Sand-mud interbed reservoir developmental zone earthquake prediction method based on big data analysis

Abstract

A sand-mud interbed type reservoir developmental zone earthquake prediction method based on big data analysis comprises the following steps: 1, building a mass sand-mud interbed type geologic model based on the deposition characteristics of a drilled reservoir, and obtaining a transition probability matrix; 2, constructing a 0-degree incident PP wave reflection seismic record of the model in a forward modeling algorithm and a 90-degree phase Ricker wavelet simulation model; 3, screening a model trace data set which is highly matched with the seismic record waveform of the actual stratum through a big data analysis technology, and carrying out normalization processing, and matching a record closest to the actual seismic waveform in the big data model according to a formula; and 4, obtaining quantitative prediction and characterization of the reservoir dominant developmental zone earthquake. According to the invention, seismic forward modeling is realized; moreover, the probability density distribution of the sand-to-ground ratio corresponding to the corresponding geologic model and the maximum single-layer sand body thickness is obtained through statistics, the reservoir development degree is indicated, and meanwhile, the uncertainty of interpretation is quantified.

Description

technical field [0001] The invention belongs to the technical field of geophysical exploration, and in particular relates to a method for predicting earthquakes in sand-mud interbedded reservoir development zones based on big data analysis. Background technique [0002] At present, fluvial sand-mudstone reservoirs have geological characteristics such as variable depositional models, thin sand bodies, rapid lateral changes, and interbedded development. Therefore, their seismic reflection characteristics are relatively complex, and it is difficult to accurately describe the reservoirs. How to accurately construct the mapping relationship between sand body thickness and seismic wave field characteristics is still the key to prediction of thin intersand-mudstone reservoirs at this stage. [0003] Sand body thickness (Widess) proposes a single thin layer smaller than the tuned thickness, which can be described by a linear relationship between thickness and amplitude, see Sand Bod...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting earthquakes in sand-mud interbedded reservoir development zones based on big data analysis, so as to solve the technical problems of uncertainty explained and overly dependent on seismic response and lack of geological constraints

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