Quantitative classification and identification method for oil sand interlayers

Abstract

The invention relates to a quantitative classification and identification method for oil sand interlayers. The quantitative classification identification method comprises the following steps: firstly, dividing interlayers of a cored well into interlayers type I, interlayers type II and interlayers type III; secondly, on the basis of classifying conditions of the interlayers of the cored well in the first step, sampling all the interlayers of the cored well, and measuring logging curve values of cored well samples corresponding to all the classified interlayers in belonged depth sections; thirdly, respectively drawing frequency distribution histograms of natural gamma logging values and density curve logging values of the interlayers of different types, taking characteristic values corresponding to the natural gamma logging values, and taking characteristic values corresponding to the density curve logging values; fourthly, establishing an XOY coordinate system, wherein X coordinates are natural gamma curve characteristic values, and Y coordinates are density curve characteristic values, and forming a quantitative classification and identification chart for the interlayers of the oil sand; fifthly, judging the types of the interlayers of a non-cored well according to the quantitative classification and identification chart for the interlayers of the oil sand, obtained in the fourth step.

Description

technical field [0001] The invention relates to an identification method, in particular to an identification method for quantitative classification of oil-sand interlayers. Background technique [0002] Oil sand is a viscous mixture composed of sand, water, bitumen and clay. It has the characteristics of high viscosity, high density and high carbon-hydrogen ratio. It is one of the important unconventional resources. According to the characteristics of oil sands, steam-assisted gravity drainage is often used for oil sand production, and interlayers are the key geological factors affecting the oil sands mining effect, and their classification and identification have important guiding significance for oil sands development. [0003] Oil-sand interlayers refer to formations dominated by mudstone. The predecessors mainly used outcrop, core and imaging logging data to qualitatively identify interlayers combined with the geological experience of researchers. This method is costly ...

AI Technical Summary

Problems solved by technology

The predecessors mainly used outcrop, core and imaging logging data to qualitatively identify interlayers combined with the geological experience of researchers. This method is costly and requires high geological experience for researchers, and it cannot be used for interlayers in non-coring wells. Quantitative identification, operation procedures are difficult to standardize, and the results are highly uncertain, which is not conducive to the efficient and high-speed development of oil sands

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