Toward the scientific interpretation of geophysical well logs: Typical misunderstandings and countermeasures
J Lai, G Wang, Q Fan, F Zhao, X Zhao, Y Li, Y Zhao… - Surveys in …, 2023 - Springer
Geophysical well log data are widely used in the field of structural geology, sedimentary
geology and petroleum geology. Gaps and misunderstandings are still existing in the …
geology and petroleum geology. Gaps and misunderstandings are still existing in the …
[HTML][HTML] Review of application of artificial intelligence techniques in petroleum operations
S Bahaloo, M Mehrizadeh, A Najafi-Marghmaleki - Petroleum Research, 2023 - Elsevier
In the last few years, the use of artificial intelligence (AI) and machine learning (ML)
techniques have received considerable notice as trending technologies in the petroleum …
techniques have received considerable notice as trending technologies in the petroleum …
Petrophysical heterogeneity of the early Cretaceous Alamein dolomite reservoir from North Razzak oil field, Egypt integrating well logs, core measurements, and …
Capturing the petrophysical heterogeneities within a reservoir has a critical influence on
reservoir deliverability as well as field development programs. In this study, we report a …
reservoir deliverability as well as field development programs. In this study, we report a …
A case study of petrophysical rock typing and permeability prediction using machine learning in a heterogenous carbonate reservoir in Iran
Petrophysical rock typing (PRT) and permeability prediction are of great significance for
various disciplines of oil and gas industry. This study offers a novel, explainable data-driven …
various disciplines of oil and gas industry. This study offers a novel, explainable data-driven …
[HTML][HTML] Prediction of permeability from well logs using a new hybrid machine learning algorithm
Permeability is a measure of fluid transmissibility in the rock and is a crucial concept in the
evaluation of formations and the production of hydrocarbon from the reservoirs. Various …
evaluation of formations and the production of hydrocarbon from the reservoirs. Various …
A framework of active learning and semi-supervised learning for lithology identification based on improved naive Bayes
Lithology identification is the basis of energy exploration and reservoir evaluation, intelligent
and accurate identification of underground lithology is a key issue. The establishment of a …
and accurate identification of underground lithology is a key issue. The establishment of a …
Neural network application to petrophysical and lithofacies analysis based on multi-scale data: An integrated study using conventional well log, core and borehole …
AA Shehata, OA Osman, BS Nabawy - Journal of natural gas science and …, 2021 - Elsevier
Application of artificial neural network (ANN, eg, Multi-layer perceptron, MLP) became
widespread in the petroleum industry, especially in formation evaluation, reservoir …
widespread in the petroleum industry, especially in formation evaluation, reservoir …
Prediction of reservoir key parameters in 'sweet spot'on the basis of particle swarm optimization to TCN-LSTM network
F Huo, Y Chen, W Ren, H Dong, T Yu… - Journal of Petroleum …, 2022 - Elsevier
In oil reservoirs, the sweet spot is found that the well could be positioned quickly and
accurately, the drilling rate and the oil-gas production are increased, development cost is …
accurately, the drilling rate and the oil-gas production are increased, development cost is …
A multiple-input deep residual convolutional neural network for reservoir permeability prediction
Permeability plays an essential role in reservoir-related studies, including fluid flow
characterization, reservoir modeling/simulation, and management. However, operational …
characterization, reservoir modeling/simulation, and management. However, operational …
Harnessing advanced machine-learning algorithms for optimized data conditioning and petrophysical analysis of heterogeneous, thin reservoirs
Petrophysical analysis is an industry-standard practice for reservoir evaluation as it provides
critical inputs for characterizing subsurface formations and estimating resource potential …
critical inputs for characterizing subsurface formations and estimating resource potential …