Automatic reservoir model identification using syntactic pattern recognition in well test interpretation-Reference-Cited by-同舟云学术

Automatic reservoir model identification using syntactic pattern recognition in well test interpretation

Published:2022-11-11 Issue: Volume: Page:1-25
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Yang Sihan¹^ORCID,Liu Qiguo¹,Li Xiaoping¹²,Xu Youjie³

Affiliation:

1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, P.R. China

2. Petroleum Engineering School, Southwest Petroleum University, Chengdu, P.R. China

3. Chongqing University of Science and Technology, Chongqing, P.R. China

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2022.2143808

Reference26 articles.

1. Bourdarot, G. 1998. Well testing interpretation methods.

2. Bourdet, D., Ayoub, J. and Plarad, Y.1989. , Use of pressure derivative in well-test interpretation. SPE Formation Evaluation 4(02):293–302.

3. Cox, J. S. 2014. The development of an artificial neural network as a pressure transient analysis tool with application to multi-lateral wells in tight-gas dual-porosity reservoirs.Pennsylvania State University.

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