overview

My research group is active in the development of streamline technology and its applications to reservoir management and optimization, multi-scale data integration and history matching, upscaling/upgridding, and more recently, performance analysis and optimization of unconventional wells.

selected publications
Academic Articles52
  • Li, C., & King, M. (2023). Impact of heterogeneity upon the accuracy of the Eikonal solution using the Fast Marching Method. Computational Geosciences. 27(3), 465-484.
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  • Liu, C., Nunna, K., & King, M. J. (2022). Application of diffuse source basis functions for improved near well upscaling. 26(4), 823-846.
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  • Zuo, L., Lim, J., Chen, R., Chen, H., Shamekhi, A., & King, M. J. (2021). Continuous streamline trajectories on complex grids. Computational Geosciences. 25(5), 1539-1563.
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  • Nunna, K., Liu, C., & King, M. J. (2020). Application of diffuse source functions for improved flow upscaling. 24(2), 493-507.
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Books1
  • Datta-Gupta, A., & King, M. J. (2007). Streamline simulation theory and practice. Society of Petroleum Engineers.
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Conference Papers54
  • Deng, L., & King, M. J. (2018). Theoretical Investigation of Water Blocking in Unconventional Reservoirs Due to Spontaneous Imbibition and Water Adsorption. Proceedings of the 6th Unconventional Resources Technology Conference.
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  • Hetz, G., Kim, H., Datta-Gupta, A., King, M. J., Przybysz-Jarnut, J. K., Lopez, J. L., & Vasco, D. (2017). History Matching of Frequent Seismic Surveys Using Seismic Onset Times at the Peace River Field, Canada. Day 3 Wed, October 11, 2017.
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  • Yang, C., King, M. J., & Datta-Gupta, A. (2017). Rapid Simulation of Naturally Fractured Unconventional Reservoirs with Unstructured Grids Using the Fast Marching Method. Day 1 Mon, February 20, 2017. 424-444.
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  • Nunna, K., & King, M. J. (2017). Dynamic downscaling and upscaling in high contrast systems. 1677-1702.
patents
Patents1
chaired theses and dissertations
Email
mike.king@tamu.edu
First Name
Michael
Last Name
King
mailing address
Texas A&M University; Petroleum Engineering; 3116 TAMU
College Station, TX 77843-3116
USA