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- Title
Oil and Gas Drilling Core Digital Analysis System based on data sharing.
- Authors
ZHANG Cong; HAN Huiping; WANG Yanhong; FANG Ronghui; CHEN Weikun; LI Zhiwei; DONG Hu; TIAN Yingchun; LUO Jun; ZHANG Yunbo
- Abstract
Main ways to obtain the internal structure and composition parameters of oil and gas drilling cores are CT and scanning electron microscopy. In order to reduce the experimental cost and improve the ability of data sharing, moreover, supporting the comprehensive analysis of different resolution data of CT and scanning electron microscopy, an formation system integrating core data management, visualization and data analysis is designed and developed. The system which is based on B/S structure is named Oil and Gas Drilling Core Digital Analysis System (OGDCDAS). A 4layer layered architecture including supporting environment layer, data resource layer, analysis and service layer, and application layer is established in OGDCDAS. In addition, some key technologies such as 3D pore network modeling based on maximum ball method, core image feature extraction method based on UNet deep learning model are applied in the system. The results demonstrate that the OGDCDAS can firstly manage different kinds of core data, secondly generate key parameters of source rock evaluation and reservoir physical properties of source rocks efficiently, thirdly offer the researchers core data conveniently, avoiding the repeated analysis and the information island of core data to some extent, and finally provide some geological survey services and supports for the petroleum exploration and development.
- Publication
Journal of Northeast Petroleum University, 2022, Vol 46, Issue 6, p88
- ISSN
2095-4107
- Publication type
Article