A data-driven shale gas production forecasting method based on the multi-objective random forest regression
Shale gas is an important unconventional natural gas resource existing in shale reservoir
with huge reserves. Due to the ultralow porosity and permeability, it requires the horizontal …
with huge reserves. Due to the ultralow porosity and permeability, it requires the horizontal …
Reservoir characterization through comprehensive modeling of elastic logs prediction in heterogeneous rocks using unsupervised clustering and class-based …
Geophysical reservoir characterization is a significant task in the oil and gas industry and
elastic logs prediction of subsurface formations is a fundamental aspect of this process …
elastic logs prediction of subsurface formations is a fundamental aspect of this process …
What is the probability of achieving the carbon dioxide emission targets of the Paris Agreement? Evidence from the top ten emitters
C Dong, X Dong, Q Jiang, K Dong, G Liu - Science of the Total Environment, 2018 - Elsevier
This study predicts the probabilities of achieving the carbon dioxide (CO 2) emission targets
set by the Paris Agreement and the Intended Nationally Determined Contribution (INDC) of …
set by the Paris Agreement and the Intended Nationally Determined Contribution (INDC) of …
Machine Learning in Oil and Gas Exploration-A Review
A comprehensive assessment of machine learning applications is conducted to identify the
developing trends for Artificial Intelligence (AI) applications in the oil and gas sector …
developing trends for Artificial Intelligence (AI) applications in the oil and gas sector …
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 …
Ensemble machine learning: An untapped modeling paradigm for petroleum reservoir characterization
The successful applications of the conventional Computational Intelligence (CI) techniques
and Hybrid Intelligent Systems (HIS) in petroleum reservoir characterization have been …
and Hybrid Intelligent Systems (HIS) in petroleum reservoir characterization have been …
Intelligent soft computational models integrated for the prediction of potentially toxic elements and groundwater quality indicators: a case study
JC Agbasi, JC Egbueri - Journal of sedimentary environments, 2023 - Springer
Reports have shown that potentially toxic elements (PTEs) in air, water, and soil systems
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
Optimization of models for a rapid identification of lithology while drilling-A win-win strategy based on machine learning
J Sun, Q Li, M Chen, L Ren, G Huang, C Li… - Journal of Petroleum …, 2019 - Elsevier
The identification of lithology from well log data is an important task in petroleum exploration
and development. However, due to the complexity of the sedimentary environment and …
and development. However, due to the complexity of the sedimentary environment and …
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 …
Intelligent prediction for rock porosity while drilling complex lithology in real time
Rock porosity is an important parameter for the formation evaluation, reservoir modeling,
and petroleum reserve estimation. The conventional methods for determining the rock …
and petroleum reserve estimation. The conventional methods for determining the rock …