Evidence map›Paper›PMID 42540083›Full record

ArticleACS omega2026

Coalbed Methane Reservoir Characterization and Geological Modeling: A Case Study of Block A in the Shenfu Gas Field, Eastern Margin of the Ordos Basin.

Di Yang, Yongjing Tian, Maojun Fang, Yuhu Bai, Yu Qi, Fen Liu, Ruyong Feng, Hao Lu

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Di YangCNOOC Research Institute Ltd., Beijing 100028, China.ORCID https://orcid.org/0009-0008-8125-7700
Yongjing TianChina United Coalbed Methane Co., Ltd., Beijing 100000, China.
Maojun FangCNOOC Research Institute Ltd., Beijing 100028, China.ORCID https://orcid.org/0009-0009-8631-2075
Yuhu BaiCNOOC Research Institute Ltd., Beijing 100028, China.
Yu QiCNOOC Research Institute Ltd., Beijing 100028, China.
Fen LiuCNOOC Research Institute Ltd., Beijing 100028, China.
Ruyong FengCNOOC Research Institute Ltd., Beijing 100028, China.
Hao LuCNOOC Research Institute Ltd., Beijing 100028, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, with the growth of global demand for oil and gas, coalbed methane, as an important unconventional resource, has become a research hotspot in the field of exploration and development. However, coal reservoirs typically exhibit strong heterogeneity, with significant variations in microscopic components, pore characteristics, and coal body structures, making it challenging to identify the distribution of favorable reservoirs. To address this issue, this study proposes a novel approach to coal reservoir characterization and modeling based on coal macrolithotypes. The method uses core observation and experimental analysis to determine the geological characteristics of favorable macrolithotypes, thereby guiding the construction of the coal reservoir geological models. It not only delineates the spatial heterogeneity of coal reservoirs but also provides an effective framework for predicting favorable coal reservoirs. The method is successfully applied to block A of the Shenfu gas field, located on the eastern margin of the Ordos Basin. Results indicate that bright coal and semibright coal are favorable coal reservoirs in this area, characterized by superior gas generation and storage capacities. They are primarily distributed in the central part of the study area horizontally and concentrated in the upper middle part of the coal seam vertically, forming the key target interval for development. Finally, the reliability of the proposed approach is verified through comparison to production performance from actual wells. Therefore, this method provides a robust basis for predicting favorable coal reservoirs and offers a valuable guide for improving the coalbed methane development efficiency and achieving increased production.

Identifiers

PMID42540083
PMCPMC13425314

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.