Advanced Modeling of Oil Reservoir Productivity

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Mohamed Soliman
Soliman has a bachelor’s degree in petroleum engineering with top honors from Cairo University, and master’s and doctoral degrees in petroleum engineering from Stanford University. His career has focused on reservoir completion and production engineering. He holds 17 patents on fracturing operations and analysis, testing and conformance applications. He is an author or co-author of over 150 technical papers and articles in areas of fracturing, reservoir engineering, well test analysis, conformance, and numerical simulation. He has designed and analyzed hundreds of pressure transients, FET, and micro-frac tests. He is a distinguished member of the Society of Petroleum Engineers.
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David McClure
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Patent Protection

Provisional Patent Application Filed 14/330,324

Advanced modeling of reservoir productivity is set to play a key role in the development and management of oil and gas fields. To prevent oil price fluctuation and meet increasing world demand, efficient extraction of petroleum resources is becoming a primary focus of production companies. Detailed modeling to determine well placement, characterize reservoirs, and highlight production areas of varying yields is a valuable asset to field optimization.

Market Applications:

• Productivity Software: Oil and Gas Reservoirs

Features, Benefits, and Advantages:

Answering the question of where to place production wells by considering rock and fluid properties with time sensitive reservoir measures can be a challenge. This invention creates a Total Dynamic Productivity Index (TDPI) as a new method to identify sweet spots in oil reservoirs.  TDPI accounts for static and dynamic reservoir measures and can be used in a map form or an input matrix to be utilized to answer Well Placement Problem (WPP).  TDPI success with WPP pronounced significant potential for TDPI to be used as an assessment tool in reservoir management decisions and development plans.

• Increased reservoir yield

• Control system efficiency

Development Stage:

This technology has been numerically proven and development is continuing.