Yangtze University

Yaohui Xu

Yan Liu

Zhigang Wen

Guangyou Zhu

Feilong Wang

Qingyong Luo

Wenxiang He

Meijun Li

Xiangchun Chang

Junping Huang

Yongjing Tian

Shuchun Yang

Lei Lan

The invention provides an intelligent quantitative microscopic identification system for whole rock polished sections, which can greatly improve the collection efficiency of whole rock polished sections by adopting a microscopic collecting apparatus. In a preferable technical solution, the microscopic collecting apparatus is combined with the production line for the automatic preparation of whole rock polished sections to form an integrated system, which realizes an automatic solution from preparation to collection, therefore further improves the production and collection efficiency of whole rock polished sections, and which can cope with production, image collection and automatic scanning and splicing of mass whole rock polished sections, so it greatly improves the collection efficiency of the microscopic images of organic components for whole rock polished sections. People can collect 500 to 1000 sample pieces of whole rock polished sections in 12 hours by adopting the solution of the invention.

Intelligent quantitative microscopic identification system and intelligent identification method for whole rock polished sections

The invention discloses a dolomite reservoir prediction method and system based on well and seismic combination, and storage medium. The method steps include: obtaining the dolomite index characteristic curve through well log sensitivity analysis, and distinguishing the dolomite and limestone according to the difference in their response range; after the artificial intelligence deep learning is performed on the dolomite index characteristic curve of the drilling area, the dolomite index characteristic curve of the virtual drilling area is obtained; according to the dolomite index characteristic curve of the drilling area and the virtual drilling area, the post-stack seismic data is used for inversion to obtain the distribution and development status of the dolomite reservoir in the test area. The invention effectively distinguishes the dolomite and limestone through the dolomite index characteristic curve, and accurately predicts the distribution and development status of the dolomite reservoir in the test area with less wells.

Dolomite reservoir prediction method and system based on well and seismic combination, and storage medium

Growing community of inventors

Wuhan, China

Yaohui Xu