Previous conference sessions
From Sandface to Topsides: How Cross-Disciplinary Teams Can Turn Fragmented Production Data into Clear, Practical, and Defensible Digital Investment Priorities for Offshore Assets
- Production losses rarely belong to one discipline. The session begins with a practical way to frame problems jointly across subsurface, wells, subsea, flow assurance, and topsides.
- It shows how operational data and engineering judgment can be brought together to separate measurement gaps, equipment constraints, process issues, and genuine optimization opportunities.
- Rather than producing another long opportunity list, the method ranks actions by production value, technical feasibility, implementation effort, operational risk, and readiness.
- The closing discussion covers ownership after the assessment, keeping disciplines engaged, converting findings into funded work, and tracking whether the expected operational value is delivered.
Enterprise AI Framework: From Rapid Innovation to Secure, Observable, and Scalable Enterprise Capability
- Examine the challenges created by rapid AI innovation, production scaling gaps, and the absence of an enterprise-ready framework for consistent deployment.
- Introduce three foundational pillars: Innovation-to-Readiness, Secure-by-Default, and Observable Systems, providing a foundation for repeatable enterprise AI success.
- Explore how the framework enables faster adoption, stronger security, operational visibility, and scalable AI delivery across the enterprise.
The Technology Trinity (Item 3) Real-time Data, Next-Gen Communication & Blockchain
- Real-time 360 degree execution visibility
- A digital nervous system for containerised and contextualized advanced communication from doers’ to decision makers
- A future technology of a multi-cloud hybrid blockchain enabled EPC project delivery system for precision in management of scope and changes
Beyond Digitalization: Transforming the End-to-End Contract Procurement Lifecycle Through an Integrated Enterprise Platform
- Transforming the end-to-end contract procurement lifecycle through integrated enterprise platforms
- Redesigning procurement processes to improve governance, efficiency, and compliance
- Enhancing collaboration through unified digital workflows and cross-functional integration
- Applying lessons learned and best practices for successful procurement transformation
- Leveraging AI-enabled automation and intelligent decision support to optimize procurement performance and business value
Beyond the Repository: Integrating Engineering Knowledge into a Living System
- Why fragmentation, not scarcity, is the real failure mode of engineering knowledge management
- The architecture of an integrated knowledge spine - connecting standards, deviations, conflicts, lessons, and experience so an insight in one propagates to all
- How an AI reasoning layer across integrated knowledge surfaces patterns, clashes, and needed standard changes no single silo could see
- A maturity path from document repositories? connected system? self-assuring, living knowledge
The Future of Energy Operations: AI, Automation, and the Digital Workforce
- Examples from ONGC and NETRA digital platform
Scaling AI and Digital Platforms Across the Enterprise: From Experimentation to Execution
- Learn how to transform AI and digital proof-of-concepts into enterprise-wide solutions through robust governance, standardized architectures, and execution frameworks.
- Discover how scalable digital platforms, data integration, and modern enterprise architectures accelerate innovation while reducing complexity and cost.
- Understand the critical role of leadership, change management, and cross-functional collaboration in embedding AI and digital capabilities across business units.
- Gain practical approaches for aligning AI and digital investments with strategic business objectives to improve operational efficiency, resilience, and long-term enterprise performance.
Data-driven Virtual Flow Meter
- Introduction physical meters vs virtual flow meter(VFM) for production flow estimation
- Machine learning/deep learning modeling for VFM
- Automated workflow pipeline
Clean Energy for Data Centers - Small Modular Nuclear Reactors (SMR)
- Benefits of SMR’s for Data Centers and AI servers – Our next tier of life Artificial General Intelligence (AIG)
- Achieving Cost Reduction at Scale: Lessons from France's Model for Building These Reactors
- Safety Challenges associated with projected increased density of nuclear reactors within civic locations
Innovative Approaches to Accelerated Facility Commissioning: A Strategy Framework for Speed, Precision, and Digital Excellence
- Overview of the proposed holistic approach to accelerating commissioning
- Emerging technologies: AI, machine learning, and their potential in commissioning
- Application of the framework and results
ENERGY FORECASTING SOLUTION TOWARD AN EFFECTIVE DIGITALIZATION FOR OIL & GAS FACILITIES- HAWIYAH GAS PLANT CASE STUDY
- Until recently, a historical data of facilities and MS Excel-based offline linear regression models were utilized to forecast and monitor the energy demand.
- Energy Demand Forecasting Solution leverages machine learning and comprehensive data analysis to overcome the challenges posed by the dynamic nature of oil & gas processing facilities.
- This project is another example toward utilizing the digital and innovative technologies for converting conceptualized engineering techniques and methodologies into effective solutions.
- Case study: This solution leads to significant reductions in the facility's energy consumption, resulting in cost avoidance and improved environmental performance.
Implementing Digital Twins in the Oil and Gas Industry: Challenges and Opportunities
- Introduction to the concept of Digital Twin: Explanation of what Digital Twins are and how they can be applied in the Oil and Gas industry
- Use cases and benefits: Practical examples of implementing Digital Twins in Oil and Gas operations, highlighting the benefits in terms of efficiency, safety, and cost reduction.
- Challenges and solutions: Discussion of the main challenges faced in implementing Digital Twins and the solutions adopted to overcome them.
Digital ROI Blueprint: Prioritize and Deliver Business Value
- A practical framework with live ROI tools to prioritize digital initiatives and focus on projects that deliver EBITDA and cash flow
- Most digital projects overpromise and underdeliver.
- Introduces a practical ROI Blueprint to evaluate and prioritize initiatives.
- Includes an interactive ROI calculator and online self-assessment for attendees to test their own projects.
- Helps leaders focus on projects that drive EBITDA, cash flow, and real business value.
Navigating the Technology Jungle: Simplifying Oil and Gas supply Chain in Industry 4.0
- Industry 4.0 in Oil and Gas: Examine Industry 4.0's role in enhancing sourcing and procurement in oil and gas, focusing on digital transformation in downstream processes.
- Highlight the challenges faced due to the rapid influx of technology and the ever-evolving supply chain landscape.
- Share real-life examples of companies that have successfully leveraged free tools to optimize their sourcing and procurement operations.
- Inspire the audience to embrace agility, explore free tools, and leverage available resources to optimize sourcing and procurement processes
Shaping Digital Strategy in the Age of GenAI, Unlocking New Pathways for Operators to Innovate, Scale, and Transform Their Organizations
- Digital transformation is no longer optional. Market pressures, workforce changes, and fast-moving technology mean digital agility is now the edge that helps operators stay competitive.
- GenAI is becoming a true growth driver. Companies are moving beyond pilots, growing budgets, and using AI agents to streamline workflows, speed up decisions, and unlock real operational value.
- Winning with digital takes more than tools. It requires leadership support, cross-team alignment, and effective governance to scale experiments into lasting enterprise impact..
Scaling and Integrating Subsurface Workflows to Transform Upstream Operations, Improve Efficiency, and Strengthen Data Governance in Modern Digital Oilfields
- How integrated subsurface data platforms and digital twins enable faster, more reliable decisions across geoscience, drilling, and production teams while reducing data silos and improving workflow automation.
- From Data Quality to Decision Quality
- Why contextualized, governed data and automated quality rules are critical for scaling analytics and AI in upstream environments and ensuring trusted insights across enterprise workflows.
- Building Scalable Digital Oilfields
- Lessons from industry deployments on aligning technology, domain expertise, and organizational change to accelerate digital integration while maintaining cybersecurity, interoperability, and operational resilience.
Digital Twin for Hydrogen Production Control in Alkaline and PEM Electrolyzers within Microgrids
- Development of an intelligent Digital Twin integrating electrical, thermal, and electrochemical models with real-time data and AI to optimize green hydrogen production using Alkaline and PEM electrolyzers within renewable microgrids.
- Implementation of a Machine Learning–based predictive module enabling early anomaly detection and predictive maintenance, improving operational reliability, reducing unexpected failures, and extending electrolyzer lifetime under intermittent renewable energy conditions.
- Simulation of multiple operating scenarios prior to deployment, minimizing technical risks and operational costs while enhancing control stability, renewable integration, system efficiency, and overall performance of smart hydrogen energy management systems.
One Governed Source of Truth: Reliable AI Across Construction, Commissioning, and Asset Operation
- Establishing a single, governed source of truth across construction, commissioning, and asset operations.
- Enabling reliable AI answers using the latest approved drawings, procedures, and SOPs.
- Automating document linking, revision comparison, and master document management to accelerate project delivery.
- Strengthening collaboration and secure information exchange between engineering teams, EPCs, and contractors.
- Reducing manual errors through version control, AI-driven quality checks, and end-to-end document traceability.
Beyond the Repository: Integrating Engineering Knowledge into a Living System
- Why fragmentation, not scarcity, is the real failure mode of engineering knowledge management
- The architecture of an integrated knowledge spine - connecting standards, deviations, conflicts, lessons, and experience so an insight in one propagates to all
- How an AI reasoning layer across integrated knowledge surfaces patterns, clashes, and needed standard changes no single silo could see
- A maturity path from document repositories? connected system? self-assuring, living knowledge
Bridging the Gap: Why Operational AI in Oil & Gas Starts at the Edge From Cloud Reliance to Edge Resilience Across the Distributed AI Factory
- Understanding why Edge AI is essential for real-time operational decision-making in oil and gas.
- Designing distributed AI architectures that balance edge, cloud, and centralized AI capabilities.
- Integrating Operational AI into existing OT environments while maintaining safety and reliability.
- Overcoming connectivity, latency, and infrastructure challenges to scale AI across industrial operations.
- Applying real-world lessons for moving AI initiatives from pilot deployments to enterprise-wide production.
Operational Intelligence: Turning Data into Business Growth
- Using LogistixIQ as a real-world case study, this presentation demonstrates how AI predicts supply chain risks that contribute to nonproductive time (NPT), automatically prioritizes recommendations, and supports operational decision-making throughout well execution. Attendees will see how AI-generated insights are embedded into daily field workflows to improve execution - not simply reported after the fact.
- The session will also explore how E&P operators can extend this approach by creating an operational data hub that enables AI agents to monitor multiple contractors, identify emerging execution risks across the supply chain, and recommend coordinated actions before performance degrades.
- Finally, the presentation will discuss the practical challenges of building an operational AI platform, including data quality, system integration, change management, and the methods used to transform fragmented operational data into trusted, actionable intelligence.
The Prediction Layer: Why the Future of BI Is Not a Better Dashboard Session
- Moving from descriptive analytics to predictive and prescriptive operational intelligence.
- Embedding AI-driven forecasting into existing BI and operational systems without replacing legacy infrastructure.
- Using predictive intelligence to anticipate equipment failures, supply chain disruptions, and capital allocation risks.
- Designing decision workflows that deliver the right insights to the right leaders in real time.
- Measuring the impact of AI through faster decisions, improved operational performance, and reduced downtime.
How Physics-Based Platforms Turn Operational Data into Real-Time Insights That Drive Efficiency, Reliability, and Enterprise-Wide Digital Transformation
- Why scaling digital transformation initiatives often stalls at pilot projects—and how physics-based, small-data AI enables enterprise-wide deployment across complex industrial assets.
- How operators can convert fragmented operational data into actionable intelligence to improve production, reliability, and emissions performance—without costly equipment upgrades or infrastructure overhauls.
- What real-world digital transformation looks like in heavy industry: integrating physics-native AI to continuously optimize operations, balance safety and environmental constraints, and unlock measurable ROI.
Implementing Digital Transformation with AI: How Agentic Systems Drive Execution, Automation, and Scalable Results Across Operations
- Moving beyond deterministic testing to validate autonomous AI in dynamic operational environments.
- Using digital twins and agent worlds to train, simulate, and test AI systems before deployment.
- Evaluating AI agents against complex scenarios, edge cases, and potential failure conditions.
- Reducing deployment risk while improving reliability, safety, and confidence in autonomous AI.
- Scaling AI-driven execution and automation across critical infrastructure through simulation-led validation.
The Technology Trinity (Item 3) Real-time Data, Next-Gen Communication & Blockchain
- Real-time 360 degree execution visibility
- A digital nervous system for containerised and contextualized advanced communication from doers’ to decision makers
- A future technology of a multi-cloud hybrid blockchain enabled EPC project delivery system for precision in management of scope and changes
From Markups to Intelligence: Using AI to Turn Engineering Documents into Faster, More Reliable Energy Project Decisions
- Learn how standardizing drawings, documents, markups, and review workflows creates the trusted information foundation AI needs to deliver useful, reliable project insights.
- Identify where AI and connected document workflows can reduce review-cycle time, limit rework, surface changes faster, and improve collaboration across owners, EPCs, contractors, and field teams.
- Leave with a practical framework for governing AI-enabled workflows, driving adoption among project teams, and measuring value through faster decisions, stronger controls, and better continuity through handover.
Fund the Business Case, Not the Pilot: Scaling Digital Twins to 7 Assets and $20-60MM/Year at a Supermajor
- Aligning digital transformation initiatives with business strategy and operational objectives
- Identifying high-value opportunities that deliver measurable business outcomes
- Applying best practices from large-scale engineering, operations, and capital projects
- Balancing technology innovation with practical business and operational requirements
- Driving sustainable, value-based digital transformation through proven implementation strategies
Industrial AI Without Accountability: Why AI Initiatives Fail to Scale and How Energy Leaders Can Turn Innovation Into Impact
- The energy industry is rapidly investing in AI, automation, and advanced analytics, but many organizations are discovering that successful transformation requires more than deploying new technology. Without clear ownership, governance, operational alignment, and measurable business outcomes, AI initiatives often remain disconnected pilots rather than enterprise-wide drivers of performance.
- Drawing from more than 30 years of leadership experience across energy, technology, and enterprise transformation, including global leadership roles at Halliburton Landmark Services, Steve Senterfit explores why industrial AI efforts stall and what leaders can do differently. This session will examine how oil and gas organizations can create accountability frameworks that connect AI investments to operational priorities, workforce adoption, and measurable value creation.
- Why AI initiatives fail when accountability and ownership are unclear
The AI Field Manager: Building a Connected Operational Decision Intelligence Layer Across Wells, Water, Vendors, and OPEX.
- Reliable, real-time decision support across well performance, water management, and capital accountability remains an unsolved operational challenge for oil and gas operators - not because data is unavailable, but because the relationships between data are not queryable.
- Critical engineering decisions involving well prioritization, produced water disposal routing, vendor cost attribution, and AFE compliance monitoring require simultaneous access to information distributed across production databases, ERP systems, completions repositories, and AP platforms.
- In the absence of a connected data architecture, this integration burden falls on individual engineers, introducing hours of manual data assembly per query and systematically limiting the frequency and quality of operational analysis.
- The session presents the real-world deployment of the reView Intelligence Platform, a graph-native AI reasoning system, that unified well data, production history, financials, vendor records, AFEs, and water infrastructure into a single auditable, queryable knowledge graph for Civitas Resources with these results in the first six weeks: - $6.7M in annualized disposal cost savings from a 40% reduction in produced water trucking - $12M in avoided capital surprises through early AFE overrun detection - Complex cross-domain query time reduced from 2+ hours to under 10 second
Is There Such a Thing as Too Much Data?
- Understanding the distinction between data and information and why having more data is rarely the real problem.
- Exploring how data follows the same economic principles as inventory. It has costs to acquire, store, maintain, move, and transform, and its value is only realized when it is put to productive use.
- Reframing the objective of the data supply chain around the decision: what information does someone actually need to know to make the right decision at the right time?
- Using AI to rethink the relationship between data, information, and decisions - consuming more data while asking whether decision-makers actually need more information.
Business Transformation for Large Corporations – Where Testing Connects
- Testing as a Strategic Enabler
- Ensuring End-to-End Process Integrity
- Data Quality & Migration Readiness
- Connecting People, Process, and Technology
How to Deploy an AI Layer for Downstream Operations and Turnarounds
- Deploying an AI layer across permits, procedures, inspections, and maintenance workflows.
- Eliminating bottlenecks caused by paper-based processes and disconnected operational systems.
- Connecting frontline workflows and operational data for real-time field visibility and faster issue resolution.
- Scaling AI from pilot deployments to enterprise-wide adoption while achieving 85% field adoption.
- Delivering measurable value through lower administrative burden, stronger compliance, and faster turnaround execution.
From Remote Tanks to Real ROI: What Large-Scale Oilfield Monitoring Deployments Teach Us About Turning Simple Field Data into Real Savings
- Drawing on our major remote tank monitoring roll-outs with oil field service companies, look at what happens when thousands of previously “dumb” field assets become connected.
- Show where the real ROI comes from: fewer truck rolls, fewer manual tank checks, better replenishment, fewer run-outs and much better visibility of remote chemical inventories.
- Explore why getting simple, reliable data from the field is often more valuable than adding another sophisticated dashboard - and why platform agnostic monitoring matters at scale.
- Share the practical lessons learned from deploying remote monitoring across demanding oilfield applications: what works, what creates value, and where operators can achieve measurable savings quickly.
“Q“ Quantum Opportunities in the Oil and Gas Industry
- Overview of D-Wave’s quantum technology available in production today
- Discussion and Proof points of Quantum Annealing out performing classical solutions.
- Opportunities in the industry where Quantum Annealing can deliver real value.
AI Agents at Enterprise Scale: Petrobras’ Real-World Journey in Intelligent Automation, Regulatory Compliance, and Operational Excellence in Oil & Gas
- How Petrobras architected and deployed an enterprise-wide intelligent automation framework using SAP S/4HANA, delivering a 47% reduction in process cycle times and 31% improvement in decision accuracy across upstream, midstream, and downstream operations.
- Pioneering implementation of an AI Agents platform specifically designed for regulatory compliance in the oil and gas industry, enabling real-time monitoring, risk mitigation, and automated audit processes at global scale.
- Design and integration of AI-driven financial systems (New Cash Flow Analyzer, TM-TRM, BPC) that increased forecast accuracy by 37%, combined with an enterprise-wide agile transformation that accelerated product delivery 3.5x while boosting employee engagement by 42%.
- Practical lessons learned from building a comprehensive digital skills acceleration program that upskilled over 3,000 employees and created sustainable ecosystem partnerships for continuous innovation.
From Pilots to Production: Scaling Trustworthy AI Across the Oil & Gas Value Chain for Real Operational and Business Impact
- Artificial Intelligence is no longer a future promise for Oil & Gas — but scaling it beyond pilots remains a leadership challenge. This session explores how AI can be effectively operationalized across the O&G value chain, from upstream exploration and predictive maintenance to downstream optimization and commercial decision-making.
- Drawing from real enterprise-scale transformations in highly regulated and asset-intensive environments, the talk addresses three critical dimensions: (1) aligning AI initiatives with core business value and operational KPIs; (2) building trust through governance, data integrity, and responsible AI practices; and (3) enabling organizational adoption by integrating people, processes, and technology.
- Attendees will leave with a pragmatic framework to move from experimentation to sustainable AI-driven performance, reducing risk while accelerating impact
A practical path to safer, more resilient, data-driven operations using edge computing, sovereign AI, and a proven cloud partner.
- Using edge computing and sovereign AI to strengthen safety, resilience, and operational efficiency.
- Aligning digital technologies with existing processes and organizational culture.
- Applying a connect, compute, protect, and learn approach to unlock real-time operational insights.
- Improving decision-making through integrated, secure, and data-driven operations.
- Building scalable digital operations through proven cloud capabilities and predictable economics.
The Invisible Intelligence Layer: Engineering Real-Time AI Systems That Serve Billions Without Breaking
- Amazon's real-time AI infrastructure—systems processing millions of decisions per second while maintaining sub-millisecond latency.
- Practical architectural principles for distributed inference optimization, adaptive ranking systems, and federated learning at scale.
- Framework for engineering graceful degradation and extending Zero Trust principles into AI governance.
- Insight into production AI systems operating at global scale—the engineering trade-offs, failure modes, and architectural decisions that determine whether AI infrastructure thrives or breaks under pressure.
From Sandface to Topsides: How Cross-Disciplinary Teams Can Turn Fragmented Production Data into Clear, Practical, and Defensible Digital Investment Priorities for Offshore Assets
- Production losses rarely belong to one discipline. The session begins with a practical way to frame problems jointly across subsurface, wells, subsea, flow assurance, and topsides.
- It shows how operational data and engineering judgment can be brought together to separate measurement gaps, equipment constraints, process issues, and genuine optimization opportunities.
- Rather than producing another long opportunity list, the method ranks actions by production value, technical feasibility, implementation effort, operational risk, and readiness.
- The closing discussion covers ownership after the assessment, keeping disciplines engaged, converting findings into funded work, and tracking whether the expected operational value is delivered.
Beyond Digitalization: Transforming the End-to-End Contract Procurement Lifecycle Through an Integrated Enterprise Platform
- Transforming the end-to-end contract procurement lifecycle through integrated enterprise platforms
- Redesigning procurement processes to improve governance, efficiency, and compliance
- Enhancing collaboration through unified digital workflows and cross-functional integration
- Applying lessons learned and best practices for successful procurement transformation
- Leveraging AI-enabled automation and intelligent decision support to optimize procurement performance and business value
Next-Gen AI-Powered Real-Time Operations Center
- Unify real-time operational data, domain intelligence, and AI-driven insights into a single decision-making platform.
- Leverage predictive and prescriptive AI to identify risks, optimize performance, and recommend actions proactively.
- Enable continuous monitoring and autonomous workflows across drilling, production, and field operations.
- Accelerate decision cycles through contextualized data, digital twins, and real-time collaboration environments.
Laying the Groundwork: Why AI and Digital Transformation Depend on a Strong Industrial Data Foundation
- Explore how Oil & Gas companies can assess and close industrial data gaps that slow AI and digital transformation efforts.
- Understand strategies for building a contextualized, real-time data infrastructure that bridges OT and IT systems.
- Understand the key components of an Industrial Data Strategy.
- Learn how Oil & Gas leaders are building an enterprise data architecture and leveraging AI.
- See how Industrial DataOps technology enables faster, more scalable deployments of AI, analytics, and automation across the enterprise.
Shaping Digital Strategy in the Age of GenAI, Unlocking New Pathways for Operators to Innovate, Scale, and Transform Their Organizations
- Digital transformation is no longer optional. Market pressures, workforce changes, and fast-moving technology mean digital agility is now the edge that helps operators stay competitive.
- GenAI is becoming a true growth driver. Companies are moving beyond pilots, growing budgets, and using AI agents to streamline workflows, speed up decisions, and unlock real operational value.
- Winning with digital takes more than tools. It requires leadership support, cross-team alignment, and effective governance to scale experiments into lasting enterprise impact..
Maximizing Gas Efficiency and Sustainability Through SMART: A Digital Approach to Demand Forecasting and Supply Optimization
- Leveraging the SMART tool for real-time demand forecasting and optimized supply planning
- Enhancing gas allocation to national power generation during peak consumption periods
- Utilizing digital analytics to schedule outages and maintain pipeline inventory health
- Reducing crude burn and CO? emissions through maximized natural gas production
Discover how Chevron’s Wells Digital Platform tackled fragmented planning and visibility gaps by adopting OnePlan, enabling clear prioritization, real-time progress tracking, and stronger governance to align strategy with execution.
- Oil and gas organizations face mounting pressure to deliver value faster while managing finite capacity. Fragmented planning tools, inconsistent intake processes, and limited transparency often hinder strategic alignment and execution
- This session explores how Chevron’s Wells Digital Platform addressed these challenges by adopting OnePlan as its portfolio management backbone
- Learn how the approach enabled clear prioritization, real-time visibility, and stronger governance—reducing manual effort, linking strategy to execution, and setting the stage for outcome-based investment decisions.
Redefining the Audit: A Digital Blueprint for Hydrocarbon Measurement, Governance, and Compliance
- In an era where digital transformation is often more buzz than breakthrough, how do you turn fragmented field real-time data into regulatory trust, financial clarity, operational control, and financial clarity?
- Dr. Daere Akobo, CEO of AKD Digital Solutions, presents a compelling case study on Measurement di²to², the first end-to-end digital audit and hydrocarbon measurement platform for the upstream oil and gas sector.
- The session will explore how digital twins, AI-enabled analytics, GIS-powered asset mapping, and closed-loop governance are reshaping and redefining regulatory and commercial engagements at a national scale.
- Whether you’re managing field assets, reconciling volumes data across a fragmented ecosystem, or accountable for revenue assurance,di²to² shows how to build a future-ready, digitally governed operation that moves beyond compliance and toward precision and performance to deliver measurable precision, trust, and performance.
The Uncomfortable Truths of Inefficiency and How to Optimize Enterprise-wide Productivity and Compliance through Content Management
- Recognize everyday efficiency zappers and learn how to increase the productivity of your workers 50-70% by leveraging GenAI to automate the organization and governance of information throughout your organization.
- Discover how a multinational Oil & Gas company overcame risk and compliance challenges in both HR and complex capital projects with a single information management system, now adopted by thousands of employees.
- Be one of the first to see a new and innovative approach to managing business-critical content, Oil & Gas industry-specific processes and workflows natively in Microsoft 365
Unifying Siloed Systems to Create a Single Source of Truth
- Break Down Barriers: Identify and integrate disconnected systems across departments to eliminate duplication and data confusion.
- Define Shared KPIs: Align teams around standardized definitions for key metrics to ensure consistent reporting and performance measurement.
- Centralize with Care: Use data lakes, warehouses, or integration tools to build a reliable foundation—without forcing a one-size-fits-all platform.
- Govern Access and Ownership: Establish clear roles, data stewardship, and access policies so the right people have the right data at the right time.
- Enable Decision-Making at Every Level: Deliver clean, trusted, and actionable insights to executives, field teams, and analysts—reducing delays and driving better outcomes.
Digital Workplace AI Tool Assessment and Recommendations for the Oil & Gas Industry
- Intro and overview of Sunipro
- Common Digital Workplace Challenges facing Oil & Gas companies across Data Management, Service Desk Management, Project Management and Workflow Management
- AI Tool recommendations and considerations when evaluating new DWP AI Tools
- Key Insights and Succes Factors for successful implementation
From Tribal Knowledge to Trusted AI Knowledge Base
- The challenge: Energy operators depend on hundreds of legacy apps that are difficult to maintain and risky to change.
- The business impact: Delays in modernization stall innovation, increase attrition risk, and slow delivery of new business capabilities.
- The opportunity: AI-driven knowledge bases de-risk legacy portfolios, shorten engineer ramp-up, and free teams to build the products the business needs.
Unlocking the Digital Future: Converging People, Culture, and AI
- Explore how people, culture, and AI converge to drive adoption, safety, and ROI, with a live readiness assessment.
- Technology alone doesn’t guarantee digital success.
- Explores how people, culture, and AI must converge to drive adoption, safety, and ROI.
- Includes a short online assessment for attendees to benchmark change readiness.
- Provides actionable insights for building a resilient digital workforce and ensuring sustainable business value.
Bringing AI Automation into Process Safety
- This session explores how AI-driven automation is enhancing process safety management across industrial operations. The discussion will examine how advanced scan models can isolate and digitally represent assets, including lines and components, to improve operational visibility and accuracy. Attendees will gain insights into automated asset tagging, integration with existing P&IDs and related documentation, and the creation of accessible digital asset data environments. The session will also highlight how AI-enabled applications within digital models can strengthen process safety management, improve operational efficiency, and support safer, more informed decision-making across complex industrial facilities.
Understanding the Automation Continuum in Energy
- Who is SS&C Blue Prism?
- What we've learned as customer zero
- Why do AI Automations fail?
- What is the Agentic journey?
- What is means to use the right tool for the right job
Innovative Approaches to Accelerated Facility Commissioning: A Strategy Framework for Speed, Precision, and Digital Excellence
- Overview of the proposed holistic approach to accelerating commissioning
- Emerging technologies: AI, machine learning, and their potential in commissioning
- Application of the framework and results
plantOS: A One-Stop, Data-Centric, and Comprehensive Solution for Oil & Gas O&M
- As an EPC contractor, we have always acted as neutral integrators, combining diverse technologies and vendors to deliver complex physical plants. Extending this expertise into the digital domain, we developed plantOS — a one-stop, data-centric, and comprehensive solution for oil and gas digital transformation. plantOS integrates process knowledge, AI, IoT, and Digital Twin technologies to enable truly data-driven O&M activities, improving decision-making, predictive maintenance, and plant reliability
- Uniquely, we curate best-of-breed, cutting-edge technologies from around the world and integrate them under a unified framework, ensuring flexibility and alignment with each client’s needs. This curated, vendor-independent approach empowers operators to take advantage of the latest innovations while maintaining long-term adaptability
- The presentation will highlight real-world cases where plantOS delivered actionable insights, enhanced asset integrity, and sustainable performance — bridging the physical and digital worlds to achieve operational excellence
New Language, New Era in Shipbuilding
- Traditionally, 2D drawings have been the primary means of communication throughout the shipbuilding lifecycle.
- However, the industry is shifting toward a "Single Source of Truth" approach, where 3D models are becoming the central medium of communication.
- Government-led initiatives are also promoting the use of 3D models to enhance collaboration between shipyards and partner companies.
- This presentation highlights how the "language" of shipbuilding is evolving from 2D drawings to 3D models..
Bridging the Tech Gap: How Oil & Gas Leaders Can Modernize Without Overwhelm by Aligning Story, Strategy, and Systems for Sustainable Digital Transformation
- Discover a practical framework for identifying which technologies and processes truly matter, so leaders can prioritize investments with clarity and confidence
- Learn how to align leadership, strategy, and IT systems to prevent overwhelm and keep digital transformation efforts on track
- Explore strategies to recognize and resolve tech debt without losing momentum or straining organizational resources
- Gain actionable tools to streamline operations, strengthen leadership alignment, and modernize while maintaining focus on core business priorities
Digital ROI Blueprint: Prioritize and Deliver Business Value
- A practical framework with live ROI tools to prioritize digital initiatives and focus on projects that deliver EBITDA and cash flow
- Most digital projects overpromise and underdeliver.
- Introduces a practical ROI Blueprint to evaluate and prioritize initiatives.
- Includes an interactive ROI calculator and online self-assessment for attendees to test their own projects.
- Helps leaders focus on projects that drive EBITDA, cash flow, and real business value.
Smart Moves to Modern Manufacturing
- In this session, we’ll explore the Smart Industry Readiness Index (SIRI) methodology—a globally recognized framework developed to help manufacturers assess and accelerate their digital transformation journey.
- We’ll begin by unpacking the three core building blocks of SIRI: Process, Technology, and Organization, followed by a walkthrough of the assessment matrix and prioritization tools used to identify high-impact areas.
- Real-world examples from Yokogawa’s global engagements will illustrate how SIRI enables companies to benchmark maturity, align transformation goals with ROI, and build actionable roadmaps.
Cost-Effectively Optimizing Deviated Well Production
- Advanced Solution for Rod Lift in Deviated Wells – A validated automation algorithm built for deviated and horizontal wells, bridging the gap between modern drilling practices and outdated optimization models to improve rod lift efficiency.
- Operational Impact – Enhances pump fillage accuracy, diagnostic reliability, and operational decisions, helping operators reduce downtime and optimize production performance in complex well geometries where legacy algorithms fall short.
- Cost & Efficiency Benefits – Extends rod string life, reduces failure rates, and minimizes costly workover rig interventions (averaging $160,000 per cycle), driving significant cost savings and better well economics
- Future Benchmark – Establishes a new performance standard for artificial lift by combining validated data-driven insights with automation, reducing over-engineering while optimizing reliability and lowering operating costs in deviated wells
From Energy Hungry to Energy Smart: The Future of Sustainable Data Centers
- Data centres’ rising energy demand and the impact of AI workloads.
- Smart efficiency solutions: AI-driven optimization, liquid cooling, and waste heat recovery.
- Clean energy transition: renewables, hydrogen backup, battery storage, and emerging SMRs for reliable baseload.
- Future vision: data centres as flexible, sustainable hubs supporting the energy transition.
Smart Digital Hospitality: Redefining Workforce Wellbeing and Productivity in Oil & Gas
- Hospitality as Workforce Strategy – It is beyond rooms and meals – To position hospitality as a driver of safety, morale, and employee retention.
- Smart Workforce Villages – Using IoT, AI, and automation to transform worker accommodations into digital-first hospitality hubs (energy-efficient housing, wellness facilities, entertainment, communication with families).
- Personalized Workforce Experience – Leveraging data (health, food preferences, shift patterns) to tailor services, improving wellbeing and efficiency.
- ESG Link – Sustainable accommodations (green buildings, renewable energy use, optimized logistics) contributing to net-zero targets.
- Cross-Industry Benchmarking – Draw parallels with cruise lines, aviation, and hospitality industries to show how oil & gas can adopt proven hospitality models to elevate worker experience.
Full Closed Loop AI/ML automation of the DCS towards SOx control in the crude oil refinery.
- 100% Closed Loop AI/ML implementation in manufacturing as first of its kind in the World with Patent filed.
- Fully customizable AI/ML model trains & provides set point to DCS in real time.
- Benefits achieved are 10% reduction in chemical consumption & 90% reduction SOx deviations.
From Tubulars to Transformation: Digitalising Supply Chain and Surplus Management
- Marubeni-Itochu Tubulars's digital transformation journey has led to the development of Tubestream and Pipesales, innovative systems that revolutionize supply chain and surplus management in the oil and gas industry. Tubestream, initially designed for tubular products, enhances supply chain and contract management through seamless information flow across departments. Pipesales addresses surplus tubular disposal, transforming potential waste into valuable assets.
- Key insights from our journey include the critical role of cross-departmental collaboration and the benefits of integrated digital solutions, such as cost savings and operational efficiency. Looking ahead, connecting these systems with customers promises an even more cohesive supply chain ecosystem. Join us to explore how these digital innovations can drive growth and sustainability in the oil and gas sector.
From Wells to Wealth: Unlocking the Power of Digital Twins and AI in Oil & Gas Asset Management
- Digital Revolution: How digital twins are reshaping asset monitoring and maintenance in the Oil & Gas sector
- AI-Driven Insights: Leveraging machine learning for predictive analytics and optimized decision-making
- ROI Amplified: Case studies showcasing significant cost savings and efficiency gains
- Future-Proofing Operations: Adapting to market volatility with agile, data-driven strategies
- Seamless Integration: Our solution's compatibility with existing infrastructure and scalability
Harnessing AI and ML for Enhanced Project Controls - A Case Study
- Practical strategies and real-world examples that demonstrate the transformative power of AI in managing complex projects effectively.
- Learn how predictive analytics, machine learning, and real-time data processing can transform traditional project controls, offering more accurate forecasts and smarter decision-making capabilities.
- Predictive analytics for project risk management, AI-driven planning, scheduling and resource allocation, and real-time data analysis for proactive monitoring.
Data Driven Digital Transformation - Powering Upstream Oil and Gas Use cases
- Upstream typically face a unique set of data challenges because of poor data connectivity, archaic systems and harsh environments
- MQTT is an open source message protocol that is based on publish subscribe architecture and is very efficient in low bandwidth, connectivity and harsh environments.
- In this presentation, you will learn about how MQTT and HiveMQ enable upstream oil and gas companies to achieve their digital transformation use cases like Remote Well Monitoring, Asset Health Monitoring and Production Optimization.
Embracing Digital Transformation: Empowering Businesses through People, Process, and Technology
- Introduction: Changing People and Processes to realize the benefits of data and digital technology
- Hybrid Planning and Execution Methodology: Explain the methodology in a step-by-step manner, highlighting its benefits and successful implementation examples.
- Case Studies: Present two real-life examples showcasing how operational data and technology have driven positive outcomes.
- AI Use Case: Discuss a specific AI application that enhances facility management and future-proofing strategies.
Generative AI in Oil & Gas manufacturing process – no longer fiction
- In 2023 the buzz around Gen AI took over the world. A year later, we see significant adoption of Gen AI in the industry and many organizations are either experimenting or already implementing Gen AI a
- For this session will have curated a selection of tangible Gen AI use cases for manufacturing and operations in O&G – upstream, midstream, and downstream
- We will see how Gen AI supports process optimization, quality control, maintenance & reliability, and supply chain management.
- Finally, we will discuss a methodology to Gen AI capabilities development as well as tip and tricks to successful prompting.
The Rise of 5G: Transforming Connectivity with Private Networks for IoT and Industry Applications, and Enhancing Public NetworkCapabilities for Redundant WAN Connectivity.
- Emerging Importance of Private Cellular Networks: Private cellular networks are revolutionizing IoT, user connectivity, safety, and asset monitoring. Technologies such as drones and robo-dogs equipped with various sensors are enhancing these capabilities, providing secure coverage with fewer radios compared to traditional wireless access points.
- Adoption and Deployment in Industry: Companies are increasingly adopting private 5G networks. Notably, during my tenure at MPC, my team initiated a pilot program at two refineries, which has since expanded to all 16 MPC refineries, demonstrating significant benefits and securing industry-wide adoption. Public 5G offerings like C-band and Ultrawide band are also being utilized for redundant WAN connectivity and primary roles in well-covered areas.
Why Oil & Gas Companies Need More Than a Standard ERP System.
- Improve Efficiency and Profitability Through an ERP Tailored to your Oil & Gas Requirements.
- How Oil & Gas Companies Can Benefit from Having an ERP Customized to Meet Their Needs and Meet the Changing Demands of the Oil & Gas Industry.
SWITZERLAND AS A TRADING CENTRE FOR OIL AND GAS: Opportunities & Challenges
- Role of Technology in Oil and Gas Trading (USE CASES OF BLOCKCHAIN FOR OIL AND GAS)
- Swiss Liberal Law
- Swiss Tax Framework (Switzerland offers a highly favourable tax regime for international trading companies, which has been instrumental in attracting major players in the oil and gas sector)
- Sanctions Compliance and Strategies
Advanced digital twin technology from the nuclear sector and its application in the oil & gas
- AI and Digital Twins are revolutionizing industries with clear investment benefits. At the HADRON Laboratory, part of the Institute for Energy Technology, we offer innovative solutions for facility lifecycle management, specializing in safety-critical applications like nuclear. We integrate AI and Digital Twins with advanced physics models for impact assessment and use robotics for data collection. Our mission is to enhance safety and efficiency through a holistic approach combining AI, data, robotics, and Digital Twins.
The Ultimate Double Move: Operationalizing AI and Achieving Process Excellence
- AI implementation is expensive. One of the best places to operationalize AI is through processes, especially end-to-end orchestrations that drive business-critical strategic KPIs.
- By combining AI with processes, AI can guide processes to achieve business goals continuously including closed-loop optimization. Yet not all process solutions can operationalize AI without incurring technical debt.
- Why an abstraction-enabled composable platform can enable the reuse of existing IT investments to create AI-ready automation and orchestrations that generate AI-ready data to operationalize AI and eliminate technical debt.
Unleashing Efficiency: Empowering Gas Wells Handover Through Digital Transformation.
- Objectives/Scope - Oil and gas industry is undergoing a remarkable transformation as it embraces digital technologies to streamline operations and enhance productivity. One area that has witnessed significant advancements is the transition from paper-based to digital workflows in the gas wells handover process
- Methods, Procedures, Process- This abstract explores the journey of digital transformation in gas wells handover and highlights how this transition unleashes efficiency and empowers the industry. By replacing cumbersome paper-based systems with intuitive digital workflow
- Results, Observations, Conclusions- The abstract delves into the key benefits of embracing digital transformation in gas wells handover, including enhanced efficiency, real-time collaboration, improved document control, centralized storage, and accessibility.
- Novel/Additive Information- The abstract concludes by highlighting the importance of embracing digital transformation and the potential it holds for optimizing the gas wells handover process.
- Key words- Efficiency, Digital Transformation, Gas Wells, Handover, Transition, Document Control, Sustainability, Operational Excellence, Data Analytics
ENERGY FORECASTING SOLUTION TOWARD AN EFFECTIVE DIGITALIZATION FOR OIL & GAS FACILITIES- HAWIYAH GAS PLANT CASE STUDY
- Until recently, a historical data of facilities and MS Excel-based offline linear regression models were utilized to forecast and monitor the energy demand.
- Energy Demand Forecasting Solution leverages machine learning and comprehensive data analysis to overcome the challenges posed by the dynamic nature of oil & gas processing facilities.
- This project is another example toward utilizing the digital and innovative technologies for converting conceptualized engineering techniques and methodologies into effective solutions.
- Case study: This solution leads to significant reductions in the facility's energy consumption, resulting in cost avoidance and improved environmental performance.
Leveraging LoRaWAN Technology for Smart Utility Solutions Across Gas, Water, and Electric Markets
- Exploring how LoRaWAN is transforming natural gas safety and efficiency through remote monitoring and valve shut-off capabilities.
- Advancing water AMI initiatives with scalable LoRaWAN networks for enhanced resource conservation and sustainability.
- Enabling electric utility innovations with smart metering, microgrid management, and wildfire mitigation through LoRaWAN solutions.
- Showcasing real-world case studies of LoRaWAN deployments across utilities to solve infrastructure and service challenges.
- Highlighting partnerships and innovations that enhance connectivity and safety in gas, water, and electric utilities through advanced IoT applications.
Generative AI for Supply Chain
- Why Generative AI is important for Oil and Gas Supply Chain
- What benefits does Generative AI have over Traditional AI in supply chains?
- Steps in adopting Generative AI in Oil and Gas supply chain organizations
- Oil and Gas Supply chain use cases for Generative AI
ML-generated metadata and Agile Governance improves data Trust and Accessibility.
- Ever have one or more of these data challenges – all team members not using or knowing which is the most up to date data input file, can’t find critical data from acquired assets for regulatory reporting, manual searching and cataloguing of acquired asset data, multiple versions of files taking up large volumes of storage?
- Digital Transformation is a step change driven by combining first principal approaches with data-driven insights to drive key business decisions. Reliable and accessible data is therefore key to drive digital transformation
- Data-driven approaches require easy access to high quality data with reliable context for understanding. A local case study reveals that clunky file systems and fragile folder/file organization conventions create huge impediments for data science due to duplication, inconsistency and generally unreliable datasets.
- A scalable, trusted metadata management approach or system? can bring context to data and a cloud-based, intuitive, user-friendly discovery system can provide search and visualization of available data sets with lineage and quality context. Embracing agile, smart data governance policies shift data management perspective from one of burden to overall asset team value.
- presentation will focus on the challenges and the solution employed accelerating the digital transformation journey for companies in the acquisition space.
Information Intelligence: The key to mitigating geopolitical risk and gaining competitive advantage
- Geopolitics is back and energy companies have been caught in the middle, and often lost as a result
- Geopolitics is only getting harsher and could create further instability in the energy markets
- How can you better navigate a volatile geopolitical landscape with robust information intelligence tools?
Overview of Oil recovery mechanisms and water injection
- This presentation talks about the different oil recovery mechanisms and the need for water injection.
- Also covers an overview of the seawater injection schemes, spectrum of filtration, and particle removal.
Digital Transformation in the Oil and Gas Industry - A roadmap
- All industries and functions are undergoing digital transformation, and Oil and Gas too is undergoing big changes due to cost drivers, the move towards green energy, and global economic trends.
- Digital Transformation in today's context is using the latest digital technologies to derive 2X to 10X benefits.
- This is in a new and volatile changing era, which involves deep use of insights, citizen-developed digital solutions / No-Code tools.
DQRA - digital and dynamic 3D risk watcher and activity planner
- While traditional QRAs provide significant insight into risk drivers during the design of facilities and plants, they are not able to sufficiently support day-to-day decision making during operation.
- Vysus Group has developed a new approach to 3D risk calculations which utilises digital information.
- DQRAs aim to take the QRA down from the bookshelf and into the control room for improved operational decision-making.
Top 4 Lessons Learned as a Digital Project Manager: Insights from a Digital Factory
- Who am I? My experience as a digital manager and how my personal life informs my professional life.
- The #1 skill to work as a digital manager: Empathy. The need to ask and give at the same time for team growth and development.
- Digitalizing is faster through the implementation of MVPs, which allows for business ideas and processes to be automated faster and more efficiently.
- Investing in the discovery phase is key to saving time and resources in the long run.
- The hardest part of project management is transitioning knowledge and processes to new maintenance teams. After all, it's harder to build a bridge to connect an island than it is to build the island itself.
IoT and Big Data: Opportunities for the Upstream Oil and Gas Industry
- IoT technologies, deployed with big data and analytics, deliver value by ensuring greater asset integrity, optimising production, minimising downtime, achieving cost efficiency, and ensuring safer operations.
Data-driven to Knowledge-driven organizations - "Model Based Anything (MBx)"
- The impact of each decision in the oil & gas industry is significant. Oil & Gas companies invest in a data platform to make the best possible decisions - "do things right".
- However, this is not enough to prepare for any future disruption. Managed knowledge can help employees to "do the right thing" and "avoid the same mistakes".
- NASA is driving digital transformation with "MBx" to effectively manage a $40B asset and supply chain. We'd like to explain how MBx can be applied to the oil & gas industry.
Antecedents for the adoption of Big data and AI in Chemical Industry
- This presentation follows results of a survey-based quantitative method using structural equation modelling. The data collected was studied to draw scientific conclusions about the myriad of hypothesised relationships. This was accomplished by employing a positivist paradigm in the process.
- This study recognises the strong relationship between data scalability, process monitoring, and the investment in tools for big data/AI adoption as a contribution towards industry application and practice. Mediation effects between the constructs and final measures, and the significance of their relationships was established.
- This finding of this presentation contributes to the application of the Unified Theory of Acceptance and Use of Technology in the chemical industry to be limited in early stages of technology adoption. Based on the literature survey and outcomes, it positions the chemical industry in early stages of big data maturity.
- This presentation's conclusions and contributions towards practical application are expected to enable a shift from conventional methods towards a data-driven approach to decision-making in the chemical industry.
Leveraging digital initiatives for business transformation
- Larsen and Toubro (L&T) Heavy Engineering have been leveraging digitalisation and automation to improve business delivery.
- Some examples of such digitalisation initiatives for Modification, Revamp & Upgrade (MRU) Business and Specialised Fabrication Unit (SFU) business will be discussed during this session.
A small step to change can be a giant leap for the Organization
- A journey of an E&P organization to change the way of working and bring in more efficiency, transparency with quicker decision making
- Moving from manual management of contracts to automation through implementation of Contract lifecycle management tool- A new way of working for all major functions in the company
- Key pillars for Organization wide digital transformation- Workflow configuration, change management, data
- The results are more qualitative than quantitative- Atleast 50% reduction in major decisions, claims reduction, single source of truth between company and supplier, reduced manhours spent and more.
Fireside chat with Tanay Tiwary, Head - Business Process Transformation & Master Data Mgmt from Puma Energy
The Grave Need for a Holistic Systems Approach
- Digital Transformation is often presented from the prism of emerging technologies (IoT, RPA, AI, etc), which often ignores the subtle complexities that need to be addressed that span the whole value chain which consist of two main blocks: Digital Product Delivery (technical landscape and the IT/Digital Delivery teams), and Digital Products (product design and architecture and business users and customers).
- This requires a holistic systems approach that employs Progressive Enterprise Architecture and Mature Business Architecture practices, as well as, hyper-automation, XOps, Team-level agility, Organization/Business Agility and Design Thinking.
- This is particularly true in large companies with many systems and sources of data, and when addressing
Digital twin: Unlocking the power of your asset's data
- Wood's full asset lifecycle approach to digital twin
- Unlocking the biggest challenges faced by clients both now and in the future
- Wood?s digital twin approach for capital projects including case studies
Disrupting the oil and gas industry with Digital Transformation
- Why Digital Transformation
- Digital transformation - a means to stay competitive in the VUCA world
- Change management in a Digital Transformation Journey
Asset Management Innovation: A Model To Improve The Management Of Engineering Information
- Strategy One: Organizational Roadmap
- Strategy Two: Dynamic Information
- Strategy Three: Data Democratization
Take aways in our Digital Journey in E&P: 2018 - 2022
- Greenfield First Digital Wave (18 - 22): Expectations vs reality - what we defined back in 2018 and where we are in 2022
- Lessons learnt: Histories of failure, of pain and of success during the journey
- Brownfield Second Digital Wave (23 - 25): Focus on data
The Personal Data and Identity Meeting of the Waters: Now and The Future
- Visualizing and wrapping one's head around the physical:digital confluence
- Grappling with the five undercurrents of digital transformation: technology, economics, laws & regulations, culture, and politics
- Planting personal data and actionable insight at the core of your business to create value for your business and those you serve
- Employing wisdom learning to refine your plans, motivate your teams, and thrive
INL Digital Engineering
- Digital Engineering
- Model-Based Systems Engineering (MBSE)
- Digital Thread
- Artificial Intelligence (AI)
- Extended Reality (XR)
Industrial Cybersecurity - A Business Driver and not a Cost Center
- Understand the cybersecurity threat vectors and their impact on operations
- What are the challenges to implementing an effective cybersecurity strategy?
- How to turn cybersecurity into a revenue enabler?
The big shift in the mindset and ways of working of enterprise and solution architects in Agile product development
- How does the traditional way of thinking about and doing architecture change in an Agile product development environment.
- How do architects and their teams define a digital technology state that can evolve every few weeks based on customers feedback on their digital products
- How to allow for architecture decision making where analysis paralysis is not acceptable but mistakes are, if you can recover from them.
Oil & Gas Retail Sites in a digital era
- Disruptive times and how to handle
- Customer Centric operations
- Digital transformation in a challenging world
- Digital innovation in practice
Improving operations efficiency via digitizing the procurement & supply chain processes
- What are the main motivators for adopting digital technologies for the procurement and supply chain processes? These motivators will encourage Oil & Gas operators as well as service companies to opt for digitizing their processes.
- Exploring the benefits of digitizing procurement & supply chain processes: Various types of benefits can be realized upon deploying digital transformation, some are more relevant to the Oil & Gas industry.
- Highlighting the associated challenges related to deploying digital transformation: What is the biggest hurdle related to digitalization? And what are the key inhibitors for it?
Crossing the Digital Divide to make effective use of digital asset data
- Accessing and using the orders of magnitude information beyond the process variable from sensors and edge devices for commissioning and maintenance
- How asset data revolutionizes the commissioning and troubleshooting experience
- International standards activities supporting the digital asset data initiative
REAL-TIME PROCESS MANAGEMENT - NEW STANDARD FOR ORGANIZATION
- Digital organization and integrated business environment, BPMN values and benefits for agile digital transformation
Is Predictive Maintenance and Condition Monitoring ready for Digital Transformation in Oil & Gas?
- Why digitalizing condition monitoring and predictive maintenance is highly desirable but more challenging for upstream Oil & Gas
- Why adopting new digital technologies such as wireless vibration sensors require more careful consideration than other industries
- Why a risk based approach to condition based maintenance is required when going digital and how AI and machine learning would need to think to achieve the holy grail of prescriptive maintenance
Becoming an operator leveraging digital technologies to support remote operations
- Building supporting infrastructure in remote areas of Australia's Cooper Basin
- Worker safety in remote areas - knowing where everyone is at any one time
- Providing up-to-date information to a dispersed workforce
- Production enablement and optimisation using off-the-shelf / cloud-based technology
Application of Organizational Change Management for the Maximization of value in Digitalization and introduction of new Technologies.
- Understanding, Identifying and analyzing the Changes in Technology - What is changing? For Whom is it Changing? What?s its effect?
- Develop a robust Change management Plan and Strategies.
- Focus on how to derive maximum value from the adoption of Digitalization in the industry.
Improving Offshore Operations Through Industrial Mobility
- What does Industrial Mobility mean?
- What are the key enablers for robust industrial mobility implementation for offshore platforms?
- What are the application and benefits of Industrial Mobility in offshore oil & gas facilities?
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