Sand body prediction method and system based on seismic attributes of target layer and adjacent layer

Abstract

The invention relates to a sand body prediction method and system based on seismic attributes of a target layer and an adjacent layer. The method comprises the following steps of extracting the thickness of a sand body at a well point of the target layer, and carrying out fine horizon interpretation on seismic horizons of the target layer and the adjacent layer; extracting a seismic attribute value near the well point, and selecting the seismic attributes capable of reflecting target parameters through analysis of the correlation between the seismic attributes near the well point and the thickness of the sand body of well logging interpretation; taking the thickness of the sand body of well logging interpretation of the target layer as a target data set, taking the seismic attribute valuesnear the well points of the target layer and the upper and lower adjacent stratums as a training sample data set, taking all of target data and training data as input data, and carrying out nonlinearmapping to obtain a trained multiple regression model; and fusing seismic attribute layer slices of the target layer and the upper and lower adjacent stratums according to the trained multiple regression model in order to obtain a fused seismic attribute graph capable of reflecting the thickness distribution of the sand body of the target layer, thereby completing the sand body distribution prediction.

Description

technical field [0001] The invention relates to the technical field of seismic attribute analysis and prediction, in particular to a sand body prediction method and system based on the seismic attributes of a target layer and an adjacent layer. Background technique [0002] With the improvement of the quality of 3D seismic data, seismic attribute analysis technology has achieved rapid development and is widely used in reservoir prediction. However, in the actual production process, how to use seismic attribute analysis technology to improve the interpretation accuracy of reservoirs has always been the direction of continuous efforts of geological interpreters. At present, in improving the reservoir prediction accuracy of seismic attributes, many scholars are mainly working on the following two aspects: one is to explore new seismic attributes, in order to better identify the distribution of reservoirs through more reasonable mathematical algorithms; The second is to make re...

AI Technical Summary

Problems solved by technology

Therefore, only based on the amplitude attribute of the target layer, there are obvious multi-solutions, and it is impossible to accurately predict the sand body distribution of the target layer

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