Advances in Improving Efficiency, Decarbonization, Modeling and Intelligent Operations of Modern Oilfield Development
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 10
Special Issue Editors
Interests: big data and artificial intelligence in petroleum engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on advancing the efficiency, sustainability, and intelligence of oilfield development in the era of energy transition, where mature reservoirs and unconventional oil and gas fields require innovative recovery strategies and digital capabilities. It emphasizes several foundational technology domains spanning multiple disciplines, including high-fidelity reservoir modeling and numerical simulation for predictive decision-making, chemical enhanced oil recovery (EOR) methods to mobilize residual oil, and digital transformation initiatives that enable real-time monitoring, automation, and data-driven field operations.
This Special Issue explores cutting-edge developments across these domains, including multiphase flow simulation in heterogeneous media, novel formulations and interfacial engineering for chemical flooding, and the deployment of digital oilfield architectures. Contributions may address one or more of these areas independently, reflecting their distinct yet complementary roles in extending field life, improving recovery factors, reducing operational uncertainty, and supporting decarbonization pathways across conventional and unconventional resources.
We particularly encourage submissions that advance core methodologies and field applications in the following areas: physics-based and data-enhanced reservoir simulation; design, optimization, and economic evaluation of chemical EOR projects; and digital oilfield enablers such as real-time production surveillance, reservoir modeling based on artificial intelligence, automated well control, digital twins for asset management, and cybersecurity in operational technology systems—all aimed at building more responsive, efficient, and resilient oil recovery operations aligned with global decarbonization goals and intelligent energy system transitions.
Dr. Xiang Wang
Dr. Xianmin Zhang
Guest Editors
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
- reservoir modeling and numerical simulation
- chemical enhanced oil recovery (chemical EOR)
- digital oilfield and digital transformation
- multiphase flow in porous media
- real-time reservoir monitoring and control
- mature field revitalization
- cybersecurity in operational technology systems
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