Research on Result Prediction of Coal-Bed Gas Wells Fracturing by Using Expert System

Chi Ai; Chao Yang Hu; Yu Wei Li; Feng Jiao Wang

doi:10.4028/www.scientific.net/AMR.734-737.1445

Paper Titles

Regional Estimation of Block Oilfield Rock Physical Parameters
p.1425

Research on Coupled Flow in Deformation Medium Reservoir with Cave
p.1429

Research on Efficient Microbial Enhanced Oil Recovery Technology Based on Low-Temperature Heavy Oil
p.1434

Research on Residual Oil Distribution Regular of Steam Flooding after Polymer Flooding
p.1440

Research on Result Prediction of Coal-Bed Gas Wells Fracturing by Using Expert System
p.1445

Research on the Control Method of High Power APF for Oil Drilling Rig
p.1450

Research on the Controlling Factors and Grate Prediction of the Output of Pulverized Coal in Hancheng Block, Eastern Ordos Gas Field
p.1460

Study on CO₂ Injection for Enhancing the Oil Recovery at Gao89 Block in Shengli Oilfield
p.1464

Study on Streamline Distribution of Horizontal Linear well Pattern in Anisotropic Reservoirs
p.1468

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737Research on Result Prediction of Coal-Bed Gas...

Research on Result Prediction of Coal-Bed Gas Wells Fracturing by Using Expert System

Abstract:

Hydraulic fracturing is the main method to increase the output of coal-bed methane wells, however, the hydraulic fracturing result of coal-bed methane well is usually affected by large number of factors such as the conditions of coal-bed, the conditions of coal-bed methane well, fracturing operation parameters and so on. As a result, the fracturing operation result is difficult to predict. This paper assumed coal seam thickness, the depth of coal seam, coal seam gas content and other six main factors which affect hydraulic fracturing results by analysis various factors. Membership function of the expert system was established to divide the level of each factor. The established method which applies the expert system to predict the hydraulic fracturing results of coal-bed methane wells was based on expert database. Using the established expert system to calculate 200 groups of test data and the prediction error rate is only 3.5%. The prediction results are accurate and reliable, and can provide guidance for coal-bed methane wells fracturing optimization.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

1445-1449

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.1445

Citation:

Cite this paper

Online since:

August 2013

Authors:

Chi Ai, Chao Yang Hu, Yu Wei Li, Feng Jiao Wang

Keywords:

Artificial Intelligence (AI), Coalbed Gas, Expert System, Fracturing Result Prediction, Hydraulic Fracturing

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Yan Qun, Wang Qingwei and Li Jinhai.Influence of CBM Exploitation on Environment. Coal Geology of China. Vol. 20 (2008),pp.57-59, In Chinese.

Google Scholar

[2] DAI Lin, FAN Hu, HU Wen-ting and lL Juan et al. Coalbed methane well Fracturing injection technology and effect evaluation. Inner Mongolia Petrochemical Industry. Vol. 17(2011), P.59-61, In Chinese.

Google Scholar

[3] Wang Yuhai,Yan Guifang and Xie Wenqing et al. Evaluation Method of Fracturing Effect for Coal-Bed Gas Wells. Well Testing. Vol.19(2010):44~47, In Chinese.

Google Scholar

[4] Zhang Jinpeng and Yu Zhongming. Exploitation and accomplishment of the expert system for selecting the method of gas drainage in coalfield. Mining & Processing Equipment. Vol.09(2009):31~35, In Chinese.

Google Scholar

[5] Wang Yanbin, Ni Xiaopeng and Wang Xianghao et al.Design and Practices of Development Decision System for Coal Bed Methane.Coal Science and Technology. Vol.07(2011):75~78, In Chinese.

Google Scholar