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Records 6821–6840 of 23868 (all records), sorted by Session descending
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Title Authors Session ▾ Keywords Conference Year Language
Magma Energy Extraction Dunn, J. C.; Chu, T. Y. Magma energy Power Generation; Heat Exchangers Geothermal Resources Council Transactions 1987 English
Multi-Objective Optimization of Heat Extraction from Multilateral-Well Geothermal Energy System Song, Guofeng; Li, Gensheng; Song, Xianzhi; Xu, Fuqiang; Shi, Yu; Wang, Gaosheng Machine learning; Well optimization; Power plant design and multi-objective optimization, operational parameters, multilateral-well, geothermal system, genetic algorithm, flow impedance Geothermal Resources Council Transactions 2020 English
GOOML: Geothermal Operational Optimization with Machine Learning Siratovich, Paul A.; Blair, Andrea; Weers, Jon Machine learning; Well optimization; Databases; Power plant big data, machine learning, algorithms, field optimization, GOOML Geothermal Resources Council Transactions 2020 English
Using Machine Learning to Predict Future Temperature Outputs in Geothermal Systems Duplyakin, Dmitry; Siler, Drew L.; Johnston, Henry; Beckers, Koenraad; Martin, Michael Machine learning; Well optimization — Geothermal Resources Council Transactions 2020 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
Detecting Subsurface Faults at the Blue Mountain Geothermal Field Using a Machine Learning Approach Gao, Kai; Huang, Lianjie; Zheng, Yingcai; Cladouhos, Trenton Machine learning; Seismic imaging Machine learning, fault detection, Blue Mountain geothermal field, migration image Geothermal Resources Council Transactions 2021 English
Deep Learning-Based Predictive Control for Geothermal Operations Ling, Wei; Liu, Yingxiang; Young, Robert; Zia, Jalal; Swyer, Michael; Cladouhos, Trenton T.; Jafarpour, Behnam Machine learning; Power plant design and operation Deep learning, model predictive control, neural networks, geothermal power plants Geothermal Resources Council Transactions 2021 English
Prospectivity Analyses of the Utah FORGE Site Using Unsupervised Machine Learning Ahmmed, Bulbul; Vesselinov, Velimir V. Machine learning; Play fairway analysis; FORGE Play fairway analysis, unsupervised machine learning, NMFk, prospectivity analysis, Utah FORGE Geothermal Resources Council Transactions 2021 English
Machine Learning for Natural Resource Assessment: An Application to the Blind Geothermal Systems of Nevada Brown, Stephen; Coolbaugh, Mark; DeAngelo, Jacob; Faulds, James; Fehler, Michael; Gu, Chen; Queen, John; Treitel, Sven; Smith, Connor; Mlawsky, Eli Machine learning; Play Fairway Analysis; Exploration; Geolog Machine learning, play fairway analysis, Nevada, categorical features, structural control Geothermal Resources Council Transactions 2020 English
Unsupervised Machine Learning to discover attributes that characterize low, moderate, and high-temperature geothermal resources Vesselinov, Velimir V.; Ahmmed, Bulbul; Mudunuru, Maruti K. Machine learning; Low temperature reservoirs; Moderate tempe — Geothermal Resources Council Transactions 2020 English
A Hybrid Ensemble Machine Learning Algorithm for Lost Circulation Prediction in Geothermal Exploration Nwosu, Chinedu Joseph; Salehi, Saeed Machine learning; Lost circulation; Drilling lost circulation, geothermal, mud losses, machine learning, multiclassification, classification Geothermal Resources Council Transactions 2022 English
Using machine learning on combined 3D seismic and MT datasets Mellors, Robert J.; Magana-Zook, Steven; Pullammanappallil, Satish; Gasperikova, Erika Machine learning; Geophysical surveys; Resisitivity surveys; — Geothermal Resources Council Transactions 2020 English
Machine Learning to Characterize State of Stress Influence on Geothermal Production Vesselinov, Velimir; Frash, Luke; Ahmmed, Bulbul; Mudunuru, Maruti K. Machine learning; Geological surveys; Fractures unsupervised machine learning, geothermal, geothermal power production, stress and permeability Geothermal Resources Council Transactions 2021 English
Seismic Double-beam Neural Network Approach to Characterizing Small-Scale Fractures in Geothermal Fields Zheng, Yingcai; Li, Jiaxuan; Hu, Hao; Gao, Kai; Huang, Lianjie; Cladouhos, Trenton Machine learning; Fractures; Reservoir modeling Seismic, fracture detection, Neural network, Geothermal reservoir, double-beam, double-beam neural network, DBNN Geothermal Resources Council Transactions 2021 English
Fracture Characterization by Temperature Log Interpretation Based on Machine Learning Yang, Xiaoyu; Tartakovsky, Daniel M.; Horne, Roland N. Machine learning; Fractures Fracture detection; DTS; Machine learning Geothermal Resources Council Transactions 2023 English
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
Cursed? Why One Does Not Simply Add New Data Sets to Supervised Geothermal Machine Learning Models Mordensky, Stanley P.; Burns, Erick R.; Lipor, John J.; DeAngelo, Jacob Machine learning; Exploration; Play Fairway analysis geothermal, features, supervised machine learning, play fairway analysis, PFA, dimensionality Geothermal Resources Council Transactions 2023 English
Productivity Prediction of a Geothermal System Using a LSTM Neural Network Shi, Yu; Song, Xianzhi; Li, Gensheng Machine learning; Exploration; Feasibility studies LSTM; sequential data; productivity prediction; MLP Geothermal Resources Council Transactions 2020 English
Machine Learning Methods for Estimating Down-hole Depth of Cut Sacks, Jacob; Choi, Kevin; Bruss, Kathryn; Su, Jiann-Cherng; Buerger, Stephen P.; Mazumdar, Anirban; Boots, Byron Machine learning; Economic aspects Machine learning, down-hole estimation, depth of cut Geothermal Resources Council Transactions 2021 English
Improving the Accessibility and Usability of Geothermal Information with Data Lakes and Data Pipelines on the Geothermal Data Repository Weers, Jon; Porse, Sean; Huggins, Jay; Rossol, Michael; Taverna, Nicole Machine learning; Drilling; FORGE Geothermal, data, repository, GDR, OpenEI, OEDI, seismic, FORGE, PoroTomo, drilling, DAS, DTS, DSS, DOE, collaboration, storage, transfer, dissemination, access, open, discoverability, usability, accessibility, standards, pipeline, translation, detection Geothermal Resources Council Transactions 2021 English
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