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JMSE
Special Issues
Marine Well Logging and Reservoir Characterization
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Marine Well Logging and Reservoir Characterization

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Geological Oceanography".

Deadline for manuscript submissions: 1 March 2026 | Viewed by 263

Special Issue Editors

Prof. Dr. Changchun Zou

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Guest Editor
School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China
Interests: petrophysics; well logging and borehole geophysics; integrated geophysical exploration; deep-sea and polar geophysical exploration
Special Issues, Collections and Topics in MDPI journals
Dr. Cheng Peng

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Guest Editor
School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China
Interests: petrophysics; well logging; cyclostratigraphy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Reservoir Characterization is an essential topic in offshore energy exploration and development. It refers to the comprehensive analysis of well logging data, seismic data, and geological data to characterize the properties of the reservoirs such as lithology, physical properties, and hydrocarbon-bearing properties. During the exploration stage, seismic data plays a critical role, while in the development stage, well logging offers more value for precisely characterizing hydrocarbon reservoirs.

This Special Issue focuses on using marine well logging data primarily, integrated with geological and core analysis data, to address the challenges of characterizing complex offshore reservoirs. Potential topics include, but are not limited to, the following:

(1) Characterization of offshore reservoirs, including low-permeability reservoirs, shallow gas reservoirs, and buried-hill reservoirs;

(2) Research on petrophysics, fracture characterization, pore-structure analysis, heterogeneity evaluation, and reservoir performance evaluation;

(3) Sedimentological and stratigraphic analysis;

(4) Applications of artificial intelligence and machine learning.

Prof. Dr. Changchun Zou
Dr. Cheng Peng
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. Journal of Marine Science and Engineering 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 2600 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

  • well logging
  • petrophysics
  • reservoir characterization
  • oil and gas exploration
  • sedimentological analysis

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Published Papers (1 paper)

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Research

23 pages, 6052 KB  
Article
Evaluating Gas Saturation in Unconventional Gas Reservoirs Using Acoustic Logs: A Case Study of the Baiyun Depression in the Northern South China Sea
by Jiangbo Shu, Changchun Zou, Cheng Peng, Liang Xiao, Keyu Qiao, Xixi Lan, Wei Shen, Yuanyuan Zhang and Hongjie Zhang
J. Mar. Sci. Eng. 2025, 13(11), 2078; https://doi.org/10.3390/jmse13112078 - 31 Oct 2025
Viewed by 91
Abstract
Shallow gas is an unconventional natural gas resource with great potential and has received growing attention recently. Accurate estimation of gas saturation is crucial for reserves assessments and for development program formulations. However, such reservoirs are characterized by weak diagenesis, a high clay [...] Read more.
Shallow gas is an unconventional natural gas resource with great potential and has received growing attention recently. Accurate estimation of gas saturation is crucial for reserves assessments and for development program formulations. However, such reservoirs are characterized by weak diagenesis, a high clay content, and low resistivity. These properties pose significant challenges for saturation evaluations. To address the challenge of insufficient accuracy in evaluating the saturation of gas-bearing reservoirs, we propose an acoustic-based saturation evaluation method. In this study, a shallow unconsolidated rock physics model is first constructed to investigate the effect of variations in the gas saturation on elastic wave velocities. The model especially considers the patchy distribution of fluids within pores. In addition, we propose an iterative algorithm based on the updated relationship between porosity and gas saturation by introducing a correction term for the saturation to the density porosity, and successfully apply it to the logging data collected from the shallow gas reservoirs in the Pearl River Mouth Basin of the South China Sea. It is evident from the results that the saturation derived from the array acoustic logs is comparable to that obtained from the resistivity logs, with a mean absolute error of less than 6%. Additionally, it is also consistent with the drill stem test (DST) data, which further verifies the validity and reliability of this method. This study provides a novel non-electrical method for estimating the saturation of shallow gas reservoirs, which is essential to promote the evaluation of unconsolidated sandstone gas reservoirs. Full article
(This article belongs to the Special Issue Marine Well Logging and Reservoir Characterization)
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