Evidence map›Paper›PMID 39072143›Full record

ArticleACS omega2024

A Semianalytical Model for Advanced Description of Pressure Drop Funnel during Coalbed Methane Production.

Xinlu Yan, Shuheng Tang, Xiaokang Fu, Xianshu Dong, Zhongcheng Li, Zhiyu Deng, Yanjun Meng

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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

7 authors.

Xinlu YanCollege of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China.ORCID https://orcid.org/0009-0004-2527-1752
Shuheng TangSchool of Energy, China University of Geosciences (Beijing), Beijing 100083, China.
Xiaokang FuChina United Coalbed Methane (Shanxi) LTD., Taiyuan 030032, China.
Xianshu DongCollege of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China.ORCID https://orcid.org/0000-0002-6565-5847
Zhongcheng LiChina United Coalbed Methane (Shanxi) LTD., Taiyuan 030032, China.
Zhiyu DengChina United Coalbed Methane (Shanxi) LTD., Taiyuan 030032, China.
Yanjun MengCollege of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced description of pressure drop funnel is crucial in coalbed methane (CBM) production because of dewatering and depressurization methods. Improving the precision of the pressure drop funnel description facilitates obtaining the actual production status and productivity potential, both pivotal for responsible development plans. The study presents a semianalytical model that integrates pressure profiles and material balance equations, incorporating inner and outer boundary conditions, and dynamic reservoir characteristics. The pressure propagation characteristics in undersaturated coal reservoirs are described during the production life of CBM wells, and the model is validated using two wells with different production characteristics. The results indicate that the effect of water saturation on the expansion of the drainage radius surpasses that of the desorption radius, demonstrating a more precise prediction of the production boundary when dynamic water saturation is considered. Additionally, a rapid drop rate of bottomhole flowing pressure triggers simultaneous propagation of the drainage and desorption radii, resulting in a smaller production boundary and fewer well-controlled resources. Conversely, an appropriate production strategy results in a larger drainage radius and lower boundary pressure before massive gas desorption, thereby facilitating efficient propagation of the pressure drop funnel. Moreover, the pressure drop funnel characterized by the model can compute the dynamic CBM resources and recovery efficiency of a single well, providing a valuable basis for assessing productivity potential. In summary, this model offers a time-saving and practical tool for describing the dynamic pressure drop funnel in various CBM production stages and promoting efficient development for undersaturated CBM reservoirs.

Identifiers

PMID39072143
PMCPMC11270698

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