High thermal stability of copper-based perovskite scintillators for high-temperature X-ray detection

TC Wang, SY Yao, SP Yan, J Yu, ZY Deng… - … Applied Materials & …, 2023 - ACS Publications
High-temperature scintillation detectors play a significant role in oil exploration. However,
traditional scintillators have limited ability to meet the requirements of practical applications …

Multi-layered Ordovician paleokarst reservoir detection and spatial delineation: A case study in the Tahe Oilfield, Tarim Basin, Western China

F Tian, Q Jin, X Lu, Y Lei, L Zhang, S Zheng… - Marine and Petroleum …, 2016 - Elsevier
Paleokarst systems are major carbonate reservoirs that can form significant and very large
oilfields. The Ordovician carbonate reservoirs of the Tahe Oilfield represent a special type of …

Data driven model for sonic well log prediction

D Onalo, S Adedigba, F Khan, LA James… - Journal of Petroleum …, 2018 - Elsevier
Near wellbore failure during the exploration of hydrocarbon reservoirs presents a serious
concern to the oil and gas industry. To predict the probability of these undesirable …

Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques

MN Amar, A Larestani, Q Lv, T Zhou… - Journal of Petroleum …, 2022 - Elsevier
Energy demand is increasing worldwide and shale gas formations have gained increasing
attention and have become crucial energy sources. Therefore, accurate determination of …

A hybrid logistic regression: gene expression programming model and its application to mineral prospectivity mapping

F Xiao, W Chen, J Wang, O Erten - Natural Resources Research, 2021 - Springer
Mineral prospectivity mapping (MPM) is a fundamental task in mineral exploration. The
logistic regression (LR) method has been widely used as a data-driven tool for MPM …

[HTML][HTML] Improved prediction of shear wave velocity for clastic sedimentary rocks using hybrid model with core data

MI Miah - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Accurate measurement of acoustic velocities of sedimentary rocks is essential for prediction
of rock elastic constants and well failure analysis during drilling operations. Direct …

On the evaluation of coal strength alteration induced by CO2 injection using advanced black-box and white-box machine learning algorithms

Q Lv, H Zheng, X Li, MR Mohammadi… - SPE Journal, 2024 - onepetro.org
The injection of carbon dioxide (CO 2) into coal seams is a prominent technique that can
provide carbon sequestration in addition to enhancing coalbed methane extraction …

Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin

F Nath, SM Asish, D Ganta, HR Debi, G Aguirre… - Energies, 2022 - mdpi.com
Due to complexities in geologic structure, heterogeneity, and insufficient borehole
information, shale formation faces challenges in accurately estimating the elastic properties …

Dynamic risk assessment of reservoir production using data-driven probabilistic approach

A Mamudu, F Khan, S Zendehboudi… - Journal of Petroleum …, 2020 - Elsevier
Oil and gas companies use the reservoir simulation approach to history match and forecast
reservoir production. While this strategy is easy and often effective, it has inherent setbacks …

A hybrid intelligent model for reservoir production and associated dynamic risks

A Mamudu, F Khan, S Zendehboudi… - Journal of Natural Gas …, 2020 - Elsevier
This research presents a hybrid model to predict oil production and to provide a dynamic risk
profile of the production system. The introduced predictive approach combines a multilayer …