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Electric imaging logging fracture-cavity recognition method and system and pore structure characterization method

An identification method and technology of pore structure, applied in surveying, earthwork drilling, wellbore/well components, etc., can solve the problem of difficult to achieve high-precision automatic identification and separation of fractures and caves, and difficult to eliminate stratigraphic bedding and muddy strips. , the denoising effect is not ideal, etc.

Pending Publication Date: 2021-02-05
BC P INC CHINA NAT PETROLEUM CORP +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to overcome the unsatisfactory denoising effect in the above-mentioned prior art, the formation bedding and muddy bands are difficult to remove, and the existing interpolation method does not consider the intrinsic relationship between the conductivity data of formation lithology and structural changes. Correlation degree makes it difficult to realize the technical problem of high-precision automatic identification and separation of fracture-vuggy bodies in electrical imaging logging. Provide a method, system and characterization method for electrical imaging logging fracture-cavity identification

Method used

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  • Electric imaging logging fracture-cavity recognition method and system and pore structure characterization method
  • Electric imaging logging fracture-cavity recognition method and system and pore structure characterization method
  • Electric imaging logging fracture-cavity recognition method and system and pore structure characterization method

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Experimental program
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Embodiment 1

[0102] One-dimensional electrode plate data noise suppression and formation matrix low-frequency components (stratum bedding and muddy bands, etc.) are eliminated based on an adaptive morphological algorithm.

[0103] 1. Construction of adaptive multi-scale structural elements

[0104] Morphological operators and structural elements determine the operational characteristics of morphology. The key to morphological operations is how to select structural elements, especially the length and height of structural elements. Therefore, adaptively selecting structural elements to enable multi-scale morphological processing functions plays an important role in effectively extracting morphological features of different scales in the signal.

[0105] The composition of structural elements has aspects such as amplitude, shape and size. Among them, there are many shapes, and the commonly used ones are flat, triangular and semicircular. It is necessary to carry out experimental analysis of...

Embodiment 2

[0124] Example 2: The method of reconstructing the two-dimensional conductivity data of the whole borehole by the interpolation method of singular spectrum analysis

[0125] 1. Blank band interpolation method for singular spectrum analysis

[0126] During the measurement process, the plates of the electrical imaging logging tool did not cover the entire borehole, which resulted in the lack of conductivity data in the image and the phenomenon of blank strips. In this embodiment, a singular spectrum analysis interpolation method is introduced to reconstruct the two-dimensional conductivity data of the whole borehole.

[0127] (1) Apply Fourier transform to the two-dimensional imaging conductivity data to obtain two-dimensional conductivity data in the frequency domain;

[0128] (2) Applying a singular spectrum interpolation method to each frequency slice of the two-dimensional conductivity data in the frequency domain;

[0129] For each frequency slice S={s 1 ,s 2 ,...,s N}...

Embodiment 3

[0138] Example 3: An automatic identification and extraction of cracks and holes based on path morphology algorithm

[0139] 1. Basic principles of path morphology

[0140] 1.1 Adjacency

[0141] It is known that the discrete two-dimensional image domain E is a set of pixel points, and a is used to represent the directional relationship between each pixel point in E, which is called the adjacency relationship of pixel points. The set E and the adjacency relations it satisfies form a directed graph, namely the adjacency graph.

[0142] x a y means that there is a path from x to y, and y is called the successor point of x, and x is the predecessor point of y. Knowing the adjacency relationship "a", for any subset X(x∈X) in the image domain set E:

[0143] δ(X)={y∈E|x a y} (7)

[0144] In the formula, δ(X) is all subsequent point sets corresponding to the previous point of X set.

[0145] 1.2 Path opening operation

[0146] If set a={a 1 ,a 2 ,...,a L} satisfy a k a a ...

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Abstract

The invention discloses an electric imaging logging fracture-cavity recognition method and system and a pore structure characterization method, and belongs to the technical field of petroleum logging.Aiming at a measurement signal of a one-dimensional button electrode plate, a one-dimensional adaptive morphological algorithm is adopted, noise suppression is realized, interference information of stratum matrix low-frequency components such as muddy strips and stratification is eliminated, the purpose of enhancing fracture-cave body information on an electric imaging graph is achieved, a singular spectrum analysis interpolation method is applied to fill a blank strip of the electric imaging graph, and an automatic identification and extraction method for cracks and corroded holes is established for a two-dimensional electric imaging graph. According to the method, the problems that stratification and muddy strips are difficult to remove and the denoising effect is not obvious in the prior art can be solved, and the singular spectrum analysis interpolation method also considers the internal correlation degree between stratum lithology and conductivity data of structural changes, so that the accuracy of fracture-cavity automatic identification can be remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of petroleum logging, and relates to an electrical imaging logging fracture-cavity identification method, a system and a pore structure characterization method. Background technique [0002] Electrical imaging logging uses the downhole detection electrode array to scan and measure the borehole wall, and transmits the measured electrical information of a large number of formations around the wellbore to the ground acquisition system in real time through cables. After a series of image processing, Obtain a two-dimensional conductivity image reflecting wellbore information. Because of its advantages of high coverage and high resolution, it can directly reflect the lithology, pores, fractures and reservoir fluid information of the formation in the wellbore, and is widely used in logging interpretation and evaluation of oil exploration. Extracting fracture-vuggy information from its images has become a key step ...

Claims

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Application Information

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IPC IPC(8): E21B47/00E21B49/00
CPCE21B47/00E21B49/00
Inventor 李曦宁李剑平沈金松张莉莉李振苓
Owner BC P INC CHINA NAT PETROLEUM CORP
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