Deep learning for predicting porosity in ultra-deep fractured vuggy reservoirs from the Shunbei oilfield in Tarim Basin, China

Abstract Deep and ultra-deep carbonate reservoirs in China, which account for 34% of the country’s oil and gas reserves, pose significant challenges for porosity prediction due to their complex geological features, including extensive burial depth, weak seismic signals, and high heterogeneity. To ad...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Ziyan Deng, Dongsheng Zhou, Hezheng Dong, Xiaowei Huang, Shiping Wei, Zhijiang Kang
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-11-01
Subjects:	Tarim basin Shunbei Fractured-vuggy reservoirs Porosity Deep learning
Online Access:	https://doi.org/10.1038/s41598-024-81051-4