[HTML][HTML] Applications of AI in oil and gas projects towards sustainable development: a systematic literature review

A Waqar, I Othman, N Shafiq, MS Mansoor - Artificial Intelligence Review, 2023 - Springer
Oil and gas construction projects are critical for meeting global demand for fossil fuels, but
they also present unique risks and challenges that require innovative construction …

Application of Artificial Intelligence in the Oil and Gas Industry

M Hussain, A Alamri, T Zhang, I Jamil - Engineering Applications of …, 2024 - Springer
The oil and gas industry substantially influences global energy production due to its
complexity and faces different challenges. In various industries, including the oil and gas …

Machine learning framework for estimating CO2 adsorption on coalbed for carbon capture, utilization, and storage applications

A Alanazi, AF Ibrahim, S Bawazer, S Elkatatny… - International Journal of …, 2023 - Elsevier
For the purpose of carbon capture, utilization, and storage, carbon dioxide (CO 2) injection
in coal formations can enhance methane recovery and mitigate climate change. However …

[HTML][HTML] Machine learning application to predict in-situ stresses from logging data

AF Ibrahim, A Gowida, A Ali, S Elkatatny - Scientific Reports, 2021 - nature.com
Determination of in-situ stresses is essential for subsurface planning and modeling, such as
horizontal well planning and hydraulic fracture design. In-situ stresses consist of overburden …

Employing deep learning neural networks for characterizing dual-porosity reservoirs based on pressure transient tests

R Kumar Pandey, A Kumar… - Journal of Energy …, 2022 - asmedigitalcollection.asme.org
The deep learning model constituting two neural network models (ie, densely connected
and long short-term memory) has been applied for automatic characterization of dual …

Genetic algorithm optimization of deep structured classifier-predictor models for pressure transient analysis

R Kumar Pandey, A Kumar… - Journal of Energy …, 2023 - asmedigitalcollection.asme.org
This research aims to optimize deep learning models constituting long short-term memory
and dense neural networks using the genetic algorithm (GA). This novel scenario has been …

Prediction of coal wettability using machine learning for the application of CO2 sequestration

AF Ibrahim - International Journal of Greenhouse Gas Control, 2022 - Elsevier
Carbon capture, utilization, and storage (CCUS) is an essential greenhouse gas-reducing
technology that can be employed throughout the energy system. Carbon dioxide (CO 2) …

[HTML][HTML] Rock stress measurement methods in rock mechanics—a brief overview

M Sazid, K Hussein, K Abudurman - World Journal of Engineering and …, 2023 - scirp.org
The current brief review paper on rock stress measurement methods is very crucial factors in
mining, civil infrastructure, geothermal energy, nuclear underground disposal, large …

Prediction of water saturation in tight gas sandstone formation using artificial intelligence

AF Ibrahim, S Elkatatny, M Al Ramadan - ACS omega, 2022 - ACS Publications
Water saturation (S w) is a vital factor for the original oil and gas in place (OOIP and OGIP).
Numerous available equations can be used to calculate S w, but their values have been …

Application of machine learning to predict estimated ultimate recovery for multistage hydraulically fractured wells in niobrara shale formation

AF Ibrahim, SA Alarifi, S Elkatatny - Computational Intelligence …, 2022 - Wiley Online Library
The completion design of multistage hydraulic fractured wells including the cluster spacing
injected proppant and slurry volumes has shown a great influence on the well production …