Noise-resistant data acquisition method, device and terminal for subsea differential electrode system

Abstract

The application is suitable for the field of signal processing, and provides a seabed differential electrode system data collection method, device and terminal capable of resisting noise. The seabed differential electrode system data collection method specifically comprises: determining a correlation coefficient between each two of the electric field strengths of at least three electrodes at a target time, the at least three electrodes being arranged in the same direction; and determining whether there is an electrode causing signal noise among the at least three electrodes at the target time based on the correlation coefficient. The embodiments of the application can identify whether there is an electrode causing signal noise at the target time, realize detection of signal noise, and avoid the problem of reduced data analysis accuracy when data analysis is performed on the electric field signal data provided by the electrode causing signal noise.

Description

Technical Field

[0001] This application belongs to the field of signal processing, and in particular relates to a noise-resistant method, device and terminal for data acquisition of a seabed differential electrode system. Background Technology

[0002] Marine controlled-source electromagnetic exploration (SEM), similar to seismic exploration, is a method of active target exploration that uses artificially generated electromagnetic fields, received by a signal acquisition system located on the seabed. SEM technology can determine whether a trap contains oil and gas and pinpoint its boundaries, thereby improving the success rate of oil and gas exploration and has become one of the important tools for marine oil and gas exploration.

[0003] Currently, controlled-source electromagnetic exploration (CME) technology in the ocean primarily employs two methods for data acquisition. One method involves using a mobile towed cable signal acquisition system. The other method involves deploying a fixed signal acquisition system on the seabed, the target of the study, to collect the field source signals reflected back from the seabed medium. This latter method is currently the mainstream approach for CME data acquisition in the ocean.

[0004] Traditional fixed-deployment signal acquisition systems typically include a housing, controller, detection components, and buoyancy adjustment components. The detection components mainly consist of electric field sensors, magnetic field sensors, and connecting parts. The electric field sensors primarily consist of two sets of orthogonal seabed electric field detection electrodes. After being deployed to the seabed, the signal acquisition system measures the voltage between each set of detection electrodes and its change over time, thereby obtaining the electric field intensity changes in two orthogonal observation directions and acquiring the desired ocean electric field signal.

[0005] However, when the two sets of probe electrodes on the signal acquisition system measure the potential on the seabed, current may pass through the probe electrodes, causing polarization. Ocean electric field signals acquired by polarized probe electrodes often contain a large amount of signal noise. Therefore, existing data acquisition methods result in electric field signals with high noise levels and poor stability, making it difficult to identify useful information and often causing difficulties for subsequent data analysis. Summary of the Invention

[0006] This application provides a noise-resistant seabed differential electrode system data acquisition method, device, and terminal. It can identify whether there are electrodes causing signal noise at the target time, realize the detection of signal noise, and avoid the problem of reduced data analysis accuracy when using electric field signal data provided by electrodes causing signal noise for data analysis.

[0007] The first aspect of this application provides a noise-resistant seabed differential electrode system data acquisition method, including:

[0008] Determine the correlation coefficient between every two electric field intensities of at least three electrodes arranged in the same direction at a target time;

[0009] Based on the correlation coefficient, it is determined whether there is an electrode among the at least three electrodes that causes signal noise at the target time.

[0010] The second aspect of this application provides a noise-resistant seabed differential electrode system data acquisition device, comprising:

[0011] A determining unit is used to determine the correlation coefficient between every two electric field intensities of at least three electrodes arranged in the same direction at a target time.

[0012] A detection unit is configured to determine, based on the correlation coefficient, whether there is an electrode among the at least three electrodes that causes signal noise at the target time.

[0013] A third aspect of this application provides a terminal including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0014] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method.

[0015] The fifth aspect of this application provides a computer program product that, when run on a terminal, enables the terminal to execute the steps of a method.

[0016] In the embodiments of this application, by determining the correlation coefficient between every two electric field intensities among the electric field intensities of at least three electrodes at a target time, and based on the correlation coefficient, determining whether there is an electrode causing signal noise among the at least three electrodes at the target time, it is possible to identify whether there is an electrode causing signal noise at the target time, thus realizing signal noise detection. This avoids the problem of reduced data analysis accuracy when using electric field signal data provided by electrodes causing signal noise for data analysis. Applying the noise-resistant seabed differential electrode system data acquisition method provided in this application to marine controlled-source electromagnetic exploration technology can effectively avoid the impact of signal noise caused by poorly polarized or poorly contacted electrodes on electric field signal analysis, thereby improving the accuracy of marine controlled-source electromagnetic exploration. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram illustrating the implementation process of a noise-resistant seabed differential electrode system data acquisition method provided in an embodiment of this application;

[0019] Figure 2 This is a schematic diagram of a signal acquisition system provided in an embodiment of this application;

[0020] Figure 3 This is a schematic diagram illustrating the specific implementation process of determining the correlation coefficient between the first electric field strength and the second electric field strength, as provided in an embodiment of this application.

[0021] Figure 4 This is a schematic diagram of the specific implementation process of determining whether there is an electrode causing signal noise among the three target electrodes at a target time, as provided in the embodiments of this application;

[0022] Figure 5 This is a schematic diagram of the structure of a noise-resistant seabed differential electrode system data acquisition device provided in an embodiment of this application;

[0023] Figure 6 This is a schematic diagram of the terminal structure provided in the embodiments of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are protected by this application.

[0025] Marine controlled-source electromagnetic exploration (SEM), similar to seismic exploration, is a method of active target exploration that uses artificially generated electromagnetic fields, received by a signal acquisition system located on the seabed. SEM technology can determine whether a trap contains oil and gas and pinpoint its boundaries, thereby improving the success rate of oil and gas exploration and has become one of the important tools for marine oil and gas exploration.

[0026] Currently, marine controlled-source electromagnetic exploration (CME) technology primarily employs two methods for data acquisition: one is using a mobile towed cable signal acquisition system, and the other is deploying a fixed signal acquisition system on the seabed as the research target. This system collects the field source signals reflected back from the seabed medium, and this method is currently the mainstream approach for CME data acquisition.

[0027] Traditional fixed-deployment signal acquisition systems typically include a housing, controller, detection components, and buoyancy adjustment components. The detection components mainly consist of electric field sensors, magnetic field sensors, and connecting parts. The electric field sensors primarily consist of two sets of orthogonal seabed electric field detection electrodes. After being deployed to the seabed, the signal acquisition system measures the voltage between each set of detection electrodes and its change over time, thereby obtaining the electric field intensity changes in two orthogonal observation directions and acquiring the desired ocean electric field signal.

[0028] However, when the two sets of probe electrodes on the signal acquisition system measure the potential on the seabed, current may pass through the probe electrodes, causing polarization. Ocean electric field signals acquired by polarized probe electrodes often contain a large amount of signal noise. Therefore, existing data acquisition methods result in electric field signals with high noise levels and poor stability, making it difficult to identify useful information and often causing difficulties for subsequent data analysis.

[0029] To illustrate the technical solution of this application, specific embodiments are described below.

[0030] Figure 1 The illustration shows a schematic diagram of the implementation process of a noise-resistant seabed differential electrode system data acquisition method provided in an embodiment of this application. This method can be applied to a terminal and is suitable for situations where signal noise detection is required to improve the accuracy of electric field signal data analysis.

[0031] The aforementioned terminal can be a computer, a signal acquisition system with certain computing power, or other equipment used for controlled-source electromagnetic exploration in the ocean.

[0032] Specifically, the above-mentioned noise-resistant seabed differential electrode system data acquisition method may include the following steps S101 to S102.

[0033] Step S101: Determine the correlation coefficient between every two electric field intensities of at least three electrodes at the target time.

[0034] Among them, the above-mentioned at least three electrodes are arranged in the same direction, and the target time can be any one or more sampling times among the sampling times of the electric field signal collected by the electrodes.

[0035] In this embodiment, an electric field strength exists between every two of the at least three electrodes. A correlation coefficient can be determined between the two electric field strengths calculated based on different electrodes. This correlation coefficient can be used to represent the degree of linear correlation between the two electric field strengths in the time dimension. By studying the correlation coefficient corresponding to the target time, the terminal can determine whether there is an electrode causing signal noise at the target time.

[0036] Step S102: Based on the correlation coefficient, determine whether there is an electrode among the at least three electrodes that causes signal noise at the target time.

[0037] Specifically, in some embodiments of this application, the terminal can select three target electrodes from at least three electrodes, and the selected three target electrodes can be any three electrodes from the at least three electrodes.

[0038] Next, in some embodiments of this application, based on the correlation coefficient between every two electric field intensities of the three target electrodes at the target time, it can be determined whether there is an electrode among the three target electrodes at the target time that causes signal noise.

[0039] The three target electrodes mentioned above can be three electrodes arranged on the aforementioned signal acquisition system along the first direction, or they can be three electrodes arranged on the aforementioned signal acquisition system along a second direction orthogonal to the first direction.

[0040] To reduce hardware costs, one of the three target electrodes is an electrode located at the intersection of the first and second directions on the signal acquisition system.

[0041] In other words, such as Figure 2 As shown, the signal acquisition system includes a pair of electrodes located in the first direction. and and another pair of electrodes located in a second direction orthogonal to the first direction. and It may also include a central electrode N located at the intersection of the first and second directions, thereby forming a differential electrode system. The central electrode N can be connected to a pair of electrodes located in the first direction. and It can be composed of three target electrodes, or it can be combined with another pair of electrodes located in a second direction orthogonal to the first direction. and Three target electrodes are configured to achieve signal noise detection for each electrode in the mutually orthogonal first and second directions, while reducing the number of electrodes in the signal acquisition system. It should be noted that each electrode in the signal acquisition system is a grounded electrode.

[0042] by Figure 2 Middle electrode and electrodes Taking the direction x as the first direction as an example, a long electrode pair is formed in the first direction x. short electrode pair and short electrode pair Three electric field measurement electrode systems, each of which can be used to characterize the electric field intensity E in the first direction x. x .

[0043] Specifically, the electric field strengths measured by each electric field measuring electrode system are as follows:

[0044] as well as

[0045] in V N Representing electrodes electrode The potential at the electrode N embedding point, These represent the electrode distance lengths between the two electrodes corresponding to each electric field measurement electrode system.

[0046] After obtaining the electric field strength corresponding to each electric field measuring electrode system, the correlation coefficient between any two electric field strengths can be determined based on each pair of electric field strengths.

[0047] Specifically, such as Figure 3 As shown, in some embodiments of this application, the step of determining the correlation coefficient between every two electric field intensities among the electric field intensities of at least three electrodes at a target time may include the steps S301 to S302.

[0048] Step S301: Calculate the average value of the first electric field strength over n time intervals and the average value of the second electric field strength over n time intervals.

[0049] Here, n time points can be the sampling times for each electrode potential, specifically including the target time points mentioned above. The first electric field strength refers to the electric field strength between two of the at least three electrodes, and the second electric field strength refers to the electric field strength between at least two electrodes that are different from the two electrodes corresponding to the first electric field strength. That is, the first electric field strength and the second electric field strength are electric field strengths measured by different electric field measuring electrode systems.

[0050] In some embodiments of this application, a first electric field strength and a second electric field strength can be obtained at each of the n time points. Based on the first electric field strength and the second electric field strength corresponding to each time point, the average value of the first electric field strength and the average value of the second electric field strength within the n time points can be determined.

[0051] Step S302: Calculate the correlation coefficient between the first electric field strength and the second electric field strength at the target time based on the average value of the first electric field strength, the average value of the second electric field strength, the first electric field strength at the target time, and the second electric field strength at the target time.

[0052] Specifically, the correlation coefficient between the first electric field strength and the second electric field strength in, K and L represent different electric field measurement electrode systems; i is the time sampling sequence number; Let E be the average value of the first electric field intensity over n time points, i.e., the first electric field intensity E when i equals 1 to n. K (x i The average value of ) E is the average value of the second electric field intensity over n time points, i.e., the second electric field intensity E when i equals 1 to n. L (x i The average value of D; i That is, E K (x i ) and E L (x i The difference between normalized data points. Correlation coefficient R0 i The value of is in the range of (-1, +1).

[0053] In the embodiments of this application, R i The larger the absolute value of R, the greater the correlation between the first and second electric field strengths. i The smaller the absolute value of , the weaker the correlation between the first and second electric field strengths. Therefore, according to R... i The value can identify noise data caused by polarization or poor contact.

[0054] Assuming the above Represented as E1 Represented as E2, and Represented as E3, then based on Figure 3 The method shown can be used to calculate the correlation coefficient R between E1 and E2. i The correlation coefficient R between (E1, E2), E1 and E3 i (E1, E3), and the correlation coefficient R between E2 and E3.i (E2, E3).

[0055] Next, as Figure 4 As shown, in some embodiments of this application, the above-mentioned determination of whether there is an electrode causing signal noise among the three target electrodes at the target time based on the correlation coefficient between every two electric field intensities of the three target electrodes at the target time may include the following steps S401 to S402.

[0056] Step S401: Detect whether there is a correlation coefficient less than the correlation coefficient threshold among the correlation coefficients between every two electric field intensities of the three target electrodes at the target time.

[0057] The correlation coefficient threshold can be adjusted according to the actual situation. In some embodiments of this application, the correlation coefficient threshold can be 0.6 or 0.8, etc.

[0058] Step S402: If, at the target time, there is a correlation coefficient less than the correlation coefficient threshold among the correlation coefficients between any two electric field intensities of the three target electrodes, then it is determined that there is an electrode among the three target electrodes that causes signal noise.

[0059] In some embodiments of this application, when there is no correlation coefficient less than a correlation coefficient threshold among any two electric field intensities of the three target electrodes at the target time, i.e., R... i (E1, E2), R i (E1, E3) and R i If (E2, E3) are all greater than the correlation coefficient threshold, it indicates a high correlation between E1, E2, and E3 over n time points. This suggests that no polarization or poor contact has occurred at the electrodes, and the electric field strength between the electrodes changes approximately the same over time. Therefore, no signal noise is present in the electric field signal. Thus, the terminal can confirm that no electrode among the three target electrodes is causing signal noise. A correlation coefficient less than the correlation coefficient threshold (R) is considered valid when the correlation coefficient between any two electric field strengths of the three target electrodes at the target time is greater than the threshold value. i (E1, E2), R i (E1, E3) and R i There exists at least one correlation coefficient R in (E2, E3). i If the correlation coefficient is less than the threshold, it means that the correlation between the two electric field intensities corresponding to the correlation coefficient less than the threshold is low within n time points. This indicates that at least one of the electric field intensities is subject to signal interference. This signal interference may be caused by polarization or poor contact of at least one of the two electrodes corresponding to the electric field intensities. The electric field intensities between the electrodes change differently over time, resulting in signal noise in the electric field signal. Therefore, the terminal can confirm that there is an electrode among the three target electrodes that causes signal noise.

[0060] More specifically, if among the correlation coefficients between any two electric field intensities of the three target electrodes at the target time, there is one correlation coefficient greater than or equal to the correlation coefficient threshold, and two correlation coefficients less than the correlation coefficient threshold, then the target electrodes other than the two target electrodes with correlation coefficients greater than or equal to the correlation coefficient threshold can be regarded as the electrodes causing signal noise.

[0061] For example, if Figure 2 When the central electrode N is switched on, polarization occurs, causing signal noise interference (this phenomenon generally exists in the early stages of signal acquisition, and then the noise disappears as the polarization gradually stabilizes). Therefore, at each sampling moment within the corresponding time period, the electric field intensity associated with the central electrode N experiences similar signal interference, exhibiting essentially the same changes. Thus, the correlation coefficient R between the two electric field intensities associated with the central electrode N is... i Greater than or equal to the correlation coefficient threshold, i.e., R i (E1, E2) are relatively large. Since E3 is independent of the central electrode N and is not affected by the signal interference from the central electrode N, the changes between E3 and E1 or between E3 and E2 are not the same. Therefore, R... i (E1, E3) and R i (E2, E3) are less than the correlation coefficient threshold, meaning they are uncorrelated. Therefore, the above terminal can use the correlation coefficient to designate the central electrode N as the electrode causing signal noise.

[0062] Similarly, if the central electrode N experiences poor contact at a certain moment, leading to signal noise (generally, the signal of a signal acquisition system is relatively good in the early stages after being deployed on the seabed, but poor contact occurs at the electrodes for some reason after a period of use), then at each sampling moment after that time, the electric field intensity associated with the central electrode N will be subject to similar signal interference, exhibiting essentially the same changes. Therefore, the correlation coefficient R between the two electric field intensities associated with the central electrode N will remain the same. i Greater than or equal to the correlation coefficient threshold, i.e., R i (E1, E2) are relatively large. Since E3 is independent of the central electrode N and is not affected by the signal interference from the central electrode N, the changes between E3 and E1 or between E3 and E2 are not the same. Therefore, R... i (E1, E3) and R i (E2, E3) are less than the correlation coefficient threshold, meaning they are uncorrelated. Therefore, the above terminal can use the correlation coefficient to designate the central electrode N as the electrode causing signal noise.

[0063] As can be seen from the above description, in some embodiments of this application, the electrode that causes signal noise can be determined based on the correlation coefficient between every two electric field intensities of the three target electrodes.

[0064] In some other embodiments of this application, if the correlation coefficient between any two electric field intensities of the three target electrodes at the target time is less than the correlation coefficient threshold, it indicates that at least two of the three target electrodes cause signal noise.

[0065] It should be noted that the above explanation uses three target electrodes set in the first direction (x-direction) as an example to illustrate the specific implementation of electrodes that cause signal noise. For the second direction (y-direction) (i.e., the electrode...), the specific implementation method is different. and electrodes The specific implementation method of detecting the electrodes that cause signal noise by setting three target electrodes in the direction of listening is the same as the detection method of the three target electrodes set in the first direction x, and this application will not elaborate on it.

[0066] Furthermore, when the number of electrodes set in the first direction x or the second direction y is greater than three, the terminal can first select any three electrodes and detect whether there is an electrode that causes signal noise. Then, it can select three different electrodes and detect whether there is an electrode that causes signal noise. This process can be repeated until all electrode combinations have been detected, thus determining whether there is an electrode that causes signal noise among the multiple electrodes, or further determining which electrode among the multiple electrodes is the electrode that causes signal noise.

[0067] In the embodiments of this application, by determining the correlation coefficient between every two electric field intensities among at least three electrodes at a target time, and based on the correlation coefficient, determining whether there is an electrode causing signal noise among the at least three electrodes at the target time, it is possible to identify whether there is an electrode causing signal noise at the target time, thus realizing signal noise detection and avoiding the problem of reduced data analysis accuracy when using electric field signal data provided by electrodes causing signal noise for data analysis. Applying the noise-resistant seabed differential electrode system data acquisition method provided in this application to marine controlled-source electromagnetic exploration technology can effectively avoid the impact of signal noise caused by poorly polarized or poorly contacted electrodes on electric field signal analysis, thereby improving the accuracy of marine controlled-source electromagnetic exploration.

[0068] Furthermore, based on signal and noise detection at multiple target times, the time boundary between noise occurrence and termination can be quantitatively identified, that is, the specific time period during which polarization or poor contact occurs can be determined.

[0069] In order to maintain time synchronization, in some embodiments of this application, after determining whether there is an electrode causing signal noise among at least three electrodes at the target time, if there is an electrode causing signal noise among at least three electrodes at the target time, the electric field strength associated with the electrode that does not cause signal noise at the target time is replaced with the electric field strength associated with the electrode that does not cause signal noise at the target time.

[0070] In some embodiments of this application, the terminal can use the electric field strength between two electrodes that have at least one electrode polarized or have poor contact at the target time to replace the electric field strength between two electrodes that have no polarization or poor contact at the target time. In other words, the terminal can use electric field data that does not have signal noise at the same time to replace electric field data that has signal noise, so that when analyzing the electric field data at the target time, the use of electric field data with signal noise can be avoided.

[0071] Taking the polarization of the central electrode N as an example, assuming that the central electrode N is determined at sampling time t a To t b If polarization occurs, the sampling time t can be used. a To t b corresponding Replace sampling time t a To t b corresponding and

[0072] The embodiments of this application can identify signal noise caused by electrode polarization and poor contact between electrodes by performing correlation analysis on the measured electric field signal, and eliminate signal noise by data substitution, thereby improving data quality.

[0073] It should be noted that, for the sake of simplicity, the aforementioned method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders.

[0074] like Figure 5 The diagram shown is a structural schematic of a noise-resistant seabed differential electrode system data acquisition device 500 provided in an embodiment of this application. The noise-resistant seabed differential electrode system data acquisition device 500 is configured on a terminal. The terminal can be a computer, a signal acquisition system with certain computing power, or other equipment used for controlled-source electromagnetic exploration in the ocean.

[0075] Specifically, the noise-resistant seabed differential electrode system data acquisition device 500 may include:

[0076] The determining unit 501 is used to determine the correlation coefficient between every two electric field intensities of at least three electrodes at a target time, wherein the at least three electrodes are arranged in the same direction;

[0077] The detection unit 502 is used to determine, based on the correlation coefficient, whether there is an electrode among the at least three electrodes that causes signal noise at the target time.

[0078] In some embodiments of this application, the detection unit 502 described above may be specifically used to: determine whether there is an electrode causing signal noise among the three target electrodes at the target time based on the correlation coefficient between every two electric field intensities of the three target electrodes at the target time, wherein the three target electrodes are any three electrodes among the at least three electrodes.

[0079] In some embodiments of this application, the three target electrodes are three electrodes arranged along a first direction on the signal acquisition system, or the three target electrodes are three electrodes arranged along a second direction orthogonal to the first direction on the signal acquisition system.

[0080] In some embodiments of this application, one of the three target electrodes is an electrode disposed at the intersection of the first direction and the second direction on the signal acquisition system.

[0081] In some embodiments of this application, the detection unit 502 described above may be specifically used to: detect whether there is a correlation coefficient less than a correlation coefficient threshold among the correlation coefficients between every two electric field intensities of the three target electrodes at the target time; if there is a correlation coefficient less than the correlation coefficient threshold among the correlation coefficients between every two electric field intensities of the three target electrodes at the target time, then determine that there is an electrode among the three target electrodes that causes signal noise.

[0082] In some embodiments of this application, when the determining unit 501 determines the correlation coefficient between the first electric field intensity and the second electric field intensity in at least three electrodes at a target time, it can be specifically used to: calculate the average first electric field intensity of the first electric field intensity over n time periods and the average second electric field intensity of the second electric field intensity over the n time periods, wherein the n time periods include the target time; and calculate the correlation coefficient between the first electric field intensity and the second electric field intensity at the target time based on the average first electric field intensity, the average second electric field intensity, the first electric field intensity at the target time, and the second electric field intensity at the target time.

[0083] In some embodiments of this application, the noise-resistant seabed differential electrode system data acquisition device 500 may further include a data replacement unit, which may be used to: if there is an electrode among the at least three electrodes that causes signal noise at the target time, replace the electric field intensity associated with the electrode among the at least three electrodes that causes signal noise at the target time with the electric field intensity associated with the electrode among the at least three electrodes that does not cause signal noise at the target time.

[0084] It should be noted that, for the sake of convenience and brevity, the specific working process of the noise-resistant seabed differential electrode data acquisition device 500 described above can be found in the following reference: Figures 1 to 4 The corresponding process of the method will not be described in detail here.

[0085] like Figure 6 The diagram shown is a schematic representation of a terminal provided in an embodiment of this application. This terminal can be a computer, a signal acquisition system with certain computing capabilities, or other equipment used for controlled-source electromagnetic exploration in the ocean.

[0086] The terminal 6 may include a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60, such as a noise-resistant seabed differential electrode system data acquisition program. When the processor 60 executes the computer program 62, it implements the steps described in the various noise-resistant seabed differential electrode system data acquisition method embodiments above, for example... Figure 1 The steps S101 to S102 are shown. Alternatively, when the processor 60 executes the computer program 62, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 5 The determination unit 501 and the detection unit 502 are shown.

[0087] The computer program can be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal.

[0088] For example, the computer program can be divided into a determination unit and a detection unit. The specific functions of each unit are as follows: the determination unit is used to determine the correlation coefficient between every two electric field intensities of at least three electrodes arranged in the same direction at a target time; the detection unit is used to determine, based on the correlation coefficient, whether any of the at least three electrodes at the target time contains an electrode that causes signal noise.

[0089] The terminal may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 6 This is merely an example of a terminal and does not constitute a limitation on the terminal. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal may also include input / output devices, network access devices, buses, etc.

[0090] The processor 60 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0091] The memory 61 can be an internal storage unit of the terminal, such as a hard drive or RAM. The memory 61 can also be an external storage device of the terminal, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 61 can include both internal and external storage units. The memory 61 is used to store the computer program and other programs and data required by the terminal. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0092] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0093] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0094] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for various specific applications, but such implementations should not be considered beyond the scope of this application.

[0095] In the embodiments provided in this application, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0096] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0097] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0098] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0099] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A noise-resistant data acquisition method for a seabed differential electrode system, characterized in that, include: Determine the correlation coefficient between every two electric field intensities of at least three electrodes arranged in the same direction at a target time. The correlation coefficient is used to represent the degree of linear correlation between two electric field intensities in the time dimension. Based on the correlation coefficient between every two electric field intensities of the three target electrodes at the target time, it is determined whether there is an electrode among the three target electrodes at the target time that causes signal noise, wherein the three target electrodes are any three electrodes among the at least three electrodes; The step of determining whether there is an electrode causing signal noise among the three target electrodes at the target time based on the correlation coefficient between every two electric field intensities of the three target electrodes at the target time includes: Detect whether there is a correlation coefficient less than a correlation coefficient threshold among the correlation coefficients between any two electric field intensities of the three target electrodes at the target time; If, at the target time, there is a correlation coefficient less than the correlation coefficient threshold among the correlation coefficients between any two electric field intensities of the three target electrodes, then it is determined that there is an electrode among the three target electrodes that causes signal noise. In the step of determining the correlation coefficient between every two electric field intensities of at least three electrodes at a target time, the step of determining the correlation coefficient between the first electric field intensity and the second electric field intensity of the at least three electrodes at the target time includes: Calculate the average value of the first electric field strength and the average value of the second electric field strength over n time points, wherein the n time points include the target time point, and the first electric field strength and the second electric field strength are electric field strengths measured by different electric field measuring electrode systems; Based on the average value of the first electric field strength, the average value of the second electric field strength, the first electric field strength at the target time, and the second electric field strength at the target time, calculate the correlation coefficient between the first electric field strength and the second electric field strength at the target time. Correlation coefficient between the first electric field strength and the second electric field strength ;in, ; K and L These represent different electric field measurement electrode systems; i This represents the time sampling sequence number; for n The average value of the first electric field intensity corresponding to each time point; for n The average value of the second electric field intensity corresponding to each time point; for and The difference between normalized data and the correlation coefficient The value of is in the range of (-1, +1).

2. The noise-resistant seabed differential electrode system data acquisition method as described in claim 1, characterized in that, The three target electrodes are three electrodes arranged along the first direction on the signal acquisition system, or the three target electrodes are three electrodes arranged along the second direction orthogonal to the first direction on the signal acquisition system.

3. The noise-resistant seabed differential electrode system data acquisition method as described in claim 2, characterized in that, One of the three target electrodes is the electrode on the signal acquisition system located at the intersection of the first direction and the second direction.

4. The noise-resistant seabed differential electrode system data acquisition method as described in any one of claims 1 to 3, characterized in that, The method further includes: If, at the target time, there is an electrode among the at least three electrodes that causes signal noise, then the electric field strength associated with the electrode among the at least three electrodes that causes signal noise at the target time is replaced with the electric field strength associated with the electrode among the at least three electrodes that does not cause signal noise at the target time.

5. A noise-resistant seabed differential electrode system data acquisition device, characterized in that, include: A determining unit is used to determine the correlation coefficient between every two electric field intensities in at least three electrodes at a target time, wherein the at least three electrodes are arranged in the same direction, and the correlation coefficient is used to represent the degree of linear correlation between two electric field intensities in the time dimension; The detection unit is used to determine, based on the correlation coefficient between every two electric field intensities of the three target electrodes at the target time, whether there is an electrode that causes signal noise among the three target electrodes at the target time, wherein the three target electrodes are any three electrodes among the at least three electrodes; When determining the correlation coefficient between the first electric field strength and the second electric field strength in at least three electrodes at a target time, the determining unit is specifically used to: calculate the average first electric field strength of the first electric field strength over n time periods and the average second electric field strength of the second electric field strength over the n time periods, wherein the n time periods include the target time, and the first electric field strength and the second electric field strength are electric field strengths measured by different electric field measuring electrode systems; and calculate the correlation coefficient between the first electric field strength and the second electric field strength at the target time based on the average first electric field strength, the average second electric field strength, the first electric field strength at the target time, and the second electric field strength at the target time. Correlation coefficient between the first electric field strength and the second electric field strength ;in, ; K and L These represent different electric field measurement electrode systems; i This represents the time sampling sequence number; for n The average value of the first electric field intensity corresponding to each time point; for n The average value of the second electric field intensity corresponding to each time point; for and The difference between normalized data and the correlation coefficient The value of is in the range of (-1, +1); The detection unit is specifically used to: detect whether there is a correlation coefficient less than a correlation coefficient threshold among the correlation coefficients between any two electric field intensities of the three target electrodes at the target time; if there is a correlation coefficient less than the correlation coefficient threshold among the correlation coefficients between any two electric field intensities of the three target electrodes at the target time, then it is determined that there is an electrode among the three target electrodes that causes signal noise.

6. A terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 4.

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