Reservoir classification method and system

Abstract

The invention relates to the technical field of reservoir research, and discloses a reservoir classification method and system. The method includes the steps that firstly, a mercury injection experiment is conducted on a rock core to acquire mercury injection experimental data of the rock core, and then pore structures of the rock core are classified according to the mercury injection experimental data of the rock core to acquire classification types of the pore structures of the rock core; standard mercury injection coefficients are calculated through a formula; the classification types of the pore structures of the rock core are combined with the standard mercury injection coefficients to acquire classification types of comprehensive parameters of reservoirs; scales of the rock core are utilized to conduct logging, and actual mercury injection coefficients are extracted from a logging curve; the classification types of the comprehensive parameters of the reservoirs are combined with the actual mercury injection coefficients to classify the reservoirs, and then classification types of the reservoirs are acquired. By the adoption of the method, continuous classification of the reservoirs within a conventional logging depth reservoir range is achieved, classification efficiency of the reservoirs is improved, and reliable reservoir classification parameters and bases are provided for evaluation of large-area reservoir exploration and petroleum reservoir exploitation of China at present.

Description

technical field [0001] The invention relates to the technical field of reservoir research, and is mainly applicable to reservoir classification methods and systems. Background technique [0002] The comprehensive evaluation of logging reservoir classification is the ultimate embodiment of the research results of reservoir pore structure. The proposal and application of classification standards for low-porosity and low-permeability reservoirs are of great significance to oil and gas exploration and development. Due to the strong heterogeneity of low porosity and low permeability reservoirs, the evaluation of pore structure is the core of comprehensive evaluation of reservoir classification. How to deeply analyze the relationship between the microscopic characteristics of various reservoirs and logging responses, optimize the parameter classification and evaluation criteria that can reflect the quality of reservoirs, and then find high-quality reservoirs for reasonable develo...

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Problems solved by technology

[0006] For the microscopic reservoir classification method, the classification is mainly based on the petrophysical experimental data of the core sample. Due to the long experimental period and low efficiency, it can only be classified qualitatively, and cannot achieve efficient classification of the entire well interval reservoir;

[0007] For the macro-reservoir classification method, due to many factors affecting the oil test and production test data, the use of single-factor oil test production calibration logging is relatively regional, and it cannot explain the quality of the reservoirs in the whole area, so it is difficult to be widely used

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