Evidence map›Paper›PMID 37340771›Full record

ArticleScience progress

Application of well logging technology in geothermal resource evaluation: A case study of geothermal water wells in the Qianjiang sag, Jianghan Basin.

Wenrui Shi, Lijuan Ma, Zisang Huang, Ganlu Wang, Chengfang Wang, Lijun Li, Yunjing Ji, Liu Liu, Chang Xiao

Abstract read
In one paragraph

Article in Science progress. 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

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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

9 authors.

Wenrui ShiCooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Ministry of Education & Hubei Province, Wuhan, China.
Lijuan MaSinopec Matrix Corporation, Qingdao, China.
Zisang HuangState Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Chengdu University of Technology), Chengdu, China.ORCID 0000-0002-7155-0259
Ganlu WangCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, China.
Chengfang WangSinopec Matrix Corporation, Qingdao, China.
Lijun LiSinopec Matrix Corporation, Qingdao, China.
Yunjing JiSinopec Matrix Corporation, Qingdao, China.
Liu LiuThe Exploration Department of Jianghan Oilfield Branch Company, Sinopec, Qianjiang, China.
Chang XiaoCooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Ministry of Education & Hubei Province, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geothermal resources are green and environmentally friendly renewable energy. An accurate evaluation of geothermal resources will help subsequent efficient exploitation. However, to save costs and improve efficiency, core-free drilling and without mud logging are adopted in the actual exploration, which results in an inability to directly obtain the relevant evaluation parameters of a geothermal reservoir for exploration and evaluation. Well logging technology can effectively delineate the geothermal reservoir and determine the location of the major aquifer, while also allowing for the accurate measurement of key reservoir evaluation parameters, such as the shale content, porosity, and well temperature. Moreover, coupled with the calculated logging parameters, a volumetric method can be used to determine the regional geothermal reserves. This research takes the geothermal wells of the Guanghuasi Formation in the Qianjiang sag, Jianghan Basin as an example to conduct the application research. The findings can be of reference for similar geothermal wells in China and facilitate the development of "carbon neutrality."

Indexed as

geothermal resourcesgeothermal water wellJianghan BasinQianjiang sagwell logging technology

Identifiers

PMID37340771
PMCPMC10358482

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.