A Method for Evaluating Reservoir Performance of Granite Reservoir

Abstract

The invention discloses a granite reservoir stratum reservoir performance evaluation method. The method includes the following steps that comprehensive collection is conducted on conventional logging information, cores, image logging and comprehensive stratum evaluation results of drilled wells in a work area; a work index calculation model is established on the basis of logging engineering parameters, and a work index trend line is fit out; a work index ratio model is established, a calculation result of the work index ratio is obtained, and qualitative identification is conducted on granite reservoir stratums according to the monitored logging engineering parameters; three reservoir stratum development characterization coefficient calculation models of the rock integrity, the reservoir stratum development degree and the rock stability are established; regional granite reservoir stratum recognition and stratum reservoir performance quantitative evaluation standards are established; quantitative evaluation of reservoir stratum reservoir performance of a new exploratory area or a mature exploratory area is completed. According to the method, the granite reservoir stratum recognition accuracy is improved, quantitative optimization evaluation of the granite reservoir stratum reservoir performance is achieved, and requirements in actual geological application are met.

Description

technical field [0001] The invention relates to the technical field of petroleum and natural gas exploration and development, in particular to a method for evaluating the reservoir performance of granite reservoirs. Background technique [0002] Reservoir evaluation is an important link in oil and gas exploration and development. For granite formations, the identification of reservoirs and the rapid evaluation of reservoir performance have important guiding significance for drilling safety and development plan formulation. In the past evaluation methods of reservoir performance, logging and mud logging have adopted various methods, but all have their own limitations: [0003] At present, for the evaluation of granite reservoirs, the most effective methods mainly include electromagnetic direction finder (EMG-200), X-ray computer tomography (CT) scanner, micro-Lambda logging, annular acoustic logging, full-well A series of new instruments and new technologies such as formatio...

AI Technical Summary

Problems solved by technology

Compared with mud logging methods, this type of method has a greater improvement in the qualitative identification of reservoirs, which can reach about 90%, but requires more calculation parameters for quantitative evaluation of reservoirs, and the evaluation model is affected by the development of reservoirs. Larger, the evaluation results are often in error with the evaluation results of the existing technology imaging logging

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