Reservoir: "Reducing the costs and uncertainty of Deepwater Developments: Using oilfield big data to predict reservoir, field, and well performance"

Speaker: Omar Abou-Sayed
Speaker Omar Abou-Sayed
Omar Abou-Sayed's experience spans the global energy, chemicals, oilfield services, and renewables industries. He has worked in a variety of engineering, business, and organization-wide leadership roles within SuperMajor oil companies, blue chip management consulting firms, private equity funds, and venture-backed startups. He currently serves as CEO of Advantek Waste Management ...

Omar Abou-Sayed's experience spans the global energy, chemicals, oilfield services, and renewables industries. He has worked in a variety of engineering, business, and organization-wide leadership roles within SuperMajor oil companies, blue chip management consulting firms, private equity funds, and venture-backed startups. He currently serves as CEO of Advantek Waste Management Services, an TPG-backed oil and gas focused waste management company. He also holds the role of President at Advantek International, a global oilfield consulting firm focused on hydraulic fracturing, geomechanics, and data analytics and artificial intelligence applications within oil and gas. Omar began his career at BP, where he held a variety of engineering roles. Omar holds a Bachelors of Science in Mechanical Engineering from the University of Texas at Austin, and an MBA from the Harvard Business School.

Full Description

"Reducing the costs and uncertainty of Deepwater Developments: Using oilfield big data to predict reservoir, field, and well performance in the deepwater fields”


Development of assets in new frontiers can be quite costly, especially in deep-water and ultra-deep waters. These developments have many uncertainties, and each has an associated risk to both operations and project economics. Leveraging the fact that a significant amount of information has been (and continues to be) gathered in public and/or private domains for many of these assets/wells, Advantek built a data-mining framework for establishing whether reservoir and production performance could have been accurately predicted during various stages of deep-water development (“Pre-Discovery,” to “Exploration,” through to “Mature Fields”). The final results of this work were incorporated into a selection/prediction software tool and database for decision support for Advantek's E&P clients. The work helps establish priority for data acquisition and the value of that data values throughout asset development, and resulted in one of the largest privately held databases of GoM well information. Subsequently, rigorous data mining techniques were used to determine the most prominent attributes governing the performance of reservoirs at each stage of development.

Organizer Swathika Jayakumar

NEW LOCATION


FLEMING'S PRIME STEAKHOUSE


2405 W ALABAMA ST


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 Early registration fee for Members and Non-Members ends 09/15 at 5:00 PM


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When?

Thu, Sep. 21, 2017
11:30 a.m. - 1 p.m. US/Central

How Much?

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Where?

Fleming's Prime Steakhouse
2405 W Alabama St
Houston, Texas 77098
United States

 

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