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Transforming Geothermal Drilling Through Intelligence and Integration

Wednesday, 18 March
Grand Ballroom A
Technical Session
This session highlights innovations in geothermal well design, including automation, machine learning, and simulation. A featured case study from an EGS project showcases breakthrough performance in multi-lateral drilling, while other talks explore predictive thermal control, fracture identification, and risk-informed wellbore modeling.
Session Chairpersons
Andreas Karkossa - Helmerich & Payne
Mahmoud ElGizawy - Schlumberger Oilfield Services
  • 0800-0825 230743
    Automation of Simultaneous Temperature And Pressure Control In A Geothermal Test Well
    Y. Zhang, X. Duan, S. Callerio, P. Ashok, D. Chen, E. van Oort, The University of Texas At Austin; G. Chen, C. Wright, A. Garcia, NOV
  • 0825-0850 230698
    Drilling Performance Evolution In Advanced Geothermal
    B. Dow, SLB; E. Arida, Eavor Deutschland; W. Jordaan, Eavor Technologies; A. Vetsak, Eavor Technologies Inc.; S. Brands, R. Griffon, M. Boonen, SLB
  • 0850-0915 230760
    A Hybrid Physics-informed Machine Learning Framework For Proactive Downhole Temperature Management In Hpht And Geothermal Drilling
    M. Hiba, M. Khaled, L. Zerpa, Colorado School of Mines
  • 0915-0940 230758
    De-Risking EGS Well Design by Validating a Coupled Thermal-Hydraulic-Mechanical Wellbore Simulator
    E. Allahverdiyev, University of Oklahoma | Altus Well Experts Inc.; C. Teodoriu, University of Oklahoma; A. McSpadden, R. Trevisan, J. Howard, Altus Well Experts Inc.
  • 0940-1005 230738
    AutomaticIdentification of Natural and Induced Fractures in Geothermal Wells UsingRoutinely Collected Drilling Data
    I. Mellal, Colorado School of Mines; M. Gabry, M. Soliman, University of Houston; M. Khaled, Colorado School of Mines
  • Alternate 230784
    A Systematic Literature Review of Bit-Rock Interactions in Petroleum and Geothermal Wells for Predictive Bit-Life Management
    S. Eidee, Colorado School of Mines; A. Gowida, King Fahd University of Petroleum & Minerals; O. Shaaban, M. Khaled, Colorado School of Mines
  • Alternate 230754
    A Data-driven Framework For Cement Carbonation Testing In Ccs Wells: Reducing Variability Through Clustering Analysis
    K. Abid, E. Allahverdiyev, C. Teodoriu, University of Oklahoma