Method and system for quantitatively evaluating eyelid of carbonate source rock

A carbonate rock, quantitative evaluation technology, applied in the field of quantitative evaluation of carbonate source rock eyelids, can solve the problems of high proportion of eyelids, inability to continuously drill cores of all formations, and complex vertical rock structure, etc. To achieve accurate and reasonable calculation results

Pending Publication Date: 2021-12-10
CHENGDU UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

However, at present, researchers mainly express the high or low ratio of eyelids qualitatively through core observations, and there is a lack of methods that can directly and quantitatively evaluate eyelids, which seriously restricts the exploration and development of carbonate source rocks.
[0004] The problems and defects of the existing technology are: the existing technology mainly expresses the level of eyelid content qualitatively through core observation, and is limited by the cost of downhole coring, so it is impossible to continuously drill cores of all formations, nor can it be observed through cores The method qualitatively expresses the eyelid content of all formations downhole, which seriously restricts the exploration and development of carbonate source rocks
[0005] The difficulty in solving the above problems and defects is: carbonate source rocks have strong heterogeneity, characterized by complex rock structures and variable mineral compositions in the vertical direction, and the resolution of conventional well logging is low, making it impossible to achieve high-precision quantitative evaluation The eyelids of carbonate source rocks

Method used

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  • Method and system for quantitatively evaluating eyelid of carbonate source rock
  • Method and system for quantitatively evaluating eyelid of carbonate source rock
  • Method and system for quantitatively evaluating eyelid of carbonate source rock

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preparation example Construction

[0064] The preparation sample set provided by the embodiment of the present invention, and dividing the prepared sample set into a training set and a test set include:

[0065] Select the electrical imaging image of the research area, and adjust the size of the electrical imaging image to 192×92 pixels; combined with the core features of the research area, the eyeball and eyelid structure are the main features, and the abnormal electrical imaging, various cracks, various dissolution holes and other The construction features are other features, and the electroimaging images are divided into 8 categories, 80% of all samples are randomly selected as the training set, and the remaining 20% ​​are used as the test set.

[0066] The convolutional neural network provided by the embodiment of the present invention is provided with an input layer, a multi-layer convolution pooling layer, a pooling layer, a fully connected layer and an output layer;

[0067] Each layer contains multiple ...

Embodiment 1

[0081] The present invention uses the micro-resistivity imaging logging instrument to collect data and process it to obtain an electrical imaging image, conducts region segmentation on the electrical imaging image to obtain each feature image, then uses a convolutional neural network algorithm to automatically identify the eyelid part in the image, and finally extracts the eyelid The proportion of eyelids is calculated by the total number of some pixels, realizing continuous and quantitative evaluation of eyelids of carbonate source rocks.

[0082] (1) Using the micro-resistivity imaging logging tool to collect data and process the electrical imaging image, and perform regional segmentation on the electrical imaging image

[0083] The raw data collected by the micro-resistivity imaging logging tool reflects the conductivity of the formation around the well, and the electrical imaging image is obtained by processing the raw data. The grayscale playback method can continuously di...

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Abstract

The invention belongs to the technical field of carbonate reservoir evaluation, and discloses a method and a system for quantitatively evaluating the eyelid of the carbonate source rock. The method for quantitatively evaluating the eyelid of the carbonate source rock comprises the following steps: using a micro-resistivity imaging logging instrument to collect data and process the data to obtain an electric imaging image; carrying out region segmentation on the electric imaging image to obtain each feature image; automatically recognizing an eyelid part in the image by using a convolutional neural network model; calculating the eyelid content by extracting the total number of eyelid part pixels, and continuous quantitative evaluation of the eyelid of the carbonate rock hydrocarbon source rock is achieved. According to the method, the eyelid content of the carbonate source rock can be continuously and quantitatively evaluated through micro-resistivity imaging logging, the calculation result is accurate and reasonable, and the exploration and development efficiency of the carbonate rock hydrocarbon source rock reservoir is improved. The method is low in cost, convenient to use, and accurate and reasonable in calculation result compared with a stratum core.

Description

technical field [0001] The invention belongs to the technical field of carbonate reservoir evaluation, in particular to a method, system and readable storage medium for quantitatively evaluating carbonate source rock eyelids. Background technique [0002] With the continuous increase of world oil and gas demand and the continuous decrease of conventional oil and gas production, unconventional oil and gas resources with great resource potential, such as coalbed methane, tight gas, shale gas, shale oil, etc., have gradually become the key fields of exploration and development . Carbonate source rocks are a special type of reservoir between shale and conventional carbonate rocks. In recent years, industrial gas flows have been discovered and tested in carbonate source rocks, confirming the , especially the carbonate source rocks in the Sichuan Basin have great potential for natural gas exploration. [0003] Carbonate source rocks have an eyeball-like structure (also known as ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T5/00G06N3/04G06N3/08
CPCG06T7/0004G06T7/11G06T7/136G06T5/002G06N3/08G06T2207/20081G06N3/045
Inventor 王亮庄文刘宇张浩
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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