Seabed node multi-component rotation quality control method and device based on cross-correlation principle

Abstract

The invention provides a seabed node multi-component rotation quality control method and device based on a cross-correlation principle, and belongs to the field of quality control of seabed node multi-component rotation effects. The method comprises the following steps: acquiring P component data acquired by a seabed node and X, Y and Z three-component data after rotation, and carrying out P, X, Y and Z four-component data separation; preprocessing the separated four-component data to obtain preprocessed four-component data; obtaining a comprehensive polarity analysis graph of a P component according to P component data in the preprocessed four-component data; respectively calculating correlation coefficients of P component water detection and rotated X, Y and Z three-component land detection; forming a polarity analysis chart of the rotated X, Y and Z components according to the polar quality control chart of the P component and the correlation coefficients of the water detection of the P component and the land detection of the rotated X, Y and Z components; and according to the polarity analysis chart of the X, Y and Z components after rotation, the rotation effect of the X, Y and Z component data after rotation is subjected to quality control.

Description

Technical Field

[0001] The present invention relates to a quality control technology for multi-component rotation effects of seabed nodes, and in particular to a multi-component rotation quality control method for seabed nodes based on the cross-correlation principle, a multi-component rotation quality control device for seabed nodes based on the cross-correlation principle, an electronic device and a machine-readable storage medium. Background Art

[0002] With the continuous development of geophysical exploration technology, the use of seabed nodes for acquisition has become the main trend in marine seismic exploration. Placing seabed nodes, i.e., detectors, directly on the seabed not only makes the observation system layout more flexible and can better meet the exploration needs of all-round, high-density, and large offset, but also can receive shear waves and longitudinal waves, realize four-component acquisition, and make the seismic records contain richer information, providing a data basis for converted wave imaging, fracture determination, reservoir inversion, etc.

[0003] When collecting multi-component seismic data on the seabed, especially when collecting seismic data, due to the uncertainty of construction conditions, the direction of the seabed node sinking cannot be directly controlled. It is difficult to ensure that the Z component of each three-component detector is placed in the vertical direction and the X component is placed parallel to the survey line direction in full accordance with the requirements of the acquisition design. Therefore, it is necessary to use the three-component detector direction information recorded by the inclinometer, gyroscope or compass during data acquisition to obtain the true placement direction of the three-component detector and complete the three-component rotation correction. If the data rotation is not in place, it will cause shear wave energy on the Z component and longitudinal wave energy on the horizontal component, which will have a serious impact on subsequent wave field separation, imaging and inversion. Therefore, quality control of the three-component directional rotation effect is a key basic step.

[0004] The commonly used quality control method at present is to perform single-node multi-component root mean square amplitude value quality control on the original continuous gather data. The principle is to comprehensively present the energy value of each node in each shot to achieve the purpose of quality control of the rotation effect. However, this method has its limitations. First, due to the huge amount of node data, it is very time-consuming to check the root mean square amplitude value of all nodes, and the efficiency of quality control needs to be improved; second, it cannot meet the needs of simultaneous rotation effect quality control of multiple nodes. Summary of the invention

[0005] The purpose of the embodiment of the present invention is to provide a multi-component rotation quality control method, device, equipment and storage medium for seabed nodes. The method utilizes the non-directional physical characteristics of the P component received by the seabed node. First, the polarity characteristics of the P component are judged according to the amplitude value of the P component, and then the other three components are cross-correlated with the P component respectively by using the principle of cross-correlation. The polarities of the three components X, Y, and Z are judged according to the required correlation coefficients. Finally, the three-component polarity analysis diagrams after rotation of all nodes are compared for quality control to meet the needs of simultaneous rotation effect quality control of multiple nodes, thereby improving the efficiency and accuracy of quality control.

[0006] In order to achieve the above object, the first aspect of the present invention provides a method for multi-component rotation quality control of a seafloor node based on the cross-correlation principle, the method comprising:

[0007] Obtain the P component data collected by the seabed node and the rotated X, Y, and Z three-component data, and separate the P, X, Y, and Z four-component data;

[0008] Preprocessing the separated four-component data to obtain preprocessed four-component data;

[0009] Obtaining a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data;

[0010] Calculate the correlation coefficients of the P component water detection and the rotated X, Y, and Z components land detection respectively;

[0011] According to the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the rotated X, Y, Z components, a polarity analysis diagram of the rotated X, Y, Z components is formed;

[0012] The rotation effect of the X, Y, Z three-component data after rotation is quality controlled based on the polarity analysis diagram of the X, Y, Z three-component data after rotation.

[0013] In the embodiment of the present application, a polarity analysis diagram of the rotated X, Y, and Z components is formed according to the polarity quality control diagram of the P component and the correlation coefficient between the P component water test and the rotated X, Y, and Z components land test, including:

[0014] The polarity of each component is determined based on the correlation coefficient between the P component water test and the rotated X, Y, and Z components land test:

[0015] If the correlation coefficient is greater than or equal to the first preset value, it is determined that the P component is positively correlated with the corresponding component, and the polarity of the corresponding component is consistent with the polarity of the P component;

[0016] If the correlation coefficient is less than or equal to the second preset value, it is determined that the P component is negatively correlated with the corresponding component, and the polarity of the corresponding component is opposite to that of the P component;

[0017] If the correlation coefficient is greater than the second preset value and less than the first preset value, it is determined that the P component has no correlation with the corresponding component;

[0018] A polarity analysis diagram of the corresponding component is formed according to the polarity of each component.

[0019] According to the above technical means, the polarities of the X, Y, and Z component data can be determined according to the correlation coefficients between the P component and the rotated X, Y, and Z component data, respectively, so as to determine the polarity analysis diagram of the corresponding component according to the polarity of each component, thereby providing a data basis for quality control.

[0020] In the embodiment of the present application, the rotation effect of the rotated X, Y, and Z three-component data is quality-controlled according to the polarity analysis diagram of the rotated X, Y, and Z three-component data, including:

[0021] Traverse each node in the polarity analysis diagram of each component to determine whether the polarity of each node is consistent. If there is an abnormal polarity, it is determined that the corresponding component is not rotated properly or rotated incorrectly.

[0022] According to the above technical means, it is possible to determine whether the corresponding polarity is abnormal based on the X, Y, and Z three-component polarity analysis diagram, and to quickly perform rotation quality control.

[0023] In the embodiment of the present application, the separated four-component data is preprocessed to obtain the preprocessed four-component data, including:

[0024] The data of each component after separation are processed by limiting the offset distance to obtain the data of each component after limiting the offset;

[0025] Linear correction is performed on each component data after the restricted offset processing to obtain the four-component data after linear correction.

[0026] According to the above technical means, the time difference between the travel time of the reflected wave at different offsets and the travel time of the reflected wave obtained at zero offset (self-excitation) can be eliminated through linear correction.

[0027] In the embodiment of the present application, obtaining a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data includes:

[0028] Reduce the offset according to the shot point coordinates and seabed node coordinates in the four-component data;

[0029] Calculate the average amplitude value of the P component according to the P component data in the four-component data after line calibration;

[0030] According to the physical characteristics of the P component and the average amplitude value of the P component corresponding to each node, a P component polarity analysis diagram of each node is formed;

[0031] A comprehensive polarity analysis diagram of the P component is formed according to the polarity analysis diagrams of the P components of different nodes.

[0032] According to the above technical means, the shot points detected simultaneously by each seabed node can be separated by reducing the shot offset. According to the calculated average amplitude value, the physical characteristics of the P component can be determined more accurately, and finally an accurate polarity quality control diagram of the P component can be formed.

[0033] In the embodiment of the present application, the offset is reduced according to the shot point coordinates and the seabed node coordinates in the four-component data, including:

[0034] The shot point coordinates are calculated according to the following formula:

[0035] S x -R x =(S x -R x ) / D l ×D s ;

[0036] S y -R y =(S y -R y ) / D l ×D s ;

[0037] Among them, S x is the X coordinate of the shot point, S y is the Y coordinate of the shot point, R x is the X coordinate of the seafloor node, R y is the Y coordinate of the seafloor node, D l is the preset offset distance, D s is the distance between the gunpoints.

[0038] According to the above technical means, the shot offset is reduced to be centered on the corresponding seabed node, so as to separate the shot points detected simultaneously by each seabed node.

[0039] In the embodiment of the present application, the average amplitude value of the P component is calculated according to the P component data in the four component data after line calibration, including:

[0040] The time window of the first arrival of the P component below the preset time is extracted using the seismic trace attributes;

[0041] The average amplitude value of the P component in each time window is calculated based on the P component data.

[0042] According to the above technical means, the amplitude value of the first arrival of the P component can be extracted.

[0043] In the embodiment of the present application, according to the physical characteristics of the P component and the average amplitude value of the P component corresponding to each node, a P component polarity analysis diagram of each node is formed, including:

[0044] Determine whether the average amplitude value of each P component corresponding to the node is positive. If so, determine that the corresponding P component meets the physical characteristics of the P component negative jump positive polarity, and form a polarity analysis diagram of the first color; otherwise, determine that the corresponding P component does not meet the physical characteristics of the P component negative jump positive polarity, and form a polarity analysis diagram of the second color;

[0045] According to the polarity analysis diagrams of all P components corresponding to the node, a polarity analysis diagram corresponding to the node is formed.

[0046] According to the above technical means, a P component polarity quality control diagram of each shot line can be formed according to the average amplitude value of the P component, and different polarities can be distinguished by using different colors.

[0047] In an embodiment of the present application, the method further includes:

[0048] Obtain the original four-component data collected by the seabed nodes;

[0049] The correlation coefficient between the P component water detection and the X, Y, and Z components land detection before rotation is calculated based on the original four-component data;

[0050] Based on the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the X, Y, Z components before rotation, a polarity analysis diagram of the X, Y, Z components before rotation is formed;

[0051] The rotation effect of the X, Y, Z three-component data before and after the rotation is quality controlled based on the polarity analysis diagram of the X, Y, Z three-component data before and after the rotation.

[0052] According to the above technical means, quality control comparison can be performed based on the three-component polarity analysis diagrams before and after rotation to improve the accuracy of quality control.

[0053] In the embodiment of the present application, the rotation effect of the X, Y, Z three-component data before and after the rotation is quality-controlled according to the polarity analysis diagram of the X, Y, Z three-component data before and after the rotation, including:

[0054] Compare the corresponding relationship between the polarity analysis diagram of the X, Y, and Z components of each seabed node before rotation and the polarity analysis diagram of the X, Y, and Z components after rotation to see if they are consistent. If there is any inconsistency, it is determined that the rotation angle of the corresponding node is abnormal.

[0055] According to the above technical means, by using the three-component polarity analysis diagram before and after rotation for quality control comparison, it is possible to more accurately correspond to the seabed nodes with abnormalities during the quality control process, thereby improving the accuracy.

[0056] A second aspect of the present application provides a multi-component rotation quality control device for a seabed node based on the cross-correlation principle, the multi-component rotation quality control device for a seabed node based on the cross-correlation principle comprising:

[0057] A data acquisition unit is used to acquire the P component data collected by the seabed node and the rotated X, Y, and Z three-component data, and separate the P, X, Y, and Z four-component data;

[0058] A data preprocessing unit is used to preprocess the separated four-component data to obtain the preprocessed four-component data and separate the P, X, Y, and Z four-component data;

[0059] A P component polarity analysis diagram generating unit, used for obtaining a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data;

[0060] A correlation coefficient calculation unit, used to calculate the correlation coefficients of the P component water detection and the rotated X, Y, Z three-component land detection respectively;

[0061] The X, Y, Z three-component polarity analysis diagram generating unit is used to form the polarity analysis diagram of the rotated X, Y, Z three-components according to the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the rotated X, Y, Z three-components;

[0062] The quality control judgment unit is used to quality control the rotation effect of the X, Y, and Z three-component data after rotation according to the polarity analysis diagram of the X, Y, and Z three-component data.

[0063] According to the above technical means, utilizing the non-directional physical characteristics of the P component received by the seabed node, firstly, the polarity characteristics of the P component are judged according to the amplitude value of the P component, and then the other three components are cross-correlated with the P component respectively by utilizing the principle of cross-correlation, and the polarities of the three components X, Y, and Z are judged according to the required correlation coefficients. Finally, the polarity analysis diagrams of the three components after rotation of all nodes are compared for quality control, so as to meet the needs of simultaneous rotation effect quality control of multiple nodes, thereby improving the efficiency and accuracy of quality control.

[0064] The third aspect of the present application provides an electronic device, comprising: one or more processors; a memory; a module with multiple applications installed; and one or more programs, wherein the one or more programs are stored in the memory, and when the one or more programs are executed by the processor, the electronic device executes the multi-component rotation quality control method of the seabed node based on the principle of cross-correlation.

[0065] A fourth aspect of the present application provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the multi-component rotation quality control method for seafloor nodes based on the cross-correlation principle.

[0066] Through the above technical scheme, the principle of cross-correlation is utilized to perform cross-correlation operations on the three components X, Y, and Z with the P component respectively, and the polarities of the three components are determined based on the obtained correlation coefficients. The polarity comparison diagram of the three components of all nodes before and after the rotation is used to quality control the rotation effect, thereby meeting the needs of simultaneous rotation effect quality control of multiple nodes and improving the efficiency and accuracy of quality control.

[0067] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0069] Figure 1 It is a flow chart of a method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle provided by an embodiment of the present invention;

[0070] Figure 2 It is a schematic diagram of the effect after limiting the offset distance processing provided by an embodiment of the present invention;

[0071] Figure 3 It is a schematic diagram of the effect after linear correction provided by one embodiment of the present invention;

[0072] Figure 4 It is a schematic diagram of the effect of reducing the offset provided by one embodiment of the present invention;

[0073] Figure 5 is a schematic diagram of the cross-correlation principle provided by an embodiment of the present invention;

[0074] Figure 6 A comparison diagram of different shot line polarities of a four-component common detection point gather provided by an embodiment of the present invention;

[0075] Figure 7 It is a four-component polar quality control diagram after rotation provided by an embodiment of the present invention;

[0076] Figure 8 It is a flow chart of a method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle provided by another embodiment of the present invention;

[0077] Fig. 9It is a block diagram of a device for multi-component rotation quality control of a seafloor node based on the cross-correlation principle provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0078] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0079] The seabed node is a four-component acquisition. The P component of the water detector is a pressure detector, which receives the pressure wave field. The land detector is a velocity detector, including three components of X, Y, and Z, which receives the particle motion velocity wave field. Under horizontal layered medium conditions, the seismic response of conventional single-component seismic records is independent of the gun inspection azimuth. However, the multi-component node instrument receives a vector wave field. The polarity and amplitude of the seismic response recorded by the two horizontal components of X and Y change with the gun inspection azimuth. Therefore, the true direction of the placement of the three-component detector is extremely important information for multi-component data processing. Due to the different physical mechanisms of pressure detectors and velocity detectors, they have different responses to the received seismic wave fields. The signal received by the P-component pressure detector is a scalar, which is independent of the direction. When the seismic wave field near it expands, a positive pulse is generated, and a negative pulse is generated under compression. The purpose of the present invention is to make full use of the non-directional physical characteristics of the P component. First, the polarity characteristics of the P component are judged according to its initial amplitude value, and then the other three components are cross-correlated with the P component respectively by using the principle of cross-correlation. The polarities of the three components X, Y, and Z are judged according to the required correlation coefficients. Finally, the three-component polarity analysis diagrams after all nodes are rotated are compared for quality control to meet the needs of simultaneous rotation effect quality control of multiple nodes, thereby improving the efficiency and accuracy of quality control.

[0080] Figure 1 This is a flow chart of a method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle provided by an embodiment of the present invention. Figure 1 As shown, the method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle includes:

[0081] S1: Obtain the P component data collected by the seabed node and the rotated X, Y, and Z three-component data, and separate the P, X, Y, and Z four-component data.

[0082] In the embodiment of the present application, the four-component data collected by the seabed node at least includes: the collected P, X, Y, Z four-component data, the coordinates of the seabed node, the coordinates of each shot point, etc. In this embodiment, only the collected P component data and the coordinates of the seabed node, the coordinates of each shot point, etc. need to be obtained. The rotated X, Y, Z three-component data can be directly obtained from the system that implements the three-component rotation correction, or the three-component data after rotation correction can be input.

[0083] In the embodiment of the present application, the seabed node is a four-component acquisition, the water detection P component is a pressure detector, and the land detection is a velocity detector, including three components X, Y, and Z. The four components are separated by component type.

[0084] S2: Preprocessing the separated four-component data to obtain preprocessed four-component data.

[0085] In the embodiment of the present application, the four-component data is preprocessed to obtain corrected four-component data, including:

[0086] S201: Perform offset limiting processing on the data of each component after separation to obtain the data of each component after offset limiting. In the embodiment of the present application, the offset limiting processing mainly limits the distance between the seabed node and the shot point, and eliminates the data exceeding the preset offset distance through the offset limiting processing. The preset offset distance is set according to the demand. In one embodiment of the present application, the preset offset distance is 300m. The effect after the offset limiting processing is as follows Figure 2 shown.

[0087] S202: Perform linear correction on each component data after the limited offset processing to obtain the four-component data after linear correction. Linear correction can also be called linear time difference correction, referred to as LMO. Through linear correction, the time difference between the travel time of the reflection wave at different shot offsets and the travel time of the reflection wave obtained at zero shot offset (self-excitation) is eliminated. The effect after linear correction is as follows: Figure 3 shown.

[0088] According to the above technical means, by limiting the offset distance processing, data exceeding the preset offset distance can be eliminated, eliminating the deviation caused by the distance. By linear correction, the time difference between the travel time of the reflected wave at different shot offsets and the travel time of the reflected wave obtained at zero shot offset (self-excitation) can be eliminated.

[0089] S3: Obtain a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data.

[0090] In the embodiment of the present application, obtaining a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data includes:

[0091] S301: reducing the offset according to the shot point coordinates and the seabed node coordinates in the four-component data.

[0092] In the embodiment of the present application, the offset is reduced according to the shot point coordinates and the seabed node coordinates in the four-component data, including:

[0093] The shot point coordinates are calculated according to the following formula:

[0094] Sx -R x =(S x -R x ) / D l ×D s ;

[0095] S y -R y =(S y -R y ) / D l ×D s ;

[0096] Among them, S x is the X coordinate of the shot point, S y is the Y coordinate of the shot point, R x is the X coordinate of the seafloor node, R y is the Y coordinate of the seafloor node, D l is the preset offset distance, D s is the distance between the shot points. The effect of reducing the offset is as follows Figure 4 shown.

[0097] According to the above technical means, the shot offsets are reduced to the corresponding seabed nodes as the center, so as to separate the shot points detected simultaneously by each seabed node.

[0098] S302: Calculate the average amplitude value of the P component according to the P component data among the four component data after line calibration.

[0099] In the embodiment of the present application, the average amplitude value of the P component is calculated as follows:

[0100] The seismic trace attributes are used to extract a time window of a preset time below the first arrival of the P component; in one embodiment, the preset time is 10 ms.

[0101] The average amplitude value of the P component in each time window is calculated based on the P component data.

[0102] According to the above technical means, the average amplitude value of each shot of each node is calculated and extracted, and the extracted average amplitude value can form a statistical text file of the average amplitude value of the P component.

[0103] S303: According to the physical characteristics of the P component and the average amplitude value of the P component corresponding to each node, a P component polarity analysis diagram of each node is formed, specifically:

[0104] Determine whether the average amplitude value of each P component corresponding to the node is positive. If so, determine that the corresponding P component meets the physical characteristics of the P component negative jump positive polarity, and form a polarity analysis diagram of the first color; otherwise, determine that the corresponding P component does not meet the physical characteristics of the P component negative jump positive polarity, and form a polarity analysis diagram of the second color;

[0105] According to the polarity analysis diagrams of all P components corresponding to the node, a polarity analysis diagram corresponding to the node is formed.

[0106] According to the above technical means, a P component polarity quality control diagram of each shot line can be formed according to the average amplitude value of the P component, and different polarities can be distinguished by using different colors.

[0107] S304: forming a comprehensive polarity analysis diagram of the P component according to the polarity analysis diagrams of the P components of different nodes.

[0108] According to the above technical means, the shot points detected simultaneously by each seabed node can be separated by reducing the shot offset. According to the calculated average amplitude value, the physical characteristics of the P component can be determined more accurately, and finally an accurate polarity quality control diagram of the P component can be formed.

[0109] S4: Calculate the correlation coefficients between the P component water detection and the rotated X, Y, and Z components land detection respectively.

[0110] In the embodiment of the present application, the cross-correlation principle is used to calculate the correlation coefficient, that is, in signal processing, cross-correlation is used to represent the similarity between two signals f(x) and g(x). It is a function of the two signals directly relative to time, sometimes also called "sliding dot product". The principle is as follows Figure 5 As shown. For two discrete signals f i , g i , the cross-correlation function Defined as:

[0111]

[0112] Correlation coefficient: When the correlation coefficient is closer to +1 or -1, it indicates a positive correlation (+1) or negative correlation (-1) between the arrays; when the correlation coefficient is close to 0, it indicates no or weak correlation. Semblance: The correlation coefficient between two input data within a specified time window. The calculation formula of the correlation coefficient is: Right now

[0113] Among them, Cov(X,Y) represents covariance, and D(x) and D(Y) represent variance.

[0114] In the embodiment of the present application, a time window range of 10ms below the first arrival is selected, and the P component is cross-correlated with the three components X, Y, and Z respectively. According to the above formula, the correlation coefficients of PX, PY, and PZ are obtained.

[0115] S5: A polarity analysis diagram of the rotated X, Y, Z components is formed based on the polarity quality control diagram of the P component, the water inspection of the P component and the land inspection of the rotated X, Y, Z components.

[0116] In the embodiment of the present application, a polarity analysis diagram of the rotated X, Y, and Z components is formed according to the polarity quality control diagram of the P component and the correlation coefficient between the P component water test and the rotated X, Y, and Z components land test, including:

[0117] The polarity of each component is determined based on the correlation coefficient between the P component water test and the rotated X, Y, and Z components land test:

[0118] If the correlation coefficient is greater than or equal to the first preset value, it is determined that the P component is positively correlated with the corresponding component, and the polarity of the corresponding component is consistent with the polarity of the P component;

[0119] If the correlation coefficient is less than or equal to the second preset value, it is determined that the P component is negatively correlated with the corresponding component, and the polarity of the corresponding component is opposite to that of the P component;

[0120] If the correlation coefficient is greater than the second preset value and less than the first preset value, it is determined that the P component has no correlation with the corresponding component;

[0121] A polarity analysis diagram of the corresponding component is formed according to the polarity of each component.

[0122] In practical applications, different colors are used to represent different polarities. For example, in the aforementioned scheme, the first color is used to represent the negative jump to positive polarity of the P component, and the second color is used to represent the positive jump to negative polarity of the opposite polarity of the P component. Therefore, when the correlation coefficient is greater than or equal to the first preset value, it is determined that the P component is positively correlated with the corresponding component, that is, the polarity color of the corresponding node is consistent with the polarity color of the P component; when the correlation coefficient is less than or equal to the second preset value, it is determined that the P component is negatively correlated with the corresponding component, that is, the polarity color of the corresponding node is opposite to the polarity color of the P component; that is, when the P component is the first color, the corresponding node uses the second color, and when the P component is the second color, the corresponding node uses the first color; if the correlation coefficient is greater than the second preset value and less than the first preset value, it is determined that the P component has no correlation with the corresponding component, and the third color is introduced for representation.

[0123] According to the above technical means, the polarities of the X, Y, and Z component data can be determined according to the correlation coefficients between the P component and the rotated X, Y, and Z component data, respectively, so as to determine the polarity analysis diagram of the corresponding component according to the polarity of each component, thereby providing a data basis for quality control.

[0124] S6: Quality control the rotation effect of the rotated X, Y, Z three-component data according to the polarity analysis diagram of the rotated X, Y, Z three-component data.

[0125] In the embodiment of the present application, the rotation effect of the rotated X, Y, and Z three-component data is quality-controlled according to the polarity analysis diagram of the rotated X, Y, and Z three-component data, including:

[0126] Traverse each node in the polarity analysis diagram of each component to determine whether the polarity of each node is consistent. If there is an abnormal polarity, it is determined that the corresponding component has an abnormal rotation angle, that is, the rotation is not in place or the rotation is wrong.

[0127] The above method can determine whether the corresponding component has an abnormal rotation angle. In order to more quickly determine the abnormal nodes, during the verification process, a small number of inconsistent nodes are verified first.

[0128] According to the above technical means, it is possible to determine whether the corresponding polarity is abnormal based on the X, Y, and Z three-component polarity analysis diagram, and to quickly perform polarity quality control.

[0129] like Figure 6 As shown, the polarity of the P component is negative and jumps to positive. By extracting the amplitude value, the polarity of the P component can be controlled as follows: Figure 7 The polarity of the three components X, Y, and Z can be determined based on the correlation coefficient results of PX, PY, and PZ. Figure 7 The Z component is positive and negative, and the correlation coefficient between the P component and the Z component is -1, that is, the polarity of the P component is negatively correlated with the polarity of the Z component. The polarity quality control diagram is as follows Figure 7 as shown; Figure 7 In the X-component polarity quality control diagram, the correlation coefficient of the upper left part of each seafloor node in the X-component is -1, and the correlation coefficient of the lower right part is 1, that is, the polarity of the upper left part is positive jump negative polarity, and the polarity of the lower right part is negative jump positive polarity; Figure 7 In the quality control chart of the Y component polarity, the correlation coefficient of the upper right part of the Y component is -1, and the correlation coefficient of the lower left part is 1, that is, the polarity of the upper right part is positive jump to negative polarity, and the polarity of the lower left part is negative jump to positive polarity.

[0130] Due to the difference between the receiving direction and the incident angle, such as Figure 7 The polarity distribution of the X component of each seafloor node shows symmetrical opposite polarity along the vertical survey line (CrossLine), and the polarity distribution of the Y component shows symmetrical opposite polarity along the survey line (InLine). The node can intuitively control whether the rotation is accurate based on the polarity quality control diagram of the three components of X, Y, and Z. Figure 7 The X component polarity QC chart and the Y component polarity QC chart can be judged according to whether the polarity of the node after rotation is symmetrically opposite to the CrossLine direction or the InLine direction. For the nodes at the circled positions in the figure, the polarities of the X and Y components are deviated, and it can be judged that the rotation angle is abnormal.

[0131] Through the above technical scheme, the principle of cross-correlation is utilized to perform cross-correlation operations on the three components X, Y, and Z with the P component respectively, and the polarities of the three components are determined based on the obtained correlation coefficients. The polarity comparison diagram of the three components of all nodes before and after the rotation is used to quality control the rotation effect, thereby meeting the needs of simultaneous rotation effect quality control of multiple nodes and improving the efficiency and accuracy of quality control.

[0132] Figure 8 This is a flow chart of a method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle provided by an embodiment of the present invention. Figure 8 As shown, the method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle includes:

[0133] S1: Obtain the original four-component data collected by the seabed node and the rotated X, Y, and Z three-component data, and separate the P, X, Y, and Z four-component data.

[0134] S2: Preprocessing the separated four-component data to obtain preprocessed four-component data.

[0135] S3: Obtain a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data.

[0136] S4: Calculate the correlation coefficient between the P component water detection and the X, Y, Z three-component land detection after rotation and the correlation coefficient between the P component water detection and the X, Y, Z three-component land detection before rotation according to the four-component data.

[0137] S5: forming a polarity analysis diagram of the rotated X, Y, and Z components according to the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the rotated X, Y, and Z components;

[0138] S6: forming a polarity analysis diagram of the three components X, Y, and Z before rotation according to the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the three components X, Y, and Z before rotation;

[0139] S7: Quality control the rotation effect of the X, Y, Z three-component data before and after the rotation based on the polarity analysis diagram of the X, Y, Z three-component data before and after the rotation.

[0140] According to the above technical means, quality control comparison can be performed based on the three-component polarity analysis diagrams before and after rotation to improve the accuracy of quality control.

[0141] In the embodiment of the present application, the rotation effect of the X, Y, Z three-component data before and after the rotation is quality-controlled according to the polarity analysis diagram of the X, Y, Z three-component data before and after the rotation, including:

[0142] Compare the corresponding relationship between the polarity analysis diagram of the X, Y, and Z components of each seabed node before rotation and the polarity analysis diagram of the X, Y, and Z components after rotation to see if they are consistent. If there is any inconsistency, it is determined that the rotation angle of the corresponding node is abnormal.

[0143] According to the above technical means, by using the three-component polarity analysis diagram before and after rotation for quality control comparison, it is possible to more accurately correspond to the seabed nodes with abnormalities during the quality control process, thereby improving the accuracy.

[0144] The second aspect of the present application provides a multi-component rotation quality control device for a seafloor node based on the cross-correlation principle, such as Fig. 9 As shown, the multi-component rotation quality control device for seabed nodes based on the cross-correlation principle includes:

[0145] A data acquisition unit is used to acquire the P component data collected by the seabed node and the rotated X, Y, and Z three-component data, and separate the P, X, Y, and Z four-component data;

[0146] A data preprocessing unit, used for preprocessing the separated four-component data to obtain preprocessed four-component data;

[0147] A P component polarity analysis diagram generating unit, used for obtaining a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data;

[0148] A correlation coefficient calculation unit, used to calculate the correlation coefficients of the P component water detection and the rotated X, Y, Z three-component land detection respectively;

[0149] The X, Y, Z three-component polarity analysis diagram generating unit is used to form the polarity analysis diagram of the rotated X, Y, Z three-components according to the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the rotated X, Y, Z three-components;

[0150] The quality control judgment unit is used to quality control the rotation effect of the X, Y, and Z three-component data after rotation according to the polarity analysis diagram of the X, Y, and Z three-component data.

[0151] According to the above technical means, utilizing the non-directional physical characteristics of the P component received by the seabed node, firstly, the polarity characteristics of the P component are judged according to the amplitude value of the P component, and then the other three components are cross-correlated with the P component respectively by utilizing the principle of cross-correlation, and the polarities of the three components X, Y, and Z are judged according to the required correlation coefficients. Finally, the polarity analysis diagrams of the three components after rotation of all nodes are compared for quality control, so as to meet the needs of simultaneous rotation effect quality control of multiple nodes, thereby improving the efficiency and accuracy of quality control.

[0152] The third aspect of the present application provides an electronic device, comprising: one or more processors; a memory; a module with multiple applications installed; and one or more programs, wherein the one or more programs are stored in the memory, and when the one or more programs are executed by the processor, the electronic device executes the multi-component rotation quality control method of the seabed node based on the principle of cross-correlation.

[0153] A fourth aspect of the present application provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the multi-component rotation quality control method for seafloor nodes based on the cross-correlation principle.

[0154] Through the above technical scheme, the principle of cross-correlation is utilized to perform cross-correlation operations on the three components X, Y, and Z with the P component respectively, and the polarities of the three components are determined based on the obtained correlation coefficients. The polarity comparison diagram of the three components of all nodes before and after the rotation is used to quality control the rotation effect, thereby meeting the needs of simultaneous rotation effect quality control of multiple nodes and improving the efficiency and accuracy of quality control.

[0155] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor (processor) perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0156] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0157] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A method for multi-component rotation quality control of seabed nodes based on the principle of cross-correlation. It is characterized in that The method comprises: Obtain the P component data collected by the seabed node and the rotated X, Y, and Z three-component data, and separate the P, X, Y, and Z four-component data; Preprocessing the separated four-component data to obtain preprocessed four-component data; Obtaining a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data; Calculate the correlation coefficients of the P component water detection and the rotated X, Y, and Z components land detection respectively; According to the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the rotated X, Y, Z components, a polarity analysis diagram of the rotated X, Y, Z components is formed; The rotation effect of the X, Y, Z three-component data after rotation is quality controlled based on the polarity analysis diagram of the X, Y, Z three-component data after rotation.

2. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 1, It is characterized in that According to the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the rotated X, Y, Z components, a polarity analysis diagram of the rotated X, Y, Z components is formed, including: The polarity of each component is determined based on the correlation coefficient between the P component water test and the rotated X, Y, and Z components land test: If the correlation coefficient is greater than or equal to the first preset value, it is determined that the P component is positively correlated with the corresponding component, and the polarity of the corresponding component is consistent with the polarity of the P component; If the correlation coefficient is less than or equal to the second preset value, it is determined that the P component is negatively correlated with the corresponding component, and the polarity of the corresponding component is opposite to that of the P component; If the correlation coefficient is greater than the second preset value and less than the first preset value, it is determined that the P component has no correlation with the corresponding component; A polarity analysis diagram of the corresponding component is formed according to the polarity of each component.

3. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 1, It is characterized in that The rotation effect of the X, Y, and Z components after rotation is controlled based on the polarity analysis diagram of the X, Y, and Z components after rotation, including: Traverse each node in the polarity analysis diagram of each component to determine whether the polarity of each node is consistent. If there is an abnormal polarity, it is determined that the corresponding component has an abnormal rotation angle.

4. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 1, It is characterized in that The separated four-component data is preprocessed to obtain preprocessed four-component data, including: The data of each component after separation are processed by limiting the offset distance to obtain the data of each component after limiting the offset; Linear correction is performed on each component data after the restricted offset processing to obtain the four-component data after linear correction.

5. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 4, It is characterized in that According to the P component data in the preprocessed four-component data, a comprehensive polarity analysis diagram of the P component is obtained, including: Reduce the offset according to the shot point coordinates and seabed node coordinates in the four-component data; Calculate the average amplitude value of the P component according to the P component data in the four-component data after line calibration; According to the physical characteristics of the P component and the average amplitude value of the P component corresponding to each node, a P component polarity analysis diagram of each node is formed; A comprehensive polarity analysis diagram of the P component is formed according to the polarity analysis diagrams of the P components of different nodes.

6. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 5, It is characterized in that Reduce the offset based on the shot point coordinates and seabed node coordinates in the four-component data, including: The shot point coordinates are calculated according to the following formula: S x -R x =(S x -R x ) / D l ×D s ; S y -R y =(S y -R y ) / D l ×D s ; Among them, S x is the X coordinate of the shot point, S y is the Y coordinate of the shot point, R x is the X coordinate of the seafloor node, R y is the Y coordinate of the seafloor node, D l is the preset offset distance, D s is the distance between the gunpoints.

7. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 5, It is characterized in that The average amplitude value of the P component is calculated based on the P component data in the four-component data after line calibration, including: The time window of the first arrival of the P component below the preset time is extracted using the seismic trace attributes; The average amplitude value of the P component in each time window is calculated based on the P component data.

8. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 5, It is characterized in that According to the physical characteristics of the P component and the average amplitude value of the P component corresponding to each node, a P component polarity analysis diagram of each node is formed, including: Determine whether the average amplitude value of each P component corresponding to the node is positive. If so, determine that the corresponding P component meets the physical characteristics of the P component negative jump positive polarity, and form a polarity analysis diagram of the first color; otherwise, determine that the corresponding P component does not meet the physical characteristics of the P component negative jump positive polarity, and form a polarity analysis diagram of the second color; According to the polarity analysis diagrams of all P components corresponding to the node, a polarity analysis diagram corresponding to the node is formed.

9. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 1, It is characterized in that The method further comprises: Obtain the original four-component data collected by the seabed nodes; The correlation coefficient between the P component water detection and the X, Y, and Z components land detection before rotation is calculated based on the original four-component data; Based on the polarity quality control diagram of the P component and the correlation coefficient between the water inspection of the P component and the land inspection of the X, Y, Z components before rotation, a polarity analysis diagram of the X, Y, Z components before rotation is formed; The rotation effect of the X, Y, Z three-component data before and after the rotation is quality controlled based on the polarity analysis diagram of the X, Y, Z three-component data before and after the rotation.

10. The method for multi-component rotation quality control of seabed nodes based on the cross-correlation principle according to claim 9, It is characterized in that The rotation effect of the X, Y, Z three-component data before and after rotation is quality controlled based on the polarity analysis diagram of the X, Y, Z three-component data before and after rotation, including: Compare the corresponding relationship between the polarity analysis diagram of the X, Y, and Z components of each seabed node before rotation and the polarity analysis diagram of the X, Y, and Z components after rotation to see if they are consistent. If there is any inconsistency, it is determined that the rotation angle of the corresponding node is abnormal.

11. A multi-component rotation quality control device for seabed nodes based on the cross-correlation principle. It is characterized in that The multi-component rotation quality control device for seabed nodes based on the cross-correlation principle comprises: The data acquisition unit is used to acquire the P component data collected by the seabed node and the rotated X, Y, and Z three-component data, and separate the P, X, Y, and Z four-component data; A data preprocessing unit, used for preprocessing the separated four-component data to obtain preprocessed four-component data; A P component polarity analysis diagram generating unit, used for obtaining a comprehensive polarity analysis diagram of the P component according to the P component data in the preprocessed four-component data; A correlation coefficient calculation unit, used to calculate the correlation coefficients of the P component water detection and the rotated X, Y, Z three-component land detection respectively; The X, Y, Z three-component polarity analysis diagram generating unit is used to form the polarity analysis diagram of the rotated X, Y, Z three-component according to the polarity analysis diagram of the P component and the correlation coefficient between the water detection of the P component and the land detection of the rotated X, Y, Z three-component; The quality control judgment unit is used to quality control the rotation effect of the X, Y, and Z three-component data after rotation according to the polarity analysis diagram of the X, Y, and Z three-component data.

12. An electronic device, It is characterized in that include: one or more processors; Memory; a module with multiple applications installed; And one or more programs, wherein the one or more programs are stored in the memory, and when the one or more programs are executed by the processor, the electronic device executes the multi-component rotation quality control method of the seabed node based on the cross-correlation principle as described in any one of claims 1-10.

13. A machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the multi-component rotation quality control method for seafloor nodes based on the cross-correlation principle as described in any one of claims 1 to 10.

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