Research on intelligent identification of microscopic substances in shale scanning electron microscope images based on deep learning theory.

ABSTRACT: Image observation method is a key method for shale reservoir evaluation. At the micro scale, scanning electron microscope images can be used to accurately understand the structural characteristics of shale. Most of the current research is to artificially identify the microstructure of shale. This approach has subjective limitations and makes it difficult to process images in batches on a large scale. We take the scanning electron microscope image as the research object, and the shale deep learning theory as the research method to realize the intelligent identification of microscopic substances in the shale scanning electron microscope image. The results show that the improved deep learning model performs better than other deep learning models. The maximum values of Precision, Recall, mAP50

SUBMITTER: Zhang R 

PROVIDER: S-EPMC11973146 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature