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Rock debris scatterer identification method in measurement of while-drilling well diameter

An identification method and a technology of scatterers, which are applied in measurement, neural learning methods, earthwork drilling, etc., can solve the problems of affecting the accuracy of caliper measurement, low accuracy of discrimination, and inability to identify debris reflectors, etc., to achieve accurate High accuracy, improved accuracy, and universal applicability

Pending Publication Date: 2021-01-29
BC P INC CHINA NAT PETROLEUM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the debris reflector cannot be effectively identified, and the accuracy of discrimination is low, which affects the accuracy of caliper measurement

Method used

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  • Rock debris scatterer identification method in measurement of while-drilling well diameter
  • Rock debris scatterer identification method in measurement of while-drilling well diameter
  • Rock debris scatterer identification method in measurement of while-drilling well diameter

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Experimental program
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Effect test

Embodiment 1

[0031] A method for identifying cuttings scatterers in caliper while drilling, comprising the following steps:

[0032] a. The time-frequency dimension expansion of the signal, using short-time processing for time-frequency analysis of the signal while drilling, the selected frame length is 512 sampling points, and the frame shift is half of the frame length; the one-dimensional signal is extended to the two-dimensional signal;

[0033] b. Learning of signal features based on machine learning. Based on the expanded training set pictures, a Yolo network model is constructed to learn the features of reflected signals in ultrasonic logging;

[0034] c. Reflector identification.

Embodiment 2

[0036] A method for identifying cuttings scatterers in caliper while drilling, comprising the following steps:

[0037] a. The time-frequency dimension expansion of the signal, using short-time processing for time-frequency analysis of the signal while drilling, the selected frame length is 512 sampling points, and the frame shift is half of the frame length; the one-dimensional signal is extended to the two-dimensional signal;

[0038] b. Learning of signal features based on machine learning. Based on the expanded training set pictures, a Yolo network model is constructed to learn the features of reflected signals in ultrasonic logging;

[0039] c. Reflector identification.

[0040] In the step c, the reflector recognition includes the following steps:

[0041] S1. Preprocessing the collected signals while drilling, and expanding the signals while drilling into two-dimensional image signals through time-frequency analysis and processing in step a;

[0042] S2. Detect the ef...

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Abstract

The invention discloses a rock debris scatterer identification method in measurement of while-drilling well diameter, and belongs to the technical field of oil and gas drilling. The rock debris scatterer identification method is characterized by comprising the following steps that a, time-frequency dimension expansion of a signal is carried out, time-frequency analysis is carried out on the while-drilling signal by adopting short-time processing, a sampling point with the frame size being 512 is selected, and the frame shift is half of the frame size; the one-dimensional signal is expanded toa two-dimensional signal; b, based on learning of signal features of machine learning, a Yolo network model is constructed to learn reflection signal features in ultrasonic logging on the basis of expanded training set pictures; and c, reflector identification is carried out. The rock debris scatterer identification method adopts rock debris reflector identification based on machine learning, thediscrimination accuracy is high, does not depend on subjective experience of people and is more objective, the accuracy of borehole diameter measurement is greatly improved, and the universality is high.

Description

technical field [0001] The invention relates to the technical field of oil and gas drilling, in particular to a method for identifying cuttings scatterers in caliper measurement while drilling. Background technique [0002] Caliper measurement is very important for real-time evaluation and diagnosis of working conditions while drilling. The borehole imaging logging method based on ultrasonic reflection has been very mature in wireline logging. The caliper measurement while drilling using ultrasonic reflection is often interfered by debris body scattering, so identifying the interference of debris body scattering and eliminating its influence is very important for the accuracy of caliper measurement while drilling. However, due to the complexity of the mechanism of the debris scattering model, it is often misjudged to extract the reflector information from the ultrasonic reflection signal by relying on conventional digital signal processing methods. [0003] The Chinese pat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B47/12E21B47/085G06N3/08
CPCE21B47/12G06N3/08
Inventor 李雷白璟张继川黄崇君李伟成邓虎唐贵范黎明张林杨晓峰张晓琳魏强刘殿琛陈科旭刘伟连太炜
Owner BC P INC CHINA NAT PETROLEUM CORP
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