IMECH-IR  > 流固耦合系统力学重点实验室
A Study on Optimization of CBM Water Drainage by Well-Test Deconvolution in the Early Development Stage
Gao DP(高大鹏); Liu YW; Guo ZD; Han J; Lin JD; Fang HJ; Ma HL; Tsai SB
Source PublicationWATER
2018-07-01
Volume10Issue:7Pages:929
ISSN2073-4441
AbstractDifferent from the conventional gas reservoir, coalbed methane is developed mainly by water drainage, which leads methane desorption after reservoir pressure drop. Water drainage at a reasonable speed in the early development stage is the key for enhancing later gas performance. Therefore, the investigation radius, which reflects the pressure drop region scale, is studied by deconvolution well-test to find the reasonable water drainage speed in the early period. First, the early production data (well-bottom pressure and water rate) are processed by deconvolution algorithm, and then the pressure data under unit rate is obtained to invert the comprehensive reservoir permeability and investigation radius. This deconvolution method can save the cost of the conventional well-test, and avoid reservoir damage caused by frequent well shut-off. The feasibility of the deconvolution test method is verified by comparing its interpretation results with those of the conventional pressure drop/build-up test. For a field application, the 29 wells' comprehensive permeability are inverted by the deconvolution well-test using early water production data of Hancheng block. Furthermore, their investigation radius and pressure drawdown gradient are calculated, and the performance optimization is determined by relationship analysis between working fluid level and steady gas production rate. We find that well-bottom pressure and reservoir pressure should decrease steadily in the early development stage, with the working fluid level declining less than 1 m/d (1 m per day) in wellbore, and the pressure drawdown gradient declining less than 2.8 MPa/100 m.
Keywordcoalbed methane wells sustainable energy deconvolution comprehensive permeability performance optimization energy materials CBM water
DOI10.3390/w10070929
URL查看原文
Indexed BySCI ; EI
Language英语
WOS IDWOS:000442579700112
WOS KeywordCOALBED METHANE WELLS ; RESERVOIRS
WOS Research AreaWater Resources
WOS SubjectWater Resources
Funding OrganizationNational Natural Science Foundation of China [11702300] ; PetroChina Innovation Foundation [2017D-5007-0208]
Classification二类
Ranking1
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Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/77898
Collection流固耦合系统力学重点实验室
Affiliation1.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
3.PetroChina Coalbed Methane Co Ltd, Beijing 100028, Peoples R China
4.Univ Elect Sci & Technol China, Zhongshan Inst, Zhongshan 528400, Peoples R China
Recommended Citation
GB/T 7714
Gao DP,Liu YW,Guo ZD,et al. A Study on Optimization of CBM Water Drainage by Well-Test Deconvolution in the Early Development Stage[J]. WATER,2018,10(7):929.
APA 高大鹏.,Liu YW.,Guo ZD.,Han J.,Lin JD.,...&Tsai SB.(2018).A Study on Optimization of CBM Water Drainage by Well-Test Deconvolution in the Early Development Stage.WATER,10(7),929.
MLA 高大鹏,et al."A Study on Optimization of CBM Water Drainage by Well-Test Deconvolution in the Early Development Stage".WATER 10.7(2018):929.
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