Oil and gas trap analysis method

Abstract

The invention discloses an oil and gas trap analysis method. The method comprises: a trap optimization step: performing trap optimization on a to-be-analyzed trap set according to a geologic risk parameter and a first value parameter of a trap, to obtain a first trap subset, wherein the geologic risk parameter comprises an oil and gas bearing probability and / or an internal rate of return, and the first value parameter comprises at least one of a resource volume, a net present value, and an expected return; and an pre-exploration well optimization step: performing pre-exploration well optimization on the trap subset according to a strategic risk parameter and a second value parameter of the trap, and obtaining a required trap according to a pre-exploration well optimization result, wherein the strategic risk parameter comprises at least one of a pre-exploration well success rate, an engineering technology risk parameter, and a strategic value coefficient, and the second value parameter comprises an expected return and / or a strategic value. According to the oil and gas trap analysis method provided by the invention, the trap is analyzed by using a trap parameter that can comprehensively reflect trap properties and a product of different parameters, so as to obtain a more objective and accurate analysis result.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to an oil and gas trap analysis method. Background technique [0002] The fundamental purpose of oil and gas trap analysis is to provide a basis for the optimal decision-making of multiple trap targets. The results can effectively provide drilling targets for increasing oil and gas reserves and production, and promote the design and deepening of regional oil and gas exploration. Modern oil and gas trap analysis is playing an increasingly important role in oil and gas exploration, and various trap analysis techniques and methods have been continuously developed in practice. [0003] The existing trap analysis methods mainly use simple quadrant optimization and gray clustering to optimize traps. The quadrant optimization method is to select two types of evaluation parameters on the X axis and the Y axis, and set different optimal areas by defining diff...

AI Technical Summary

Problems solved by technology

The biggest problem with this method is that it cannot superimpose the optimal evaluation parameters based on economic benefits and other aspects at the same time, and it is impossible to further distinguish the differences of evaluation targets in different quadrants.

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