A deep-sea drilling gas invasion detection signal processing method and processing circuit

A technology for detecting signals and deep-sea drilling, which is applied in image data processing, image enhancement, image analysis, etc. It can solve the problems of gas intrusion detection lag, failure to achieve real-time results, difficulties, etc., achieve high speed, eliminate load influence, and accuracy high effect

Active Publication Date: 2021-10-15
CHINA NAT OFFSHORE OIL CORP +1
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of offshore oil drilling, the principle of ultrasonic Doppler is used to measure the flow velocity and detect the gas content. When the ultrasonic Doppler is used to measure the flow velocity, the amplitude and frequency related signals of the flow velocity and Doppler signal are obtained, but this The signal is not a single standard Doppler frequency shift signal. Due to the randomness of the signal itself, it is difficult to analyze useful signals from such signals. Therefore, it is difficult to obtain accurate flow velocity results by using ultrasonic Doppler to measure flow velocity.
When ultrasonic Doppler is used to detect gas content, although the amplitude and frequency related signals of gas content and Doppler signal can be obtained, since the gas intrusion detection work is carried out in the deep sea area several kilometers underwater, if the detected The transmission of random signals to the road for processing will cause the air intrusion detection to lag behind. Therefore, in the deep sea, it cannot be processed by computer software like on land, and thus the real-time effect cannot be achieved.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A deep-sea drilling gas invasion detection signal processing method and processing circuit
  • A deep-sea drilling gas invasion detection signal processing method and processing circuit
  • A deep-sea drilling gas invasion detection signal processing method and processing circuit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0020] The amplitude domain analysis of random signals is an important content of statistical analysis of random signals. The probability that the amplitude of random signals falls within a specified interval can be expressed by the probability density function of random signals. Such as figure 1 As shown, the amplitude x(t) of the random signal falls in the amplitude interval of the i-th layer (x i ,x i The time value within +Δx) is T i , time value T i The calculation formula is as follows:

[0021]

[0022] In the formula, T i Indicates the time value at which the amplitude of the random signal falls within the amplitude interval of the i-th layer; Δt i1 Indicates the first period when the amplitude of the random signal falls within the amplitude interval of the i-th layer; Δt i2 Indicates the second period when the amplitude of the rando...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a signal processing method and processing circuit for deep-sea drilling gas intrusion detection, comprising the following steps: 1) equally dividing the amplitude measurement range of random signals to be processed into m-layer amplitude intervals, and according to the amplitude measurement range of random signals to be processed Set m reference levels in the amplitude interval of and m layers and provide them to the m-level parallel comparators accordingly; 2) The m-level parallel comparators receive m reference levels and signals to be measured, and output m comparison output signals; 3) Set the The two adjacent comparison output signals are XORed to obtain a layered signal containing the time width and the number of occurrences of the time width when the amplitude of the signal to be measured falls within the amplitude interval of each layer. The time value and the total number of times when the signal amplitude falls in each amplitude interval, and upload it to the computer; 4) The computer according to the time value and the total number of times when the amplitude of the signal to be measured falls in each amplitude interval within the observed time value Plot the mean rate distribution histogram and the amplitude probability distribution. The invention can quickly and real-time analyze and process random signals.

Description

technical field [0001] The invention relates to the field of random signal analysis, in particular to a deep-sea drilling gas invasion detection signal processing method and processing circuit. Background technique [0002] In the process of offshore oil drilling, the principle of ultrasonic Doppler is used to measure the flow velocity and detect the gas content. When the ultrasonic Doppler is used to measure the flow velocity, the amplitude and frequency related signals of the flow velocity and Doppler signal are obtained, but this The signal is not a single standard Doppler frequency shift signal. Due to the randomness of the signal itself, it is difficult to analyze useful signals from such signals. Therefore, it is difficult to obtain accurate flow velocity results by using ultrasonic Doppler to measure flow velocity. . When ultrasonic Doppler is used to detect gas content, although the amplitude and frequency related signals of gas content and Doppler signal can be obt...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T11/00
CPCG06T11/00G06T2207/10132G06F2218/00
Inventor 何玉发蒋世全赵辉古军周建良李迅科谢彬周权高飞李峰飞郝希宁
Owner CHINA NAT OFFSHORE OIL CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products