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Records 7061–7080 of 23868 (all records), sorted by keywords descending
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Title Authors Session Keywords ▾ Conference Year Language
Don’t Let Negatives Hold You Back: Accounting for Underlying Physics and Natural Distributions of Hydrothermal Systems When Selecting Negative Training Sites Leads to Better Machine Learning Predictions Caraccioli, Pascal D.; Mordensky, Stanley P.; Lindsey, Cary R.; DeAngelo, Jacob; Burns, Erick R.; Lipor, John J. Exploration; Machine learning; Play fairway analysis machine learning, geothermal, Nevada, class imbalance, positive-unlabeled classification, XGBoost, geothermal favorability, play fairway analysis 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
Machine Learning Approach to Generate Synthetic Sonic Logs in Geothermal Wells Vivas, Cesar; Salehi, Saeed Machine learning; Drilling Machine Learning, Geothermal drilling, Sonic Compressional signal, Real-Time Drilling Data, Synthetic Data, Sonic Logs Geothermal Resources Council Transactions 2021 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
Predicting Geothermal Favorability in the Western United States by Using Machine Learning: Addressing Challenges and Developing Solutions Stanley MORDENSKY, John LIPOR, Jacob DEANGELO, Erick BURNS, Cary LINDSEY Modeling machine learning, exploration, hydrothermal, class imbalance, resource favorability Stanford Geothermal Workshop 2022 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
Machine Learning Enhanced Seismic Monitoring at 100 Km and 10 m Scales Chengping CHAI, Monica MACEIRA, EGS Collab Team Geophysics machine learning, deep learning, seismic monitoring, geothermal energy, EGS Collab Stanford Geothermal Workshop 2022 English
The Reservoir Temperature Prediction Using Hydrogeochemical Indicators by Machine Learning: Western Anatolia (Turkey) Case Fusun S. TUT HAKLIDIR, Mehmet HAKLIDIR Exploration machine learning, deep learning, hydrogeochemistry, geothermal, geothermal exploration World Geothermal Congress 2020 English
GeoDAWN to GeoTGo: from Complex Data to Decisions Related to Geothermal Prospectivity Tracy KLIPHUIS, Ari MARKOWITZ, Rishi YANG, Velimir (Monty) VESSELINOV Modeling machine learning, data imputation, feature extraction, hidden geothermal resources, geothermal exploration, prospectivity. Stanford Geothermal Workshop 2025 English
First Year Report of EDGE Project: an International Research Coordination Network for Geothermal Drilling Optimization Supported by Deep Machine Learning and Cloud Based Data Aggregation Rolando CARBONARI, Dang TON, Alain BONNEVILLE, Daniel BOUR, Trenton CLADOUHOS, Geoffrey GARRISON, Roland HORNE, Susan PETTY, Robert RALLO, Adam SCHULTZ, Carsten F SØRLIE, Ingolfur Orn THORBJORNSSON, Matt UDDENBERG, Leandra WEYDT Modeling machine learning, data analysis, deep learning, well optimization Stanford Geothermal Workshop 2021 English
Machine-Learning Methods and Tools Designed for Community-Based Equitable and Inclusive Geothermal Development Velimir (Monty) VESSELINOV, Hope JASPERSON, Tracy KLIPHUIS General machine learning, data analyses, artificial intelligence, community-based geothermal development Stanford Geothermal Workshop 2024 English
GeoThermalCloud: Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources Velimir V. VESSELINOV, Bulbul AHMMED, Luke FRASH, Maruti K. MUDUNURU Emerging Technology machine learning, cloud computing Stanford Geothermal Workshop 2022 English
Estimation of Bottom Hole and Formation Temperature by Drilling Fluid Data: A Machine Learning Approach Sercan GUL, Volkan ASLANOGLU, Mahmut Kaan TUZEN, Erdinc SENTURK Drilling machine learning, bottom hole temperature, formation temperature, drilling fluids Stanford Geothermal Workshop 2019 English
Application of machine-learning for the prediction of formation rate of silica scale from geothermal water S. Juhri, K. Yonezu, T. Ryunosuke, K. Manaya, E. Watanabe, K. Mori, S. Sato, N. Inoue, H.E. Wibowo, T. Yokoyama Session 6.2 - SCALING & CORROSION 2 machine learning, artificial intelligence, silica, scaling, geothermal New Zealand Geothermal Workshop 2024 English
Machine Learning Estimates of Geothermal and Critical Mineral Prospectivity of the Great Basin Velimir VESSELINOV, Trais KLIPHUIS Modeling Machine Learning, Artificial Intelligence, Geothermal Prospectivity Stanford Geothermal Workshop 2026 English
Predicting Bottomhole Circulating Temperature while Drilling High Enthalpy Geothermal Wells Using Machine Learning Models Khaled, Mohamed Shafik; Gu, Qifan; Chen, Dongmei; Ashok, Pradeepkumar; van Oort, Eric Drilling; Machine learning; FORGE Machine learning models, thermal management, bottom hole circulating temperature, Utah Forge field, real-time monitoring Geothermal Resources Council Transactions 2022 English
Kotchany Integrated Geothermal Project Sanja Popovska, Kiril Popovski and Ljupcho Gashteovski SECTION 10 - Direct Heat Uses Macedonia, integrated project, heat load, reservoir engineering, marketing World Geothermal Congress 1995 English
Geological and Technical Aspects of Geothermal Energy Utilization in Małopolska Region (South Poland) Antoni P. Barbacki, Wieslaw Bujakowski 14. Direct Use, Geothermal Heat Pumps Małopolska- Poland, Space-heating, Heat pumps, Prospective areas, Geothermal aquifers World Geothermal Congress 2005 English
Whakarewarewa a Living Thermal Village –Rotorua, New Zealand Grace Neilson, Greg Bignall, Diane Bradshaw 33. Health, Tourism and Balneology Māori, geothermal, cultural activities, tourism, sustainable management, Whakarewarewa, Rotorua World Geothermal Congress 2010 English
Thermal reservoir characterization and geothermal resources assessment of the Guantao Formation in Luyi County, Henan Province Kang Tian, yanlong Kong, wenfeng Qi, zhixiang Zhai, zhipeng Xue Exploration Luyi county, geothermal well drilling, geothermal well hydrogeological parameters, geophysical logging, recoverable geothermal resources World Geothermal Congress 2023 English
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