Reservoir modeling method for predicting internal structure of high-sinuosity meandering river reservoir

Abstract

The present invention discloses a reservoir modeling method for predicting an internal structure of a high-sinuosity meandering river reservoir. The method comprises the following steps of: step 1, acquiring reservoir structure unit data of an outcrop, modern deposition and a tank experiment; step 2, acquiring up-well reservoir structure unit parameters by means of well data analysis; step 3, establishing a structure unit description function by means of the acquired structure unit parameters; and step 4, by using structure unit data of the outcrop, the modern deposition, the tank experiment and a well point as constraints and adopting a hierarchical modeling method, establishing a structure unit model of the meandering river reservoir. The reservoir modeling method is beneficial for establishing a fine, object and quantitative three-dimensional model of the internal structure of the meandering river reservoir, oil-gas recovery can be greatly improved and the reservoir modeling method can be widely applied to the technical field of oil-gas exploration and development.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a reservoir modeling method for predicting the internal structure of a meandering river reservoir with high curvature. Background technique [0002] In the middle and late stages of reservoir development, the internal structure of meandering river reservoirs, such as abandoned channels and lateral accretion bodies, has become prominent in controlling the distribution of oil and gas. Excavating remaining oil and enhancing oil recovery requires detailed description and modeling of the internal structure of the reservoir. [0003] There are three main ways to establish the meandering river reservoir distribution method: one is the method based on the target, including the method based on the deposition process; the other is the modeling method based on the pixel; the third is the human-computer interaction interpretation method. However, the traditio...

AI Technical Summary

Problems solved by technology

However, the traditional target-based method is too large to describe the meandering river target volume, and cannot describe the distribution of lateral accretion bodies in meandering river reservoirs.

However, the sedimentary process-based modeling method cannot be applied in actual reservoirs due to technical reasons such as well data conditioning; the pixel-based modeling method is difficult to consider the sedimentary origin and reservoir morphology, and cannot meet the requirements for the internal structure of meandering river reservoirs. For model requirements, see figure 1

Although the human-computer interaction interpretation method can better integrate the geologist's thinking into the anatomy of the internal structure of the reservoir, the workload is huge, and its research is more limited to the study of the well group scale, and the actual application research of the whole reservoir is very difficult.

In addition, artificial interpretation varies from person to person, and there is artificial randomness in the interpretation, which lacks objectivity and standards.

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