[HTML][HTML] A review of the application of data-driven technology in shale gas production evaluation
W Niu, J Lu, Y Sun, H Liu, X Cao, H Zhan, J Zhang - Energy Reports, 2023 - Elsevier
Shale gas, as an important unconventional natural gas resource, is the main force to
increase natural gas reserves and production in the future. For shale gas with huge …
increase natural gas reserves and production in the future. For shale gas with huge …
Application of proxy-based MCMC and EDFM to history match a Vaca Muerta shale oil well
S Dachanuwattana, J Jin, P Zuloaga-Molero, X Li, Y Xu… - Fuel, 2018 - Elsevier
Embedding complex discrete fractures in reservoir simulation is required to attain more
realistic flow behavior of shale reservoirs. However, using local grid refinement to model …
realistic flow behavior of shale reservoirs. However, using local grid refinement to model …
Uncertainty quantification and value of information assessment using proxies and Markov chain Monte Carlo method for a pilot project
A pilot project is a crucial step of reservoir management that enables the minimization of
subsurface risks and improves the quality of decisions on full-field development. Selecting a …
subsurface risks and improves the quality of decisions on full-field development. Selecting a …
An iterative response-surface methodology by use of high-degree-polynomial proxy models for integrated history matching and probabilistic forecasting applied to …
Response-surface methodology (RSM) has been widely used in the petroleum industry as
an assistive tool for numerical-reservoir-simulation studies. Instead of generating simulation …
an assistive tool for numerical-reservoir-simulation studies. Instead of generating simulation …
Application of assisted history matching workflow to shale gas well using EDFM and neural network-Markov Chain Monte Carlo algorithm
Production data which is always available at no additional cost can give an invaluable
information of fracture geometry and reservoir properties. However, in unconventional …
information of fracture geometry and reservoir properties. However, in unconventional …
AI based mechanistic modeling and probabilistic forecasting of hybrid low salinity chemical flooding
Over the past decades, it has been widely shown that Low Salinity Waterflooding (LSW)
outperformed High Salinity Waterflooding (HSW) in terms of higher oil recovery, particularly …
outperformed High Salinity Waterflooding (HSW) in terms of higher oil recovery, particularly …
A practical and efficient iterative history matching workflow for shale gas well coupling multiple objective functions, multiple proxy-based MCMC and EDFM
A manual history matching is a time-consuming process and too risky for an investment
decision because it cannot capture the uncertainty of subsurface information and production …
decision because it cannot capture the uncertainty of subsurface information and production …
Performance assessment of CO2-enhanced oil recovery and storage in the Morrow reservoir
This paper presents a performance assessment methodology for CO 2 enhanced oil
recovery (EOR) in partially depleted reservoirs. A three dimensional heterogeneous …
recovery (EOR) in partially depleted reservoirs. A three dimensional heterogeneous …
A new probabilistic approach for uncertainty quantification in well performance of shale gas reservoirs
Over the past decade, technological advancements in horizontal drilling and multistage
fracturing enable natural gas to be economically produced from tight shale formations …
fracturing enable natural gas to be economically produced from tight shale formations …
Application of proxy-based MCMC and EDFM to history match a shale gas condensate well
S Dachanuwattana, Z Xia, W Yu, L Qu, P Wang… - Journal of Petroleum …, 2018 - Elsevier
History matching is an important process for uncertainty quantification of reservoir
performance. Hundreds of reservoir simulation cases, or more, are typically required to …
performance. Hundreds of reservoir simulation cases, or more, are typically required to …