CN115388343B - An efficient method and system for detecting and locating leaks in marine oil and gas pipelines - Google Patents

Abstract

The invention discloses a high-efficiency marine oil and gas pipeline leakage detection and positioning method, which comprises the steps of arranging an infrasonic wave sensor at an input end and an output end of a pipeline, obtaining infrasonic wave data, carrying out noise reduction treatment on the infrasonic wave data, obtaining a leakage point according to the infrasonic wave data, positioning the position of the leakage point if the leakage point exists, and outputting the position of the leakage point. The invention effectively determines the leakage point of the marine oil and gas pipeline, has low frequency, long wavelength, high sensitivity and strong anti-interference capability based on infrasonic wave, and improves the leakage detection rate and positioning accuracy.

Description

An efficient method and system for detecting and locating leaks in marine oil and gas pipelines

Technical Field

The present invention relates to the technical field of nondestructive testing, and in particular to an efficient marine oil and gas pipeline leakage detection and positioning method and system.

Background technique

Submarine pipelines are an important part of the marine oil and gas transportation and storage system. In harsh marine environments, leakage accidents caused by pipeline aging, natural corrosion, and third-party damage often occur. Once a submarine pipeline leaks, it will not only cause direct economic losses, but also seriously pollute the marine environment and bring about ecological disasters. Therefore, how to timely identify submarine pipeline leaks and accurately locate the leak point has always been an important issue in the field of marine oil and gas safety engineering.

Since the friction between the medium and the pipe wall will continue to generate infrasound signals when the pipeline ruptures and leaks, the infrasound monitoring technology has a higher detection capability for slow and small leaks than the negative pressure wave method. Through the data accumulation of the system debugging cycle, the infrasound monitoring system can collect most of the false alarm characteristic signals caused by changes in the operating conditions of the pipeline, and the signal characteristics of the infrasound wave are in the shape of a spike, so it is easier to locate the leakage point, and the marine oil and gas pipeline leakage detection and positioning method needs to be further improved. The patent document with publication number CN110645484A discloses a transport pipeline monitoring system and method, which determines the leakage of the transport pipeline by presetting time domain and frequency domain conditions, that is, the vibration signal meets the first preset condition in the time domain, and the vibration signal meets the second preset condition in the frequency domain, and determines the leakage position of the transport pipeline, but does not take into account that there are other factors other than leakage that can also cause abnormal vibration signals, and at the same time, there may be two leakage points between sensors, resulting in abnormal positioning.

Summary of the invention

The purpose of the present invention is to provide an efficient marine oil and gas pipeline leakage detection and positioning method to solve one or more technical problems existing in the prior art and at least provide a beneficial option or create conditions.

To achieve the above technical objectives, the technical solution of the present invention is as follows:

An efficient method for detecting and locating leakage of marine oil and gas pipelines, the method comprising the following steps:

Step 1, arranging infrasound sensors at the input end and the output end of the pipeline and obtaining infrasound data;

Step 2, performing noise reduction processing on the infrasound wave data, and obtaining the leakage point according to the infrasound wave data;

Step 3, if there is a leak, locate the leak;

Step 4: Output the location of the leak point.

Furthermore, in step 1, the sub-steps of arranging infrasound sensors at the input and output ends of the pipeline and obtaining infrasound data are:

Infrasonic sensors are installed at the inlet and outlet of the marine oil and gas pipeline respectively. The infrasonic sensors respectively acquire and record the sound wave signals to obtain the sound wave data.

Preferably, the model of the infrasound sensor is CDC-2B, which can monitor infrasound signals and convert them into electrical signals, and can detect sound waves with a frequency of 0.01 to 10 Hz. The CDC-2B infrasound sensor detects infrasound by measuring the change in capacitance value through amplitude modulation, inputs a constant-amplitude high-frequency voltage and outputs a corresponding modulated voltage wave.

Furthermore, in step 2, the infrasound wave data is subjected to noise reduction processing, and the sub-steps of obtaining the leakage point according to the infrasound wave data are as follows:

Step 2.1, using expert database and wavelet analysis method to filter the environmental noise in the infrasound wave signal and perform noise reduction processing on the infrasound wave data, the infrasound wave data includes frequency and intensity.

The infrasound signal obtained in step 1 needs to be filtered and amplified, and the signals recorded at the input and output ends need to be precisely synchronized.

The noise reduction process includes using the SOPC method to remove clutter from the infrasound.

Step 2.2, construct the relationship between the amplitude and time of the infrasound wave; take the time when the acquisition starts as the origin, divide the infrasound wave data into N time intervals with the time interval t0; t0 is the time interval, and the calculation method is t0=L/V0, V0 is the propagation speed of the infrasound wave in the pipeline, and L is the distance between the two infrasound wave sensors deployed in the oil and gas pipeline; initialize the empty set first set Set1 and the second set Set2, and initialize the variable n=2; the value range of n is [2,N-1];

Step 2.3, take the maximum value of the infrasound amplitude collected by the infrasound sensor at the input end in the nth time interval and record it as Pmax, extract all peaks in the current interval except the peak with the largest amplitude and record them as the peak set PEAK, if Pmax＞Pmean+Pmin+P'min and abs(Pmax-P'max)≤P _ofs , then put the peak of the infrasound amplitude in the current interval into the first set Set1, and put the maximum value of the peak of the infrasound amplitude of the infrasound sensor at the output end in the current time interval into the second set Set2, Pmax is the intensity of the peak with the largest amplitude at the input end in the current time interval, Pmean is the average value of the intensity of all peaks at the input end in the current time interval, Pmin is the minimum value of the intensity of all peaks at the input end in the current time interval, P'min is the minimum value of the amplitude among the peaks of the infrasound signal collected by the infrasound sensor at the output end in the current time interval, P _ofs is the offset threshold, abs() is the absolute value, exp() is an exponential function with the natural logarithm as the base, P _ofs =sqrt(Pmax×P'max)×exp(Pmax/(Pmean+Pmin))-Pmean; Jump to step 2.4;

Otherwise, jump directly to step 2.4;

Step 2.4, if n < N, increase the value of n by 1 and restart step 2.3, otherwise jump to step 2.5;

Step 2.5, record the amplitude of the i-th peak in Set1 as PEAK1 _i , the amplitude of the j-th peak in Set2 as PEAK2 _j , the size of Set1 is NSet, and set the values of variables i and j to 1; if Set1 or Set2 is an empty set, there is no leakage point in the current pipeline, and exit Step 2;

If the value of GAP(PEAK1 _i ,PEAK2 _j ) is less than or equal to the time interval between PEAK1 _i or PEAK2 _j and the peak in the closest time interval, jump to step 2.5.1; otherwise, jump to step 2.6; GAP(PEAK1 _i ,PEAK2 _j ) refers to the time interval between the peaks (PEAK1 _i ,PEAK2 _j );

Step 2.5.1, if abs(PEAK1 _i -PEAK2 _j )/2＞Pmean×GAP(PEAK1 _i ,PEAK2 _j )/t0, define the current peak (PEAK1 _i ,PEAK2 _j ) as the peak generated by the leakage point; record the corresponding time of the current PEAK1 _i ,PEAK2 _j peak as the leakage point peak; increase the values of i and j by 1, and jump to step 2.7;

Step 2.6, take the time interval where the peaks of PEAK1 _i and PEAK2 _j are located as the center and t0 as the range search. If there is a peak greater than PEAK1 _i or PEAK2 _j , then replace PEAK1 _i or PEAK2 _j with the peak greater than PEAK1 _i or PEAK2 _j . That is, if there is a peak greater than PEAK1 _i , then replace PEAK1 _i with the peak greater than PEAK1 _i ; if there is a peak greater than PEAK1 _j , then replace PEAK1 _j with the peak greater than PEAK1 _j . Input the new PEAK1 _i and PEAK2 _j into step 2.5.1 and jump to step 2.5.1;

Increase the values of i and j by 1. If i or j is greater than NSet, jump to step 2.7.

Step 2.7, output the collection time of the leakage point peak as the leakage point set, and the leakage point set includes multiple pairs of peak time tuples.

After filtering and noise reduction, the infrasonic signal in step 2 eliminates most of the clutter, but there is still clutter that affects the detection and causes false alarms. The real leakage point can be determined by the peak amplitude and time interval. There may be multiple leakage points, which can be paired and output in step 2. If the feature points are simply identified (that is, the existing technology), if two or more leakage points appear in the same sampling time, they cannot be accurately located, and can only be prompted that there is a leakage point, which requires manual investigation later.

Furthermore, in step 3, if there is a leak, the sub-steps for locating the leak are:

The leakage point set includes multiple pairs of peak time tuples. The following algorithm is used to calculate the location of the leakage point:

;

Where L is the distance between the two infrasound sensors, Δt is the time difference between two moments in a pair of peak moments, v is the propagation speed of infrasound in the pipeline, and X is the distance between the leakage point and the infrasound sensor at the inlet.

Beneficial effect of step 3: The position of the leakage point is calculated based on the time tuple of the screened peak.

Furthermore, in step 4, the sub-step of outputting the location of the leakage point is:

The location of the leakage point is pushed to the terminal of the manager, and the terminal of the manager includes one or more of a handheld receiver or a computer terminal of a monitoring center.

Preferably, all undefined variables in the present invention, if not clearly defined, can be manually set thresholds.

An efficient marine oil and gas pipeline leakage detection and positioning system, the system comprising:

Data acquisition module: used to collect infrasound signals from marine oil and gas pipelines;

Data processing module: used for processing the infrasound signal of the marine oil and gas pipeline and executing the efficient marine oil and gas pipeline leakage detection and positioning method;

Result output module: includes one or more of the manager's handheld receiver or the computer terminal of the monitoring center.

In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present invention.

In a fourth aspect, the present invention provides an electronic device, comprising: a memory on which a computer program is stored; and a processor for executing the computer program in the memory to implement the steps of the method provided by the present invention.

Compared with the prior art, the present invention has the following beneficial technical effects:

This solution can effectively determine the leakage point of marine oil and gas pipelines, realize the low frequency, long wavelength, high sensitivity and strong anti-interference ability based on infrasound, and improve the leakage detection rate and positioning accuracy.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of an efficient marine oil and gas pipeline leakage detection and positioning method provided by the present invention;

FIG2 is a schematic block diagram of the structure of an efficient marine oil and gas pipeline leakage detection and positioning system according to an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described here are only used to explain the present invention and are not used to limit the present invention.

It should also be understood that the following examples are only used to further illustrate the present invention and cannot be understood as limiting the scope of protection of the present invention. Some non-essential improvements and adjustments made by those skilled in the art based on the above content of the present invention belong to the scope of protection of the present invention. The specific process parameters and the like in the following examples are also only examples within a suitable range, that is, those skilled in the art can make a selection within a suitable range through the description herein, and are not limited to the specific values exemplified below.

An efficient marine oil and gas pipeline leakage detection and positioning method provided by the present invention is exemplarily described below.

FIG1 is a flow chart of an efficient marine oil and gas pipeline leakage detection and positioning method. The following is an efficient marine oil and gas pipeline leakage detection and positioning method according to an embodiment of the present invention, which is described in conjunction with FIG1. The method includes the following steps:

Step 1, arranging infrasound sensors at the input end and the output end of the pipeline and obtaining infrasound data;

Step 2, performing noise reduction processing on the infrasound wave data, and obtaining the leakage point according to the infrasound wave data;

Step 3, if there is a leak, locate the leak;

Step 4: Output the location of the leak point.

Furthermore, in step 1, the sub-steps of arranging infrasound sensors at the input and output ends of the pipeline and obtaining infrasound data are:

Infrasonic sensors are installed at the inlet and outlet of the marine oil and gas pipeline respectively. The infrasonic sensors respectively acquire and record the sound wave signals to obtain the sound wave data.

Preferably, the model of the infrasound sensor is CDC-2B, which can monitor infrasound signals and convert them into electrical signals, and can detect sound waves with a frequency of 0.01 to 10 Hz. The CDC-2B infrasound sensor detects infrasound by measuring the change in capacitance value through amplitude modulation, inputs a constant-amplitude high-frequency voltage and outputs a corresponding modulated voltage wave.

Furthermore, in step 2, the infrasound wave data is subjected to noise reduction processing, and the sub-steps of obtaining the leakage point according to the infrasound wave data are as follows:

Step 2.1, using expert database and wavelet analysis method to filter the environmental noise in the infrasound wave signal and perform noise reduction processing on the infrasound wave data, the infrasound wave data includes frequency and intensity.

The infrasound signal obtained in step 1 needs to be filtered and amplified, and the signals recorded at the input and output ends need to be precisely synchronized.

The noise reduction process includes using the SOPC method to remove clutter from the infrasound.

Step 2.2, construct the relationship between the amplitude and time of the infrasound wave; take the time when the acquisition starts as the origin, divide the infrasound wave data into N time intervals with the time interval t0; t0 is the time interval, and the calculation method is t0=L/V0, V0 is the propagation speed of the infrasound wave in the pipeline, and L is the distance between the two infrasound wave sensors deployed in the oil and gas pipeline; initialize the empty set first set Set1 and the second set Set2, and initialize the variable n=2; the value range of n is [2,N-1];

Step 2.3, take the maximum value of the infrasound amplitude collected by the infrasound sensor at the input end in the nth time interval and record it as Pmax, extract all peaks in the current interval except the peak with the largest amplitude and record them as the peak set PEAK, if Pmax＞Pmean+Pmin+P'min and abs(Pmax-P'max)≤P _ofs , then put the peak of the infrasound amplitude in the current interval into the first set Set1, and put the maximum value of the peak of the infrasound amplitude of the infrasound sensor at the output end in the current time interval into the second set Set2, Pmax is the intensity of the peak with the largest amplitude at the input end in the current time interval, Pmean is the average value of the intensity of all peaks at the input end in the current time interval, Pmin is the minimum value of the intensity of all peaks at the input end in the current time interval, P'min is the minimum value of the amplitude among the peaks of the infrasound signal collected by the infrasound sensor at the output end in the current time interval, P _ofs is the offset threshold, abs() is the absolute value, exp() is an exponential function with the natural logarithm as the base, P _ofs =sqrt(Pmax×P'max)×exp(Pmax/(Pmean+Pmin))-Pmean; Jump to step 2.4;

Otherwise, jump directly to step 2.4;

Step 2.4, if n < N, increase the value of n by 1 and restart step 2.3, otherwise jump to step 2.5;

Step 2.5, record the amplitude of the i-th peak in Set1 as PEAK1 _i , the amplitude of the j-th peak in Set2 as PEAK2 _j , the size of Set1 is NSet, and set the values of variables i and j to 1; if Set1 or Set2 is an empty set, there is no leakage point in the current pipeline, and exit Step 2;

If the value of GAP(PEAK1 _i ,PEAK2 _j ) is less than or equal to the time interval between PEAK1 _i or PEAK2 _j and the peak in the closest time interval, jump to step 2.5.1; otherwise, jump to step 2.6; GAP(PEAK1 _i ,PEAK2 _j ) refers to the time interval between the peaks (PEAK1 _i ,PEAK2 _j );

Step 2.5.1, if abs(PEAK1 _i -PEAK2 _j )/2＞Pmean×GAP(PEAK1 _i ,PEAK2 _j )/t0, define the current peak (PEAK1 _i ,PEAK2 _j ) as the peak generated by the leakage point; record the corresponding time of the current PEAK1 _i ,PEAK2 _j peak as the leakage point peak; increase the values of i and j by 1, and jump to step 2.7;

Step 2.6, take the time interval where the peaks of PEAK1 _i and PEAK2 _j are located as the center and t0 as the range search. If there is a peak greater than PEAK1 _i or PEAK2 _j , then replace PEAK1 _i or PEAK2 _j with the peak greater than PEAK1 _i or PEAK2 _j . That is, if there is a peak greater than PEAK1 _i , then replace PEAK1 _i with the peak greater than PEAK1 _i ; if there is a peak greater than PEAK1 _j , then replace PEAK1 _j with the peak greater than PEAK1 _j . Input the new PEAK1 _i and PEAK2 _j into step 2.5.1 and jump to step 2.5.1;

Increase the values of i and j by 1. If i or j is greater than NSet, jump to step 2.7.

Step 2.7, output the collection time of the leakage point peak as the leakage point set, and the leakage point set includes multiple pairs of peak time tuples.

After filtering and noise reduction, the infrasonic signal in step 2 eliminates most of the clutter, but there is still clutter that affects the detection and causes false alarms. The real leakage point can be determined by the peak amplitude and time interval. There may be multiple leakage points, which can be paired and output in step 2. If the feature points are simply identified (that is, the existing technology), if two or more leakage points appear in the same sampling time, they cannot be accurately located, and can only be prompted that there is a leakage point, which requires manual investigation later.

Furthermore, in step 3, if there is a leak, the sub-steps for locating the leak are:

The leakage point set includes multiple pairs of peak time tuples. The following algorithm is used to calculate the location of the leakage point:

;

Where L is the distance between the two infrasound sensors, Δt is the time difference between two moments in a pair of peak moments, v is the propagation speed of infrasound in the pipeline, and X is the distance between the leakage point and the infrasound sensor at the inlet.

Beneficial effect of step 3: The position of the leakage point is calculated based on the time tuple of the screened peak.

Furthermore, in step 4, the sub-step of outputting the location of the leakage point is:

The location of the leakage point is pushed to the terminal of the manager, and the terminal of the manager includes one or more of a handheld receiver or a computer terminal of a monitoring center.

Preferably, all undefined variables in the present invention, if not clearly defined, can be manually set thresholds.

Preferably, all undefined variables in the present invention, if not clearly defined, can be manually set thresholds.

FIG. 2 is a schematic block diagram of the structure of an efficient marine oil and gas pipeline leakage detection and positioning system according to an embodiment of the present invention.

An efficient marine oil and gas pipeline leakage detection and positioning system, the system comprising:

Data acquisition module: used to collect infrasound signals from marine oil and gas pipelines;

Data processing module: used for processing the infrasound signal of the marine oil and gas pipeline and executing the efficient marine oil and gas pipeline leakage detection and positioning method;

Result output module: includes one or more of the manager's handheld receiver or the computer terminal of the monitoring center.

The efficient marine oil and gas pipeline leakage detection and positioning system can be run on computing devices such as desktop computers, laptops, PDAs and cloud servers. The efficient marine oil and gas pipeline leakage detection and positioning system can be operated on systems including, but not limited to, processors and memories. Those skilled in the art can understand that the example is only an example of an efficient marine oil and gas pipeline leakage detection and positioning system, and does not constitute a limitation on an efficient marine oil and gas pipeline leakage detection and positioning system. It can include more or fewer components than the example, or a combination of certain components, or different components. For example, the efficient marine oil and gas pipeline leakage detection and positioning system can also include input and output devices, network access devices, buses, etc.

The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the operating system of the efficient marine oil and gas pipeline leakage detection and positioning system, and uses various interfaces and lines to connect the various parts of the entire operating system of the efficient marine oil and gas pipeline leakage detection and positioning system.

The memory can be used to store the computer program and/or module, and the processor realizes various functions of the efficient marine oil and gas pipeline leakage detection and positioning system by running or executing the computer program and/or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

Although the description of the present invention has been quite detailed and has been described in particular with respect to several described embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment, so as to effectively cover the intended scope of the present invention. In addition, the present invention is described above with the embodiments foreseeable by the inventors, and its purpose is to provide a useful description, and those non-substantial changes to the present invention that are not currently foreseen may still represent equivalent changes of the present invention.

In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention.

Claims (6)

1. An efficient marine oil and gas pipeline leak detection and localization method, characterized in that the method comprises the following steps:

step 1, arranging infrasonic wave sensors at an input end and an output end of a pipeline and obtaining infrasonic wave data;

step 2, noise reduction processing is carried out on the infrasound data, and leakage points are obtained according to the infrasound data;

step 3, if the leakage point exists, positioning the position of the leakage point;

step 4, outputting the positions of the leakage points;

in step 1, arranging infrasonic wave sensors at an input end and an output end of a pipeline and obtaining infrasonic wave data comprises the following substeps:

respectively installing an infrasonic wave sensor at the input end and the output end of the marine oil and gas pipeline, respectively acquiring and recording infrasonic wave signals by the infrasonic wave sensors to obtain infrasonic wave data;

in step 2, noise reduction is performed on the infrasonic wave data, and the substeps of obtaining the leakage point according to the infrasonic wave data are as follows:

step 2.1, filtering environmental noise in the infrasonic wave signal by adopting an expert database and a wavelet analysis method for infrasonic wave data, and carrying out noise reduction treatment, wherein the infrasonic wave data comprises frequency and intensity;

step 2.2, constructing the relation between the amplitude and time of the infrasonic wave; dividing infrasonic wave data by using the moment of starting acquisition as an origin at a time interval t0 to obtain N time intervals; t0 is a time interval, the calculation method is t0=L/V0, V0 is the propagation speed of the infrasonic wave in the pipeline, and L is the distance between 2 infrasonic wave sensors deployed in the oil and gas pipeline; initializing a first Set1 and a second Set2 of empty sets, and initializing a variable n=2; n is in the value range of [2, N-1];

step 2.3, taking the maximum value of the infrasonic wave amplitude collected by the infrasonic wave sensor at the input end in the nth time interval as Pmax, extracting all PEAKs except the maximum PEAK of the amplitude in the current interval as a PEAK set PEAK, if Pmax is more than Pmean+Pmin+P 'min and abs (Pmax-P' max) is less than or equal to P _ofs Then the peak of the infrasonic wave amplitude in the current interval is put into the first Set1, the maximum value of the peak of the infrasonic wave amplitude of the infrasonic wave sensor at the output end in the current time interval is put into the second Set2, pmax is the intensity of the peak with the maximum amplitude of the input end in the current time interval, pmean is the average value of the intensities of all the peaks of the input end in the current time interval, pmin is the minimum value of the intensities of all the peaks of the input end in the current time interval, P' min is the minimum value of the amplitude of the infrasonic wave signal collected by the infrasonic wave sensor at the output end in the current time interval, P _ofs For the offset threshold, abs () takes absolute value, exp () is an exponential function based on natural logarithm, P _ofs =sqrt (pmax×p' max) ×exp (Pmax/(pmean+pmin)) -Pmean; step 2.4, jumping to the step;

otherwise, directly skipping to the step 2.4;

step 2.4, if N is less than N, increasing the value of N by 1 and restarting step 2.3, otherwise, jumping to step 2.5;

step 2.5, recording the amplitude of the ith PEAK in Set1 as PEAK1 _i The jth PEAK in Set2 has an amplitude of PEAK2 _j Set1 Set has a size NSet, so that the values of variables i and j are 1; if Set1 or Set2 is an empty Set, the current pipeline has no leakage point, and the step 2 is exited;

if GAP (PEAK 1) _i ,PEAK2 _j ) The value of (2) is less than or equal to PEAK1 _i Or PEAK2 _j The step is skipped at intervals respectively to the peaks within the closest time interval2.5.1; otherwise, jumping to the step 2.6; GAP (PEAK 1) _i ,PEAK2 _j ) Finger acquisition (PEAK 1) _i ,PEAK2 _j ) The time interval between peaks;

step 2.5.1 if abs (PEAK 1 _i -PEAK2 _j )/2＞Pmean×GAP(PEAK1 _i ,PEAK2 _j ) T0 then compares the current (PEAK 1 _i ,PEAK2 _j ) Is defined as the peak generated by the leakage point; recording the current PEAK1 _i ,PEAK2 _j The peak corresponding moment of the (2) is taken as a leakage point peak; increasing the values of i and j by 1, and skipping to step 2.7;

step 2.6, respectively using PEAK1 _i And PEAK2 _j The time interval in which the PEAK of (1) is located is centered, t0 is a range search if there is more than PEAK1 _i Or PEAK2 _j PEAK of (1) is greater than PEAK1 _i Or PEAK2 _j PEAK substitution PEAK1 _i Or PEAK2 _j I.e. if present above PEAK1 _i The PEAK is greater than PEAK1 _i PEAK substitution PEAK1 _i If it is greater than PEAK1 _j The PEAK is greater than PEAK1 _j PEAK substitution PEAK1 _j New PEAK1 _i And PEAK2 _j Inputting the step 2.5.1 and jumping to the step 2.5.1;

increasing the values of i and j by 1, and if i or j is greater than NSet, skipping to step 2.7;

and 2.7, outputting the collection time of the leakage point peaks as a leakage point set, wherein the leakage point set comprises time tuples of a plurality of pairs of peaks.

2. The efficient marine oil and gas pipeline leak detection and localization method as claimed in claim 1, wherein in step 3, if there is a leak, the substeps of locating the location of the leak are:

the time tuple of the leakage point set comprising a plurality of pairs of peaks is used for calculating the positions of the leakage points by using the following algorithm:

；

wherein L is the distance between 2 infrasonic wave sensors, delta t is the time difference between 2 moments in a pair of moment tuples of peaks, v is the propagation speed of infrasonic waves in a pipeline, and X is the distance between a leakage point and an incoming end infrasonic wave sensor.

3. The method for efficient marine oil and gas pipeline leak detection and localization as claimed in claim 1, wherein in step 4, the sub-step of outputting the location of the leak is:

the location of the leak is pushed to a manager's terminal, which includes one or more of a handheld receiver or a computer terminal of a monitoring center.

4. An efficient marine oil and gas pipeline leak detection and location system, the system comprising:

and a data acquisition module: the system is used for collecting infrasonic wave signals of the marine oil and gas pipeline;

and a data processing module: the method for processing infrasonic wave signals of marine oil and gas pipelines comprises the steps of executing the high-efficiency marine oil and gas pipeline leakage detection and positioning method according to any one of claims 1-3;

and a result output module: including one or more of a handheld receiver of an administrator or a computer terminal of a monitoring center.

5. A computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor performs the steps of a method for efficient marine oil and gas pipeline leak detection and localization as claimed in any one of claims 1 to 3.

6. An electronic device, comprising: a memory having a computer program stored thereon; a processor for executing the computer program in the memory to implement the steps of an efficient marine oil and gas pipeline leak detection and localization method as claimed in any one of claims 1 to 3.