Open AccessStudy on automatic recognition method of Continental Shale Sandy laminae based on electrical imaging image
Author(s) -
Guotong Zhang,
Daojie Cheng,
Yayi Hou,
Zhenlin Li,
Lulu Zhong
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/2/022019
Subject(s) - geology , oil shale , lithology , stratum , quartz , petrology , geochemistry , mineralogy , geotechnical engineering , paleontology
Aimed at the characteristics of complex continental shale lithology, the development of sandy striae, and the difficulty of artificial recognition. In this paper, the sandy texture of the Chang 7 shale gas reservoir in the Mesozoic of the Yanchang Oilfield is taken as the research object. First, the core fine observation description and X-ray diffraction analysis of the whole rock minerals were carried out to determine the development characteristics of sandy striae of continental shale. Then the research focuses on methods such as full-wellbore wall restoration, automatic identification of the striae boundary, and construction of the striae development index model for the electric imaging log images. Finally, comprehensive evaluation is made on the sandy stratum of the extended continental shale gas reservoir. The results show that the mineral types of Changqi shale in the study area are mainly clay minerals, quartz and feldspar, and the average thickness of sandy lamina is 1.93cm, with a layer density of 26 layers/m. After verification and analysis with core description, the method based on image recognition can accurately identify the striae layer, which lays a foundation for shale gas layer selection in the study area.