Episode 175: Searching for the perfect digital twin of the seismic reservoir

The seismic data set is a fundamental requirement for producing oil and gas fields. Reservoir modeling utilizing seismic interpretations drove insights into reservoir quality and performance, helping to understand the communication between reservoir units and wells, particularly in fields with many wells. Over time, technological advancements led to a reduction in the cost of reservoir modeling, while increased acquisition, processing, and utility of seismic data provided the means to drive innovation toward incorporating seismic. Today, 3D and 4D seismic data play pivotal roles in defining and updating reservoir models where hundreds to thousands of simulations can be realized in a reservoir model to explore history matching and model uncertainties.

In this conversation with host Andrew Geary, guest editor Katie Baker explores seismic reservoir modeling as highlighted by five papers in The Leading Edge. Katie showcases the key technological advancements that unlocked seismic in defining and updating reservoir models and the historical connection between seismic data sets and reservoir modeling. She also explains the power and future of ensemble modeling and spotlights an alternative to the arduous training libraries for machine learning and seismic. 

Katie Baker is the Longui Subsurface Lead – Angola Blk0 at Chevron and President-Elect at the Geophysical Society of Houston.

Seismic Soundoff · 175: Searching for the perfect digital twin of the seismic reservoir

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Original music created by Zach Bridges. Andrew Geary hosted, edited, and produced this episode at 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.

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