Petrophysical Formation Evaluation and Well Logging in Energy Exploration Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 25 May 2026 | Viewed by 17
Special Issue Editors
Interests: formation evaluation; unconventional reservoirs; well logging; applied nuclear magnetic resonance
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
Special Issue Information
Dear Colleagues,
Unconventional oil and gas reservoirs—such as shale oil/gas, coalbed methane, and tight oil/gas—often exhibit response characteristics that differ significantly from those of conventional reservoirs. Traditional petrophysical methods and formation evaluation technologies lose their effectiveness in these settings. As a results, geologists have placed higher demands on well log evaluation, interpretation methods, models, and related technologies for unconventional oil and gas resources characterization, “sweet spot” prediction, effectiveness evaluation, and productivity research. To advance both conventional and unconventional reservoir characterization, it is necessary to develop new technologies related to petrophysical experiments, well logging data processing and interpretation, theoretical modeling, and digital rock analysis.
This Special Issue seeks high-quality contributions focusing on the latest advances in petrophysical characterization and well logging evaluation techniques for both conventional and unconventional reservoirs. Topics include, but are not limited to, the following:
- Conventional and unconventional reservoir characterization and effectiveness prediction;
- Application of CT scanning technology in reservoir evaluation;
- Fractured reservoirs evaluation based on advanced well logging techniques;
- Unconventional reservoir flow mechanisms, dynamic-static integration, and productivity prediction;
- Application of machine learning methods in conventional and unconventional reservoirs.
Prof. Dr. Liang Xiao
Prof. Dr. Hongyan Yu
Prof. Dr. Cheng Feng
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. Applied Sciences is an international peer-reviewed open access semimonthly 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
- pore structure
- sedimentary microfacies
- unconventional reservoirs characterization
- effectiveness prediction
- productivity estimation
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
