| Convolutional neural network for seismic impedance inversion V Das, A Pollack, U Wollner, T Mukerji Geophysics 84 (6), R869-R880, 2019 | 390 | 2019 |
| Accounting for subsurface uncertainty in enhanced geothermal systems to make more robust techno-economic decisions A Pollack, T Mukerji Applied energy 254, 113666, 2019 | 41 | 2019 |
| What Are the Challenges in Developing Enhanced Geothermal Systems (EGS)? Observations from 64 EGS Sites A Pollack, R Horne, T Mukerji Proceedings World Geothermal Congress 2020, https://pangea.stanford.edu/ERE …, 2020 | 18 | 2020 |
| Effect of rock physics modeling in impedance inversion from seismic data using convolutional neural network V Das, A Pollack, U Wollner, T Mukerji The 13th SEGJ International Symposium, Tokyo, Japan, 12-14 November 2018 …, 2019 | 10 | 2019 |
| Convolutional neural network for seismic impedance inversion. Geophysics, 84, R869–R880 V Das, A Pollack, U Wollner, T Mukerji Preprint not peer reviewed, 2019 | 10 | 2019 |
| Stochastic inversion of gravity, magnetic, tracer, lithology, and fault data for geologically realistic structural models: Patua Geothermal Field case study A Pollack, TT Cladouhos, MW Swyer, D Siler, T Mukerji, RN Horne Geothermics 95, 102129, 2021 | 9 | 2021 |
| Convolutional neural network for seismic impedance inversion: 88th Annual International Meeting, SEG, Expanded Abstracts, 2071–2075, doi: 10.1190/segam2018-2994378.1 V Das, A Pollack, U Wollner, T Mukerji Abstract, 2018 | 9 | 2018 |
| Automated well-log correlation using descriptors A Pollack, Y Peng, W Kainan, S Ming-Kang, KH Tracy, JM Lomask US Patent 11,220,898, 2022 | 7 | 2022 |
| A spatial-statistical investigation of surface expressions associated with cyclic steaming in the Midway-Sunset Oil Field, California A Pollack, T Mukerji, P Fu, D Nelson, B Bartling, M Toland, A Lopez, ... Geomechanics and Geophysics for Geo-Energy and Geo-Resources 6, 1-23, 2020 | 5 | 2020 |
| Stochastic Structural Modeling of a Geothermal Field: Patua Geothermal Field Case Study A Pollack, TT Cladouhos, M Swyer, R Horne, T Mukerji Stanford Geothermal Workshop, 2020 | 5 | 2020 |
| Quantifying Geological Uncertainty and Optimizing Technoeconomic Decisions for Geothermal Reservoirs A Pollack Stanford University, 2020 | 2 | 2020 |
| Spatial statistical investigation of surface expressions in the midway sunset oil field A Pollack SPE Annual Technical Conference and Exhibition?, D023S099R002, 2018 | 2 | 2018 |
| Engineer Level Automated Interpretation of Geothermal Well Logs Using Convolutional Neural Networks R Okoroafor, A Pollack AGU Fall Meeting 2021, 2021 | 1 | 2021 |
| Optimization of Enhanced Geothermal Systems under Geological and Reservoir Stimulation Uncertainty A Pollack, T Mukerji GRC Trans 42, 2018 | 1 | 2018 |
| Stochastic Inversion of Gravity and Magnetic Data to Build Subsurface Geological Fault Models Using Evolution and Swarm Intelligence-Inspired Optimization Algorithms D Vashisth, A Pollack, T Mukerji, D Siler PROCEEDINGS, 48th Workshop on Geothermal Reservoir Engineering, 2023 | | 2023 |
| Correlating strata surfaces across well logs Y Peng, A Pollack, W Kainan, S Ming-Kang, KH Tracy, JM Lomask US Patent 11,409,016, 2022 | | 2022 |
| What Earth Properties and Engineering Decisions Most Influence the Productivity of an Enhanced Geothermal System? A Pollack, T Mukerji Energy Procedia 158, 6024-6029, 2019 | | 2019 |
| Characterization of an Enhanced Geothermal System Using Bayesian Evidential Learning A Pollack, H Wu, T Mukerji, P Fu AGU Fall Meeting Abstracts 2018, H11Q-1691, 2018 | | 2018 |
| Correlation of strata surfaces through well logs Y Peng, A Pollack, K Wang, MK Shih, K Hansel Tracy, J Mathias Lomask | | 2017 |
| Automatic Well Log Correlation A Pollack, Y Peng, K Wang, MKK Shih, K Tracy, J Lomask AAPG Annual Convention and Exhibition, 2017 | | 2017 |
