Three-dimensional reconstruction method of shale digital core based on deep learning and support vector machine
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI UNIVERSITY OF ELECTRIC POWER
- Publication Date
- 2020-11-27
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Abstract
Description
technical field
[0001] The present invention relates to a method for three-dimensional reconstruction of digital rock cores, in particular to a method for three-dimensional reconstruction of shale digital rock cores based on deep learning and support vector machines. Background technique
[0002] With the continuous depletion of conventional gas reservoirs, the development and production of unconventional oil and gas resources such as shale gas reservoirs has received increasing attention. The flow of shale gas in the reservoir is a complex multi-scale flow process, and the gas flow mechanism is obviously different from that of conventional gas reservoirs. As the storage and flow carrier of shale gas, the rock pore structure of shale reservoirs is complex, with pore sizes ranging from nanometers to micrometers, accompanied by naturally developed micro-fractures, and the pores and gas in fractures of different sizes Occurrence states are different from motion characteristics...