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Updated: Jul 25, 2026

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
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卷积式自动编码器网络基于抓取测试的石质识别

Suling Wang1, Zhihui Ren1, Kangxing Dong2

  • 1School of Mechanical Science and Engineering, Northeast Petroleum University, 199 Fazhan Rd, High-Tech Developing Zone, Daqing, 163318, Heilongjiang, China.

Scientific reports
|August 19, 2025
PubMed
概括

这项研究引入了一种新的方法,用于识别页岩石结构,使用测试数据和卷积自编码器网络 (CAE). 该CAE方法实现了高精度,改善了利亚奥盆地的水库建模.

关键词:
在CAE网络中,CAE网络是指CAE网络.大陆页岩是大陆上的页岩.石器学识别识别方法识别大小 识别大小抓测试是为了测试.

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相关概念视频

Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...