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SPE Permian Basin Energy Conference and Exhibition
22–24 Sep 2026 | Bush Convention Center, Midland, Texas  

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AI and Data Science

Wednesday, 23 September
Ballroom
Technical and Invited Presenter
This session examines how AI-driven techniques are being applied across the Permian Basin to enhance subsurface understanding and guide resource evaluation. Presenters share complementary case studies showing how transforming routine field data into actionable insights can inform better development decisions in complex unconventional reservoirs.
Chairperson
Nuny Rincones, Session Chair - ConocoPhillips
Berna Hascakir - Texas A&M University
  • 1330-1400 234646
    Resource and Well Performance Characterization in the Permian Basin with the Application of Artificial Intelligence Techniques
    Q. Lu, J. Daal, L. McAuliffe, W. Prabowo, H. Zhou, M.A. Burkard, M. Rincones, R.E. Paz Lopez, T. Williford, ConocoPhillips
  • 1400-1430
    A Spectral Gamma Ray Machine Learning Model for Clay Speciation in the Wolfcamp D: Filling the Data Gap and Delineating Regional Depositional and Structural Trends
    C. Layman, Diamondback Energy
  • 1430-1500
    TBD Topic
    D. Emrich, C. Loverin, Enverus