Make Better, Faster Decisions Powered by Augmented AI, Leveraging Basin Level Knowledge Captured by Big Data Sculpting
An Extra 45 Minutes Can Provide
a World of Knowledge
Thursday, November 21st @ 11:30 AM
Petroleum Club, 12th Floor
5060 California Ave, Bakersfield, CA 93309
Speaker: Ehsan Davani, Sr. Production Engineer, Quantum Reservoir Impact
Reservations: RSVP by Nov. 18th to avoid walk-in payments
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Data-driven decision making is becoming more popular in Unconventional. However, since well performance is impacted by many factors (e.g. geological characteristics, completion design, well design, etc.), the challenge is uncovering trends from all the noise. A differentiated and superior “Augmented AI” technology provides quick and science-based answers for optimized well spacing, optimized completion design, remaining potential of an asset, water floods, and artificial lift streamlining decision-making for operators, investment banks, and traders. In this presentation, learn more about big data sculpting, integrating private & public data, uncertainty quantification, and applicable AI. New case studies will be presented.
Dr. Davani is a senior production engineer at Quantum Reservoir Impact (QRI) with over 11 years of worldwide industry experience. He has extensive knowledge in artificial lift optimization, integrated production modeling, digital oil field and asset management. He was involved in field development planning and artificial lift optimization projects in seven giant fields in Colombia and Peru. Recently he is working on well spacing optimization in Permian basin. Prior to QRI, Dr. Davani worked in Chevron and EDG consulting engineers for eight years. He was leading a team to build and implement of an integrated production digital oilfield system for assets in the Gulf of Mexico, Angola, Nigeria, and Thailand.
Dr. Davani is a registered Texas professional engineer (PE). He has (co)authored several technical papers and a book. He also serves as an associate editor in Journal of Natural Gas Science and Engineering (JNSGE) since 2013.