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Rock feature prediction model training method and device and rock feature prediction method

A prediction model and training method technology, applied in the field of oil and gas exploration, can solve problems such as large errors, low recognition accuracy, and low efficiency of manual experiments, and achieve the effects of reducing test cycles, improving recognition accuracy, accurate recognition and mechanical performance prediction

Pending Publication Date: 2022-06-03
CHINA UNIV OF PETROLEUM (BEIJING)
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Problems solved by technology

[0003] The traditional mineralogy test method is to polish the tested rock material with argon ions, use the scanning electron microscope to obtain the imaging and shape information of the rock components, and then use the atomic force microscope to test the same position to obtain the mechanical and height information. This method has the disadvantages of low manual experiment efficiency, low recognition accuracy, and large errors.
[0004] Aiming at the problems of low recognition accuracy and large errors in current mineralogy testing, a method for predicting rock composition and mechanical properties is urgently needed

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  • Rock feature prediction model training method and device and rock feature prediction method
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  • Rock feature prediction model training method and device and rock feature prediction method

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[0056] In order to make those skilled in the art better understand the technical solutions in this specification, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings in the embodiments. Obviously, the described implementation Examples are only some of the embodiments herein, but not all of the embodiments. Based on the embodiments herein, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection herein.

[0057]It should be noted that the terms "first", "second" and the like in the description and claims herein and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances such that the embodiments herein described can be practiced in sequences other th...

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Abstract

The invention relates to the field of oil-gas exploration and development, in particular to a rock feature prediction model training method and device and a rock feature prediction method. Comprises: acquiring a historical rock sample; acquiring a rock component image of the historical rock sample and a corresponding rock component label; obtaining an atomic force microscope image of the historical rock sample and a corresponding mechanical information label; the rock component image, the rock component label, the atomic force microscope image and the mechanical information label serve as training samples, a rock feature prediction model is trained, the rock component label and the mechanical information label are different labels at the same position of the same rock, and the rock component label and the mechanical information label are different labels at the same position of the same rock. The rock component label and the mechanical information label have a corresponding relation. According to the scheme, the features in the rock image are rapidly identified, rapid positioning, accurate identification and mechanical property prediction of the rock components in the rock image are realized, the identification precision of the rock components is improved, and the test efficiency is improved.

Description

technical field [0001] This paper relates to the field of oil and gas exploration, especially a rock feature prediction model training method and device, and a rock feature prediction method. Background technique [0002] Mineralogical tests can identify the composition of rock minerals and predict their mechanical properties and other important information, and play an important role in petrological research. [0003] The traditional mineralogical test method is to polish the measured rock material with argon ions, obtain rock composition imaging and topographic information with an electron scanning microscope, and then use an atomic force microscope to test the same position to obtain mechanical and height information. This method has the disadvantages of low artificial experiment efficiency, low recognition accuracy and large error. [0004] Aiming at the problems of low identification accuracy and large errors in current mineralogical tests, a method for predicting rock...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16C20/20G16C20/30G16C20/70G06Q50/02
CPCG16C20/20G16C20/30G16C20/70G06Q50/02
Inventor 王天宇田守嶒王奇生钟朋峻盛茂王海柱
Owner CHINA UNIV OF PETROLEUM (BEIJING)
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