Research on Image Identification Method of Rock Thin Slices in Tight Oil Reservoirs Based on Mask R-CNN

Research on Image Identification Method of Rock Thin Slices in Tight Oil Reservoirs Based on Mask R-CNN

Terrestrial tight oil has extremely strong diagenesis heterogeneity, so a large number of rock thin slices are needed to reveal the real microscopic pore-throat structure characteristics. In addition, difficult identification, high cost, long time, strong subjectivity and other problems exist in the...

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Bibliographic Details
Main Authors: Tao Liu, Chunsheng Li, Zongbao Liu, Kejia Zhang, Fang Liu, Dongsheng Li, Yan Zhang, Zhigang Liu, Liyuan Liu, Jiacheng Huang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
tight oil reservoir
rock thin slices
characteristics identification
deep learning
unconventional oil and gas
Online Access:https://www.mdpi.com/1996-1073/15/16/5818

Internet

https://www.mdpi.com/1996-1073/15/16/5818

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