Artificial Intelligence Techniques in Oil and Gas Exploration and Development
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".
Deadline for manuscript submissions: closed (30 October 2022) | Viewed by 15237
Special Issue Editors
Interests: deepwater oil and gas seismic exploration; marine gas hydrate seismic exploration; signal analysis and processing
Interests: seismic data imaging; artificial intelligence in geophysics
Interests: artificial intelligence in geophysical exploration; integration of seismic and geological engineering; high-resolution seismic data processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, the oil and gas industry is facing unprecedented challenges and uncertainty. On the one hand, oil and gas reservoirs have become far more scarce, and on the other, the unreliability of the market has led oil companies to limit their budget for oil and gas exploration and development. To balance these two factors and mitigate the new challenges faced by oil and gas exploration and development, big data acquired during these stages should be thoroughly utilized. Artificial intelligence (AI) not only provides feasible solutions for large-volume data, high labor cost, and severe repeatability in oil and gas industries but also offers opportunities to formulate innovative methods and technologies that surpass and even break through the limited boundaries of traditional theories. While developing high-efficiency and high-precision AI technologies, a non-negligible viewpoint of "data is the most important" should be highlighted and established. Data characteristic analysis and data value mining are the cornerstones of AI and its successful application in oil and gas exploration and development. Data, computing power, algorithms, and scenarios jointly drive AI-assisted advancement in this field towards a more reliable and secure future.
This Special Issue aims to present and disseminate the most recent advances in artificial intelligence techniques for geophysical data processing, interpretation, inversion, and other aspects of oil, gas, coal, and gas hydrate exploration. Due to your expertise and excellent publication record in this field, we are inviting you to submit a paper on traditional fossil fuel exploration and development.
Topics of interest for publication include, but are not limited to:
- AI for geophysical data processing of oil and gas exploration and development;
- AI for geophysical data inversion of oil and gas exploration and development;
- AI for geophysical data interpretation of oil and gas exploration and development.
Prof. Dr. Xiangchun Wang
Prof. Dr. Gang Yao
Prof. Dr. Sanyi Yuan
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- deep learning
- oil and gas
- gas hydrate
- geophysical data processing
- geophysical data inversion
- geophysical data interpretation
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