METHODS article
Front. Earth Sci.
Sec. Solid Earth Geophysics
This article is part of the Research TopicFrontiers in Borehole Multi-Geophysics: Innovations and ApplicationsView all 12 articles
Research on Low-Production Causes and Logging Evaluation Methods of Coalbed Methane Wells: A Case Study of the Baode Block
Provisionally accepted
- 1China Petroleum Logging CO. LTD., Xi'an, China
- 2Geological Research Institute of China Petroleum Logging Co., Ltd, Xi’an, Shanxi, China
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Analysis of the Causes of Low Productivity in Coalbed Methane Wells, using the Baode Block as a case study. It investigates the reasons for low productivity in mature CBM wells and develops logging interpretation methods to reassess and tap the remaining potential of these wells, thereby revitalizing existing resources. Given the development status of the Baode Block—characterized by a high proportion of mature wells, rapid production decline, and low wellhead pressure—this research integrates logging, fracturing, well testing, production testing, and production dynamic data to summarize the causes of low productivity. Innovatively establish a well potential evaluation method for the Baode Block's mature wells based on key indicators such as logging parameters, reservoir conditions, structural conditions, engineering conditions, and estimated gas production. The final output includes potential well segments, potential levels, and stimulation plans for identified wells. Application of the method in the Baode Block has yielded significant results: the average production increase in stimulated potential wells exceeded 1,000 cubic meters per day, and the average single-well increase in estimated ultimate recovery (EUR) exceeded 3 million cubic meters. The effectiveness of this approach provides valuable guidance for understanding the causes of low productivity in mature wells and enhancing reserves and production in the study.
Keywords: Baode area, Coalbed methane, Old well, Low production reason, Well logging, Potential review
Received: 16 Sep 2025; Accepted: 15 Dec 2025.
Copyright: © 2025 Zhang, Li, Li, Pei, Liu and Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jinhai Zhang
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