A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization

L Wang, Y Yao, X Luo, CD Adenutsi, G Zhao, F Lai - Fuel, 2023 - Elsevier
Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

A holistic review on artificial intelligence techniques for well placement optimization problem

J Islam, PM Vasant, BM Negash, MB Laruccia… - … in engineering software, 2020 - Elsevier
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 …

Data-driven machine learning approach to predict mineralogy of organic-rich shales: An example from Qusaiba Shale, Rub'al Khali Basin, Saudi Arabia

A Mustafa, Z Tariq, M Mahmoud, AE Radwan… - Marine and Petroleum …, 2022 - Elsevier
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 …

Data-driven modeling approach to predict the recovery performance of low-salinity waterfloods

S Kalam, RA Khan, S Khan, M Faizan, M Amin… - Natural Resources …, 2021 - Springer
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 …

Shale brittleness prediction using machine learning—A Middle East basin case study

A Mustafa, Z Tariq, A Abdulraheem… - AAPG …, 2022 - pubs.geoscienceworld.org
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 …

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 …

[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 …

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 …

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 …

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 …