A Study on Optimization of CBM Water Drainage by Well-Test Deconvolution in the Early Development Stage | |
Gao DP(高大鹏); Liu YW(刘曰武); Guo ZD; Han J; Lin JD; Fang HJ; Ma HL(马海玲); Tsai SB | |
发表期刊 | WATER |
2018-07-01 | |
卷号 | 10期号:7页码:929 |
ISSN | 2073-4441 |
摘要 | Different 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. |
关键词 | coalbed methane wells sustainable energy deconvolution comprehensive permeability performance optimization energy materials CBM water |
DOI | 10.3390/w10070929 |
URL | 查看原文 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000442579700112 |
关键词[WOS] | COALBED METHANE WELLS ; RESERVOIRS |
WOS研究方向 | Water Resources |
WOS类目 | Water Resources |
项目资助者 | National Natural Science Foundation of China [11702300] ; PetroChina Innovation Foundation [2017D-5007-0208] |
论文分区 | 二类 |
力学所作者排名 | 1 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/77898 |
专题 | 流固耦合系统力学重点实验室 |
作者单位 | 1.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 |
推荐引用方式 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 | Gao DP.,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 | Gao DP,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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