| Reservoir properties prediction integrating controlled-source electromagnetic, prestack seismic, and well-log data using a rock-physics framework: Case study in the Hoop Area … P Alvarez, A Alvarez, L MacGregor, F Bolivar, R Keirstead, T Martin Interpretation 5 (2), SE43-SE60, 2017 | 23* | 2017 |
| Centimeter-Scale Lithology and Facies Prediction in Cored Wells using Machine Learning TP Martin, R Meyer, Z Jobe Frontiers in Earth Science 9, 491, 2021 | 22 | 2021 |
| Play Fairway analysis of geothermal resources across the State of Hawai ‘i: 4. Updates with new groundwater chemistry, subsurface stress analysis, and focused geophysical surveys N Lautze, G Ito, D Thomas, N Frazer, SJ Martel, N Hinz, D Tachera, G Hill, ... Geothermics 86, 101798, 2020 | 21 | 2020 |
| Advances in electromagnetic survey instrumentation and the use of a cased borehole for imaging a deep formations AD Hibbs, TR Petrov, J Pendleton, A Agundes, S Kouba, T Hall, D Boyle, ... 76th EAGE Conference and Exhibition-Workshops, cp-401-00120, 2014 | 12 | 2014 |
| Corebreakout: Subsurface core images to depth-registered datasets RG Meyer, TP Martin, ZR Jobe Journal of Open Source Software 5 (50), 1969, 2020 | 4 | 2020 |
| Improving a 2015 map of geothermal resource probability across the State of Hawaii N Lautze, D Thomas, R Whittier, S Martel, G Ito, N Frazer, G Hill, T Martin, ... Proceedings, 42nd Workshop on Geothermal Reservoir Engineering, Stanford …, 2017 | 2 | 2017 |
| Digitalization of Legacy Datasets and Machine Learning Regression Yields Insights for Reservoir Property Prediction and Submarine-Fan Evolution: A Subsurface Example from the … T Martin, J Tadla, Z Jobe The Sedimentary Record 20 (1), 2022 | 1 | 2022 |
| Automated Lithology Prediction From Core Images and Well Log Data Using Machine Learning Models: A Case Study From the Greater Schiehallion Area, West of Shetland, United Kingdom T Martin, R Meyer, Z Jobe 2019 AAPG Annual Convention and Exhibition:, 2019 | 1 | 2019 |
| Discriminating between commercial and residual hydrocarbon saturation integrating pre-stack seismic and CSEM P Alvarez, LM MacGregor, A Alvarez, F Bolivar, R Keirstead, T Martin 79th EAGE Conference and Exhibition 2017 2017 (1), 1-5, 2017 | 1 | 2017 |
| Mapping Porosity Structure Offshore Torrey Pines State Natural Reserve and Del Mar, California Using a Surface Towed EM System TP Martin University of California, San Diego, 2015 | 1 | 2015 |
| Adaptive Multi-Modal AI/ML Tool for Predicting Subsurface Properties MK Mark-Moser, K Rose, P Wingo, S Pantaleone, D Zaengle, J Shay, ... National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2022 | | 2022 |
| Making the Most of Data: Feature Engineering for Applied Supervised Machine Learning R Duran, AS Dyer, I Pfander, T Martin, C Okoli, K Rose, M Sabbatino, ... National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2022 | | 2022 |
| Application of 2-D Inversion, to Magnetotelluric data on the Newberry Caldera, Oregon, for Potential Geothermal Power TP Martin, A Schultz AGU Fall Meeting Abstracts 2012, V13C-2855, 2012 | | 2012 |
| Making the Most of Data: Feature Engineering for Applied Supervised Machine Learning T Martin | | |
| Automated Interpretation of Depositional Environments Using Measured Stratigraphic Sections and Machine-Learning Models Z Jobe, A Downard, T Martin, R Meyer 2019 AAPG Annual Convention and Exhibition:, 0 | | |
Zane R. JobeResearch Professor, Colorado School of MinesVerified email at mines.edu
