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
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0800-0825 230743Automation Of Simultaneous Temperature And Pressure Control In A Geothermal Test Well
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0825-0850 230698Drilling Performance Evolution In Advanced Geothermal
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0850-0915 230760A Hybrid Physics-informed Machine Learning Framework For Proactive Downhole Temperature Management In Hpht And Geothermal Drilling
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0915-0940 230758De-Risking EGS Well Design By Validating A Coupled Thermal-Hydraulic-Mechanical Wellbore Simulator
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0940-1005 230738Automatic Identification Of Natural And Induced Fractures In Geothermal Wells Using Routinely Collected Drilling Data
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Alternate 230784A Systematic Literature Review Of Bit-rock Interactions In Geothermal Wells For Predictive Bit-life Management
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Alternate 230754A Data-driven Framework For Cement Carbonation Testing In Ccs Wells: Reducing Variability Through Clustering Analysis
IADC/SPE International Drilling Conference and Exhibition
