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Matthew Pranter

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Matthew J. Pranter

Director, School of Geosciences and Eberly Family Chair

Professor of Geosciences

Affiliate Faculty, Mewbourne School of Petroleum and Geological Engineering


I am interested in siliciclastic and carbonate rocks: their origin, distribution, and characteristics. My research crosses the boundary between "fundamental" and "applied" research in sedimentary and reservoir geology. 

My research focuses on questions to address how the characteristics of sedimentary rocks (and processes that form them) at different scales impact heterogeneity in conventional and unconventional reservoirs. This multidisciplinary research involves the "field scale" analyses of depositional systems, stratigraphic architecture, and sedimentology as applied to petroleum reservoir geology and geophysics. To explore these questions, my students and I analyze and integrate various types of data (e.g., outcrop, subsurface) and use a range of "tools" (e.g., 3-D reservoir modeling) to evaluate the stratigraphic and sedimentologic controls on reservoir quality - and therefore, reservoir productivity.


  • Ph.D., Geology, Colorado School of Mines
  • M.S., Geology, Baylor University
  • B.S. (High Honors), Geological / Petroleum Engineering, Colorado School of Mines
  • B.S., Geology, Oklahoma State University (minor in Petroleum Engineering)

  • Reservoir Characterization and Modeling
  • Sedimentary Geology
  • Petroleum and Energy Geosciences

  • Petroleum Geology
  • Subsurface Methods
  • Reservoir Characterization
  • Reservoir Geology Seminar
  • Geology of National Parks
  • Earth, Energy, Environment

  • Duarte, D., R. Pires de Lima, D. Devegowda, M. J. Pranter, 2026, Semi-supervised workflow to generate petrofacies logs from thin sections and XRF data, Interpretation, https://doi.org/10.1190/int-2023-0135
  • Turnini, A. M., and M. J. Pranter, 2025, Statewide assessment of CO2 storage resources for the lower Paleozoic strata, Oklahoma: Simpson Group, Viola Limestone and Hunton Group, AAPG Bulletin, v. 109, no. 10 (October 2025), pp. 1289–1317.  https://doi.org/10.1306/07252525051
  • Turnini, A. M., and M. J. Pranter, 2025, Statewide assessment of CO2 storage resources for the lower Paleozoic strata, Oklahoma: Timbered Hills and Arbuckle Groups, AAPG Bulletin, v. 109, no. 10 (October 2025), pp. 1259–1287.  https://doi.org/10.1306/07252524116
  • Caf, A. B., M. J. Pranter, Z. A. Reza, D. Lubo-Robles, H. Bedle, K. M. Marfurt, 2025, Seismic-constrained reservoir modeling and simulation for CO2 sequestration potential assessment of the Arbuckle Group: Wellington Field, Kansas, AAPG Bulletin, v. 109, no. 5 (May 2025), pp. 659–680.  https://doi.org/10.1306/04292524119
  • Ortiz Sanguino, L., H. Bedle, M. J. Pranter, S. Verma, 2025, Revealing Channelized Features Through Multi-Scale Workflows in A Mixed Carbonate Siliciclastic Setting, Grayburg and San Andres Formations, Midland Basin, TX, Interpretation, Vol. 13, No. 2 (May 2025); p. T405–T425.  https://doi.org/10.1190/INT-2024-0115.1
  • Caf, A. B., D. Lubo-Robles, K. J. Marfurt, H. Bedle, M. J. Pranter, 2024, Characterization of seismic-scale petrofacies variability in the Arbuckle Group using supervised machine learning: Wellington Field, Kansas, Interpretation, vol. 12, no. 3 (July 2024), T341-T354, https://doi-org.ezproxy.lib.ou.edu/10.1190/INT-2023-0093.1
  • Duarte, D., R. Pires de Lima, J. Tellez, and M. J. Pranter, 2023, Spatial variability of petrofacies using supervised machine learning and geostatistical modeling: Sycamore Formation, Sho-Vel-Tum Field, Oklahoma, USA, Interpretation, vol. 11. no. 2, (May 2023), p. T289-302, https://doi.org/10.1190/INT-2022-0064.1.