The Open Petroleum Engineering Journal




ISSN: 1874-8341 ― Volume 12, 2019

Production Forecasting of Coalbed Methane Wells Based on Type-2 Fuzzy Logic System



Lei Xu1, Kai Zhu2, Xiaoli Yang*, 3
1 Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang 641100, Sichuan, China
2 Research Institute of Yanchang Petroleum (Group) CO. Ltd, Xi'an 710052, China
3 College of Life and Science, Neijiang Normal University, Neijiang 641100, Sichuan, China

Abstract

Coal bed methane (CBM) reservoir production is controlled by a large set of parameters: geology, tectonics, reservoir, completion and operation. Its simulation process is complicated, relative information is difficult to be obtained, so it is necessary to analyze accurately coal bed gas potential production capacity by adopting other mathematics methods in case of incomplete information. Regarding this problem, a new type-2 fuzzy logic system (T2FLS) method to predict CBM production capacity is proposed in this paper. Methods analyze and assess input parameters of T2FLS by integrating qualitative analysis method and quantitative assessment method (Fuzzy cluster analysis and grey correlation degree analysis). Output parameters include cumulative average gas production, peak gas rate and time to achieve a peak rate. T2FLS production forecast method is applied to CBM wells of Hancheng mine and verification results show that such prediction results are highly consistent with the variation of the CBM well production. The proposed method required less data. The comparison of this method with the existed method (ANN, T1FLS) shows that the proposed method has notable advantage in generalization, stability and consistency.

Keywords: Coal bed methane, Fuzzy cluster analysis, Grey correlation degree analysis, Production prediction, Type-2 fuzzy logic system.


Article Information


Identifiers and Pagination:

Year: 2016
Volume: 9
First Page: 268
Last Page: 278
Publisher Id: TOPEJ-9-268
DOI: 10.2174/1874834101609010268

Article History:

Received Date: 12/03/2016
Revision Received Date: 21/08/2016
Acceptance Date: 27/09/2016
Electronic publication date: 30/11/2016
Collection year: 2016

Article Metrics:

CrossRef Citations:
0

Total Statistics:

Full-Text HTML Views: 941
Abstract HTML Views: 513
PDF Downloads: 218
ePub Downloads: 125
Total Views/Downloads: 1797

Unique Statistics:

Full-Text HTML Views: 453
Abstract HTML Views: 263
PDF Downloads: 151
ePub Downloads: 104
Total Views/Downloads: 971
Geographical View

© Xu et al.; Licensee Bentham Open

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.


* Address correspondence to this author at the College of Life and Science, Neijiang Normal University, Neijiang 641100, Sichuan, China; Tel: +86-18080221926; E-mail: 1986_xulei@163.com


Endorsements



"I have to express my sincere appreciation for your hard and professional work. Thank you very much!"


Si Zhang
Institute for Strength and Vibration of Mechanical Structures,
Yangtze University, Jingzhou,
Hubei Province,
China

"My experiences in publishing a paper with Bentham Open is good. I must say that the speed of publication in The Open Petroleum Engineering Journal is very fast. It takes only two month for the pioneer reviewing process. The delay was caused by me. And what’s more, the publisher’s office is quite helpful. I guess they are dealing with thousands emails every week, but they process my request in a very short period of time."


Xin Ma
School of Science, Southwest Petroleum University, Chengdu, China


Browse Contents



Webmaster Contact: info@benthamopen.net
Copyright © 2019 Bentham Open