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Records 7041–7060 of 23868 (all records), sorted by keywords descending
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Title Authors Session Keywords ▾ Conference Year Language
EVOLUTION AND ERUPTION OF GEOTHERMALLY COOLED MAGMA BODIES D. Dempsey, D. Gravley, J. Rowland Session 3.3 Geothermal Heat Anomalies magma body, eruption, geothermal system, model, magmatic fluids, viscoelastic New Zealand Geothermal Workshop 2018 English
Main Geothermal Features of Northwest African Countries Lahlou Mimi, A.; Ben Dhia, H.; Bouri, S. Hydrogeology; Exploration; Thermal springs Maghrebian Area; Thermal Springs; Geothermal Gradient; Heat Flow Density Geothermal Resources Council Transactions 1997 English
Deep Geothermal Energy Potential in the Madrid Basin Hidalgo, R.; Sanchez, J.; Ungemach, P. Exploration; Geological surveys; District heating/cooling Madrid; Geothermal; Low Temperature; Thermal Uses Geothermal Resources Council Transactions 2009 English
Evaluation of Machine Learning Models Based on Different Data Preprocessing Methods of Predicting Geothermal Heat Flow in China Jifu HE, Kewen LI, Lin JIA Reservoir Engineering machine learning; geothermal heat flow; Bohai Bay Basin. Stanford Geothermal Workshop 2024 English
A New Machine Learning Algorithm for Production Well Analysis MUCHAMAD Harry, Jantiur SITUMORANG, PRABATA Welly Reservoir Engineering machine learning, wellbore simulation, ANN, decision tree regressor, JIWA Flow Stanford Geothermal Workshop 2021 English
Development of prevention strategies for silica scaling based on neural network supervised machine learning S. Juhri, K. Yonezu, R. Terashi, T. Naritomi, E. Watanabe, S. Sato, N. Inoue, T. Yokoyama Session 2.2 - GEOCHEMISTRY / SCALING & CORROSION 1 machine learning, silica scale, mitigation, inhibitor New Zealand Geothermal Workshop 2025 English
Recurrent Neural Networks for Prediction of Geothermal Reservoir Performance Anyue JIANG, Zhen QIN, Trenton T. CLADOUHOS, Dave FAULDER, Behnam JAFARPOUR Reservoir Engineering machine learning, predictive analytics, recurrent neural networks, geothermal reservoirs Stanford Geothermal Workshop 2021 English
Machine Learning-Based Power Density Prediction for Binary Cycle Geothermal Power Generation in Japan Hisako MOCHINAGA Modeling machine learning, power density, geothermal reservoir modeling, FNN, RNN, sequence to sequence prediction Stanford Geothermal Workshop 2022 English
Preliminary Report on Applications of Machine Learning Techniques to the Nevada Geothermal Play Fairway Analysis James E. FAULDS, Stephen BROWN, Mark COOLBAUGH, John H. QUEEN, Sven TREITEL, Michael FEHLER, Eli MLAWSKY, Jonathan M. GLEN, Cary LINDSEY, Erick BURNS, Connor M. SMITH, Chen GU, and Bridget AYLING Modeling machine learning, play fairway analysis, Nevada, training sites, structural control, Great Basin Stanford Geothermal Workshop 2020 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
Physics-Guided Deep Learning for Prediction of Geothermal Reservoir Performance Zhen QIN, Anyue JIANG, Dave FAULDER, Trenton T. CLADOUHOS, and Behnam JAFARPOUR Emerging Technology machine learning, physics-informed, neural networks, geothermal reservoir Stanford Geothermal Workshop 2022 English
Physics-Guided Deep Learning for Prediction of Energy Production from Geothermal Reservoirs Qin, Zhen; Jiang, Anyue; Faulder, Dave; Cladouhos, Trenton T.; Jafarpour, Behnam Exploration; Machine Learning; Reservoir modeling machine learning, physics-guided neural networks, geothermal reservoir, energy production Geothermal Resources Council Transactions 2022 English
Optimization of Multi-Unit Geothermal Power Plants with Neural Network Models Ling, Wei; Liu, Yingxiang; Young, Robert; Zia, Jalal; Swyer, Michael; Cladouhos, Trenton T.; Jafarpour, Behnam Power plant design and operation; Binary cycle power generat Machine learning, Optimization, Neural Networks, geothermal power plants Geothermal Resources Council Transactions 2022 English
Investigation of the Geothermal Literature Using Machine Learning Algorithms Mohammad (Jabs) ALJUBRAN, Alaa ALAHMED, Ahmed ALKHALIFAH, Matt HALL General machine learning, natural language processing, literature Stanford Geothermal Workshop 2022 English
ML-aided Induced Seismicity Processing and Interpretation for Geothermal Field Monitoring Nori NAKATA, Zhengfa BI, Hongrui QIU, Cheng-Nan LIU and Rie NAKATA Geophysics machine learning, induced seismicity, seismic monitoring Stanford Geothermal Workshop 2026 English
Geochemical Characteristics of Low-, Medium-, and Hot-temperature Geothermal Resources of the Great Basin, USA Bulbul AHMMED, Velimir V. VESSELINOV, Maruti K. MUDUNURU, Richard MIDDLETON, Satish KARRA Big Data and Data Analytics machine learning, hidden signals, NMFk, geothermal World Geothermal Congress 2020 English
Comparative study of machine learning models based on different data preprocessing methods in geothermal heat flow prediction in China Jifu He, Kewen Li, Lin Jia AI Machine learning, Gradient boosted regression tree, Data preprocessing method, Geothermal heat flow, China World Geothermal Congress 2023 English
GOOML - Finding Optimization Opportunities for Geothermal Operations Paul SIRATOVICH, Grant BUSTER, Nicole TAVERNA, Michael ROSSOL, Jon WEERS, Andrea BLAIR, Jay HUGGINS, Christine SIEGA, Warren MANNINGTON, Alex URGEL, Johnathan CEN, Jaime QUINAO, Robbie WATT, John AKERLEY Emerging Technology Machine Learning, GOOML, Optimization, Operations, Forecast, Steamfield, Geothermal, Digital Twin Stanford Geothermal Workshop 2022 English
GOOML- Real World Applications of Machine Learning in Geothermal Operations Siratovich, Paul; Blair, Andrea; Marsh, Andrew; Buster, Grant; Taverna, Nicole; Weers, Jon; Siega, Christine; Urgel, Alex; Mannington, Warren; Cen, Jonathan; Quinao, Jaime; Watt, Robbie; Akerley, John Power plant design and operation; Machine learning; GOOML Machine Learning, GOOML, forecasting, shut planning, optimization, operations Geothermal Resources Council Transactions 2022 English
GeoCore: an Efficient and Scalable Framework to Optimize Geospatial Machine Learning Ognjen GRUJIC, Thomas HOSSLER, Jacob LIPSCOMB, Rachel MORRISON, Connor SMITH Modeling Machine Learning, Geothermal, Play Fairway, Great Basin, Modeling, Geospatial, Exploration, INGENIOUS, Python, Codebase Stanford Geothermal Workshop 2025 English
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