Study on Multi-Scale Coral Reef Pore Structure Identification and Characterization

In order to more accurately realize the automatic identification and quantitative characterization of coral reef multi-scale pore structure, this paper has carried out such research. On the basis of using multiple information acquisition technology, it can effectively collect field measured data and indoor observation data to form a high-precision digital image of the development characteristics of multi-scale coral reef pore structure. By constructing the multi-scale structure information correlation and fusion function of coral reef pore structure, it can formulate the positioning and search strategy for the key areas of coral reef pore structure development characteristics. In this paper, a fine identification and quantitative characterization method suitable for the pore structure of millimeter-micron-nanometer is formed. At the same time, combined with the actual project requirements, the multi-scale pore structure feature area location method of coral reef is constructed, which combines the distribution characteristics, variation characteristics, fractal characteristics and shape characteristics in a certain range, and realizes the search of pore key areas between different scales and different regions of the same scale through the similarity matching algorithm, which can effectively realize the automatic search of key areas in the millimeter-micron-nanometer-scale image of coral reefs. Finally, the correctness and feasibility of this method are verified by multi-angle example data comparison. It shows that this method can effectively solve the productivity prediction and evaluation problem of coral reef oil and gas reservoirs.

Automated summary

This paper conducts research on the automatic identification and quantitative characterization of multi-scale pore structure in coral reefs. By using multiple information acquisition technology, it forms a high-precision digital image of the development characteristics of multi-scale pore structure. Through the construction of a multi-scale structure information correlation and fusion function, a fine identification and quantitative characterization method is developed for the millimeter-micron-nanometer pore structure. Moreover, a search strategy for key areas is formulated, and the automatic search of key areas is achieved through a similarity matching algorithm. The correctness and feasibility of this method are verified through comparison with example data.