Facies Quality Zoning in Shale Gas by Deep Learning Method

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Asgari Nezhad Yousef; MORADZADEH ALI

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Journal Paper

Paper Information

Journal: JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES) Year:2021 | Volume:12 | Issue:1 Page(s): 271-280

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Information Journal Paper

Title

Facies Quality Zoning in Shale Gas by Deep Learning Method

Author(s)

Asgari Nezhad Yousef | MORADZADEH ALI | Issue Writer Certificate

Keywords

Facies quality zoning

Deep learning

Petro-physical logs

Seismic

Canning basin

Abstract

One of the most essential factors involved in unconventional gas reserves for drilling and production is a suitable quality facies determination. The direct core and geochemical analyses are the most common methods used for studying this quality. Due to the lack of this data and the high cost, the researchers have recently resorted to the indirect methods that use the common data of the reservoir (including petrophysical logs and Seismic data). One of the major problems in using these methods is that the complexities of these reproducible repositories cannot be accurately modeled. In this work, the quality of facies in shale gas is zoned using the Deep learning technique. The applied method is long short-term memory (LSTM) neural network. In this scheme, the features required for zoning are automatically extracted and used to model the reservoir complexities properly. The results of this work show that zoning is done with an appropriate accuracy (86%) using the LSTM neural network, while it is 78% for a conventional intelligent MLP network. This specifies the superior accuracy of the Deep learning method.

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APA: Copy

Asgari Nezhad, Yousef, & MORADZADEH, ALI. (2021). Facies Quality Zoning in Shale Gas by Deep Learning Method. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), 12(1 ), 271-280. SID. https://sid.ir/paper/662307/en

Vancouver: Copy

Asgari Nezhad Yousef, MORADZADEH ALI. Facies Quality Zoning in Shale Gas by Deep Learning Method. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)[Internet]. 2021;12(1 ):271-280. Available from: https://sid.ir/paper/662307/en

IEEE: Copy

Yousef Asgari Nezhad, and ALI MORADZADEH, “Facies Quality Zoning in Shale Gas by Deep Learning Method,” JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), vol. 12, no. 1 , pp. 271–280, 2021, [Online]. Available: https://sid.ir/paper/662307/en

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