HR job title
- Professor
- Contact Info
- 1 979 845 1488
- ORCiD
- 0000-0003-2240-8894
King, Michael Professor
Positions
- Professor, Petroleum Engineering, College of Engineering
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
- Associate, Berg-Hughes Center for Petroleum and Sedimentary Systems, College of Arts and Sciences
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.
- Overview
- Publications
- Teaching
- Works By Students
- Background
- Contact
- Other
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Overview
Publications
selected publications
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academic article
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Li, C., & King, M.
(2023).
Impact of heterogeneity upon the accuracy of the Eikonal solution using the Fast Marching Method. Computational Geosciences: modeling, simulation and data analysis.
27(3), 465-484.
-
Liu, C., Nunna, K., & King, M. J.
(2022).
Application of diffuse source basis functions for improved near well upscaling. 26(4), 823-846.
-
Zuo, L., Lim, J., Chen, R., Chen, H., Shamekhi, A., & King, M. J.
(2021).
Continuous streamline trajectories on complex grids. Computational Geosciences: modeling, simulation and data analysis.
25(5), 1539-1563.
-
Li, C., Wang, Z., & King, M. J.
(2021).
Transient drainage volume characterization and flow simulation in reservoir models using the fast marching method. 25(5), 1647-1666.
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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.
-
Wang, Z., Malone, A., & King, M. J.
(2020).
Quantitative production analysis and EUR prediction from unconventional reservoirs using a data-driven drainage volume formulation. 24(2), 853-870.
-
Wang, Z., Malone, A., & King, M. J.
(2020).
Quantitative production analysis and EUR prediction from unconventional reservoirs using a data-driven drainage volume formulation. Computational Geosciences: modeling, simulation and data analysis.
24(2), 853-870.
-
Deng, L., & King, M. J.
(2020).
Theoretical investigation of two-ends-open free spontaneous imbibition. 24(2), 933-949.
-
Deng, L., & King, M. J.
(2020).
Theoretical investigation of two-ends-open free spontaneous imbibition. Computational Geosciences: modeling, simulation and data analysis.
24(2), 933-949.
-
Chen, R., Xue, X. u., Park, J., Yao, C., Chen, H., Datta-Gupta, A., ... Dommisse, R.
(2020).
Coupled Fluid Flow and Geomechanical Modeling of Seismicity in the Azle Area (North Texas). SPE Reservoir Evaluation and Engineering.
23(3), 1006-1018.
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Nunna, K., & King, M. J.
(2020).
Dynamic Diffuse-Source Upscaling in High-Contrast Systems. SPE JOURNAL.
25(1), 347-368.
-
Li, C., & King, M. J.
(2020).
Integration of Pressure Transient Data into Reservoir Models Using the Fast Marching Method. SPE JOURNAL.
25(4), 1557-1577.
-
Chen, R., Xue, X. u., Park, J., Datta-Gupta, A., & King, M. J.
(2020).
New insights into the mechanisms of seismicity in the Azle area, North Texas. GEOPHYSICS.
85(1), EN1-EN15.
-
Xue, X. u., Yang, C., Onishi, T., King, M. J., & DattaGupta, A.
(2019).
Modeling Hydraulically Fractured Shale Wells Using the Fast-Marching Method With Local Grid Refinements and an Embedded Discrete Fracture Model. SPE JOURNAL.
24(06), 2590-2608.
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Khodabakhshi, M., Jafarpour, B., & King, M. J.
(2019).
Inference of Global Reservoir Connectivity from Static Pressure Data with Fast Coarse-Scale Simulation Models. 51(5), 625-648.
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Xue, X. u., Yang, C., Park, J., Sharma, V. K., Daffa-Gupta, A., & King, M. J.
(2019).
Reservoir and Fracture-Flow Characterization Using Novel Diagnostic Plots. SPE JOURNAL.
24(3), 1248-1269.
-
Deng, L., & King, M. J.
(2019).
Theoretical Investigation of the Transition From Spontaneous to Forced Imbibition. SPE JOURNAL.
24(1), 215-229.
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Xue, X. u., Yang, C., Onishi, T., King, M. J., & Datta-Gupta, A.
(2019).
Modeling Hydraulically Fractured Shale Wells Using the Fast-Marching Method With Local Grid Refinements and an Embedded Discrete Fracture Model. SPE JOURNAL.
24(6), 2590-2608.
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Watanabe, S., Han, J., Hetz, G., Datta-Gupta, A., King, M. J., & Vasco, D. W.
(2017).
Streamline-Based Time-Lapse-Seismic-Data Integration Incorporating Pressure and Saturation Effects. SPE JOURNAL.
22(4), 1261-1279.
-
Yang, C., Sharma, V. K., Datta-Gupta, A., & King, M. J.
(2017).
Novel approach for production transient analysis of shale reservoirs using the drainage volume derivative. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
159, 8-24.
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Fujita, Y., Datta-Gupta, A., & King, M. J.
(2016).
A Comprehensive Reservoir Simulator for Unconventional Reservoirs That Is Based on the Fast Marching Method and Diffusive Time of Flight. SPE JOURNAL.
21(6), 2276-2288.
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Zhang, Y., Bansal, N., Fujita, Y., Datta-Gupta, A., King, M. J., & Sankaran, S.
(2016).
From Streamlines to Fast Marching: Rapid Simulation and Performance Assessment of Shale-Gas Reservoirs by Use of Diffusive Time of Flight as a Spatial Coordinate. SPE JOURNAL.
21(5), 1883-1898.
-
Xie, J., Yang, C., Gupta, N., King, M. J., & Datta-Gupta, A.
(2015).
Depth of Investigation and Depletion in Unconventional Reservoirs With Fast-Marching Methods. SPE JOURNAL.
20(4), 831-841.
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Xie, J., Yang, C., Gupta, N., King, M. J., & Datta-Gupta, A.
(2015).
Integration of Shale-Gas-Production Data and Microseismic for Fracture and Reservoir Properties With the Fast Marching Method. SPE JOURNAL.
20(2), 347-359.
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Park, H., Datta-Gupta, A., & King, M. J.
(2015).
Handling conflicting multiple objectives using Pareto-based evolutionary algorithm during history matching of reservoir performance. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
125, 48-66.
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Zhang, Y., King, M. J., & Datta-Gupta, A.
(2012).
Robust streamline tracing using inter-cell fluxes in locally refined and unstructured grids. Water Resources Research.
48(6), 41-57.
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Zhang, Y., King, M. J., & Datta-Gupta, A.
(2012).
Robust streamline tracing using inter-cell fluxes in locally refined and unstructured grids. Water Resources Research.
48(6), 41-57.
-
King, M. J., Ballin, P., Bennis, C., Heath, D., Hiebert, A., McKenzie, W., Rainaud, J., & Schey, J.
(2012).
Reservoir Modeling: From RESCUE To RESQML. 15(2), 127-138.
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Datta-Gupta, A., Xie, J., Gupta, N., King, M. J., & Lee, W. J.
(2011).
Radius of Investigation and its Generalization to Unconventional Reservoirs. JPT, Journal of Petroleum Technology.
63(07), 52-55.
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Yin, J., Park, H., Datta-Gupta, A., King, M. J., & Choudhary, M. K.
(2011).
A hierarchical streamline-assisted history matching approach with global and local parameter updates. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING.
80(1), 116-130.
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Jimenez, E. A., Datta-Gupta, A., & King, M. J.
(2010).
Full-Field Streamline Tracing in Complex Faulted Systems With Nonneighbor Connections. SPE JOURNAL.
15(1), 7-17.
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King, M. J.
(2007).
Recent Advances in Upgridding. 62(2), 195-205.
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Jimenez, E., Sabir, K., Datta-Gupta, A., & King, M. J.
(2007).
Spatial Error and Convergence in Streamline Simulation. SPE Reservoir Evaluation and Engineering.
10(03), 221-232.
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Jimenez, E., Sabir, K., Datta-Gupta, A., & King, M. J.
(2007).
Spatial error and convergence in streamline simulation. SPE Reservoir Evaluation and Engineering.
10(3), 221-232.
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Cheng, H., Osako, I., Datta-Gupta, A., & King, M. J.
(2006).
A rigorous compressible streamline formulation for two- and three-phase black-oil simulation. SPE JOURNAL.
11(4), 407-417.
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King, A.
(2006).
Bortezomib-induced thrombocytopenia is transient in patients with multiple myeloma. Nature Reviews Clinical Oncology.
3(2), 64-64.
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King, M. J., Burn, K. S., Wang, P., Muralidharan, V., Alvarado, F., Ma, X., & Datta-Gupta, A.
(2006).
Optimal Coarsening of 3D Reservoir Models for Flow Simulation. SPE Reservoir Evaluation and Engineering.
9(04), 317-334.
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King, M. J., Burn, K. S., Wang, P., Muralidharan, V., Alvarado, F., Ma, X., & Datta-Gupta, A.
(2006).
Optimal coarsening of 3D reservoir models for flow simulation. SPE Reservoir Evaluation and Engineering.
9(4), 317-334.
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King, M. J., Osako, I., & Datta-Gupta, A.
(2005).
A predictor-corrector formulation for rigorous streamline simulation. International Journal for Numerical Methods in Fluids.
47(8-9), 739-758.
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Osako, I., Datta-Gupta, A., & King, M. J.
(2004).
Timestep selection during streamline simulation through transverse flux correction. SPE JOURNAL.
9(4), 450-464.
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King, M. J., & Mansfield, M.
(1999).
Flow Simulation of Geologic Models. SPE Reservoir Evaluation and Engineering.
2(04), 351-367.
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King, M. J., & Datta-Gupta, A.
(1998).
Streamline simulation: A current perspective. Petroleum Science and Technology.
22(1), 91-140.
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King, M. J., & Mansfield, M.
(1997).
Flow simulation of geologic models. Sigma, 331-346.
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DATTAGUPTA, A., LAKE, L. W., POPE, G. A., & KING, M. J.
(1995).
A TYPE-CURVE APPROACH TO ANALYZING 2-WELL TRACER TESTS. SPE Formation Evaluation.
10(1), 40-48.
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King, M. J., King, P. R., McGill, C. A., & Williams, J. K.
(1995).
Effective properties for flow calculations. Transport in Porous Media.
20(1-2), 169-196.
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King, M. J., Blunt, M. J., Mansfield, M., & Christie, M. A.
(1995).
Rapid evaluation of the impact of heterogeneity on miscible gas injection. Geological Society Special Publication.
84(1), 133-142.
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DATTAGUPTA, A., & KING, M. J.
(1995).
A SEMIANALYTIC APPROACH TO TRACER FLOW MODELING IN HETEROGENEOUS PERMEABLE MEDIA. Advances in Water Resources.
18(1), 9-24.
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Blunt, M., King, M. J., & Scher, H.
(1992).
Simulation and theory of two-phase flow in porous media. Physical Review A: Atomic, Molecular and Optical Physics.
46(12), 7680-7699.
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Gupta, A. D., Lake, L. W., Pope, G. A., Sepehrnoori, K., & King, M. J.
(1991).
High-resolution monotonic schemes for reservoir fluid flow simulation. Petroleum Science and Technology.
15(3), 289-317.
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King, M. J., & Scher, H.
(1990).
Geometric dispersion and unstable flow in porous media. Physical Review A: Atomic, Molecular and Optical Physics.
41(2), 874-884.
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King, M. J., & Scher, H.
(1987).
Probability approach to multiphase and multicomponent fluid flow in porous media. Physical review. A, General physics.
35(2), 929-932.
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King, M. J.
(1987).
Viscous fingering utilizing probabilistic simulation
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Li, C., & King, M.
(2023).
Impact of heterogeneity upon the accuracy of the Eikonal solution using the Fast Marching Method. Computational Geosciences: modeling, simulation and data analysis.
27(3), 465-484.
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book
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Datta-Gupta, A., & King, M. J.
(2007).
Streamline simulation theory and practice. Ed. 11.
Society of Petroleum Engineers.
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Datta-Gupta, A., & King, M. J.
(2007).
Streamline simulation theory and practice. Ed. 11.
Society of Petroleum Engineers.
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conference paper
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Nunna, K., Liu, C., & King, M. J.
(2018).
Application of diffuse source basis functions to multiscale simulation
-
Deng, L., & King, M. J.
(2018).
Theoretical Investigation of Water Blocking in Unconventional Reservoirs Due to Spontaneous Imbibition and Water Adsorption
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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
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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. 424-444.
-
Nunna, K., & King, M. J.
(2017).
Dynamic downscaling and upscaling in high contrast systems. 1677-1702.
-
Yang, C., Xue, X. u., King, M. J., & Datta-Gupta, A.
(2017).
Flow Simulation of Complex Fracture Systems With Unstructured Grids Using the Fast Marching Method
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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
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Datta-Gupta, A., Huang, J., King, M. J., & Olalotiti-Lawal, F.
(2017).
Modeling Well Interference and Optimal Well Spacingin Unconventional Reservoirs Using Fast Marching Method
-
Wang, Z., Li, C., & King, M.
(2017).
Validation and extension of asymptotic solutions of diffusivity equation and their applications to synthetic cases. 2097-2137.
-
King, M. J., Wang, Z., & Datta-Gupta, A.
(2016).
Asymptotic Solutions of the Diffusivity Equation and Their Applications
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Zhukovsky, I. D., Mendoza, R. C., King, M. J., & Lee, W. J.
(2016).
Uncertainty Quantification in the EUR of Eagle Ford Shale Wells Using Probabilistic Decline-Curve Analysis with a Novel Model
-
King, M. J., Wang, Z., & Datta-Gupta, A.
(2016).
Asymptotic solutions of the diffusivity equation and their applications
-
Zuo, L. H., Lim, J., Chen, R. Q., & King, M. J.
(2016).
Efficient calculation of flux conservative streamline trajectories on complex and unstructured grids
-
Deng, L., & King, M. J.
(2016).
Estimation of relative permeability from laboratory displacement experiments application of the analytic solution with capillary corrections
-
Li, C., & King, M.
(2016).
Integration of pressure transient data into reservoir models using the Fast Marching Method
-
Yang, C., Xue, X. u., Huang, J., Datta-Gupta, A., & King, M. J.
(2016).
Rapid Refracturing Candidate Selection in Shale Reservoirs Using Drainage Volume and Instantaneous Recovery Ratio
-
Xue, X. u., Yang, C., Sharma, V. K., Datta-Gupta, A., & King, M. J.
(2016).
Reservoir and Fracture Flow Characterization Using a Novel () Formulation
-
Yang, C., Sharma, V., Datta-Gupta, A., & King, M. J.
(2015).
A Novel Approach for Production Transient Analysis of Shale Gas/Oil Reservoirs
-
Fujita, Y., Datta-Gupta, A., & King, M. J.
(2015).
A Comprehensive Reservoir Simulator for Unconventional Reservoirs Based on the Fast Marching Method and Diffusive Time of Flight. 1361-1382.
-
Deng, L., & King, M. J.
(2015).
Capillary corrections to Buckley-Leverett flow. 6358-6376.
-
Khodabakhshi, M., Jafarpour, B., & King, M. J.
(2015).
Field applications of a multi-scale multi-physics history matching approach. 867-886.
-
Nunna, K., Zhou, P., & King, M. J.
(2015).
Novel diffuse source pressure transient upscaling. 1692-1713.
-
Legg, C. A., King, M. J., Deny, L., Rainaud, J. F., Hollingsworth, J., & Marcotte, D.
(2015).
Representing subsurface knowledge using RESQML. 30-60.
-
Zhang, Y., Bansal, N., Fujita, Y., Datta-Gupta, A., King, M. J., & Sankaran, S.
(2014).
From Streamlines to Fast Marching: Rapid Simulation and Performance Assessment of Shale Gas Reservoirs Using Diffusive Time of Flight as a Spatial Coordinate. 435-455.
-
Tanaka, S., Datta-Gupta, A., & King, M. J.
(2014).
Compositional Streamline Simulation of CO2 Injection Accounting for Gravity and Capillary Effects Using Orthogonal Projection. 512-534.
-
Tanaka, S., Datta-Gupta, A., & King, M. J.
(2014).
Compositional streamline simulation of CO2 injection accounting for gravity and capillary effects using orthogonal projection. 512-534.
-
Henri-Bally, R. C., Rainaud, J. F., Deny, L., Legg, C. A., King, M. J., Verney, P., & Schey, J.
(2013).
Delivering key WITSML measured and interpreted well information through RESQML V2 for reservoir characterization and flow simulation. 4782-4796.
-
Zhou, Y., & King, M. J.
(2013).
Impact of subsurface uncertainty on well placement in tight gas reservoirs: Application of a rapid simulation-free workflow. 4711-4733.
-
Zhou, Y., King, M. J., & Du, S.
(2013).
A simulation-free approach for well placement in tight gas reservoirs. 3554-3566.
-
Park, H., Datta-Gupta, A., & King, M. J.
(2013).
Handling Conflicting Multiple Objectives Using Pareto-Based Evolutionary Algorithm for History Matching of Reservoir Performance. 619-645.
-
King, M. J., Abacioglu, Y., Ballin, P. R., Sebastian, H. M., Du, S., & Zhou, Y.
(2013).
Multiscale grid design and upscaling for a full field tight gas reservoir model on a next generation simulator. 448-458.
-
Tanaka, S., Datta-Gupta, A., & King, M. J.
(2013).
A Novel Approach for Incorporation of Capillarity and Gravity Into Streamline Simulation Using Orthogonal Projection. 894-910.
-
Zhang, Y., Yang, C., King, M. J., & Datta-Gupta, A.
(2013).
Fast-Marching Methods for Complex Grids and Anisotropic Permeabilities: Application to Unconventional Reservoirs. 844-864.
-
Watanabe, S., Han, J., Datta-Gupta, A., & King, M. J.
(2013).
Streamline-Based Time Lapse Seismic Data Integration Incorporating Pressure and Saturation Effects. 3768-3796.
-
Morandini, F., King, M. J., Rainaud, J. F., Deny, L., Verney, P., Endres, D. M., & Schey, J.
(2013).
How RESQML version 2 can facilitate the update of a reservoir model. 855-873.
-
Aggarwal, A., Du, S., & King, M. J.
(2012).
Combined uncertainty and history matching study of a deepwater turbidite reservoir. 4460-4481.
-
Xie, J., Gupta, N., King, M. J., & Datta-Gupta, A.
(2012).
Depth of Investigation and Depletion Behavior in Unconventional Reservoirs Using Fast Marching Methods. 3550-3564.
-
Xie, J., Yang, C., Gupta, N., King, M. J., & Datta-Gupta, A.
(2012).
Integration of Shale Gas Production Data and Microseismic for Fracture and Reservoir Properties Using Fast Marching Method. 315-332.
-
Zhou, Y., & King, M. J.
(2011).
Improved upscaling for flow simulation of tight gas reservoir models. 4191-4210.
-
King, M. J., Ballin, P., Bennis, C., Heath, D., Hiebert, A., McKenzie, W., Rainaud, J. F., & Schey, J.
(2010).
Reservoir modeling: From RESCUE to RESQML. 4526-4542.
-
Yin, J., Park, H., Datta-Gupta, A., King, M. J., & Choudhary, M. K.
(2010).
A Hierarchical Streamline-Assisted History Matching Approach with Global and Local Parameter Updates. 516-530.
-
Du, S., Hosseini, S. A., Zhou, Y., & King, M. J.
(2010).
Effective local and extended local single-phase upscaling
-
Jimenez, E. A., Datta-Gupta, A., & King, M. J.
(2008).
Full field streamline tracing in complex faulted systems with non-neighbor connections. 796-808.
-
Jimenez, E., Sabir, K., Datta-Gupta, A., & King, M. J.
(2005).
Spatial Error and Convergence in Streamline Simulation. 111-125.
-
Cheng, H., Osako, I., Datta-Gupta, A., & King, M. J.
(2005).
A Rigorous Compressible Streamline Formulation for Two- and Three-Phase Black-Oil Simulation. 3463-3476.
-
King, M. J., Burn, K. S., Wang, P., Muralidharan, V., Alvarado, F., Ma, X., & Datta-Gupta, A.
(2005).
Optimal Coarsening of 3D Reservoir Models for Flow Simulation. 1415-1429.
-
Leung, K. H., & King, M. J.
(1999).
Effective use of effective permeability. Annual Offshore Technology Conference.
303-307.
-
King, M. J., MacDonald, D. G., Todd, S. P., & Leung, H.
(1998).
Application of novel upscaling approaches to the Magnus and Andrew reservoirs. 133-148.
-
King, M. J.
(1993).
Application and analysis of tensor permeability to crossbedded reservoirs. 745-746.
-
King, M. J., Blunt, M. J., Mansfield, M. M., & Christie, M. A.
(1993).
Rapid evaluation of the impact of heterogeneity on miscible gas injection. 495-504.
-
Gupta, A. D., Lake, L. W., Pope, G. A., & King, M. J.
(1992).
Type-curve approach to analyzing two-well tracer tests. 359-369.
-
King, M. J., & Dunayevsky, V. A.
(1989).
Why waterflood works: a linearized stability analysis
-
King, M. J.
(1987).
VISCOUS FINGERING UTILIZING PROBABILISTIC SIMULATION. 87-97.
-
King, M. J., & Scher, H.
(1985).
Probabilistic stability analysis of multiphase flow in porous media
-
Nunna, K., Liu, C., & King, M. J.
(2018).
Application of diffuse source basis functions to multiscale simulation
-
patent
-
King, M., Datta-gupta, A., & Zhang, Y.
(2017).
Determining performance data for hydrocarbon reservoirs using diffusive time of flight as the spatial coordinate
-
King, M., Datta-gupta, A., & Zhang, Y.
(2017).
Determining performance data for hydrocarbon reservoirs using diffusive time of flight as the spatial coordinate
Teaching
teaching activities
- ICPE602 Reservoir Characterization Instructor
- ITDE691 Research Instructor
- PETE324 Well Testing Instructor
- PETE404 Integ Reservoir Modeling Instructor
- PETE485 Directed Studies Instructor
- PETE491 Hnr-research Instructor
- PETE645 Upscaling Geol Models Instructor
- PETE684 Professional Internship Instructor
- PETE685 Directed Studies Instructor
- PETE691 Research Instructor
- PETE691 Research: In-ab Instructor
- PETE692 Professional Study Instructor
Works By Students
chaired theses and dissertations
-
Aggarwal, Akshay (2011-12). Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models.
-
Chapman, Ian (2012-08). Determination of the Controls on Permeability and Transport in Shale by Use of Percolation Models.
-
Du, Song (2012-12). Multiscale Reservoir Simulation: Layer Design, Full Field Pseudoization and Near Well Modeling.
-
Ebin, Joshua Prince (2018-08). Coupled Fluid Flow and Geomechanical Modeling of Induced Seismicity.
-
Gupta, Neha 1986- (2012-12). A Novel Approach for the Rapid Estimation of Drainage Volume, Pressure and Well Rates.
-
Huang, Jixiang (2017-05). Analysis of Hydraulic Fracture Propagation and Well Performance using Geomechanical Models and Fast Marching Method.
-
Iino, Atsushi (2018-11). Efficient History Matching and Optimization of Unconventional Reservoirs Using the Fast Marching Method.
-
Jung, Hye Young (2015-09). Application of History Matching Quality Index with Moving Linear Regression Analysis.
-
Li, Chen (2018-11). Application of the Fast Marching Method to Reservoir Characterization and Pressure Transient Analysis in Structured and Corner Point Grid Geometries.
-
Li, Hanyu (2017-05). Improved Modeling of Pseudo Pseudo-Steady State Flow Regime in Unconventional Reservoir.
-
Nunna, Krishna Chaitanya (2014-10). Diffuse Source Transmissibility Upscaling.
-
Pasumarti, Lakshmi (2014-05). Exploring an Unstructured Lattice Representation for Carbonate Reservoir Characterization.
-
Sengupta, Soumyadipta (2016-02). Determination of Permeability from Pore Network Models by Using a Novel Transient Simulation Methodology.
-
Sharma, Vishal Kumar (2016-04). New Approach for Production Analysis of Shale Gas/Oil Reservoirs.
-
Tanaka, Shusei (2014-08). Effective Reservoir Management Using Streamline-Based Reservoir Simulation, History Matching and Rate Allocation Optimization.
-
Taware, Satyajit Vijay (2012-08). Optimal Reservoir Management and Well Placement Under Geologic Uncertainty.
-
Wang, Zhenzhen (2018-08). Asymptotic Solutions to the Diffusivity Equation: Validation and Field Applications.
-
Zhang, Yanbin (2013-06). Dynamic Reservoir Characterization Using Complex Grids Based on Streamline and Fast Marching Methods.
-
Zhou, Peng (2015-11). Development of Diffuse Source Upscaling.
-
Zhou, Yijie (2013-07). Improved Upscaling & Well Placement Strategies for Tight Gas Reservoir Simulation and Management.
-
Zhukovsky, Isaac David (2017-05). Uncertainty in Eagle Ford Shale Wells Production Quantified using Probabilistic Analysis with a Novel Decline-Curve Model.
-
Zubarev, Maxim (2016-11). Simulation Approach Selection in Reservoir Management.
Background
education and training
- Ph.D. in Physics, Syracuse University - (Syracuse, New York, United States) 1980
- M.S. in Physics, Syracuse University - (Syracuse, New York, United States) 1977
- B.S. in Physics and Mathematics, Cooper Union - (New York, New York, United States) 1976
awards and honors
- RESQML SIG 25 Year Volunteer Recognition Award, conferred by Energistics Consortium - (Houston, Texas, United States), 2015
- Chair in Robust Reduced Complexity Modeling, conferred by Foundation CMG - (Calgary, Alberta, Canada), 2013
- Distinguished Member Award, conferred by Society of Petroleum Engineers - (Richardson, Texas, United States), 2013
- Reservoir Description and Dynamics Award, conferred by Society of Petroleum Engineers - (Richardson, Texas, United States), 2011
- Distinguished Lecturer, conferred by Society of Petroleum Engineers - (Richardson, Texas, United States), 2006
Contact
first name
- Michael
has last name
- King
mailing address
-
Texas A&M University
Petroleum Engineering
3116 TAMU
College Station, TX 77843-3116
USA
Other
- mike.king@tamu.edu