[HTML][HTML] Applications of AI in oil and gas projects towards sustainable development: a systematic literature review
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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) …
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 …
mining, civil infrastructure, geothermal energy, nuclear underground disposal, large …
Prediction of water saturation in tight gas sandstone formation using artificial intelligence
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 …
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 …
injected proppant and slurry volumes has shown a great influence on the well production …