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Training image generation method for restricted deep-water turbidite channel system

A training image, restrictive technology, applied in design optimization/simulation, geometric CAD, etc., can solve problems such as difficulty in training images, and achieve the effect of reducing difficulty

Active Publication Date: 2021-11-02
YANGTZE UNIVERSITY
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Problems solved by technology

At present, domestic scholars have a certain degree of understanding of the sedimentary evolution and sedimentary configuration models of the restricted turbidite channel system, but how to obtain training images of the restricted turbidite channel system is a difficult problem

Method used

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  • Training image generation method for restricted deep-water turbidite channel system
  • Training image generation method for restricted deep-water turbidite channel system
  • Training image generation method for restricted deep-water turbidite channel system

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Embodiment 1

[0102] According to the actual situation of the work area, the grid division of the training image is determined to be 120×200×36, the number of original grid points is 3,200,000, and the grid size is 3(m)×3(m)×0.5(m).

[0103]1. According to geological research, the parameter characteristics of multiple restrictive turbidite channel systems are counted, combined with the actual statistical parameters of the research area, the input parameter library for simulation is formed. Among them, the single turbidite channel has a depth of 3-10 meters, a width-to-depth ratio of 10-40, and a curvature range of 1.0-5.4; a composite channel system has a depth of 50-150 m, and a width-to-depth ratio of 5-20; restrictions The permanent turbidity channel system passes through the entire work area, the main direction is 180°, the depth range is 100-200m, and the width-to-depth ratio range is 5-200; statistics show that there are an average of 5 single channels in the composite channel, and the...

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Abstract

The invention relates to a method for generating a training image of a restricted deep-water turbidity channel system. The method includes repeatedly generating composite channels, calculating the sand-ground ratio after each composite channel is generated, and terminating the generation of the restrictive turbidity channel system according to the sand-ground ratio; Wherein, each composite waterway is independently selected from one of the lateral migration composite waterway, the horizontal lateral forward movement composite waterway, the oblique vertical migration composite waterway and the swinging vertical migration composite waterway. The method of the present invention is designed through statistics of data characteristics such as the type, scale parameter and morphological parameters of the complex channel system inside the restricted turbidity channel system in the research area, and in combination with the understanding of the formation and distribution of the restricted turbidity channel system in geology. A method for automatically simulating the evolution of a restricted deep-water turbidite channel system, and a new method for establishing training images for a restricted deep-water turbidite channel system.

Description

technical field [0001] The invention belongs to the technical field of oil and gas exploration and development, and in particular relates to a training image generation method for a restricted deep-water turbidite channel system. Background technique [0002] Deep water channels are important reservoir units in deep water oilfields, containing rich oil and gas resources. There is no unified plan for the division of turbidite channel system configuration at home and abroad. At present, the 7-level configuration unit division scheme of Lin Yu (2013) is widely used, mainly from three types: single channel, composite channel and channel system. Hierarchical study of sedimentation patterns in turbidite channels. The water channel system (canyon or large incision channel) is a large-scale unit (Xie Xie Nong, 2012; Yu Shui, 2012), which is composed of superimposed composite channels of different styles. The configuration patterns are quite different. Zhang Wenbiao (2017) took th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F30/18
Inventor 尹艳树胡迅冯文杰
Owner YANGTZE UNIVERSITY
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