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Employing Combined Subsurface and Facility Digital Twins to Optimize Production and Reduce Carbon Footprint of Oil and Gas Assets

Gerardo Muñoz

Product Marketing Manager at Aspen Technology

Session Description
Gerardo Muñoz, Product Marketing Manager at AspenTech. With a background in chemical engineering and sustainability, he’s redefining oil and gas asset optimization. Discover his insights on digital twins and sustainability in our blog.

Gerardo Muñoz shared his perspective on the oil and gas industry, emphasizing the significant advantages of utilizing digital twins. These computer models had a twofold impact: firstly, they provided a comprehensive view of what was transpiring underground during oil and gas extraction and above ground during processing, ensuring seamless coordination between the two. Secondly, advanced computer programs were employed to forecast future occurrences, such as machinery malfunctions and energy-saving opportunities. This proactive approach resulted in increased oil and gas production while simultaneously reducing energy consumption, thereby benefiting the environment. Practical instances were cited to illustrate how digital twins had effectively improved production efficiency and mitigated environmental pollution.

Key Topics
  • Practical digital twins that span reservoir and facility models and data to maximize asset performance
  • Exploit existing data and employ hybrid models to integrate AI into predictive power of the digital twin
  • Identify opportunities for carbon emission reduction in producing assets
  • Case studies

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