FRANK R. MALE

Austin, Texas, USA 785-***-**** adc1ua@r.postjobfree.com

EDUCATION

University of Texas at Austin, Austin, TX 2010{2015 Ph.D., Physics

Title: \Application of a one dimensional nonlinear model to

ow in hydrofractured shale gas wells using scaling solutions"

Supervisors: Michael Marder, Physics; Tad Patzek, Petroleum Engineering Kansas State University, Manhattan, KS 2005{2009

B.S., Physics; B.A., Political Science

RELEVANT EXPERIENCE

Reservoir Engineering Researcher 2011{present

University of Texas Austin, TX

Investigated physics-based and data-driven models for predicting permeability in sandstones (Garn, N Sea)

Applied capacitance-resistance model to nd connectivities between injector and producer wells for water

ood (Seminole, W-TX)

Performed core-based petrophysical and geostatistical analysis for enhanced oil recovery in residual oil zones (Seminole, W-TX)

Developed source code for a physics-based

uid

ow and production decline analysis software

Predicted production for over 34,000 gas wells and 30,000 oil wells, covering each major US uncon- ventional play (Bakken, Barnett, Eagle Ford, Fayetteville, Haynesville, Marcellus, Niobrara, Permian Basin)

Performed machine learning to estimate e ects of geological and completion parameters on productivity and decline pro les for shale oil wells

Graduate Teaching Assistant 2010{2011, 2013

University of Texas at Austin Austin, TX

Taught lab course in waves and optics for physics students

Taught lab course in mechanics for pre-medical students

Received very high teaching evaluation scores (>4 on 5 pt scale) Co-chairman, Physics Education Forum 2013{2015

University of Texas at Austin Austin, TX

Recruited speakers on teaching pedagogy and peer instruction

Facilitated student-lead discussions

Physics Fluid Mechanics Projects 2006{2010

Kansas State University Manhattan, KS

Max Planck Institut fu r Dynamik und Selbstorganisation G ottingen, Germany

Built MATLAB Boundary Element Method code to model e ect of hydrophobicity and groove angle on liquid lament instabilities for micron-scale triangular grooves on a project funded by BP because of applications to enhanced oil recovery

Performed liquid slip length measurement with colloidal probes. Found that slip length varies by hydrocarbon chain length, which can impact

uid properties in tight rock for

uids of di erent maturity PROFESSIONAL APPOINTMENTS

Postdoctoral Fellow, Hildebrand Department of Petroleum Engineering, University of Texas at Austin, 2018{present.

Postdoctoral Fellow, Bureau of Economic Geology, University of Texas at Austin, 2015-2018. Graduate Research Assistant, Department of Physics, University of Texas at Austin, 2011{2015. Graduate Teaching Assistant, Department of Physics, University of Texas at Austin, 2010{2011 and 2013.

Research Intern, Max Planck Institute for Dynamics and Self-Organisation, Goettingen, Germany, 2006{2010.

Undergraduate Research Assistant, Department of Physics, Kansas State University, 2006{2010. SERVICE EXPERIENCE AND LEADERSHIP

Peer reviewer 2015{present

Reviewed more than ten articles for Nature Energy, SPE Reservoir Evaluation & Engineering, Carbon- ates and Evaporites, Applied Sciences, and Energies Technical session chair 2018{2019

Unconventional Resources Technical Conference and Exhibition (URTeC)

Decline curve analysis and reservoir models

Student Services Budget Committee Member 2014{2015 University of Texas Austin, TX

Evaluated and granted funding requests from all campus entities that serve students in non-academic settings. Committee manages $50+ million budget

Communications Director, GSA5K Marketing Director 2012{2013 UT Graduate Student Assembly Austin, TX

Built new website, handled in-house communications and media/public relations

Doubled student attendance at GSA5K fundraising run/walk, making it the rst such event to break even nancially

SKILLS AND QUALIFICATIONS

Reservoir Engineering Empirical and physics-based decline curve analysis, water

ood analysis, geostatistics, core-based petrophysics, Lucia rock typing Programming Python (13 years), R, Bash, Matlab, C, Fortran Data analytics Generalized linear models (Elastic net), Gradient-boosting, Random forest PEER REVIEWED PUBLICATIONS

Full Google Scholar pro le at scholar.google.com/citations?user=ZF75gj8AAAAJ Male, F., Jensen, J.L., Lake, L.W., \Comparison of permeability predictions on cemented sandstones with physics-based and machine learning approaches," in review, Journal of Natural Gas Science and Engineering, 77, 103244, 2020.

Male, F., Duncan, I.J. \Lessons for machine learning from the analysis of porosity-permeability trans- forms for carbonate reservoirs." Journal of Petroleum Science and Engineering, 187, 106825, 2020. Male, F. \Using a segregated

ow model to forecast production of oil, gas, and water in shale oil plays." Journal of Petroleum Science and Engineering, 180, 48-61, 2019. Male, F. \Assessing impact of uncertainties in decline curve analysis through hindcasting." Journal of Petroleum Science and Engineering, 172, 340-348, 2019. Gherabati, S.A., Hamlin, H.S., Smye, K.M., Eastwood, R.L., Male, F., McDaid, G., \Evaluating hydrocarbon-in-place and recovery factor in a hybrid petroleum system: Case of Bakken and Three Forks in North Dakota." Interpretation, 7 (3), T607-T624. Gherabati, S.A., Hammes, U., Male, F., Browning, J.R., Smye, K., Ikonnikova, S.A., and McDaid, G. SPE-189982-PA: \Assessment of hydrocarbon-in-place and recovery factors in the Eagle Ford shale play." SPE Reservoir Evaluation & Engineering-Reservoir Engineering, 2018. Scanlon, B., Reedy, R., Male, F. and Walsh, M. \Water issues related to transitioning from conven- tional to unconventional oil production in the Permian Basin." Environmental Science & Technology, 2017.

Ikonnikova, S., Male, F., McDaid, G., Reedy, R., Scanlon, B. \Projecting the water footprint associated with shale resource production: Eagle Ford shale case study." Environmental Science & Technology, 2017.

Gherabati, S.A., Browning, J., Male, F., Ikonnikova, S.A. and McDaid, G., 2016. \The impact of pressure and

uid property variation on well performance of liquid-rich Eagle Ford shale." Journal of Natural Gas Science and Engineering, 33, pp.1056-1068. Scanlon, B., Reedy, R., Male, F. and Hove, M. \Managing the increasing water footprint of hydraulic fracturing in the Bakken play, United States," Environmental Science & Technology, 2016. Male, F., Islam, A.W., Patzek, T.W., Ikonnikova, S.A., Browning, J.R., and Marder, M.P. \Analysis of gas production from hydraulically fractured wells in the Haynesville shale using scaling methods." Journal of Unconventional Oil and Gas Resources, 2015. Patzek, T. W., Male, F. and Marder, M., \A simple model of gas production from hydrofractured horizontal wells in shales," AAPG Bulletin v. 98, no. 12, 2014. Patzek, T. W., Male, F. and Marder, M. \Gas production in the Barnett Shale obeys a simple scaling theory," PNAS, doi:10.1073/pnas.131*******, 2013

CONFERENCE PRESENTATIONS

\An Integrated, Multiscale, Geomodel of the Northern Delaware Basin," Unconventional Resources Technology Conference (URTeC), 2019

\Using data analytics to assess the impact of technology change on production forecasting," SPE Annual Technology Conference and Exhibition 2018.

\Hindcasting Production Forecasts in Four Shale Gas Basins Using a Physics-Based Approach," Un- conventional Resources Technology Conference (URTeC), 2018.

\Forecasting Production from Bakken and Three Forks Wells Using a Segregated Flow Model," Uncon- ventional Resources Technology Conference (URTeC), 2017.

\Wells’ Ultimate Production Accurately Predicted from Initial Production," SPE Low Perm Sympo- sium, Society of Petroleum Engineers, 2016.

\Production Decline Analysis in the Eagle Ford," Unconventional Resources Technology Exhibition and Conference (URTeC), 2016.

SPE168993-MS: \Analysis of Gas Production From Hydraulically Fractured Wells In The Haynesville Shale Using Scaling Methods," SPE Unconventional Resources Conference { USA, 2014.

\Decline analysis: applying scaling laws to production in the Marcellus," Unconventional Resources Technology Exhibition and Conference (URTeC), 2014. NON-PEER REVIEWED PAPERS

Browning, J., Ikonnikova, S., Male, F., Gu len, G., Smye, K., Horvath, S., Grote, C., Patzek, T., Potter, E. and Tinker, S.W., \Study forecasts gradual Haynesville production recovery before nal decline," OGJ, 113(12), pp.64-71, 2015

Browning, J., Tinker, S.W., Ikonnikova, S., Gu len, G., Potter, E., Fu, Q., Smye, K., Horvath, S., Patzek, T., Male, F., Roberts, F., and Grote, C., \Study develops Fayetteville Shale reserves, production forecast," OGJ, January 2014

Browning, J., Tinker, S.W., Ikonnikova, S., Gu len, G., Potter, E., Fu, Q., Horvath, S., Patzek, T., Male, F., Fisher, W., Roberts, F., and Medlock, III, K., \BARNETT SHALE MODEL-2 (Conclusion): Barnett study determines full- eld reserves, production forecast," OGJ, September 9, 2013. Browning, J., Tinker, S.W., Ikonnikova, S., Gu len, G., Potter, E., Fu, Q., Horvath, S., Patzek, T., Male, F., Fisher, W., Roberts, F., and Medlock III, K., \BARNETT SHALE MODEL-1: Barnett study determines full- eld reserves, production forecast," OGJ, p. 62, August 5, 2013. Browning, J.R., Ikonnikova, S., Gulen, G., Potter, E., Medlock, K., Male, F., Horvath, S., Patzek, T., Fu, Q., Roberts, F. and Tinker, S., 2013. \Barnett Gas Production Outlook." Search and Discovery Article, 10541.

GRANT REPORTS

Duncan, I., Baques, V., Ren, B., Male, F., et al., in preparation. \Final Report on Optimizing Sweep based on Geochemical and Reservoir Characterization of the Residual Oil Zone of Hess Seminole Unit." Ikonnikova, S., Smye, K., Browning, J., Dommisse, R., Gu len, G., Hamlin, S., Tinker, S., Male, F., McDaid, G., and Vankov, E., 2018. \Final Report on Update and Enhancement of Shale Gas Outlooks." Department of Energy. doi:10.2172/1479289.

Ikonnikova, S., et al., 2016. \Role of Shale Oil in the U.S. Energy Transition: Recoverable Reseources, Production Rates, and Implications." Alfred P. Sloan Foundation. Patzek, T., et al., 2015. \Report on Physics of Hydrocarbon Recovery in Shales." Shell { University of Texas Unconventionals Research project 0911 16. Ikonnikova, S., et al., 2015. \Marcellus Shale: Enhanced Reserves and Production Forecast." Alfred P. Sloan Foundation.

Tinker, S.W., et al., 2014. \Role of Shale Gas in the U.S. Energy Transition: Recoverable Resources, Production Rates, and Implications." Alfred P. Sloan Foundation. PAPERS IN PREPARATION

Male, F. and Jensen, J.L. \Three common statistical mistteps we make in reservoir characterization," in review.

INVITED PRESENTATIONS

\Data-driven and Physics-based analysis for tight oil production," Center for Nonlinear Dynamics - University of Texas at Austin, 12 February 2020.

\Technology progress and physical constraints on tight oil production," University of Texas Energy Symposium, 24 October 2019.

\Unconventional Permian Basin: Well Declines and Resource in Place Estimates," Kansas State Uni- versity Department of Geology, 15 March 2018.

\Resource assessments and the future of data analytics in the oil eld," Lloyd’s Register IP/IC User Consortium, 5 October 2017.

PRESS INTERVIEWS

\Refracturing may not be all it’s cracked up to be," Physics Today 70, 11, 27 (2017) https://doi. org/10.1063/PT.3.3761

\Powerful Forecasting for Shale Reservoirs," GEO ExPro, 14, 3 (2017) HONORS AND AWARDS

2015 University of Texas Pre-commencement speaker

Cozzarelli Prize for Engineering and Applied Sciences{Proceedings of the National Academy of Sciences Phi Beta Kappa Honor Society

Sigma Pi Sigma Physics Honorary

Eagle Scout

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