Boolean simulation method for sandbody with complicated morphology

Abstract

The invention discloses a Boolean simulation method for a sandbody with the complicated morphology. The method comprises the steps that a blank template is firstly built, the shape of the transverse section of the river channel sandbody is drawn according to the width and depth of the river channel section to obtain a shape template, all nodes of the shape template form a two-dimensional matrix K, and when the nodes of the shape template are located in the shape of the transverse section of the river channel sandbody, the matrix element km,n=1; when the nodes of the shape template are located outside the shape of the transverse section of the river channel sandbody, the matrix element km,n=0; a work area grid G with the dimensionlity of W*H is defined, all nodes of the work area grid G are sequentially accessed through a Boolean algorithm, values of all the nodes, corresponding to the nodes of the work area grid G, in the shape template are assigned to the nodes, and a section model of the sandbody with the complex geometrical morphology is obtained. According to the Boolean simulation method for the sandbody with the complicated morphology, determination of the shape of the transverse section of the river channel sandbody is not restricted by an elliptical shape parameter, a sandbody image with the complex geometrical morphology is built and Boolean simulation is performed, and therefore the simulation result is truer.

Description

technical field [0001] The invention belongs to the technical field of oil reservoir description, in particular to a Boolean simulation method of sand bodies with complex shapes. Background technique [0002] Reservoir 3D geological modeling technology and reservoir numerical simulation technology play an important role in supporting the efficient development of oil fields. Require. The Boolean method is the simplest algorithm in the reservoir modeling method. The principle of the Boolean method is as follows: [0003] Let U be a coordinate random variable, X k is a parametric random variable that characterizes the geometric features (shape, size, direction) of the kth class of objects; the distribution of the center points of the kth class of geometric objects constitutes a point process U, which can be used by the shape stochastic process X k and the index stochastic process I representing the presence or absence of the kth class of geometric objects k The joint distri...

AI Technical Summary

Problems solved by technology

This can meet the modeling requirements of common fluvial reservoir sand body structures, but this Ellipsim algorithm cannot describe sand body shapes with complex geometries, such as channel sand bodies with lenticular shape, whose geometry

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