Brittleness index prediction method of tight reservoir based on grey correlation and analytic hierarchical process-Reference-Cited by-同舟云学术

Brittleness index prediction method of tight reservoir based on grey correlation and analytic hierarchical process

Published:2023-02-07 Issue: Volume: Page:1-25
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Fang Xinxin¹²^ORCID,Feng Hong²,Zhang Zhen³,Li Fengling⁴

Affiliation:

1. China Coal Research Institute, Beijing, China

2. China Coal Technology & Engineering Group Xian Institute, Xi’an, China

3. Oilfield Technology Service Company of Xinjiang Oilfield Company, PetroChina, Karamay, China

4. Karamay Hongshan Oilfield Co., Ltd of Xinjiang Oilfield Company, PetroChina, Karamay, China

Funder

National Natural Science Fund of 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/10.1080/10916466.2023.2172431

Reference41 articles.

1. Artificial Intelligence-Based Model of Mineralogical Brittleness Index Based on Rock Elemental Compositions

2. Estimation of the drop modulus using the brittleness index of intact rock and geological strength index of rock mass, case studies: Nosoud and Zagros tunnels in Iran

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