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A method for establishing training images of branched channel delta fronts

A technology for training images and establishing methods, which is applied in the field of establishing front-edge training images of branched river deltas, can solve the problems of large workload, low efficiency, and no targeted methods for automatic establishment of three-dimensional images, and achieves bifurcation and confluence. , the effect of improving efficiency

Active Publication Date: 2021-05-07
YANGTZE UNIVERSITY
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Problems solved by technology

However, due to the complex characteristics of converging and bifurcating in the delta front branch channels, there is no targeted method for its automatic establishment, and the manual drawing of 3D images is heavy workload and low efficiency

Method used

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  • A method for establishing training images of branched channel delta fronts
  • A method for establishing training images of branched channel delta fronts
  • A method for establishing training images of branched channel delta fronts

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Experimental program
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Embodiment 1

[0106] 1. According to the actual situation of the work area, the grid division of the training image is determined to be 100×100×20, the number of original grid points is 200,000, and the grid size is 10(m)×10(m)×1(m). Among them, the length of the delta front reservoir deposition range is 950 meters, the width is 300 meters to 900 meters, the main channel length ranges from 800 meters to 930 meters, the main channel width is 90 meters to 200 meters, and the main channel thickness is 9 meters to 18 meters , the length of the secondary channel is 150 meters to 600 meters, the width of the secondary channel is 45 meters to 160 meters, the thickness of the secondary channel is 5 meters to 12 meters, the angle between the secondary channel and the main channel is 20 degrees to 40 degrees, and the azimuth angle is 2 to 30 degrees. Spend. Rivers account for 20%.

[0107] 2. Use the existing measurement data to determine the provenance direction and determine the depositional range...

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Abstract

The present invention relates to a kind of branch channel type delta front training image establishment method, in the method, the generation of each channel all comprises sub-steps (1): obtain the sedimentary origin of the channel within the sedimentary range of the delta front reservoir; sub-steps ( 2): Forming the channel filling body; sub-step (3): throwing the channel filling body into the sedimentary range of the delta front reservoir to develop, and judging whether bifurcation and confluence during the development process; and sub-step (4): judging the channel Proportion. The method of the invention solves the problem of automatic acquisition of the training image of the branch channel type delta front, can quickly convert the statistical data into a digital model, and realizes the bifurcation and confluence of the channel.

Description

technical field [0001] The invention belongs to the technical field of oil and gas exploration and development, and in particular relates to a method for establishing a training image of a branch channel type delta front. Background technique [0002] Delta reservoirs contain a large amount of oil and gas, and branch channels are the main reservoirs. Accurate prediction of branch channels is of great significance for oil and gas exploration and development. Underwater, the shape of the branch channel is curved and complex. The traditional modeling method based on variogram only considers the spatial correlation of two points, and can only describe the simple linear relationship, but it is difficult to describe the shape of the curved branch channel. The newly developed multi-point geostatistics can better reproduce the meandering shape characteristics of the branch channel through the combination of multiple points in space. However, multi-point geostatistics needs to draw...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/05G06F30/20G06F111/10
CPCG06T17/05G06F30/20
Inventor 尹艳树王立鑫张昌民冯文杰尹太举
Owner YANGTZE UNIVERSITY
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