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 …
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 …
oilfields. The Ordovician carbonate reservoirs of the Tahe Oilfield represent a special type of …
Data driven model for sonic well log prediction
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 …
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 …
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
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 …
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 …
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 …
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
Due to complexities in geologic structure, heterogeneity, and insufficient borehole
information, shale formation faces challenges in accurately estimating the elastic properties …
information, shale formation faces challenges in accurately estimating the elastic properties …
Dynamic risk assessment of reservoir production using data-driven probabilistic approach
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 …
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
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 …
profile of the production system. The introduced predictive approach combines a multilayer …