Prediction and effectiveness study of fracture distribution based on an artificial neural network technology and production performance data detection method: a case study of Ordovician carbonate formation in the Tahe oilfield, Tarim Basin-Reference-Cited by-同舟云学术

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Prediction and effectiveness study of fracture distribution based on an artificial neural network technology and production performance data detection method: a case study of Ordovician carbonate formation in the Tahe oilfield, Tarim Basin

Published:2024-03-18 Issue: Volume: Page:1-16
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Ma Hailong¹,Jiang Lin¹,Wang Zhen¹,Wen Huan¹,Zhang Changjian¹,Han Pengyuan²³^ORCID,Zhang Ziyou²³

Affiliation:

1. Research Institute of Petroleum Exploration and Development, Northwest Oilfield Company, Sinopec, Urumqi, China

2. School of Energy Resources, China University of Geosciences, Beijing, China

3. Key Laboratory for Marine Reservoir Evolution and Hydrocarbon Abundance Mechanism, Ministry of Education, China University of Geosciences, Beijing, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2024.2328786

Reference37 articles.

1. On the Capability of Support Vector Machines to Classify Lithology from Well Logs

2. Fracture, Dissolution, and Cementation Events in Ordovician Carbonate Reservoirs, Tarim Basin, NW China

3. Applications of machine learning for facies and fracture prediction using Bayesian Network Theory and Random Forest: Case studies from the Appalachian basin, USA

4. Outline of a theory of thought-processes and thinking machines

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