Michael King
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- Reviews0
- School: Texas A&M University
- Campus: College Station
- Department: Engineering
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- Phone: Join to see
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Location:
College Station, TX - Dates at Texas A&M University: -
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Biography
Texas A&M University College Station - Engineering
Experience
BP America, Inc.
Senior Advisor
Michael worked at BP America, Inc. as a Senior Advisor
Texas A&M University
Professor, Petroleum Engineering
Michael worked at Texas A&M University as a Professor, Petroleum Engineering
BP
Reservoir Engineer
Michael worked at BP as a Reservoir Engineer
Education
The Cooper Union for the Advancement of Science and Art
BS
Physics, Math
Syracuse University
MS, PhD
Physics
Publications
A hierarchical streamline-assisted history matching approach with global and local parameter updates
Journal of Petroleum Science and Engineering
A hierarchical streamline-assisted history matching approach is presented. Two step procedure with global and local calibrations. A genetic algorithm is used for global parameter calibration. A streamline sensitivity-based method is used for local parameter calibration. Geologic realism is preserved by ensuring minimum changes in local calibration.
A hierarchical streamline-assisted history matching approach with global and local parameter updates
Journal of Petroleum Science and Engineering
A hierarchical streamline-assisted history matching approach is presented. Two step procedure with global and local calibrations. A genetic algorithm is used for global parameter calibration. A streamline sensitivity-based method is used for local parameter calibration. Geologic realism is preserved by ensuring minimum changes in local calibration.
A Simulation-Free Approach for Well Placement in Tight Gas Reservoirs
2013 IPTC
This paper introduces a rapid simulation-free procedure to determine infill well locations, which also takes reservoir uncertainty into consideration.
A hierarchical streamline-assisted history matching approach with global and local parameter updates
Journal of Petroleum Science and Engineering
A hierarchical streamline-assisted history matching approach is presented. Two step procedure with global and local calibrations. A genetic algorithm is used for global parameter calibration. A streamline sensitivity-based method is used for local parameter calibration. Geologic realism is preserved by ensuring minimum changes in local calibration.
A Simulation-Free Approach for Well Placement in Tight Gas Reservoirs
2013 IPTC
This paper introduces a rapid simulation-free procedure to determine infill well locations, which also takes reservoir uncertainty into consideration.
A hierarchical streamline-assisted history matching approach with global and local parameter updates
Journal of Petroleum Science and Engineering
A hierarchical streamline-assisted history matching approach is presented. Two step procedure with global and local calibrations. A genetic algorithm is used for global parameter calibration. A streamline sensitivity-based method is used for local parameter calibration. Geologic realism is preserved by ensuring minimum changes in local calibration.
A Simulation-Free Approach for Well Placement in Tight Gas Reservoirs
2013 IPTC
This paper introduces a rapid simulation-free procedure to determine infill well locations, which also takes reservoir uncertainty into consideration.
Novel Diffuse Source Pressure Transient Upscaling (SPE-173293-MS)
SPE
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Research Associate 2
University of Massachusetts Worcester - University Of Massachusetts System (ums)