Method and device for predicting spatial distribution of glutenite based on chaotic properties

Abstract

The invention relates to a method and device for predicting the spatial distribution of glutenite based on chaotic properties, and belongs to the technical field of geophysical prospecting for petroleum. In the invention, a tensor algorithm is used to obtain a three-dimensional spatial variable of the seismic reflection amplitude, a gradient vector for each point is calculated, and a corresponding gradient covariance matrix is established. The chaotic properties of an earthquake are calculated using the eigenvalue of the covariance matrix. The distribution of glutenite is predicted by using the chaotic properties. Since the chaotic properties can well reflect the change point of the seismic reflection cophase axis, the structural abrupt change point, the fault breakpoint, the reservoir heterogeneity change point, and highlight the internal reflection structure and boundary of the special geological body, minor fault and microcrack. Therefore, the method and device can effectively reflect the sedimentary characteristics and tectonic morphology of the small glutenite and non-homogeneous special geological body, describe the internal reflection structure of the glutenite, predict the strong sedimentary facies belt, and provide the basis for the well site deployment.

Description

technical field [0001] The invention relates to a method and device for predicting the spatial distribution of glutenite bodies based on chaotic attributes, and belongs to the technical field of petroleum geophysical exploration. Background technique [0002] With the deepening of oil and gas exploration and development, the small glutenite body in the steep slope zone of oil and gas basins (sags) has become an important target of oil and gas exploration. Attribute description techniques cannot effectively describe small glutenite bodies. How to strengthen the research on the processing method and interpretation method of 3D seismic attributes is an important research topic in seismic exploration. It is necessary to make full use of 3D seismic information and use special attribute processing and interpretation methods to describe the spatial distribution of glutenite bodies. [0003] The 3D seismic data contain abundant information on the structure of underground geologica...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting the spatial distribution of glutenite bodies based on chaotic attributes, so as to solve the problem that the current spatial distribution prediction method for glutenite bodies cannot effectively describe the internal structure of glutenite bodies; the present invention also provides a method A Device for Predicting Spatial Distribution of Glutenite Masses Based on Chaotic Attributes

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