Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II
A Samnioti, V Gaganis - Energies, 2023 - mdpi.com
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …
with numerous applications which guide engineers in better decision making. The most …
A review of proxy modeling applications in numerical reservoir simulation
AK Jaber, SN Al-Jawad, AK Alhuraishawy - Arabian Journal of …, 2019 - Springer
The applications of numerical simulation modeling such as assisted history matching,
production optimization, and reservoir performance forecasting usually lead to significant …
production optimization, and reservoir performance forecasting usually lead to significant …
[图书][B] Shale analytics
SD Mohaghegh, SD Mohaghegh - 2017 - Springer
Shale Analytics | SpringerLink Skip to main content Advertisement SpringerLink Account Menu
Find a journal Publish with us Track your research Search Cart Book cover Shale Analytics pp …
Find a journal Publish with us Track your research Search Cart Book cover Shale Analytics pp …
Coupling numerical simulation and machine learning to model shale gas production at different time resolutions
A Kalantari-Dahaghi, S Mohaghegh… - Journal of Natural Gas …, 2015 - Elsevier
Reservoir simulation is the most robust tool for simulating gas production from the
desorption controlled and hydraulically fractured shale reservoir. Incorporation of the …
desorption controlled and hydraulically fractured shale reservoir. Incorporation of the …
Factors that control condensate production from shales: surrogate reservoir models and uncertainty analysis
Rapid development of shales for the production of oils and condensates may not be
permitting adequate analysis of the important factors governing recovery. Understanding the …
permitting adequate analysis of the important factors governing recovery. Understanding the …
[图书][B] Data-driven analytics for the geological storage of CO2
S Mohaghegh - 2018 - books.google.com
Data-driven analytics is enjoying unprecedented popularity among oil and gas
professionals. Many reservoir engineering problems associated with geological storage of …
professionals. Many reservoir engineering problems associated with geological storage of …
Least square support vector machine: an emerging tool for data analysis
Abstract Development of high speed computing leads to major advancements in every field
of science and engineering. Artificial intelligence (AI) method is emerging as new modern …
of science and engineering. Artificial intelligence (AI) method is emerging as new modern …
Data-driven proxy at hydraulic fracture cluster level: a technique for efficient CO2-enhanced gas recovery and storage assessment in shale reservoir
A Kalantari-Dahaghi, S Mohaghegh… - Journal of Natural Gas …, 2015 - Elsevier
The continuing development of the organic-rich and extremely low permeability shale
reservoirs in the United States has the potential to positively impact the future of carbon …
reservoirs in the United States has the potential to positively impact the future of carbon …
Using differential evolution for compositional history-matching of a tight gas condensate well in the Montney Formation in western Canada
Production data analysis for low-permeability unconventional reservoirs is a challenging
task, particularly for cases where multi-phase flow occurs within the reservoir. Analytical …
task, particularly for cases where multi-phase flow occurs within the reservoir. Analytical …
Understanding and modeling of gas-condensate flow in porous media
Well deliverability impairment due to liquid dropout inside gas-condensate reservoirs below
dew-point pressure is a common production problem. The operating conditions and the …
dew-point pressure is a common production problem. The operating conditions and the …