Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Huanquan Pan"'
Autor:
Huanquan PAN, Jianqiao LIU, Bin GONG, Yiheng ZHU, Junhui BAI, Hu HUANG, Zhengbao FANG, Hongbin JING, Chen LIU, Tie KUANG, Yubo LAN, Tianzhi WANG, Tian XIE, Mingzhe CHENG, Bin QIN, Yujiang SHEN
Publikováno v:
Petroleum Exploration and Development, Vol 51, Iss 5, Pp 1357-1366 (2024)
A large language model (LLM) is constructed to address the sophisticated demands of data retrieval and analysis, detailed well profiling, computation of key technical indicators, and the solutions to complex problems in reservoir performance analysis
Externí odkaz:
https://doaj.org/article/60472ade71774d6d96b3357a3fc031b3
Publikováno v:
Energies, Vol 16, Iss 9, p 3765 (2023)
Predicting multiphase flow in complex fractured reservoirs is essential for developing unconventional resources, such as shale gas and oil. Traditional numerical methods are computationally expensive, and deep learning methods, as an alternative appr
Externí odkaz:
https://doaj.org/article/c5834b2491144cc6b10291912254d986
Autor:
Jiamin Jiang, Huanquan Pan
Publikováno v:
SPE Journal. 27:1989-2014
Summary In reservoir simulation of complex recovery processes, solving nonlinear equation system arising from the fully implicit method (FIM) poses a significant challenge. The Courant-Friedrichs-Lewy (CFL) conditions can span orders of magnitude in
Publikováno v:
Day 2 Wed, March 29, 2023.
The thermodynamic behavior of a fluid in a tight reservoir differs from that in the conventional environment. A new phase equilibrium algorithm with capillary pressure is presented and formulated using the laws of thermodynamics. At a given temperatu
New Fast Simulation of 4D (x, y, z, t) CO2 EOR by Fourier Neural Operator Based Deep Learning Method
Publikováno v:
Day 1 Tue, March 28, 2023.
The training speed is slow for the convolutional neural network (CNN)-based physics-informed neural network (PINN) in surrogate models and it is difficult to be applied to large-scale engineering problems. The Fourier Neural Operator (FNO) network ca
Autor:
Jiamin Jiang, Huanquan Pan
Publikováno v:
Journal of Computational Physics. 479:112006
Publikováno v:
Fluid Phase Equilibria. 497:151-163
Carbon dioxide (CO2) flooding has been widely applied to enhance oil recovery. In low temperature reservoirs, CO2 injection may result in the formation of three hydrocarbon phases at thermodynamic equilibrium. In addition, an aqueous phase is always
Three-Phase Equilibrium Computations for Hydrocarbon–Water Mixtures Using a Reduced Variables Method
Publikováno v:
Industrial & Engineering Chemistry Research. 58:14954-14974
Thermal compositional simulation requires phase-equilibrium calculations for at least three fluid phases. The use of precomputed equilibrium ratios (K-values) has long been justified on the basis o...
Publikováno v:
Industrial & Engineering Chemistry Research. 58:2052-2070
CO2 injection into an oil reservoir at low temperature can lead to the formation of three hydrocarbon phases. Key challenges persist in the development of phase equilibrium calculations for three-p...
Publikováno v:
Industrial & Engineering Chemistry Research. 59:3290-3291