Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Akhil Datta-Gupta"'
Autor:
Donald Wyman Vasco, Akhil Datta-Gupta
This book introduces methodologies for subsurface imaging based upon asymptotic and trajectory-based methods for modeling fluid flow, transport and deformation. It describes trajectory-based imaging from its mathematical formulation, through the cons
Autor:
Srikanta Mishra, Akhil Datta-Gupta
Publikováno v:
Journal of Petroleum Technology. 75:10-15
_ The term “new energy economy” broadly refers to the transition to a low-carbon future for sustaining human development while reducing CO2 emissions. Such a shift is considered to be the third energy transition of the modern era, after the shift
Publikováno v:
SPE Journal. :1-14
Summary The fast marching method (FMM)-based rapid flow simulation has been shown to accelerate simulation efficiency by orders of magnitude by transforming 3D simulation to equivalent 1D simulation using the concept of the “diffusive time of fligh
Autor:
Ruxin Zhang, Ao Li, Hongquan Chen, Akhil Datta-Gupta, Ashish Chitale, Sunit Shekher, Ritesh Kumar, Joyjit Das
Publikováno v:
Day 4 Thu, May 25, 2023.
Field-scale simultaneous optimization of well rate and polymer concentration is challenging due to the geologic heterogeneity, large number of wells, and operational constraints. This paper proposes a multi-stage optimization strategy to achieve a mu
Publikováno v:
Day 1 Tue, March 28, 2023.
Routine well-wise injection/production data contain significant information which can be used for closed-loop reservoir management and rapid field decisions. Traditional physics-based numerical reservoir simulation can be computationally prohibitive
Autor:
Tsubasa Onishi, Shusei Tanaka, Hongquan Chen, Dongjae Kam, Jiang Xie, Zhiming Wang, Xian-huan Wen, Akhil Datta-Gupta
Publikováno v:
SPE Journal. 27:1943-1961
Summary Streamline-based methods have proven to be effective for various subsurface flow and transport modeling problems. However, the applications are limited in dual-porosity and dual-permeability (DPDK) system due to the difficulty in describing i
Publikováno v:
Machine Learning Applications in Subsurface Energy Resource Management ISBN: 9781003207009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::046af0e14dcb8076337c7a9eb4172e4f
https://doi.org/10.1201/9781003207009-16
https://doi.org/10.1201/9781003207009-16
Autor:
Ao Li, Hongquan Chen, Akhil Datta-gupta, Ashish Chitale, Sunit Shekher, Vivek Shankar, M Suresh Kumar, Abaan Ahmed, Joyjit Das, Ritesh Kumar
Publikováno v:
Day 2 Tue, October 04, 2022.
Mangala field (India) is one of the largest polymer flooding fields in the world with hundreds of wells and waxy crude oil. Field-scale optimization of polymer injection is challenging due to the geologic heterogeneity and operational constraints. Th
Publikováno v:
Day 2 Tue, October 04, 2022.
Geologic carbon dioxide (CO2) sequestration has received significant attention from the scientific community as a response to global warming due to greenhouse gas emission. Effective monitoring of CO2 plume is critical to CO2 storage safety throughou