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Unbiased crack characterization method

A characterization and deviation technology, applied in image data processing, instruments, calculations, etc., can solve problems such as artifacts, deviations, and high crack density, and achieve accurate and efficient characterization

Active Publication Date: 2020-06-19
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This type of characterization method overcomes the shortcomings of linear scans, but can produce artifacts
When fractures are truncated by the scanning window, fractures that should not be included in the statistics are recorded. This characterization method often leads to a higher density of fractures than the actual one, resulting in bias

Method used

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Embodiment

[0077] This embodiment provides an unbiased fracture characterization method, including fracture density characterization and fracture strength characterization. The characterization method includes the following steps:

[0078] Step 101: View outcrop, geological model or seismic fracture attribute data as an image composed of individual pixels. Suppose the gray level of the image is K, and there are m pixels with the gray level i of a certain pixel i (i=0, 1, 2, ..., K), the total pixels have

[0079] Step 102: The probability that a certain pixel appears is P i =m i / M, according to the probability calculation formula, obtain the probability distribution histogram.

[0080] Step 103: According to the peak and inflection point of the histogram, the original image is initially divided into N categories, and N-1 segmentation thresholds are required, and the threshold set t={t k |k=1, 2, 3, ..., N-1}, and let t 0 = 0, t N = S, and given the multi-threshold intra-class v...

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Abstract

The invention relates to an unbiased fracture characterization method, and belongs to the field of oil and gas geological fracture evaluation. The fracture characterization method comprises fracture density characterization and fracture strength characterization. The characterization method comprises the following steps: acquiring outcrop, geologic model or seismic fracture attribute data, and performing binarization processing by adopting a multi-threshold method to obtain fracture basic image data; scanning partial positions of the crack basic image data by adopting a scanning window to obtain a calculation region image; marking the end points of the cracks and the intersection points of the cracks and the boundary of the scanning window on the calculation area image, and connecting thecorresponding end points and intersection points according to the linear direction of the cracks to obtain crack identification lines; counting the number of the endpoints to obtain a total endpoint number; calculating the crack density according to the total endpoint number and the area of the scanning window; and calculating the crack strength according to the total endpoint number and the radius of the scanning window. The crack characterization method is wide in application range, is not limited by the size of a selected scanning window, and is quick in implementation process.

Description

technical field [0001] The invention belongs to the field of oil and gas geological fracture evaluation, and in particular relates to a non-deviation fracture characterization method. Background technique [0002] Understanding and systematically analyzing fracture development patterns and their geometric properties is important in many disciplines related to the earth sciences. Such as structural geology, tectonics, rock physics, geophysics and hydrogeology. [0003] At present, based on data such as fracture models, rock fracture outcrops, and digital images containing fractures, methods to describe the geometric characteristics of fracture density and strength mainly use some statistical methods in mathematics, such as probability density functions and cumulative distribution functions. Fracture density is often defined as the number of fractures per unit area (1 / m 2 ), the number of cracks is calculated by counting the center points of cracks. [0004] At present, som...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/62
CPCG06T7/0002G06T7/11G06T7/136G06T7/62G06T2207/10004G06T2207/30184
Inventor 符力耘简世凯
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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