Faculty

Institution

Unit

Venue

Sanjay Srinivasan

Professor

Pennsylvania State University

Sanjay Srinivasan is currently serving as a Professor at Pennsylvania State University.

Honors

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Experiences

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Education

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Sanjay Srinivasan

Pennsylvania State University

Professor

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earth science engineering materials science environmental engineering reservoir engineering machine learning petroleum engineering geology geophysics seismology petroleum science thermal engineering data integration reservoir models model selection greenhouse gas control atmospheric research data assimilation reservoir modeling heat transfer fluid dynamics geophysical research energy research aerosol science geological modeling hydraulic fracturing injection data natural fracture networks engineering optimization water science reservoir management porous media geologic models fracture networks heterogeneous reservoirs steam-assisted gravity drainage geothermal energy thermal analysis earth observation mass transfer thermal modeling exploration geophysics earth observation data statistical scale-up thin bed resolution stochastic models big data analytics thermodynamic phase changes reservoir heterogeneity surface deformation gravity drainage mechanical science geophysical prospecting mathematical optimization applied geochemistry engineering geology atmospheric environment experimental analysis learning to rank ranking algorithms robust optimization face detection pattern matching energy engineering thermal processing thermal management thermal conductivity estimation theory production forecasting exploration geology chemical thermodynamics hydrological sciences energy optimization continual improvement process test data generation applied geophysics improved management numerical modeling (geology) civil engineering geomechanics petroleum geoscience

Notable Scholarly Works

Notable Federal Grants

Collaborators

Application of Reinforcement Learning for Well Location Optimization. Springer proceedings in earth and environmental sciences (2023)

Kshitij DawarSanjay SrinivasanMort D. Webster

environmental engineeringreinforcement learningearth scienceapplied mathematics

Framework of Fracture Network Modeling Using Conditioned Data With Sequential Gaussian Simulation. Arabian Journal of Geosciences (2023)

Yerlan AmanbekTimur MerembayevSanjay Srinivasan

materials scienceplanetary sciencesgeophysicssequential gaussian simulationearth science

Geometric and Geostatistical Modeling of Point Bars. Springer proceedings in earth and environmental sciences (2023)

Ismael DawudaSanjay Srinivasan

geostatistical modelinggeometryenvironmental scienceearth sciencegeometric modeling

Integration of Seismic-Pressure-Petrophysics Inversion of Continuous Active-Seismic Monitoring Data for Monitoring and Quantifying Co Sub 2 /Sub Plume (Final Report). (2023)

Tieyuan ZhuEugene MorganSanjay SrinivasanJonathan Ajo-FranklinAlex Sun

earth observation dataseismologyenvironmental monitoringearth scienceseismic-pressure-petrophysics inversion

Modeling Natural Fracture Networks and Data Assimilation Using Multipoint Geostatistics and Machine Learning-Based Geomechanical Inferences. Developments in structural geology and tectonics (2023)

Akshat ChandnaSanjay Srinivasan

natural fracture networksgeomechanicsmultipoint geostatisticsstructural geologyearth sciencedata assimilationmachine learning

Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks. Mathematical Geosciences (2023)

Akshat ChandnaSanjay Srinivasan

probabilistic integrationnatural fracture networksgeomechanicsearth sciencegeostatistical inferences

A Hierarchical Stochastic Modeling Approach for Representing Point Bar Geometries and Petrophysical Property Variations. Computers & Geosciences (2022)

Dawuda, IsmaelSrinivasan, Sanjay

planetary sciencesmachine learningpoint bar geometriesearth sciencecomputer sciencepetrophysical property variations

Bayesian Averaging Sensitivity Analysis of Reservoir Heterogeneity and Anisotropy of Carbon Dioxide Assisted Gravity Drainage of a Large Clastic Oil Reservoir. Fuel (2022)

Watheq J. Al-MudhafarDandina N. RaoSanjay SrinivasanDavid A. Wood

petroleum engineeringcarbon dioxidepetroleum sciencereservoir heterogeneitybayesian analysisstatisticsreservoir engineeringgravity drainage

Geologic Modeling and Ensemble-Based History Matching for Evaluating Co2 Sequestration Potential in Point Bar Reservoirs. Frontiers in Energy Research (2022)

Ismael DawudaSanjay Srinivasan

ensemble-based historypoint bar reservoirsgeological modelingenergy researchenvironmental sciencegeologic modeling

Mapping Natural Fracture Networks Using Geomechanical Inferences From Machine Learning Approaches. Computational Geosciences (2022)

Akshat ChandnaSanjay Srinivasan

materials scienceplanetary sciencesengineering geologynatural fracture networksgeomechanicsgeomechanical inferencesearth sciencemachine learninghydraulic fracturing

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Sanjay Srinivasan

Professor

Pennsylvania State University

Sanjay Srinivasan is currently serving as a Professor at Pennsylvania State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sanjay Srinivasan

Pennsylvania State University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Application of Reinforcement Learning for Well Location Optimization. Springer proceedings in earth and environmental sciences (2023)

Kshitij DawarSanjay SrinivasanMort D. Webster

environmental engineeringreinforcement learningearth scienceapplied mathematics

Framework of Fracture Network Modeling Using Conditioned Data With Sequential Gaussian Simulation. Arabian Journal of Geosciences (2023)

Yerlan AmanbekTimur MerembayevSanjay Srinivasan

materials scienceplanetary sciencesgeophysicssequential gaussian simulationearth science

Geometric and Geostatistical Modeling of Point Bars. Springer proceedings in earth and environmental sciences (2023)

Ismael DawudaSanjay Srinivasan

geostatistical modelinggeometryenvironmental scienceearth sciencegeometric modeling

Integration of Seismic-Pressure-Petrophysics Inversion of Continuous Active-Seismic Monitoring Data for Monitoring and Quantifying Co Sub 2 /Sub Plume (Final Report). (2023)

Tieyuan ZhuEugene MorganSanjay SrinivasanJonathan Ajo-FranklinAlex Sun

earth observation dataseismologyenvironmental monitoringearth scienceseismic-pressure-petrophysics inversion

Modeling Natural Fracture Networks and Data Assimilation Using Multipoint Geostatistics and Machine Learning-Based Geomechanical Inferences. Developments in structural geology and tectonics (2023)

Akshat ChandnaSanjay Srinivasan

natural fracture networksgeomechanicsmultipoint geostatisticsstructural geologyearth sciencedata assimilationmachine learning

Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks. Mathematical Geosciences (2023)

Akshat ChandnaSanjay Srinivasan

probabilistic integrationnatural fracture networksgeomechanicsearth sciencegeostatistical inferences

A Hierarchical Stochastic Modeling Approach for Representing Point Bar Geometries and Petrophysical Property Variations. Computers & Geosciences (2022)

Dawuda, IsmaelSrinivasan, Sanjay

planetary sciencesmachine learningpoint bar geometriesearth sciencecomputer sciencepetrophysical property variations

Bayesian Averaging Sensitivity Analysis of Reservoir Heterogeneity and Anisotropy of Carbon Dioxide Assisted Gravity Drainage of a Large Clastic Oil Reservoir. Fuel (2022)

Watheq J. Al-MudhafarDandina N. RaoSanjay SrinivasanDavid A. Wood

petroleum engineeringcarbon dioxidepetroleum sciencereservoir heterogeneitybayesian analysisstatisticsreservoir engineeringgravity drainage

Geologic Modeling and Ensemble-Based History Matching for Evaluating Co2 Sequestration Potential in Point Bar Reservoirs. Frontiers in Energy Research (2022)

Ismael DawudaSanjay Srinivasan

ensemble-based historypoint bar reservoirsgeological modelingenergy researchenvironmental sciencegeologic modeling

Mapping Natural Fracture Networks Using Geomechanical Inferences From Machine Learning Approaches. Computational Geosciences (2022)

Akshat ChandnaSanjay Srinivasan

materials scienceplanetary sciencesengineering geologynatural fracture networksgeomechanicsgeomechanical inferencesearth sciencemachine learninghydraulic fracturing

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13
10 / page

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Similar Faculty Members

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Institution

University of Southern California

environmental engineering

hydrogeology

Pejman Tahmasebi

Institution

Colorado School of Mines

fluid flow

rock engineering

Guan Qin

Institution

University of Houston

computational geochemistry

reservoir modeling

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reservoir modeling

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University of Texas at Austin

natural resource extraction

petroleum geoscience

John McLennan

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University of Utah

ore exploration

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University of Arizona

hydrogeology

geological porous materials

Masa Prodanovic

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environmental engineering

reservoir modeling

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Institution

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fluid flow

hydrogeology

Marc A Hesse

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reactive transport

computational geochemistry