Mark, Lauren and Wayne

Mark McClure

Co-Founder and Chief Executive Officer

Mark McClure established ResFrac in 2015 to help operators maximize value through the application of advanced geomechanics and reservoir simulation.

Before founding ResFrac, Mark was an assistant professor at the University of Texas at Austin in the Department of Petroleum and Geosystems Engineering. After earning a Bachelor of Science in chemical engineering and a Master of Science in petroleum engineering from Stanford University, Mark earned a PhD in energy resources engineering at Stanford. His academic research focuses on hydraulic fracturing, diagnostic fracture injection tests, induced seismicity, and enhanced geothermal systems.

Mark has earned multiple awards, including the Hank Ramey Award from Stanford University, Best Paper in Geophysics, an outstanding paper award at URTeC, Hart Energy 40 Under 40,  SPE Regional Awards for Completions Optimization and for Young Member Service, and SPE’s TWA Energy Influencers award. On four occasions, he has received recognition from journals as an outstanding reviewer.

In his free time, Mark enjoys hiking, playing with his dog, watching sports, and traveling.

Click here for a list of Mark’s publications.

Mark's posts

2022 Geothermal Rising

Reflections from the 2022 Geothermal Rising Conference

This is an exciting time for EGS. Multistage hydraulic fracturing has tremendous potential to improve the productivity of geothermal wells in low permeability formations. Projects are happening right now to test this concept in full-scale EGS wells. If they prove successful, we could soon see a major increase in geothermal energy production.

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simulation with five wells in a hypothetical formation with two pay zones. In the base simulation, all the wells are landed in the upper pay zone. However, the algorithm is given the option to vary the landing depth of the second and fourth wells. The figures below show the ‘baseline’ simulation.

ResFrac’s Automated Economic Optimization Tool

ResFrac’s automated optimization tool allows you to quickly and easily identify the economically best well spacing and frac design. This blog post steps through a simple demo of our built-in economics engine that is similar to those used by commercial software in the industry. It accounts for details such as working interest, different types of taxes, time-varying operations cost, etc.

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Commentary on Four New DFIT Papers: (a) Direct In-Situ Measurements of Fracture Opening/Closing from the EGS Collab Project; (b) Comparison of Stress Measurement Techniques from the Bedretto Project; (c) a Statistical Summary of 62 DFITs Interpretations Across Nine Shale Plays; and (d) A Different Perspective: An Article Advocating the Use of the Tangent Method

This post provides commentary on recent four papers on diagnostic fracture injection testing (DFIT). The first paper uses in-situ deformation measurements to directly observe fractures opening and closing during fracture injection-falloff tests (Guglielmi et al., 2022). The second compares various stress measurement techniques in a series of fracture/injection tests from the Bedretto project (Bröker and Ma, 2022). The third statistically reviews results from applying the interpretation procedure from McClure et al. (2019) to 62 DFITs across nine different shale plays (McClure et al., 2022). The fourth is an op-ed written in JPT (Journal of Petroleum Technology) by an advocate of the tangent method for estimating DFIT closure stress (Buijs, 2021; 2022). This article presupposes that the reader already has familiarity with these topics. If you would like more background, please refer to McClure et al. (2019).

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