A novel machine learning approach for detecting outliers, rebuilding well logs, and enhancing reservoir characterization
Irregular measurements may occur during the drilling process due to unconsolidated
formation resulting in poor signal recordings by the logging tool. This affects the quality of …
formation resulting in poor signal recordings by the logging tool. This affects the quality of …
Machine learning methods for estimating permeability of a reservoir
H Khan, A Srivastav, A Kumar Mishra… - International Journal of …, 2022 - Springer
The prediction of permeability from the information of a well log is a crucial and extensive
task that is observed in the earth sciences. The permeability of a reservoir is greatly …
task that is observed in the earth sciences. The permeability of a reservoir is greatly …
Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms
An important requirement of reservoir management is to understand the properties of
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
[HTML][HTML] 测井资料PSO-XGBoost 渗透率预测
谷宇峰, 张道勇, 鲍志东 - 石油地球物理勘探, 2021 - html.rhhz.net
渗透率预测模型主要分为物理模型和拟合模型. 物理模型基于测井理论, 能得到可靠的渗透率
预测值, 但推广性较差; 逐步迭代为经典的拟合算法, 能快速预测渗透率, 但难以确定各类测井 …
预测值, 但推广性较差; 逐步迭代为经典的拟合算法, 能快速预测渗透率, 但难以确定各类测井 …
[HTML][HTML] Prediction of water saturation from well log data by machine learning algorithms: Boosting and super learner
F Hadavimoghaddam, M Ostadhassan… - Journal of Marine …, 2021 - mdpi.com
Intelligent predictive methods have the power to reliably estimate water saturation (Sw)
compared to conventional experimental methods commonly performed by petrphysicists …
compared to conventional experimental methods commonly performed by petrphysicists …
Enhanced oil recovery by nanoparticles flooding: From numerical modeling improvement to machine learning prediction
B Alwated, MF El–Amin - Advances in Geo-Energy Research, 2021 - ager.yandypress.com
Nowadays, enhanced oil recovery using nanoparticles is considered an innovative
approach to increase oil production. This paper focuses on predicting nanoparticles …
approach to increase oil production. This paper focuses on predicting nanoparticles …
A new data-driven predictor, PSO-XGBoost, used for permeability of tight sandstone reservoirs: A case study of member of chang 4+ 5, western Jiyuan Oilfield, Ordos …
Y Gu, D Zhang, Z Bao - Journal of Petroleum Science and Engineering, 2021 - Elsevier
Permeability is universally regarded as a critical analysis parameter for some geological
work such as formation characterization and oil deposit exploitation. It can be obtained by …
work such as formation characterization and oil deposit exploitation. It can be obtained by …
Estimation of hydrogen solubility in aqueous solutions using machine learning techniques for hydrogen storage in deep saline aquifers
The porous underground structures have recently attracted researchers' attention for
hydrogen gas storage due to their high storage capacity. One of the challenges in storing …
hydrogen gas storage due to their high storage capacity. One of the challenges in storing …
Insights into the estimation of surface tensions of mixtures based on designable green materials using an ensemble learning scheme
R Soleimani, AH Saeedi Dehaghani - Scientific Reports, 2023 - nature.com
Precise estimation of the physical properties of both ionic liquids (ILs) and their mixtures is
crucial for engineers to successfully design new industrial processes. Among these …
crucial for engineers to successfully design new industrial processes. Among these …
Rock thermal properties from well-logging data accounting for thermal anisotropy
A Shakirov, E Chekhonin, Y Popov, E Popov… - Geothermics, 2021 - Elsevier
The limitations of the existing techniques for in situ rock thermal property measurements and
numerous cases with non-coring drilling determine the necessity for methods of rock thermal …
numerous cases with non-coring drilling determine the necessity for methods of rock thermal …