An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements

M Nagao, C Yao, T Onishi, H Chen… - International Journal of …, 2024 - Elsevier
Monitoring CO 2 plumes throughout the operation of geologic CO 2 sequestration projects is
essential to environmental safety. The evolution of underground CO 2 saturation can be …

Robust data-driven machine-learning models for subsurface applications: are we there yet?

S Mishra, J Schuetter, A Datta-Gupta… - Journal of Petroleum …, 2021 - onepetro.org
Algorithms are taking over the world, or so we are led to believe, given their growing
pervasiveness in multiple fields of human endeavor such as consumer marketing, finance …

Adapting Petroleum Reservoir Engineering Principles to Carbon Capture & Sequestration (CCS) and Hydrogen Underground Storage (HUS) Projects: Opportunities …

S Mishra, A Datta-Gupta - SPE Annual Technical Conference and …, 2022 - onepetro.org
Abstract Carbon Capture and Sequestration (CCS), which combines capture of CO2 from
large stationary sources with geological storage, has emerged as an attractive option for …

Chemical EOR under harsh conditions: Scleroglucan as a viable commercial solution

T Jensen, M Kadhum, B Kozlowicz… - SPE Improved Oil …, 2018 - onepetro.org
While synthetic polymer floods are being deployed in mild temperature and low salinity
fields, many oilfields (harsh conditions) remain inaccessible due to performance limitations …

An efficient deep learning-based workflow for CO2 plume imaging with distributed pressure and temperature measurements

M Nagao, C Yao, T Onishi, H Chen, A Datta-Gupta - SPE Journal, 2023 - onepetro.org
Geologic carbon dioxide (CO 2) sequestration has received significant attention from the
scientific community as a response to global warming due to greenhouse gas emissions …

Optimizing CO2- and Field-Gas-Injection EOR in Unconventional Reservoirs Using the Fast-Marching Method

A Iino, T Onishi, A Datta-Gupta - SPE Reservoir Evaluation & …, 2020 - onepetro.org
Recently, there has been an increasing interest in enhanced oil recovery (EOR) from shale‐
oil reservoirs, including injection of carbon dioxide (CO2) and field gas. For the performance …

Reservoir and fracture-flow characterization using novel diagnostic plots

X Xue, C Yang, J Park, VK Sharma, A Datta-Gupta… - SPE Journal, 2019 - onepetro.org
Multistage hydraulically fractured horizontal wells provide an effective means to exploit
unconventional reservoirs. The current industry practice in the interpretation of field …

Hybrid physics and data-driven modeling for unconventional field development and its application to US onshore basin

J Park, A Datta-Gupta, A Singh, S Sankaran - Journal of Petroleum Science …, 2021 - Elsevier
The objective of this study is to develop a hybrid model by combining physics and data-
driven approach for optimum unconventional field development. We used physics-based …

Modeling hydraulically fractured shale wells using the fast-marching method with local grid refinements and an embedded discrete fracture model

X Xue, C Yang, T Onishi, MJ King, A Datta–Gupta - SPE Journal, 2019 - onepetro.org
Summary Recently, fast–marching–method (FMM)–based flow simulation has shown great
promise for rapid modeling of unconventional oil and gas reservoirs. Currently, the …

Computing pressure front propagation using the diffusive-time-of-flight in structured and unstructured grid systems via the fast-marching Method

H Chen, T Onishi, J Park, A Datta-Gupta - SPE Journal, 2021 - onepetro.org
Summary Diffusive-time-of-flight (DTOF), representing the travel time of pressure front
propagation, has found many applications in unconventional reservoir performance …