Advances in Petroleum Engineering: AI-Driven Drilling, Well-Placement and Reservoir Management Workflows
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 24
Special Issue Editors
Interests: geosteering decisions; digital drilling; artificial intelligence; uncertainty quantification; decision support systems; machine learning
Special Issue Information
Dear Colleagues,
The growing complexity of subsurface operations in petroleum engineering demands smarter and more efficient approaches. As projects become more technically challenging and profit margins narrow, there is a pressing need for sophisticated decision support under uncertainty. These needs are even more pronounced in emerging geo-energy sectors such as geothermal energy and CO2 storage, where operational risk and subsurface uncertainty are often higher. Artificial intelligence (AI) is becoming a key enabler, transforming resource-intensive custom workflows into fast, data-driven, and even real-time tools for drilling automation, geosteering decisions, and intelligent reservoir management.
We invite you to contribute your latest findings to this Special Issue focused on AI-enhanced workflows and decision support systems in petroleum engineering. Topics of interest include machine learning for drilling and geosteering, AI-driven predictive reservoir modelling, uncertainty quantification, Digital Twins, and human–AI interaction. Submissions addressing cross-disciplinary insights from geothermal and CO2 storage are also welcome. We aim to showcase innovative AI solutions that improve efficiency, reliability, and adaptability in complex energy projects.
Dr. Sergey Alyaev
Dr. Kristian Fossum
Guest Editors
Manuscript Submission Information
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Keywords
- AI-driven workflows
- scientific machine learning
- digital twins
- decision support under uncertainty
- cross-domain geoenergy workflows
- subsurface data integration
- predictive modelling in geoenergy
- drilling automation
- geosteering data and decisions
- reservoir monitoring and control
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