Science & Technology Review
|
2016, 34(24): 106-109
• Articles •
Application of deconvolution-based pressure buildup analysis to offshore low-permeability gas reservoirs
Full
WANG Fei1, AN Yu2
Affiliations
1. College of Petroleum Engineering, China University of Petroleum(Beijing), Beijing 102249, China;
2. College of Resources & Safety Engineering, China University of Mining & Technology, Beijing 100083, China
Published: 2016-12-28
doi: 10.3981/j.issn.1000-7857.2016.24.015
Outline
Current well test analysis techniques are mainly based on the analysis of individual flow periods, usually the longest build-up period in the test. They provide limited reservoir information and sometimes an incorrect diagnosis of the reservoir model. In this paper, a deconvolution-based pressure buildup analysis method evolved with our deconvolution algorithms is proposed to solve the costy test issue of offshore low-permeability gas reservoirs. The proposed method utilizes short-term pressure buildup and long-term flowrate history to recover the true reservoir pressure response. The workflow for the proposed method is provided, and a synthetic case is used to verify the correctness of the method. It is shown that for fractured gas wells with 1md permeability formation, 120m fracture half-length and infinite conductivity, it takes 22 hours of buildup testing to detect the formation radial flow regime, while using the proposed method, it only takes 1 hour to finish the fracturing parameters calculation as long as production history before the test is available, which greatly saves time and cost. A field case in China East Sea is further presented to prove the feasibility of the proposed method.
well test analysis
/
fractured wells
/
deconvolution
/
pressure buildup
/
offshore low-permeability
王飞, 安宇.
反卷积压力恢复试井分析方法在海上低渗透气藏的应用.
科技导报,
2016
, 34
(24)
: 106
-109
.
DOI: 10.3981/j.issn.1000-7857.2016.24.015
WANG Fei, AN Yu.
Application of deconvolution-based pressure buildup analysis to offshore low-permeability gas reservoirs[J].
Science & Technology Review,
2016
, 34
(24)
: 106
-109
.
DOI: 10.3981/j.issn.1000-7857.2016.24.015
Year 2016 volume 34 Issue 24
PDF
627
182
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2016.24.015
- Receive Date:2015-10-20
- Online Date:2017-02-07
- Published:2016-12-28