| Predicting Large Hydrothermal Systems |
Mordensky, Stanley P.; Burns, Erick R.; DeAngelo, Jacob; Lipor, John J. |
Machine learning; Exploration; Play Fairway analysis; Heat f |
geothermal, supervised machine learning, heat flow, regression, play fairway analysis, PFA, INGENIOUS |
Geothermal Resources Council Transactions |
2023 |
English |
| GeoThermalCloud for EGS – An Open-source, User-friendly, Scalable AI Workflow for Modeling Enhanced Geothermal Systems |
Mudunuru, Maruti K.; Ahmmed, Bulbul; Frash, Luke |
HDR/EGS; Machine Learning |
Enhanced Geothermal Systems, Geothermal Design Toolkit, Deep learning, Sensitivity Analysis, Techno-Economics |
Geothermal Resources Council Transactions |
2023 |
English |
| Comprehensive Study of Geology to Geomechanics for Delineating a Sweet Spot Map in a Geothermal Field. Study Case: Utah FORGE, USA |
Mulyani, S.; Aulia, A.B.; Wisnubroto, B.; Widiatmoko, W.; Pradana, A.; Trikukuh, J.S.; Puspa, M.A. |
Exploration; Mapping; FORGE; Rock mechanics |
Geology, Geomechanic, Fracture Model, Critical Stress, Chance Map |
Geothermal Resources Council Transactions |
2023 |
English |
| A Machine Learning Approach for Stress Prediction in Granitoid Formation at FORGE Geothermal Site Using Compressional and Shear-wave Slowness |
Mustafa, Ayyaz; Kelley, Mark; Lu, Guanyi; Bunger, Andrew P. |
Exploration; Reservoir modeling; Machine learning; FORGE |
Machine Learning, Geothermal Reservoirs, Utah FORGE, In-situ Stresses, Adaptive Neuro- Fuzzy Inference System, Artificial Neural Networks, Functional Networks, Predictive Modelling |
Geothermal Resources Council Transactions |
2023 |
English |
| Engineered Geothermal Battery Systems: Coupled Processes and Wellbore Operability Limits |
Mutlu, Uno; Ghassemi, Ahmad; Adams, Derek; Boitnott, Gregory |
Thermal energy storage; Rock mechanics |
Geologic Thermal Energy Storage, Geomechanics, Formation Damage, Fines Migration, Thermo-Hydro-Mechanical Coupling |
Geothermal Resources Council Transactions |
2023 |
English |
| 3D Natural State Model of Menengai East Geothermal Reservoir, Kenya |
Mutonga, Marietta W.; Fujimitsu, Yasuhiro |
Reservoir modeling; |
The numerical, natural state, Menengai East |
Geothermal Resources Council Transactions |
2023 |
English |
| A Case Study on Geothermal Power Generation System by Carbon Dioxide Circulation |
Nakao, Yoshinobu; Suenaga, Hiroshi; Fukada, Toshiaki; Kaieda, Hideshi; Ohsato, Kazumi; Terai, Amane |
Power plant design and operation; Carbon dioxide |
Carbon dioxide, Geothermal Power, Laboratory experiment, Numerical simulation |
Geothermal Resources Council Transactions |
2023 |
English |
| Development of Carbon-Based Coating to Suppress Silica Scale Accumulation on Geothermal Turbine Blades |
Nakashima, Yuya; Hirota, Masato; Yamada, Shigeto; Dela Cruz, Ricardo C.; Sanggalang, Miller A. |
Equipment design; Turbines; Scaling |
Low adhesion coating, Silica scale, Diamond like Carbon |
Geothermal Resources Council Transactions |
2023 |
English |
| Towards Subsurface Stress and Strain Monitoring and Modeling at Geothermal Fields -- a Case Study of the Patua Geothermal Field |
Nakata, Nori; Hopp, Chet; Luo, Linqing; Qiu, Hongrui; Vasco, Don W.; Lisabeth, Harry; Smith, Torquil; Sonnenthal, Eric; Robertson, Michelle; Swyer, Michael |
Reservoir modeling; Seismicity; Geological surveys |
structural monitoring, seismicity, stress and strain, seismic, geodesy, THMC modeling |
Geothermal Resources Council Transactions |
2023 |
English |
| Unlocking the Potential of Geothermal Energy in North Dakota's Williston Basin: Developing a Correction Method for Bottom Hole Temperatures |
Namie, Shane; Alamooti, Moones; Eiring, Shane |
HDR/EGS; Reservoir modeling |
Bottom-Hole-Temperature, Williston Basin, Geothermal, Enhanced Geothermal Systems, EGS, BHT |
Geothermal Resources Council Transactions |
2023 |
English |
| Comparing UMNY Machine Learning Predictions of Ground Temperature and Soil Thermal Conductivity to Real-World Sensor Measurements from Across the World |
Nicholson, Sarah R.; Antoun, Sylvie; Frith, Sheldon |
Machine learning; Thermal conductivity |
Ground Temperature, Thermal Conductivity, Ground Data, Machine Learning Predictor, Physics-Based Deep Learning, Geothermal, Geo-exchange |
Geothermal Resources Council Transactions |
2023 |
English |
| Exploration for Blind, Deep Circulation, Geothermal Resources Along Gulf of Aqaba Coastal Region of NEOM, Saudi Arabia |
Milton, Alex; Hinz, Nicholas; Fishbin, Amanda; Alali, Ammar; Lundquist, Marybeth; Chandra, Vicky R.; Alhani, Ahmed |
Exploration; Blind reservoirs |
Blind geothermal resource, deep circulation, resource analogues, geothermal exploration, Saudi Arabia |
Geothermal Resources Council Transactions |
2023 |
English |
| Enhancing Bottom Hole Awareness in Geothermal Drilling with a Novel Brush Wire Tool Joint Connectivity System for Real-Time Data Transfer: Design and Experimental Evaluation |
Obene, Pufinji; Tvapanyan, Tateos; Bufalini, Andrea; Coppola, Tommaso; Wittig, Volker; Schroer, Philipp |
Drilling; Equipment design; |
Geo-Drill, Geothermal, Drilling, Tool Joint, Real time Data Transfer, ROP |
Geothermal Resources Council Transactions |
2023 |
English |
| Subsurface Characterization for Evaluating Geothermal Resource Potential from Existing Oil and Gas Wells in Tuttle, Oklahoma |
Uh, Hyunjun; Akar, Sertaç; Davalos Elizondo, Estefanny; Vivas, Cesar; Salehi, Saeed |
Exploration; Geochemical surveys; Geothermometers |
Geothermal energy, subsurface characterization, geothermal resource assessment, hydro geochemistry, geothermometer, repurposing oil and gas wells |
Geothermal Resources Council Transactions |
2023 |
English |
| Investigating the Feasibility of a Geothermal Huff-n-Puff: Implications for Enhanced Geothermal Systems |
Merzoug, Ahmed; Zhang, Jingjing; Okoroafor, Esuru Rita |
Reservoir modeling; HDR/EGS; Feasibility studies |
Huff-n-Puff, EGS, Reservoir Modeling, Optimization |
Geothermal Resources Council Transactions |
2023 |
English |
| Experimental Analysis of How the Form of Biodegradable Resin Drilling Fluid Additives Affects Filtration Properties and Lost Circulation Prevention Performance |
Onuki, Masayoshi; Bjarkason, Elvar K.; Naganawa, Shigemi |
Drilling; Lost circulation materials; Drilling fluids |
Drilling mud, fluid loss, lost circulation materials, filtration properties, filter cake |
Geothermal Resources Council Transactions |
2023 |
English |
| Importance of Understanding Bottom-Up Control when Characterizing Geothermal Systems |
Peacock, Jared R.; Bedrosian, Paul A. |
Exploration; Geophysical surveys; Magnetotelluric surveys |
magnetotellurics, Great Basin, mantle flow, INGENIOUS |
Geothermal Resources Council Transactions |
2023 |
English |
| In-situ Stress Analysis in CUBO (Cornell University Borehole Observatory) |
Pinilla, Daniela; Fulton, Patrick; Jordan, Teresa |
Direct use; Stress fields; HDR/EGS; CUBO |
Stress Analysis, Direct Use, Cornell University, EGS |
Geothermal Resources Council Transactions |
2023 |
English |
| Analytical Estimation for the Production Temperature of a Geothermal Doublet |
Pogacnik, Justin; Harcouët-Menou, Virginie; Laenen, Ben |
Low temperature resources; Reservoir cooldown |
Geothermal doublet, analytical solution, seasonal usage, production temperature |
Geothermal Resources Council Transactions |
2023 |
English |
| An Inverse Model Approach used for Unknown Fracture Aperture Distribution using a Machine Learning Algorithm and Dimensionality Reduction |
Puthur, Reeby J.; Hawkins, Adam J.; Tester, Jefferson W. |
Reservoir modeling; HDR/EGS; Machine learning; Tracer testin |
Geothermal energy, renewable energy resources, enhanced geothermal energy systems EGS, machine learning, deep learning, reservoir characterization, tracer test, fracture analysis |
Geothermal Resources Council Transactions |
2023 |
English |