Data Acquisition, Processing, Analysis Methods and Process Control in Energy Exploration Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 15 February 2026 | Viewed by 1
Special Issue Editors
Interests: digital rock physics; shale oil and gas; formation evaluation
Special Issues, Collections and Topics in MDPI journals
Interests: formation evaluation; well logging; unconventional reservoirs; machine learning; CCUS; digital core
Special Issues, Collections and Topics in MDPI journals
Interests: experimental and theoritical geosciences
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The energy sector is undergoing a transformation, driven by advances in digital technologies and the increasing demand for sustainable resource management. This Special Issue, “Data Acquisition, Processing, Analysis Methods and Process Control in Energy Exploration Systems”, invites researchers, engineers, and industry experts to submit cutting-edge research and case studies on innovative methodologies and technologies that enhance efficiency, accuracy, and sustainability in energy exploration systems. We seek high-quality interdisciplinary studies that focus on the latest novel advances in the integration of emerging tools (e.g., digital twins, edge computing, blockchain) to improve decision making, reduce environmental impact, and ensure operational safety. Contributions may include theoretical frameworks, experimental validations, field applications, or reviews that highlight trends and future directions across oil, gas, geothermal, and renewable energy sectors. Topics include, but are not limited to, challenges and solutions in the following areas:
- Data acquisition (e.g., sensor networks, well/mud logging tools);
- Data processing (e.g., AI/ML algorithms, real-time analytics, noise reduction);
- Advanced data analysis (e.g., predictive modeling, reservoir characterization);
- Process control (e.g., automation, optimization, cyber–physical systems).
Dr. Xin Nie
Dr. Hongyan Yu
Prof. Dr. Mehdi Ostadhassan
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
- data acquisition
- data processing
- data analysis
- process control
- energy exploration
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