| Distributed Acoustic Sensing Monitoring at the First EGS Collab Testbed |
David LI, Lianjie HUANG, Benxin CHI, Jonathan AJO-FRANKLIN, Veronica RODRIGUEZ TRIBALDOS, Martin SCHOENBALL, Timothy KNEAFSEY, and EGS Collab Team |
EGS Collab |
DAS, EGS Collab, monitoring, fracture, borehole, stimulation |
Stanford Geothermal Workshop |
2020 |
English |
| Modeling of Distributed Strain Sensing (DSS) in Utah FORGE Stimulations |
Ruwantha RATNAYAKE, Ahmad GHASSEMI |
Enhanced Geothermal Systems |
DAS, EGS, Strain, Hydraulic fractures, FORGE |
Stanford Geothermal Workshop |
2023 |
English |
| Distributed Acoustic Sensing Strain Signatures as an Indicator of Fracture Connectivity in Enhanced Geothermal Systems |
Megan WARD-BARANYAY, Matthew BECKER, Ahmad GHASSEMI, Jonathan AJO-FRANKLIN, and The FOGMORE Team |
Enhanced Geothermal Systems |
DAS, Geothermal, FORGE, EGS, stimulation, modeling and simulation |
Stanford Geothermal Workshop |
2023 |
English |
| A DAS-VSP Study Around the Geothermal Field of the Ohnuma Geothermal Power Plant in Northern Honshu, Japan |
Junzo KASAHARA, Yoko HASADA, Haruyasu KUZUME, Hitoshi MIKADA, and Yoshihiro FUJISE |
Geophysics |
DAS, imaging, seismic method, supercritical, geothermal field, VSP, DTS, |
Stanford Geothermal Workshop |
2021 |
English |
| Seismic Feasibility Study to Identify and Characterize Supercritical Geothermal Reservoirs Using DTS, DAS and Surface Seismic Array |
Junzo KASAHARA, Yoko HASADA, Haruyasu KUZUME, Yoshihiro FUJISE, Hitoshi MIKADA |
Geophysics |
DAS, imaging, seismic method, time-lapse,full-waveform inversion, feasibility study, P-to-S conversion |
World Geothermal Congress |
2020 |
English |
| Illuminating Geothermal Reservoir Structure: DAS Microseismic Reflection Imaging at Utah FORGE |
Yuanyuan MA, Jonathan AJO-FRANKLIN, Michal CHAMARCZUK, Jeremy PATTERSON, Rosie ZHU, Ismael VERA RODRIGUEZ, David PODRASKY, Thomas COLEMAN, Carlos MALDANER |
FORGE |
DAS, microseismic, fracture imaging |
Stanford Geothermal Workshop |
2025 |
English |
| Three Dimensional Seismic Explorations in Kijiyama Geothermal Field in Akita, Japan Using the DFOS (Distributed Fiber Optic Sensing) System in Four Geothermal Boreholes in 2022, 2024, and 2025 |
Junzo KASAHARA, Yoko HASADA, Masaru SUZUKI, Tomohiro TAKAHASHI, Hiroshi OHNUM, Hisashi TATSUNOKUCHI, Issei HIGASHI, Hiroki SAITOH, Yuki YAMAYURA, Yoshihiro FUJISE |
Geophysics |
DAS, Seismic survey, geothermal reservoirs, Vp structure, seismic reflection image, anisotropy |
Stanford Geothermal Workshop |
2026 |
English |
| Geoscience Australia |
A.r. Budd, E.j. Gerner, A.l. Kirkby, R.d. Weber, A.j. Meixner and D.c. Champion |
— |
data acquisition, modelling, Geothermal Play Systems |
Australian Geothermal Energy Conference |
2010 |
English |
| Geoscience Australia’s Onshore Energy Security Program: Geothermal Energy |
Budd, A.R., Gerner, E., Meixner, A.J., Kirkby, A.L., Weber, R. and Spring, J. |
— |
data acquisition, modelling, Geothermal Play Systems |
Australian Geothermal Energy Conference |
2011 |
English |
| Geothermal Data Mining -- Value in Antiques |
Roland N. Horne |
Keynote |
data analysis, nonparametric regression, wavelets |
New Zealand Geothermal Workshop |
2008 |
English |
| Understanding of Naturally Fractured Geothermal Reservoirs Using Data Assimilation |
Gabriel S. SEABRA, Stephan De HOOP, Denis VOSKOV, Femke C. VOSSEPOEL |
Reservoir Engineering |
data assimilation, naturally fractured reservoir, geomechanics, discrete fracture model |
Stanford Geothermal Workshop |
2023 |
English |
| The Value of Multidata Visualization in Geothermal Resource Assessment |
Kjartan MARTEINSSON, ValdÃs GUÃMUNDSDÓTTIR, Helga TULINIUS, Sigrún GUNNARSDÓTTIR |
Resource Assessment |
Data base, Iceland, integrated interpretation, VINNSLA, |
World Geothermal Congress |
2020 |
English |
| Reducing Data Center Peak Cooling Demand and Energy Costs with Underground Thermal Energy Storage (UTES) |
Jeffrey WINICK, Guangdong ZHU, Kevin KITZ, Andy ADAMS |
Emerging Technology |
Data Centers, Grid, AI, UTES, RTES, BTES, closed loop, VPP |
Stanford Geothermal Workshop |
2025 |
English |
| Application of Geothermal Power For Data/Comm Centers |
Martin Piszczalski |
28. Direct Use |
data centers, siting, industrial applications, transmission, data networks, Internet, stranded sites, markets, server farm, off grid, power industry |
World Geothermal Congress |
2010 |
English |
| A High Speed, High Temperature Datalink for Geothermal Applications |
Lindblom, Scott; Henfling J. A.; Macrae, Andrew; Yeung, Kevin; Baran, Kyle; Fong, Gregory; Qu, Johnson; McAuley, Tynan; Parks, James |
Well logging |
Data communications; high temperature electronics; high temperature logging tools; logging cable; well logging |
Geothermal Resources Council Transactions |
2011 |
English |
| Data Curation for Machine Learning Applied to Geothermal Power Plant Operational Data for GOOML: Geothermal Operational Optimization with Machine Learning |
Nicole TAVERNA, Grant BUSTER, Jay HUGGINS, Michael ROSSOL, Paul SIRATOVICH, Jon WEERS, Andrea BLAIR, Christine SIEGA, Warren MANNINGTON, Alex URGEL, Jonathan CEN, Jaime QUINAO, Robbie WATT, John AKERLEY |
General |
data curation, machine learning, data-centric AI, data pipeline, GOOML, power plant operations |
Stanford Geothermal Workshop |
2022 |
English |
| Data Fusion for Hydrothermal Reservoir Characterization Through Use of Bayesian Statistical Inference and MCMC Maximum Likelihood Models |
Cari D. COVELL, Ágúst VALFELLS, María S. GUDJONSDOTTIR, Hlynur STEFANSSON, Egill JULIUSSON, Halldór PALSSON, Birgir HRAFNKELSSON |
Reservoir Engineering |
data fusion, hydrothermal reservoir characterization, Bayesian statistical inference, Markov Chain Monte Carlo (MCMC), maximum likelihood |
Stanford Geothermal Workshop |
2017 |
English |
| The Integration Of Data Management And Geological Modelling In A Geothermal Subsurface Asset Team |
Hanton, Chris; Edwards, Alexander; Richardson, Ian; Williams, Brennan; O'Brien, Jeremy |
Reservoir modeling; Databases |
Data Management, Integration, Subsurface Modelling, Auditability, Consistency, Standardization, QA/QC |
Geothermal Resources Council Transactions |
2019 |
English |
| GEOSYS: An X/Motif-Based System for Analysis and Management of Geothermal Data |
Stevens, J. L.; Garg, S. K.; Luu, L.; Barker, T. G.; Pritchett, J. W.; Truesdell, A. H.; Quijano, Luis |
Software; Databases; Reservoir engineering |
Data Management; Computer Hardware and Software; Map Module; Cross Section; Well Module; Welllog Module; Production Module; Geosys |
Geothermal Resources Council Transactions |
1992 |
English |
| Assessing the Relation Between Petrophysical and Operational Parameters in Geothermal Wells: A Data Mining Approach |
Raj KIRAN, Saeed SALEHI, Well Construction Technology Center |
General |
data mining, dynamic, Petrophysical data, machine learning, drilling problems |
Stanford Geothermal Workshop |
2020 |
English |