Research On The Algorithm For The Granularity Of Holes And Cracks In Core Images

The global demand for oil is increasing.On the other hand,oil is a non-renewable resource.With large-scale exploitation,the oil production rate of old oil fields is decreasing;many of the newly discovered oil fields are low-permeability oil and gas fields.Mining blindly will bring high input,low efficiency and low output.Therefore,a modern petroleum analysis system is needed to collect,extract,analyze and evaluate data to provide guidance for petroleum exploration.Different types of rocks have different pore sizes.In the natural world where we live,the pore rate of sedimentary rocks is relatively high.In-depth study of the core image hole calculation model can better improve the production capacity and production rate of natural oil and gas.In carbonate rocks,volcanic rocks,and metamorphic rocks,fractured reservoirs are the most developed,and fractures are generally still in a secondary position in the reservoir space,but the contribution of fractures to the permeability of the reservoir is generally as high as 90% or even More than 99%.This is another important oil and gas reservoir that is completely different from porous reservoirs such as sandstone and conglomerate.In the detailed analysis and description of the shape,scale,opening degree and mechanical properties of reservoir fractures,fractures are one of the important contents of reservoir description.The calculation of core image cracks can help to detect oil reservoirs,and it is also an important means of national petroleum energy exploration.The core image is that the sedimentary rock layers in the earth’s crust have changed their original occurrences under the action of tectonic movement,turning the horizontal rock layers into various curved shapes.The fracture structure where the rock strata does not have significant relative displacement along the fracture surface is called a fracture,which can be used as a channel for oil and gas storage space and oil and gas migration.With the scarcity of energy,the exploration and exploitation of oilfields will become increasingly important.The study of core cracks will become an important topic for oil and gas exploration and exploitation in the future.The traditional core crack calculation methods are mainly obtained by manual observation and statistical calculations.,The calculation results often have large errors.For the core image,the particle size in the rock varies greatly in the size distribution,grayscale,and geometric characteristics of the sparkles due to different causes.The size of the sparkles is in the gap size,spatial arrangement,and There are big differences in the degree of connectivity.The purpose of this paper is to study the algorithm for automatic extraction of fracture targets in core images and core granularity segmentation.The image is divided into several disjoint areas,so that the features with consistency or similarity are distributed in the same area,but in different areas.There are obvious differences between regions.