A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization
Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …
reservoirs for maximum energy supply or economic benefits, reservoir production …
A holistic review on artificial intelligence techniques for well placement optimization problem
Well placement optimization is one of the major challenging factors in the field development
process of oil and gas industry. The objective function of well placement optimization is …
process of oil and gas industry. The objective function of well placement optimization is …
Data-driven machine learning approach to predict mineralogy of organic-rich shales: An example from Qusaiba Shale, Rub'al Khali Basin, Saudi Arabia
Abstract The Qusaiba Shale is a proven source rock for the Palaeozoic petroleum system of
the middle east and it is targeted as a potential source of unconventional shale gas potential …
the middle east and it is targeted as a potential source of unconventional shale gas potential …
Data-driven modeling approach to predict the recovery performance of low-salinity waterfloods
Low-salinity waterflooding (LSWF) has, in the past decade, attained a lot of attention to
enhance oil recovery. In LSWF, diluted water is injected into an oil reservoir to improve oil …
enhance oil recovery. In LSWF, diluted water is injected into an oil reservoir to improve oil …
Shale brittleness prediction using machine learning—A Middle East basin case study
Brittleness index (BI) of rocks can help target the most suitable formation for the hydraulic
fracturing stimulation in the shale reservoirs. The two most widely used approaches in the …
fracturing stimulation in the shale reservoirs. The two most widely used approaches in the …
Joint optimization of well locations, types, drilling order, and controls given a set of potential drilling paths
R Lu, AC Reynolds - SPE Journal, 2020 - onepetro.org
Much work has been performed on the optimal well placement/control problem, including
some investigations on optimizing well types (injector or producer) and/or drilling order …
some investigations on optimizing well types (injector or producer) and/or drilling order …
[HTML][HTML] Comprehensive assessment of hydraulic fracturing technology efficiency for well construction during hydrocarbon production
II Bosikov, RV Klyuev, АV Mayer - Записки Горного института, 2022 - cyberleninka.ru
The oil and gas industry has been an integral and fundamental sector of the Russian
economy for the past few years. The main problems of this industry have traditionally been …
economy for the past few years. The main problems of this industry have traditionally been …
Effective treatment of geometric constraints in derivative-free well placement optimization
A Zou, T Ye, O Volkov, LJ Durlofsky - Journal of Petroleum Science and …, 2022 - Elsevier
A robust workflow for optimizing the placement of multiple deviated wells subject to
challenging geometric constraints is presented and applied. The workflow entails the use of …
challenging geometric constraints is presented and applied. The workflow entails the use of …
Simultaneous optimization of well count and placement: algorithm, validation, and field testing
FO Alpak - SPE Journal, 2023 - onepetro.org
Robust identification of the optimal well count and corresponding well locations/trajectories
under the influence of subsurface uncertainty is a very challenging yet crucial element of …
under the influence of subsurface uncertainty is a very challenging yet crucial element of …
Estimation of multistage hydraulic fracturing parameters using 4D simulation
II Bosikov, RV Klyuev, IV Silaev… - Gornye nauki i tekhnologii …, 2023 - mst.misis.ru
At the present stage, most oil and gas condensate fields in the southern part of the East
Siberian oil and gas province are characterized by an increasing proportion of difficult oil …
Siberian oil and gas province are characterized by an increasing proportion of difficult oil …