Artificial Intelligence in Petroleum Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Fluid Science and Technology".
Deadline for manuscript submissions: 25 September 2024 | Viewed by 144
Special Issue Editor
Interests: artificial neural networks; evolutionary computing and fuzzy logic in earth science; reservoir engineering; natural gas engineering; simulation and modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past 50 years, petroleum scientists and engineers all over the world have generated a large number of technologies (models and solutions) that have introduced impactful enhancements in oil and gas productions. In the last decade, the generation of new technologies and the adaptation of existing petroleum technologies have been employed to enhance carbon sequestration.
While the original application of artificial intelligence in petroleum engineering started in the early 1990s, in the past decade this avenue has been enhanced and has been proven capable of hugely augmenting all the petroleum technologies of the past 50 years. For example, currently, in petroleum reservoir engineering, artificial intelligence has generated new reservoir simulation and modeling that can provide far superior results (history matching, reservoir geological modeling, production forecasting, production optimization, etc.) than the existing grate numerical reservoir simulation technology that currently is used by CMG, Eclipse, Petrel, and tNavigator. This same fundamental principle is applicable to other petroleum engineering technologies.
The fact is that, in a few years from now, artificial intelligence will become the only technology that is used in petroleum engineering.
Prof. Dr. Shahab D. Mohaghegh
Guest Editor
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Keywords
- petroleum engineering
- artificial neural network
- reservoir engineering
- drilling
- surface facility
- fuzzy logic
