A Physics-Based Proxy for Surface and Subsurface Coupled Simulation ModelsYang, C., He, J., Onishi, T., Du, S., Wang, Z., Guan, X., Chen, J., and Wen, X.-H.2022Journal Article Peer-ReviewedSPE Journal 27, pp. 1962–1972Abstract ▾DOI: 10.2118/204004-paCite
An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging Considering Model Uncertainties Using Distributed Pressure and Temperature MeasurementsNagao, M., Yao, C., Onishi, T., Chen, H., Datta-Gupta, A., and Mishra, S.2022Journal Article Peer-ReviewedSSRN Electronic JournalAbstract ▾DOI: 10.2139/ssrn.4280048Cite
Streamline Tracing and Applications in Dual-Porosity Dual-Permeability ModelsOnishi, T., Tanaka, S., Chen, H., Kam, D., Xie, J., Wang, Z., Wen, X.-H., and Datta-Gupta, A.2022Journal Article Peer-ReviewedSPE Journal 27, pp. 1943–1961Abstract ▾DOI: 10.2118/203993-paCite
Computing Pressure Front Propagation Using the Diffusive-Time-of-Flight in Structured and Unstructured Grid Systems via the Fast-Marching MethodChen, H., Onishi, T., Park, J., and Datta-Gupta, A.2021Journal Article Peer-ReviewedSPE Journal 26, pp. 1366–1386Abstract ▾DOI: 10.2118/201771-paCite
Evaluation of Relationship Between Post-injection Plume Stability and Leakage RisksPawar, R. J., Chu, S., Makedonska, N., Onishi, T., and Harp, D. R.2021Journal Article Peer-ReviewedSSRN Electronic JournalAbstract ▾DOI: 10.2139/ssrn.3820715Cite
Parameterization of embedded discrete fracture models (EDFM) for efficient history matching of fractured reservoirsKim, H., Onishi, T., Chen, H., and Datta-Gupta, A.2021Journal Article Peer-ReviewedJournal of Petroleum Science and Engineering 204, pp. 108681–108681DOI: 10.1016/j.petrol.2021.108681Cite
Assessment of relationship between post-injection plume migration and leakage risks at geologic CO2 storage sitesPawar, R. J., Chu, S., Makedonska, N., Onishi, T., and Harp, D. R.2020Journal Article Peer-ReviewedInternational Journal of Greenhouse Gas Control 101, pp. 103138–103138Abstract ▾DOI: 10.1016/j.ijggc.2020.103138Cite
Streamline tracing and applications in embedded discrete fracture modelsChen, H., Onishi, T., Olalotiti-Lawal, F., and Datta-Gupta, A.2020Journal Article Peer-ReviewedJournal of Petroleum Science and Engineering 188, pp. 106865–106865Abstract ▾DOI: 10.1016/j.petrol.2019.106865Cite
Development of quantitative metrics of plume migration at geologic CO₂ storage sitesHarp, D. R., Onishi, T., Chu, S., Chen, B., and Pawar, R. J.2019Journal Article Peer-ReviewedGreenhouse Gases: Science and Technology 9, pp. 687–702Abstract ▾DOI: 10.1002/ghg.1903Cite
Modeling Hydraulically Fractured Shale Wells Using the Fast-Marching Method With Local Grid Refinements and an Embedded Discrete Fracture ModelXue, X., Yang, C., Onishi, T., King, M. J., and Datta-Gupta, A.2019Journal Article Peer-ReviewedSPE Journal 24, pp. 2590–2608Abstract ▾DOI: 10.2118/193822-paCite
Optimizing CO2- and Field-Gas-Injection EOR in Unconventional Reservoirs Using the Fast-Marching MethodIino, A., Onishi, T., and Datta-Gupta, A.2019Journal Article Peer-ReviewedSPE Reservoir Evaluation & Engineering 23, pp. 261–281Abstract ▾DOI: 10.2118/190304-paCite
Post-Combustion Carbon Dioxide Enhanced-Oil-Recovery Development in a Mature Oil Field: Model Calibration Using a Hierarchical ApproachOlalotiti-Lawal, F., Onishi, T., Kim, H., Datta-Gupta, A., Fujita, Y., and Hagiwara, K.2019Journal Article Peer-ReviewedSPE Reservoir Evaluation & Engineering 22, pp. 998–1014Abstract ▾DOI: 10.2118/187116-paCite
Potential CO2 and brine leakage through wellbore pathways for geologic CO2 sequestration using the National Risk Assessment Partnership tools: Application to the Big Sky Regional PartnershipOnishi, T., Nguyen, M. C., Carey, J. W., Will, B., Zaluski, W., Bowen, D. W., Devault, B. C., Duguid, A., Zhou, Q., Fairweather, S. H., Spangler, L. H., and Stauffer, P. H.2019Journal Article Peer-ReviewedInternational Journal of Greenhouse Gas Control 81, pp. 44–65Abstract ▾DOI: 10.1016/j.ijggc.2018.12.002Cite
A Fast History Matching and Optimization Tool and its Application to a Full Field with More than 1,000 WellsRen, G., Wang, Z., Lin, Y., Onishi, T., Guan, X., and Wen, X.-H.2023Presentation Peer-ReviewedSPE Reservoir Simulation ConferenceAbstract ▾DOI: 10.2118/212188-msCite
Reservoir Connectivity Identification and Robust Production Forecasting Using Physics Informed Machine LearningNagao, M., Datta-Gupta, A., Onishi, T., and Sankaran, S.2023Presentation Peer-ReviewedSPE Reservoir Simulation ConferenceAbstract ▾DOI: 10.2118/212201-msCite
An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging Using Distributed Pressure and Temperature MeasurementsNagao, M., Yao, C., Onishi, T., Chen, H., and Datta-Gupta, A.2022Presentation Peer-ReviewedSPE Annual Technical Conference and ExhibitionAbstract ▾DOI: 10.2118/210309-msCite
An Efficient Deep Learning-Based Workflow Incorporating a Reduced Physics Model for Subsurface Imaging in Unconventional ReservoirsOnishi, T., Chen, H., Datta-Gupta, A., and Mishra, S.2021Presentation Peer-ReviewedSPE Annual Technical Conference and ExhibitionAbstract ▾DOI: 10.2118/206065-msCite
Robust CO2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature MeasurementsYao, C., Chen, H., Onishi, T., Datta-Gupta, A., Mawalkar, S., Mishra, S., and Pasumarti, A.2021Presentation Peer-ReviewedSPE Annual Technical Conference and ExhibitionAbstract ▾DOI: 10.2118/206249-msCite
Application of Combined Streamline Based Reduced-Physics Surrogate and Response Surface Method for Field Development OptimizationTanaka, S., Onishi, T., Kam, D., Dehghani, K., and Wen, X.-H.2020Presentation Peer-ReviewedInternational Petroleum Technology ConferenceAbstract ▾DOI: 10.2523/iptc-19958-msCite
Rapid Simulation Accounting for Well Interference in Unconventional Reservoirs using Fast Marching MethodIino, A., Jung, H. Y., Onishi, T., and Datta-Gupta, A.2020Presentation Peer-ReviewedProceedings of the 8th Unconventional Resources Technology ConferenceDOI: 10.15530/urtec-2020-2468Cite
Numerical Simulation of EOR from Wettability Alteration in Tight Oil Reservoir with Multiple Hydraulic FracturesJung, H. Y., Onishi, T., and Datta-Gupta, A.2018Presentation Peer-ReviewedSPE Annual Technical Conference and ExhibitionAbstract ▾DOI: 10.2118/191409-msCite
Rapid Field-Scale Well Spacing Optimization in Tight and Shale Oil Reservoirs Using Fast Marching MethodIino, A., Onishi, T., Olalotiti-Lawal, F., and Datta-Gupta, A.2018Presentation Peer-ReviewedProceedings of the 6th Unconventional Resources Technology ConferenceDOI: 10.15530/urtec-2018-2901376Cite
Development of Two Geostatistical Programs: Program-1 for Estimating Categorical Variable Distribution by Multiple-Point Statistics; Program-2 for Optimizing Estimates by Program-1 Applying Genetic AlgorithmAoi, E., Onishi, T., and Kurihara, M.2015Presentation Peer-ReviewedTalk (Contributed) at SPWLA 21st Formation Evaluation Symposium of Japan URLCite
Fast Marching Method Based Rapid Simulation Accounting for GravityOnishi, T., Iino, A., Jung, H. Y., and Datta-Gupta, A.2019PresentationProceedings of the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology ConferenceDOI: 10.15530/ap-urtec-2019-198249Cite
Quantitative risk assessment of geologic CO2 storage using plume mobility metricsPawar, R. J., Chen, B., Chu, S., Onishi, T., Makedonska, N., and Harp, D. R.2019PresentationTalk (Contributed) at AGU Fall Meeting URLCite
Effective Reservoir Management for Unconventional Reservoirs Using the Fast Marching Method and Machine LearningOnishi, T.2021PhD Thesis Peer-ReviewedPhD Thesis, Texas A&M University URLCite
Effective Modeling Approaches for CO2 EOR DevelopmentsOnishi, T.2017Master's Thesis Peer-ReviewedMSc Thesis, Texas A&M University URLCite
Imaging Pressure Front Propagation in Complex Fracture Networks Using the Fast Marching Method and Diffusive Time of FlightDatta-Gupta, A., Chen, H., and Onishi, T.2020Other URLCite
