Advanced Approaches in Drilling Processes and Enhanced Oil Recovery
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 10 February 2026 | Viewed by 50
Special Issue Editor
Interests: enhanced oil recovery; reservoir modelling and simulation; carbon storage
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global energy demand continues to grow, driven by rising populations and accelerating economic development. This growing demand puts increasing pressure on conventional oil production techniques, which often face limitations due to declining reservoir pressures, complex geological settings, and aging infrastructure. To address these challenges, the industry is turning to innovative drilling technologies and Enhanced Oil Recovery (EOR) methods to unlock additional hydrocarbon resources and maximize reservoir performance.
This Special Issue aims to bring together cutting-edge research that advances both drilling processes and EOR technologies, highlighting the synergy between these two critical areas in petroleum engineering. It will cover breakthroughs in experimental investigations, numerical modeling, field applications, and the integration of smart technologies such as AI and machine learning.
We invite researchers to submit original articles and reviews on topics including, but not limited to, the following:
- Smart Drilling Systems and Automation;
- Drilling Fluids and Wellbore Stability;
- Horizontal and Multilateral Drilling Techniques;
- Real-Time Monitoring and Optimization in Drilling;
- Smart Water Flooding;
- Nanotechnology Applications in EOR;
- CO₂-based EOR Methods;
- Microbial and Chemical EOR;
- Low-Salinity and Hybrid EOR Techniques;
- EOR in Shale and Tight Formations;
- AI and Data-Driven Approaches in Drilling and EOR;
- Environmentally Friendly and Sustainable EOR Methods.
This Special Issue will showcase the latest advancements shaping the future of oilfield development, offering insights into more efficient, sustainable, and intelligent solutions for maximizing hydrocarbon recovery. We encourage contributions from academia, research institutions, and industry professionals who are pushing the boundaries of innovation in drilling and EOR.
Dr. Alireza Kazemi
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- drilling optimization
- smart drilling technologies
- enhanced oil recovery (EOR)
- CO2-EOR
- low-salinity waterflooding
- smart water flooding
- nanotechnology in EOR
- microbial EOR
- artificial intelligence in EOR
- reservoir simulation
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