LiDAR

Refereed Articles & Chapters

(*denotes student coauthor; **denotes post-doc coauthor)

In Prep

Tellez, J., *M. H. Williams, M. J. Pranter, in prep., Seismic-constrained lithology prediction and reservoir-quality modeling using pre-stack inversion and Bayesian classification, Mississippian Meramec strata, eastern Anadarko Basin, Oklahoma.

*Steinmann, L. M., F. Suriamin, *A. B. Caf, M. J. Pranter, and J. D. Pigott, in prep., Stratigraphic variability of mineralogy, rock types, and total porosity of the Wolfcamp Formation using multi-mineral petrophysical analysis, Northwest Shelf, Delaware Basin.

*Caf, A. B., *D. Lubo-Robles, M. J. Pranter, H. Bedle, and Z. A. Reza, in prep., Injectivity and storage potential assessment of the Arbuckle Group for CO2 sequestration using supervised learning, Wellington Field, Kansas.

*Henglai, P., and M. J. Pranter, in prep., Sequence-stratigraphic and facies controls on reservoir quality and productivity of Early to Middle Miocene fluvial and tide-dominated deltaic deposits, Formation 2, Gulf of Thailand.

*Duarte, D., R. Pires de Lima, J. Tellez, and M. J. Pranter, in prep., Spatial variability of petrofacies using supervised machine learning and geostatistical modeling: Sycamore Formation, Sho-Vel-Tum Field, Oklahoma, USA.

In Review

*Duarte, D., R. Pires de Lima, D. Devegowda, M. J. Pranter, in review, Semi-supervised workflow to generate petrofacies logs from thin sections and XRF data, Interpretation.


Published

MPG
*Lubo-Robles, D., D. Devegowda, V. Jayaram, H. Bedle, K. J. Marfurt, and M. J. Pranter, 2022, Quantifying the sensitivity of seismic facies classification to seismic attribute selection: An explainable machine-learning study, Interpretation, vol. 10, no. 3 (August 2022), 29 p., http://dx.doi.org/10.1190/INT-2021-0173.1

MPG
*Duarte, D., M. Benmadi, R. D. Elmore, M. J. Pranter, and R. Slatt, 2021, Diagenetic controls on reservoir quality of a mixed carbonate-siliciclastic system: Sycamore Formation, Sho-Vel-Tum Field, Oklahoma, USA. Marine and Petroleum Geology, vol. 134 (December 2021), 13 p., https://doi.org/10.1016/j.marpetgeo.2021.105375

MPG
*Drummond, K., M. J. Pranter, and G. M. Grammer, 2021, Regional stratigraphy and proximal-to-distal variation of lithology and porosity within a mixed carbonate-siliciclastic system, Mississippian strata of northern and central Oklahoma. Interpretation, vol. 9, no. 4 (November 2021); p. T1111–T1131, https://doi.org/10.1190/INT-2020-0170.1

MPG
*Hardisty, L., M. J. Pranter, D. Devegowda, K. J. Marfurt, C. H. Sondergeld, C. S. Rai, I. Gupta, H. Han, S. Dang, C. McLain, R. Larese, 2021, Stratigraphic variability of Mississippian Meramec chemofacies and petrophysical properties using machine learning and geostatistical modeling, STACK trend, Anadarko Basin, Oklahoma. Interpretation, vol. 9, no. 3 (August 2021); p. T987–T1007, https://doi.org/10.1190/INT-2020-0169.1

MPG
*Suriamin, F., and M. J. Pranter, 2021, Lithofacies, depositional, and diagenetic controls on the reservoir quality of the Mississippian mixed siliciclastic-carbonate system, eastern Anadarko Basin, Oklahoma, USA. Interpretation, vol. 9, no. 3 (July 2021); p. T881–T910, https://doi.org/10.1190/INT-2020-0165.1

MPG
*Tellez, J., M. J. Pranter, C. H. Sondergeld, C. S. Rai, J. Fu, H. Han, S. Dang, and C. McLain, 2021, Mechanical stratigraphy of Mississippian strata using machine learning and seismic-based reservoir characterization and modeling, Anadarko Basin, Oklahoma. Interpretation, vol. 9, no. 2 (April 2021); p. SE53–SE71, https://doi.org/10.1190/INT-2020-0167.1

MPG
*Miller, M., M. J. Pranter, D. Devegowda, I. Gupta, K. J. Marfurt, C. H. Sondergeld, C. S. Rai, C. McLain, R. Larese, and J. Packwood, 2021, Mississippian Meramec lithologies and petrophysical property variability, stack trend, Anadarko Basin, Oklahoma. Interpretation, vol. 9, no. 2 (April 2021); p. SE1–SE21, https://doi.org/10.1190/INT-2020-0161.1

MPG
*Lubo-Robles, D., T. Ha, S. Laksmivarahan, K. J. Marfurt, and M. J. Pranter, 2021, Exhaustive Probabilistic Neural Network for attribute selection and supervised seismic facies classification, Interpretation, vol. 9, no. 2 (April 2021); p. T421–T441, https://doi.org/10.1190/INT-2020-0102.1

MPG
*Wang, Y., S. Kabir, M. J. Pranter, and Z. Reza, 2020, Immersive diagnostics of reservoirs under WAG injection, Part II – Effect of depositional settings and dynamic spatial correlations. Journal of Petroleum Science and Engineering, vol. 195, no. 26 (December 2020), https://doi.org/10.1016/j.petrol.2020.107858

Interpretation
*Tellez, J. J., M. J. Pranter, and R. D. Cole, 2020, Fluvial architecture and sequence stratigraphy of the Burro Canyon Formation, southwestern Piceance Basin, Colorado, Interpretation, vol. 8, no. 4 (November 2020); p. T1037–T1055, https://doi.org/10.1190/INT-2019-0215.1

Interpretation
*Machado, G. L. *G. J. Hickman, *M. P, Gogri, K. J. Marfurt, M. J. Pranter, and Z. A. Reza, 2019, Characterization of Arbuckle-basement waste-water disposal system, Payne County, northern Oklahoma, Interpretation, vol. 7, no. 4 (October 2019); p. SL19–SL36, http://dx.doi.org/10.1190/INT-2019-0025.1

JPSE
*Phan, T. N., *Y. M. Zapata, C. S. Kabir, J. D. Pigott, M. J. Pranter, and Z. A. Reza, 2019, Probing hydraulically fractured wells in unconventional shale reservoirs under cyclic CO2 injection: Variation of thermophysical properties, Journal of Petroleum Science and Engineering, vol. 181 (October 2019), p. 1-14, https://doi.org/10.1016/j.petrol.2019.106206

Interpretation
*Pires de Lima, R., *F. Suriamin, K. J. Marfurt, and M. J. Pranter, 2019, Convolutional neural networks as aid in core lithofacies classification, Interpretation, vol. 7, no. 3, (May 2019) p. SF27–SF40, https://doi.org/10.1190/INT-2018-0245.1

AAPG Memoir
*Turnini, A. M., M. J. Pranter, K. J. Marfurt, 2019, Mississippian limestone and chert reservoirs, Tonkawa field, north-central Oklahoma, in G. M. Grammer, J. M. Gregg, J. O. Puckette, P. Jaiswal, S. J. Mazzullo, M. J. Pranter, and R. H. Goldstein, eds., Mississippian reservoirs of the midcontinent: AAPG Memoir 122 (https://doi.org/10.1306/AAPG122) (January 2019), p. 489–511, https://doi.org/10.1306/13632160M1161925

AAPG Memoir
*Lindzey, K. M., M. J. Pranter, and K. J. Marfurt, 2019, Lithological and petrophysical controls on production of the Mississippian limestone, northeastern Woods County, Oklahoma, in G. M. Grammer, J. M. Gregg, J. O. Puckette, P. Jaiswal, S. J. Mazzullo, M. J. Pranter, and R. H. Goldstein, eds., Mississippian reservoirs of the midcontinent: AAPG Memoir 122 (https://doi.org/10.1306/AAPG122) (January 2019), p. 541–560, https://doi.org/10.1306/13632163M1161925

AAPG Memoir
*Qi, X., *J. Snyder, *T. Zhao, K. J. Marfurt, and M. J. Pranter, 2019, Correlation of seismic attributes and geomechanical properties to the rate of penetration in the Mississippian limestone, Oklahoma, in G. M. Grammer, J. M. Gregg, J. O. Puckette, P. Jaiswal, S. J. Mazzullo, M. J. Pranter, and R. H. Goldstein, eds., Mississippian reservoirs of the midcontinent: AAPG Memoir 122 (https://doi.org/10.1306/AAPG122) (January 2019), p. 527–539, https://doi.org/10.1306/13632162M1163795

AAPG Memoir
Shelley, S., G. M. Grammer, and M. J. Pranter, 2019, Outcrop-based reservoir characterization and modeling of an Upper Mississippian mixed carbonate–siliciclastic ramp, northeastern Oklahoma, in G. M. Grammer, J. M. Gregg, J. O. Puckette, P. Jaiswal, S. J. Mazzullo, M. J. Pranter, and R. H. Goldstein, eds., Mississippian reservoirs of the midcontinent: AAPG Memoir 122 (https://doi.org/10.1306/AAPG122) (January 2019), p. 207–225, https://doi.org/10.1306/136321482158M1163788

Interpretation
*Clark, S. A., M. J. Pranter, Z. A. Reza, and R. D. Cole, 2018, Fluvial architecture of the Burro Canyon Formation using unmanned aerial vehicle-based photogrammetry and outcrop-based modeling: Implications for reservoir performance, Escalante Canyon, southwestern Piceance Basin, Colorado. Interpretation, vol. 6, no. 4 (November 2018), p. T1117-1139, https://doi.org/10.1190/INT-2018-0091.1

Interpretation
*Wethington, N., and M. J. Pranter, 2018, Stratigraphic architecture of the Mississippian limestone through integrated electrofacies classification, Hardtner field area, Kansas and Oklahoma, Interpretation, vol. 6, no. 4 (November 2018), p. T1095-T1115, https://doi.org/10.1190/INT-2018-0042.1

Interpretation
*Suriamin, F., and M. J. Pranter, 2018, Stratigraphic and lithofacies control on pore characteristics of Mississippian limestone and chert reservoirs of north-central Oklahoma, Interpretation, vol. 6, no. 4 (November 2018), p. T1001-T1022, https://doi.org/10.1190/INT-2017-0204.1

SEPM
*Lewis, K. D., M. J. Pranter, Z. A. Reza, and R. D. Cole, 2018, Fluvial architecture of the Burro Canyon Formation using UAV-based photogrammetry and outcrop-based modeling: implications for reservoir performance, Rattlesnake Canyon, southwestern Piceance Basin, Colorado, The Sedimentary Record, vol. 16, no. 3, p. 4-10 (September 2018), https://doi.org/10.2110/sedred.2018.3

SPE
*Gogri, M. P., J. M. Rohleder, C. S. Kabir, M. J. Pranter, and Z. A. Reza, 2018, Prognosis for safe water-disposal-well operations and practices that are based on reservoir flow modeling and real-time performance analysis, SPE Reservoir Evaluation & Engineering, vol. 21, no. 3 (April 2018), p. 576-592, https://doi.org/10.2118/187083-PA

AAPG Bulletin
*Allen, D. B., and M. J. Pranter, 2016, Geologically constrained electrofacies classification of fluvial deposits: an example from the Cretaceous Mesaverde Group, Uinta and Piceance basins, AAPG Bulletin, v. 100, no. 12 (December 2016), p. 1775-1801, https://doi.org/10.1306/05131614229

AAPG Bulletin
*El Attar, A., and M. J. Pranter, 2016, Regional stratigraphy, elemental chemostratigraphy, and organic richness of the Niobrara Member of the Mancos Shale, Piceance Basin, Colorado, AAPG Bulletin, v. 100, no. 3 (March 2016), p. 345–377, https://doi.org/10.1306/12071514127

AAPG Bulletin
*Keeton, G. I., M. J. Pranter, R. D. Cole, and E. R. (Gus) Gustason, 2015, Stratigraphic architecture of fluvial deposits from borehole images, spectral-gamma-ray response, and outcrop analogs, Piceance Basin, Colorado, AAPG Bulletin, v. 99, no. 10 (October 2015), p. 1929-1956, https://doi.org/10.1306/05071514025

GSL Special Publication 387
Pranter, M. J., *A. C. Hewlett, R. D. Cole, H. Wang, and J. R. Gilman, 2014, Fluvial architecture and connectivity of the Williams Fork Formation: use of outcrop analogues for stratigraphic characterisation and reservoir modelling, in A. W. Martinius, J. A. Howell, and T. R. Good, eds., Sediment-body geometry and heterogeneity: analogue studies for modelling the subsurface, The Geological Society of London, Special Publication (https://doi.org/10.1144/SP387.0), vol. 387.0 (January 2014), p. 57-83, https://doi.org/10.1144/SP387.1

Petroleum Geoscience 2013
*Baytok, S., and M. J. Pranter, 2013, Fault and fracture distribution within a tight-gas sandstone reservoir: Mesaverde Group, Mamm Creek Field, Piceance Basin, Colorado, U.S.A., Petroleum Geoscience, vol. 19, no. 3 (August 2013), p. 203-222, https://doi.org/10.1144/petgeo2011-093

AAPG Bulletin
Pranter, M J., and *N. K. Sommer, 2011, Static connectivity of fluvial sandstones in a lower coastal-plain setting: An example from the Upper Cretaceous lower Williams Fork Formation, Piceance Basin, Colorado, AAPG Bulletin, vol. 95, no. 6 (June 2011), p. 899-923, https://doi.org/10.1306/12091010008

AAPG Bulletin
Pranter, M. J., R. D. Cole, *H. Panjaitan, *N. K. Sommer, 2009, Sandstone-body dimensions in a lower coastal-plain depositional setting: lower Williams Fork Formation, Coal Canyon, Piceance Basin, Colorado, AAPG Bulletin, vol. 93, no. 10 (October 2009), p. 1379-1401, https://doi.org/10.1306/06240908173

JGE
Pranter, M. J., *M. F. Vargas, and T. L. Davis, 2008, Characterization and 3-D reservoir modeling of fluvial sandstones of the Williams Fork Formation, Rulison Field, Piceance Basin, Colorado, USA, Journal of Geophysics and Engineering, vol. 5, no. 2 (June 2008), p. 158-172, https://doi.org/10.1088/1742-2132/5/2/003

AAPG Bulletin
Pranter, M. J., *A. I. Ellison, R. D. Cole, and P. E. Patterson, 2007, Modeling and analysis of intermediate-scale reservoir heterogeneity based on a fluvial point-bar outcrop analog, Williams Fork Formation, Piceance Basin, Colorado, AAPG Bulletin, vol. 91, no. 7 (July 2007), p. 1025-1051, https://doi.org/10.1306/02010706102

Computers & Geosciences
**Reza, Z. A., M. J. Pranter, and P. Weimer, 2006, ModDRE: A program to model deepwater reservoir elements using geomorphic and stratigraphic constraints: Computers & Geosciences, vol. 32, no. 8 (October 2006), p. 1205-1220, https://doi.org/10.1016/j.cageo.2005.11.004

Geology
Budd, D. A., M. J. Pranter, and **Z. A. Reza, 2006, Lateral periodic variations in the petrophysical and geochemical properties of dolomite: Geology, vol. 34, no. 9 (May 2006), p. 373-376, https://doi.org/10.1130/G22132.1

Petroleum Geoscience
Pranter, M. J., **Z. A. Reza, and D. A. Budd, 2006, Reservoir-scale characterization and multiphase fluid-flow modeling of lateral petrophysical heterogeneity within dolomite facies of the Madison Formation, Sheep Canyon and Lysite Mountain, Wyoming, USA, Petroleum Geoscience, v. 12, no. 1 (February 2006), p. 29-40, https://doi.org/10.1144/1354-079305-660

AAPG
Pranter, M. J., 2006, Deepwater reservoir modeling, in Weimer, P. and Slatt, R.M., eds., Introduction to the Petroleum Geology of Deepwater Settings: AAPG Studies in Geology No. 57 (https://doi.org/10.1306/St571314) (January 2006), p. 625-682, https://doi.org/10.1306/St571314C14

AAPG Bulletin
Pranter, M. J., *C. B. Hirstius, and D. A. Budd, 2005, Scales of lateral petrophysical heterogeneity within dolomite lithofacies as determined from outcrop analogs: Implications for 3-D reservoir modeling: AAPG Bulletin, vol. 89, no. 5 (May 2005), p. 645-662, https://doi.org/10.1306/11300404049

AAPG Memoir
Pranter, M. J., N. F. Hurley, and T. L. Davis, 2004, Sequence-stratigraphic, petrophysical, and multicomponent seismic analysis of a shelf-margin reservoir: San Andres Formation (Permian), Vacuum field, New Mexico, United States: in G. P. Eberli, J. L. Masaferro, and J. F. Sarg, eds., Seismic Imaging of Carbonate Reservoirs and Systems: AAPG Memoir 81 (January 2004), p. 59-89, https://doi.org/10.1306/M81928

AAPG Bulletin
Pranter, M. J., N. F. Hurley, T. L. Davis, M. A. Raines, and S. C. Wehner, 2004, Dual-lateral horizontal wells successfully target bypassed pay in the San Andres Formation, Vacuum Field, New Mexico, AAPG Bulletin, vol. 88, no. 1 (January 2004), p. 99-113, https://doi.org/10.1306/09050302017

Petroleum Geoscience
Pranter, M. J., N. F. Hurley, and T. L. Davis, 2004, Anhydrite distribution within a shelf-margin carbonate reservoir: San Andres Formation, Vacuum Field, New Mexico, USA, Petroleum Geoscience, vol. 10, no. 1 (January 2004), p. 43-52, https://doi.org/10.1144/1354-079302-547



Regional Articles / Proceedings

SPE
*Lubo-Robles, D., D. Devegowda, V. Jayaram, H. Bedle, K. J. Marfurt, and M. J. Pranter, 2020, Machine learning model interpretability using SHAP values: Application to a seismic facies classification task, SEG Annual Meeting (October 2020), p. 1460-1464, http://dx.doi.org/10.1190/segam2020-3428275.1, and https://onepetro.org/SEGAM/proceedings/SEG20/2-SEG20/D021S008R006/462760?searchresult=1

SPE
*Suriamin, F., and M. J. Pranter, 2020, Proximal to distal variability of Mississippian lithofacies, diagenetic processes, and reservoir quality within a mixed siliciclastic-carbonate system, northern and central Oklahoma, USA, SPE/AAPG/SEG Unconventional Resources Technology Conference (URTEC), Austin, TX (July 2020), 16 p., https://doi.org/10.15530/urtec-2020-2562

Shale Shaker
*Miller, J. C., M. J. Pranter, and A. B. Cullen, 2019, Regional stratigraphy and organic richness of the Mississippian Meramec and associated strata, Anadarko Basin, central Oklahoma, The Shale Shaker, vol. 70, no. 2 (March/April 2019), p. 50-79, https://archives.datapages.com/data/ocgs/data/070/070002/50_ocgs700050.htm

SPE
*Tellez, J. J., M. J. Pranter, and R. Cole, 2018, Application of UAV-based photogrammetry for outcrop characterization of fluvial deposits of the Burro Canyon Formation, Piceance Basin, Colorado, The Outcrop, vol. 67, no. 3 (March 2018), https://rmag1.app.box.com/s/4gk7hg4f27nw0fno91znne30b2lbd048

Shale Shaker
*Shelley, S., G. M. Grammer, and M. J. Pranter, 2017, Reservoir characterization and modeling of a subsurface Meramec analog from a quarry in northeastern Oklahoma, The Shale Shaker, vol. 68, no. 5 (September/October 2017), p. 224-243, https://archives.datapages.com/data/ocgs/data/068/068005/224_ocgs680224.htm

SPE
*Gogri, M., *J. Rohleder*, *S. Kabir, M. Pranter, and Z. Reza, 2017, Prognosis for safe water-disposal-well operations and practices based on reservoir flow modeling, SPE Annual Technical Conference and Exhibition, San Antonio, TX (October 2017), 16 p., https://doi.org/10.2118/187083-MS

SPE
*Cronk, B. R., *M. P. Gogri, *J. E. Ortiz, *S. Kalra, A. Cullen, M. J. Pranter, and Z. Reza, 2017, A unified and integrated approach for reservoir and fluid characterization using minimal production and well data for the Mississippian Meramec interval within the STACK play of Oklahoma, SPE Liquids-Rich Basins Conference-North America, Midland, Texas (September 2017), https://doi-org.ezproxy.lib.ou.edu/10.2118/187497-MS

SPE
*Cook, S., A. Abdulmohsen, K. J. Marfurt, and M. J. Pranter, 2016, Calibrating seismic fracture prediction using borehole image logs, application to the Mississippian Limestone, SEG International Exposition and Annual Meeting (October 2016), p. 4023-4027, https://doi.org/10.1190/segam2016-13970405.1, and https://onepetro.org/SEGAM/proceedings/SEG16/All-SEG16/SEG-2016-13970405/101235?searchresult=1

SPE
*Qi, X., J. Snyder, K. J. Marfurt, and M. J. Pranter, 2015, Linking for rate of penetration to seismic attributes and mechanical properties in the Mississippi Lime, OK, SEG Annual Meeting (October 2015), 6 p., https://doi.org/10.1190/segam2015-5930003.1, and https://onepetro.org/SEGAM/proceedings/SEG15/All-SEG15/SEG-2015-5930003/65665?searchresult=1

SPE
*Machado, G. P., K. J. Marfurt, O. Davogustto, and M. J. Pranter, 2013, Seismic imaging of spur and groove structures in the San Andres Formation, Midland Basin, Texas, SEG Annual Meeting (September 2013), p. 1545-1549, https://doi.org/10.1190/segam2013-1431.1, and https://onepetro.org/SEGAM/proceedings/SEG13/All-SEG13/SEG-2013-1431/99670?searchresult=1

SPE
Pranter, M. J., **Z. A. Reza, and P. Weimer, 2005, Deepwater reservoir modeling using sequence-stratigraphic and geomorphic constraints: Society of Petroleum Engineers, Annual Technical Conference (October 2005), SPE 95952, 11 p., https://doi-org.ezproxy.lib.ou.edu/10.2118/95952-MS

SPE
Pranter, M. J., R. Cabrera-Garzón, J. J. Blaylock, T. L. Davis, and N.F. Hurley, 2000, Use of multicomponent seismic for the static reservoir characterization of the San Andres Formation at Vacuum Field, New Mexico, SEG Annual Meeting (August 2000), 4 p., https://doi.org/10.1190/1.1815704, and https://onepetro.org/SEGAM/proceedings/SEG00/All-SEG00/SEG-2000-1548/87954?searchresult=1

SPE
Bard, K. C. and M. J. Pranter, 1999, Tracking miscible processes in the subsurface utilizing time-lapse shear-wave seismic data: Society of Petroleum Engineers Annual Technical Conference, Houston, Texas (October 1999), SPE 56689, 14 p., https://doi-org.ezproxy.lib.ou.edu/10.2118/56689-MS

WTGS
Pranter, M. J., 1994, Patterson Lake field, Glasscock County, Texas: in Oil and gas fields in West Texas, Volume VI, West Texas Geological Society, p. 209-212.

AAPG SWS Transactions
Pranter, M. J., and R. C. Grayson, Jr., 1990, "Lower Strawn" submarine fan complex and associated depositional systems, in C. M. Gibbs, C. W. Reynolds, W. Tucker, and J. Ritchie, eds., Transactions of the 1990 AAPG Southwest Section Convention, p. 103-120, Click here for Article PDF.