Method for predicting reservoir for middle and small-sized glutenite bodies

Abstract

The invention relates to a method for predicting a reservoir for middle and small-sized glutenite bodies. According to the invention, the method includes the following steps: firstly analyzing the seismic data of an area under research, selecting an area which have poor continuity of linups, hard-to-track seismic horizons, and explicitly differences in steady reflection from the periphery; then using the chaotic technology to detect the irregular attributes of a region having poor imaging in the area to obtain a chaotic body data body, superposing the chaotic body data body with the original seismic data of the region to form a superposed display image of the chaotic body and a seismic body; displaying the chaotic body data in 3 dimensional image which locates a seismic abnormal body through perspective; finally based on the 3 dimensional image displayed and the superposed cross section of the chaotic body, conducting analysis in combination with the drilling data of the area under research, explaining the result in terms of geology, and determining the advantageous position of oil gas. Through the aforementioned process, according to the invention, the method can better demonstrate the spatial changes of lithologic and lithic facies of the glutenite bodies, and provide another strong means for the description of the reservoir.

Description

technical field [0001] The invention relates to a method for predicting reservoirs of medium and small glutenite bodies, belonging to the technical field of petroleum exploration and development. Background technique [0002] In petroleum physical exploration technology, in the conventional reservoir prediction process, it is necessary to interpret seismic data, perform attribute extraction, seismic inversion and other related calculations, and then analyze the calculated results to identify the possibility of reservoir development Areas and intervals, so as to complete the reservoir prediction work. The existing reservoir prediction technology is more effective for the simple and relatively thick single sand body with obvious characteristics; but for the area near the steep slope belt, the multi-stage superposition of the sand body in the vertical direction and the frequent swing migration in the lateral direction lead to its In the case of strong heterogeneity, poor event...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a reservoir prediction method for small and medium-sized glutenite bodies, which solves the problem that small and medium-sized glutenite bodies are difficult to identify when the seismic horizon cannot be tracked in areas near steep slopes

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