Method for classifying and evaluating carbonate reservoir physical properties while drilling

Abstract

The invention discloses a method for identifying carbonate reservoir physical properties while drilling. The method comprises the following steps: obtaining the nuclear magnetic analysis data and well log analysis data of the carbonate reservoir physical properties; performing correlation analysis on the nuclear magnetic analysis data and the well log analysis data, and creating a relationship between the nuclear magnetic analysis data and the well log analysis data; determining the nuclear magnetic analysis classification standards of a reservoir according to the relationship between the nuclear magnetic analysis data and the well log analysis data as well as the well log classification standards of the carbonate reservoir; identifying the carbonate reservoir while drilling by the nuclear magnetic analysis classification standards of the reservoir. Compared with a reservoir classification mode based on well log interpretation data, the physical property parameters of the horizontal-section reservoir can be quickly obtained by the nuclear magnetic analysis technology, so that the method provided by the invention can realize quantitative classification of the reservoir physical properties while drilling and accurate evaluation of reservoir quality.

Description

technical field [0001] The invention relates to the fields of geology and petroleum development, in particular to a method for classifying and evaluating physical properties of carbonate reservoirs while drilling. Background technique [0002] The traditional method to obtain reservoir physical parameters more accurately is to use core experiment analysis. However, the experimental analysis method of core analysis includes multiple links of sampling, sample delivery, indoor sample processing and indoor sample analysis, and the analysis cycle is long, which is not suitable for rapid identification of reservoir classification and reservoir evaluation, and making exploration and development decisions. [0003] Quantitative analysis of nuclear magnetic resonance physical properties is fast, but by comparison, the correlation coefficient between nuclear magnetic resonance porosity and logging porosity of complex reef-shoal carbonate reservoirs is 0.67-0.87, and the porosity inter...

AI Technical Summary

Problems solved by technology

Therefore, the NMR physical property analysis data while drilling cannot be evaluated by the logging reservoir rock classification standard

There is a lack of standards and methods for the classification and evaluation of NMR physical properties while drilling in the prior art

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