Training image establishing method based on field outcrop three-dimensional model

Abstract

The invention discloses a training image building method based on a field outcrop three-dimensional model, and the method comprises the steps: firstly selecting a field outcrop block, obtaining fieldoutcrop model data based on an unmanned plane oblique photography technology, and building a three-dimensional quantitative space model of a field outcrop; establishing a reservoir geological knowledge base, and counting reservoir skeleton model parameters; setting outcrop model virtual well points, generating X, Y and Z virtual well point coordinate information data files, virtual well point lithology distribution data and horizon depth data of different virtual wells, and establishing a three-dimensional grid skeleton model of a field outcrop area by utilizing three-dimensional modeling software based on the generated data; and simulating a field outcrop three-dimensional lithologic model through sequential indication based on a two-point statistical method of a variation function; calculating plane lithology contour line distribution data of different layers by using an arithmetic weighted average method, and establishing a training image three-dimensional space distribution model in combination with a reservoir geological knowledge base, so that the problem that a more accurate training image is difficult to obtain at present is solved.

Description

technical field [0001] The invention belongs to the technical field of field outcrop modeling, and relates to a training image establishment method based on a three-dimensional model of a field outcrop. Background technique [0002] At present, 3D geological modeling technology has made great progress, from deterministic modeling to stochastic modeling, and then developing multi-point geostatistical modeling methods, as well as integrating multi-disciplinary information and integrating multi-algorithms to establish a model that is closer to geological reality . However, the amount of data information in this process has always been the key factor controlling the accuracy of the geological model. The outcrop section data in the field has a large amount of information, but due to the lack of accurate section positioning information to quantitatively characterize the two-dimensional irregular correlation outcrop section, and Difficult to make full use of, mainly for observatio...

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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a training image establishment method based on a three-dimensional model of field outcrops to solve the problems caused by the low degree of quantification of field outcrop data and the difficulty in fusing multiple irregular section data associated with geological causes. Understanding the problem of one-sidedness, and the problem that the training image acquisition method of the existing field outcrop 3D geological model is difficult to obtain more accurate training images due to insufficient data in quantification and visualization

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