Harnessing the Power of Data: AI & ML in Proactive Maintenance and Emissions Forecasting

ABOUT THE SESSION

Whitney Olmsted will share her views on how AI and ML technologies are revolutionizing safety, predictive maintenance, and emissions forecasting in the oil and gas industry. She will discuss how leveraging historical incident data can help mitigate safety risks and predict future occurrences. By enabling early identification of potential equipment failures and optimizing maintenance schedules, these technologies are enhancing predictive maintenance practices. Whitney will also explore how automation is streamlining the generation of auditable, compliant reports, and how AI is being used to forecast future emissions trends—ensuring regulatory compliance and proactive environmental management. 

• Safety – Mitigate safety risks and severity by using past incidents to predict future occurrences 
• Predictive Maintenance – Enable early identification of potential equipment failures and optimize maintenance schedules 
• Emissions Forecasting – Automate the generation of auditable, compliant reports and use AI to forecast future emissions trends