Petroleum Science and Technology, pages 1-20

Prediction of conductivity of propped fractures in shale reservoir based on neural network

Tao Zhang ¹

Shuying Yang ¹

Fei Wang ¹

Tiancheng Liang ²

Chi Chen ¹

Jian Chun Guo ¹

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University |

Research Institute of Petroleum Exploration and Development

Publication type: Journal Article

Publication date: 2025-03-13

Taylor & Francis

Journal: Petroleum Science and Technology

scimago Q3

wos Q3

SJR: 0.325

CiteScore: 2.9

Impact factor: 1.3

ISSN: 10916466, 15322459

DOI: 10.1080/10916466.2025.2477646

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Publisher

Taylor & Francis

Journal

scimago Q3

wos Q3

SJR

0.325

CiteScore

2.9

Impact factor

1.3

ISSN

10916466 (Print)

15322459 (Electronic)