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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
Ballrooms A-C
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
Rong Lu - Viridien Group
  • 1330-1400 234646
    Resource And Well Performance Characterization In The Permian Basin With The Application Of Artificial Intelligence Techniques
    T. Williford, ConocoPhillips Co; Q. Lu, ConocoPhillips; J. Daal, L. MCAULIFFE, W. Prabowo, ConocoPhillips Co; H. Zhou, M.A. Burkard, ConocoPhillips; M. Rincones, R.E. Paz Lopez, ConocoPhillips Co
  • 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