| Chemical effects of carbon dioxide sequestration in the Upper Morrow Sandstone in the Farnsworth, Texas, hydrocarbon unit B Ahmmed, MS Appold, T Fan, BJOL McPherson, RB Grigg, MD White Environmental Geosciences 23 (2), 81-93, 2016 | 35 | 2016 |
| Machine learning to identify geologic factors associated with production in geothermal fields: A case-study using 3D geologic data, Brady geothermal field, Nevada DL Siler, JD Pepin, VV Vesselinov, MK Mudunuru, B Ahmmed Geothermal Energy 9, 1-17, 2021 | 25 | 2021 |
| Discovering signatures of hidden geothermal resources based on unsupervised learning VV Vesselinov, MK Mudunuru, B Ahmmed, S Karra, RS Middleton Proceedings, forty-fifth workshop on geothermal reservoir engineering …, 2020 | 20 | 2020 |
| Hydrological perspectives on integrated, coordinated, open, networked (ICON) science BS Acharya, B Ahmmed, Y Chen, JH Davison, L Haygood, RT Hensley, ... Earth and Space Science 9 (4), e2022EA002320, 2022 | 14 | 2022 |
| Prospectivity analyses of the Utah FORGE Site using unsupervised machine learning B Ahmmed, VV Vesselinov Geothermal Rising, San Diego, CA, 2021 | 13 | 2021 |
| A comparative study of machine learning models for predicting the state of reactive mixing B Ahmmed, MK Mudunuru, S Karra, SC James, VV Vesselinov Journal of Computational Physics 432, 110147, 2021 | 13 | 2021 |
| Unsupervised machine learning to extract dominant geothermal attributes in Hawaii Island Play Fairway data B Ahmmed, N Lautze, VV Vesselinov, D Dores, MK Mudunuru Geotherm Resour Council Trans. 2020a 44, 1282, 2020 | 12 | 2020 |
| Machine learning to discover mineral trapping signatures due to CO2 injection B Ahmmed, S Karra, VV Vesselinov, MK Mudunuru International Journal of Greenhouse Gas Control 109, 103382, 2021 | 11 | 2021 |
| Numerical modeling of CO2-water-rock interactions in the Farnsworth B Ahmmed Texas hydrocarbon unit, USA: Master’s thesis, University of Missouri—Columbia, 2015 | 11 | 2015 |
| Numerical modeling of CO2-water-rock interactions in the Farnsworth, Texas hydrocarbon unit, USA B Ahmmed University of Missouri--Columbia, 2015 | 11 | 2015 |
| Machine learning and shallow groundwater chemistry to identify geothermal prospects in the Great Basin, USA B Ahmmed, VV Vesselinov Renewable Energy 197, 1034-1048, 2022 | 9 | 2022 |
| AdjointNet: Constraining machine learning models with physics-based codes S Karra, B Ahmmed, MK Mudunuru arXiv preprint arXiv:2109.03956, 2021 | 7 | 2021 |
| Geochemical characteristics of low-, medium-, and hot-temperature geothermal resources of the Great Basin, USA B Ahmmed, VV Vesselinov, MM Mudunuru, RS Middleton, S Karra Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2020 | 7 | 2020 |
| Hidden geothermal signatures of the southwest New Mexico VV Vesselinov, B Ahmmed, MM Mudunuru, S Karra, RS Middleton Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2020 | 7 | 2020 |
| Unsupervised machine learning to discover attributes that characterize low, moderate, and high-temperature geothermal resources V Vesselinov, B Ahmmed, MK Mudunuru Geotherm Resour Council Trans. 2020a 44, 1363, 2020 | 6 | 2020 |
| Site-scale and regional-scale modeling for geothermal resource analysis and exploration MK Mudunuru, B Ahmmed, S Karra, VV Vesselinov, DR Livingston, ... Proc. of 45th Workshop on Geothermal Reservoir Engineering, Stanford, CA, 2020 | 5 | 2020 |
| Machine learning to characterize regional geothermal reservoirs in the western USA. Fall Conference, Geological Society of America, Abstract T185-358249 B Ahmmed, V Vesselinov, M MK October, 2020 | 5 | 2020 |
| Non-negative matrix factorization to discover dominant attributes in Utah FORGE Data. Geothermal Resources Council, Reno, NV B Ahmmed, V Vesselinov, M MK October, 2020 | 5 | 2020 |
| S., K., and RS, M.(2020b). Discovering signatures of hidden geothermal resources based on unsupervised learning V Vesselinov, M Mudunuru, B Ahmmed 45th Annual Stanford Geothermal Workshop, 85-104, 0 | 5 | |
| Machine learning for geothermal resource exploration in the Tularosa Basin, New Mexico MK Mudunuru, B Ahmmed, E Rau, VV Vesselinov, S Karra Energies 16 (7), 3098, 2023 | 4 | 2023 |
Maruti Kumar MudunuruPacific Northwest National Laboratoryכתובת אימייל מאומתת בדומיין pnnl.gov
