Reservoir feature evaluation based on conventional methods and holographic digital core description Taking the Daning Jixian block as an example
Based on the development characteristics of coal and rock in the Daning Jixian block,a combination of CT scanning and conventional logging techniques was used to invert the virtual gray scale profile of coal and rock and fine classify the coal seam structure using core CT scanning.Three coal and rock composition curves were established:vitrinite content,crust+inertinite content,mineral content,classification of gangue and macroscopic coal and rock types,calculation of organic matter abundance in coal and rock sections,and determination of coal seam structure types.Quantitative determination of the specific macroscopic coal rock component content in coal seam sections using the gray scale profile of coal rock effectively achieves the evaluation of organic matter abundance in single well coal seams.Combined with the distribution of thin gangue and organic matter abundance,it can effectively provide optimization guidance for fracturing section selection.
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