Fuzzy logic and grey clustering analysis hybrid intelligence model applied to candidate-well selection for hydraulic fracturing in hydrocarbon reservoir-Reference-Cited by-同舟云学术

Fuzzy logic and grey clustering analysis hybrid intelligence model applied to candidate-well selection for hydraulic fracturing in hydrocarbon reservoir

Published:2020-09-17 Issue:19 Volume:13 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Gou Bo,Wang Chuan,Yu Ting,Wang Kunjie

Funder

China Postdoctoral Science Foundation

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-020-05970-y.pdf

Reference46 articles.

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3. Anifowose F, Labadin J, Abdulraheem A (2013) A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction. Neural Comput & Applic 23:179–190. https://doi.org/10.1007/s00521-012-1298-2

4. Barree RD, Miskimins JL, Svatek KJ (2018) Reservoir and completion considerations for the refracturing of horizontal wells. SPE Prod Operations 33(01):1–11

5. Barrett JD (2007) Advanced fuzzy logic technologies in industrial applications. Springer London, 494-495

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