Weighted ramp time window forming method, system and electronic device based on speed control

Abstract

The application provides a speed control-based weighted slope time window forming method, system and electronic equipment, which comprises the following steps: obtaining a cut-off parameter based on the apparent velocity of an original seismic record, and obtaining an effective signal cut-off time and a surface wave noise passing time according to the cut-off parameter; forming a weighted slope time window according to a weighted slope operator based on the effective signal in the effective signal cut-off time interval and the surface wave noise in the surface wave noise passing time interval; and suppressing the surface wave noise according to the weighted slope time window to obtain a seismic record after surface wave noise suppression. The technical scheme of the application has the beneficial effects that different surface wave slope time window ranges are designed according to the spatially changing speed characteristics of the original seismic record data, different weighted slope operators are designed according to the separability of the surface wave noise and the effective signal, the weighted slope time window is formed to suppress the surface wave noise, and the purpose of protecting the effective signal is achieved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of seismic exploration data processing methods, and more particularly to a velocity control-based weighted slope time window forming method, system and electronic device. BACKGROUND

[0002] In seismic data processing, surface waves are a common noise, which are composed of fundamental surface waves and high-order surface waves, and are usually characterized by low frequency, low velocity, aliasing, strong energy and the like. Influenced by complex surface and excitation factors, the spatial variation of such interference waves is large, so whether the surface waves can be effectively eliminated and suppressed directly affects subsequent migration imaging processing.

[0003] In the surface wave noise suppression process, a certain time window is usually designed to calculate or analyze the data in the time window, and finally the surface wave noise is inverted and subtracted from the original data. The design of the time window directly affects the effect of noise suppression. The concept of spatially variable time window has existed for a long time. Some scholars use spatially variable time window to constrain the first arrival picking and spectral analysis of seismic waves, but only use a certain time window length and give different threshold values. According to the principle of data similarity, a better result is obtained near the different threshold values. However, this method is often ineffective when the spatial variation of the data is large.

[0004] Therefore, it is expected to propose a velocity control-based weighted slope time window forming method to protect effective signals and suppress surface wave noise. SUMMARY

[0005] The application provides a velocity control-based weighted slope time window forming method, system and electronic device. Different surface wave slope time window ranges are designed according to the spatially variable velocity characteristics of the original seismic record data, and different weighted slope operators are designed according to the separability of surface wave noise and effective signals to form a weighted slope time window for suppressing surface wave noise and achieving the purpose of protecting effective signals.

[0006] To achieve the above purpose, the technical scheme of the application is as follows:

[0007] The application provides a velocity control-based weighted slope time window forming method, which comprises:

[0008] Step S1, obtaining a cut-off parameter based on the apparent velocity of the original seismic record, and obtaining an effective signal cutoff time and a surface wave noise passing time according to the cut-off parameter;

[0009] Step S2, based on the effective signal in the effective signal cutoff time interval and the surface wave noise in the surface wave noise passing time interval, forming a weighted slope time window according to a weighted slope operator;

[0010] Step S3, suppressing the surface wave noise according to the weighted ramp time window to obtain the surface wave noise suppressed seismic record.

[0011] Preferably, the cut-off parameters include: effective signal initial cut-off time, effective signal cut-off velocity, surface wave noise initial passing time and surface wave noise passing velocity.

[0012] Preferably, in the step S1, according to the linear motion principle, the effective signal cut-off time above the effective signal interval is obtained based on the effective signal initial cut-off time and the effective signal cut-off velocity by the following formula (1):

[0013] t cut =t0 cut +v cut ·offset (1);

[0014] Wherein, t cut is the effective signal cut-off time, t0 cut is the effective signal initial cut-off time, V cut is the effective signal cut-off velocity, and offset is offset distance.

[0015] And the surface wave noise passing time below the surface wave noise interval is obtained based on the surface wave noise initial passing time and the surface wave noise passing velocity by the following formula (2):

[0016] t pass =t0 pass +v pass ·offset (2);

[0017] Wherein, t pass is the surface wave noise passing time, t0 pass is the surface wave noise initial passing time, V pass is the surface wave noise passing velocity, and offset is offset distance.

[0018] Preferably, in the step S2, the weighted ramp time window is formed by the weighted ramp operator represented by the following formula (3):

[0019]

[0020] Wherein, w(x) is the weighted ramp time window, and x is the side length of the weighted ramp time window.

[0021] Preferably, in the step S3, the transition boundary of the effective signal interval and the surface wave noise interval is suppressed according to the weighted ramp time window.

[0022] The application further provides a velocity control based weighted ramp time window forming system for realizing the velocity control based weighted ramp time window forming method.

[0023] A parameter acquisition module is configured to acquire a cut-off parameter based on the apparent velocity of the original seismic record, and to acquire an effective signal cut-off time and a surface wave noise passing time according to the cut-off parameter;

[0024] A weighted ramp time window module is configured to form a weighted ramp time window according to a weighted ramp operator based on effective signals in the effective signal cut-off time interval and based on surface wave noises in the surface wave noise passing time interval;

[0025] A surface wave noise suppression module is configured to suppress the surface wave noises according to the weighted ramp time window to obtain a surface wave noise suppressed seismic record.

[0026] Preferably, the parameter acquisition module comprises:

[0027] A first acquisition unit is configured to acquire a cut-off parameter based on the apparent velocity of the original seismic record, the cut-off parameter comprising an effective signal initial cut-off time, an effective signal cut-off velocity, a surface wave noise initial passing time and a surface wave noise passing velocity;

[0028] A second acquisition unit is configured to acquire the effective signal cut-off time according to the following formula based on the effective signal initial cut-off time and the effective signal cut-off velocity:

[0029] t cut =t0 cut +v cut ·offset;

[0030] The effective signal cut-off time is above an effective signal interval;

[0031] wherein t cut is the effective signal cut-off time, t0 cut is the effective signal initial cut-off time, V cut is the effective signal cut-off velocity, and offset is offset distance;

[0032] A third acquisition unit is configured to acquire the surface wave noise passing time according to the following formula based on the surface wave noise initial passing time and the surface wave noise passing velocity:

[0033] t pass =t0 pass +vpass • offset;

[0034] The surface wave noise passing time is below the surface wave noise interval;

[0035] Wherein, t pass is the surface wave noise passing time, t0 pass is the initial surface wave noise passing time, V pass is the surface wave noise passing velocity, and offset is offset distance.

[0036] Preferably, the weighting ramp time window module forms the weighting ramp time window through a weighting ramp operator represented by the following formula:

[0037]

[0038] Wherein, w(x) is the weighting ramp time window, and x is the side length of the weighting ramp time window.

[0039] Preferably, the surface wave noise suppression module is used to perform surface wave noise suppression on the transition boundary between the effective signal interval and the surface wave noise interval according to the weighting ramp time window.

[0040] The present application also provides an electronic device, which comprises:

[0041] at least one processor; and

[0042] a memory connected with the at least one processor in communication, wherein

[0043] the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above-mentioned velocity control-based weighting ramp time window forming method.

[0044] The technical scheme of the present application has the following beneficial effects:

[0045] Different surface wave ramp time window ranges are designed according to the spatially varying velocity characteristics of the original seismic record data, and different weighting ramp operators are designed according to the separability of the surface wave noise and the effective signal, so as to form a weighting ramp time window for suppressing the surface wave noise to achieve the purpose of protecting the effective signal. The surface wave noise interference in the single shot collected in the exploration area has very good application effect. BRIEF DESCRIPTION OF DRAWINGS

[0046] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which like reference characters refer to like parts throughout the several views, and wherein the exemplary embodiments of the present application are shown and described.

[0047] Figure 1 A flow chart of a weighted ramp time window forming method based on speed control according to the present application;

[0048] Figure 2 A structural schematic diagram of a weighted ramp time window forming system based on speed control according to the present application;

[0049] Figure 3 A seismic record before surface wave noise suppression by a weighted ramp time window forming method based on speed control according to the present application;

[0050] Figure 4 A seismic record after surface wave noise suppression by a weighted ramp time window forming method based on speed control according to the present application.

[0051] Explanation of reference signs:

[0052] 1, parameter acquisition module; 2, weighted ramp time window module; 3, surface wave noise suppression module; 11, first acquisition unit; 12, second acquisition unit; 13, third acquisition unit. DETAILED DESCRIPTION

[0053] The preferred embodiments of the present application will be described in more detail below. Although the preferred embodiments of the present application are described below, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present application can be more thoroughly and completely conveyed to those skilled in the art.

[0054] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0055] The present application will be further described below in conjunction with the drawings and specific embodiments, but not as a limitation of the present application.

[0056] Reference Figure 1 As shown in the drawings, the present application provides a weighted ramp time window forming method based on speed control, comprising:

[0057] Step S1, obtaining a cut-off parameter based on the apparent velocity of the original seismic record, and obtaining an effective signal cutoff time t cut and a surface wave noise passing time t pass ;

[0058] Step S2, based on the effective signal within the effective signal cutoff time t cut interval and the surface wave noise within the surface wave noise passing time t pass interval, a weighted ramp operator is used to form a weighted ramp time window;

[0059] Step S3: Suppress surface wave noise based on the weighted slope time window to obtain the seismic record after surface wave noise suppression.

[0060] Specifically, in seismic data processing, cutoff parameters are obtained based on the spatially varying velocity characteristics (apparent velocity characteristics) of the original seismic records, and the effective signal cutoff time t is obtained based on the cutoff parameters. cut Parameters and surface wave noise transit time t pass Parameters are used to design different surface wave time window ranges. Then, based on the separability of surface wave noise and effective signal, different weighted slope operators are designed to form weighted slope time windows. The original seismic records within the weighted slope time windows are calculated or analyzed. The surface wave noise is then inverted and subtracted from the original seismic records, thereby protecting the effective signal and suppressing surface wave noise.

[0061] In a preferred example, the cutoff parameters include: the initial cutoff time t0 of the valid signal. cut Effective signal cutoff speed V cut Surface wave noise initial transit time t0 pass The surface wave noise passes through the velocity V pass .

[0062] Specifically, four cutoff parameters are obtained based on the spatially varying velocity characteristics of the original seismic records, namely the initial cutoff time t0 of the effective signal. cut Effective signal cutoff speed V cut Surface wave noise initial transit time t0 pass The surface wave noise passes through the velocity V pass The effective signal cutoff time parameter t of the cutoff function is obtained through these four cutoff parameters. cut Surface wave noise passes through the time parameter t pass .

[0063] In a preferred example, in step S1, based on the principle of linear dynamics, and based on the initial cutoff time t0 of the effective signal... cut and effective signal cutoff speed V cut The effective signal cutoff time t is obtained by the following formula (1). cut Valid signal cutoff time t cut The above is the valid signal range:

[0064] t cut =t0 cut +v cut • offset (1);

[0065] Among them, t cut The effective signal cutoff time, t0 cut V is the initial cutoff time of the valid signal.cut offset is offset distance;

[0066] and the surface wave noise initial passing time t0 pass and the surface wave noise passing velocity V pass The surface wave noise passing time t is obtained by the following formula (2) pass The surface wave noise passing time t pass The surface wave noise interval is as follows:

[0067] t pass = t0 pass + v pass · offset (2);

[0068] wherein t pass is the surface wave noise passing time, t0 pass is the surface wave noise initial passing time, V pass is the surface wave noise passing velocity, and offset is offset distance.

[0069] Specifically, V cut is the effective signal cutoff velocity, and V pass is the surface wave noise signal passing velocity. For a certain trace of a certain offset distance offset, according to the linear motion principle, the effective signal cutoff time parameter t cut and the surface wave noise passing time parameter t pass of the cut-off function can be defined by formula (1) and formula (2) respectively, the effective signal in the interval before t cut remains unchanged, and the surface wave signal in the interval after t pass is suppressed.

[0070] In a preferred example, in step S2, the weighted ramp operator represented by the following formula (3) is used to form the weighted ramp window:

[0071]

[0072] wherein w(x) is the weighted ramp window, and x is the side length of the weighted ramp window.

[0073] Specifically, according to the weighted ramp operator to form the weighted ramp window, the weighted ramp operator is the window function, w(x) defines the window function between the effective signal cutoff time t cut and the surface wave noise passing time t pass , and the physical meaning is the radian of the sampling point, and x is the side length of the window function. The weighted ramp operator can be defined as linear, cosine or square of cosine.

[0074] In a preferred example, in step S3, the transition boundary between the effective signal interval and the surface wave noise interval is subjected to surface wave noise suppression according to a weighted ramp time window.

[0075] Specifically, according to formula (3), in the surface wave suppression process, the transition boundary between the effective signal interval and the surface wave noise interval is subjected to a weighted ramp time window, which maximally protects the effective signal.

[0076] Further, the weighted ramp time window is applied to the surface wave noise suppression of single-shot data collected in the field of a certain exploration area, Figure 1 is the seismic record before surface wave noise suppression, Figure 2 is the seismic record after surface wave noise suppression in the method of the present application, and it can be seen that the effective signal of the seismic record after suppression has been revealed, which confirms the effectiveness of the method of the present application.

[0077] Referring to Figure 2 The present application also provides a weighted ramp time window forming system based on speed control, which realizes the above-mentioned weighted ramp time window forming method based on speed control, and comprises:

[0078] A parameter acquisition module 1, which is used to acquire a cut-off parameter based on the apparent velocity of the original seismic record, and to acquire an effective signal cut-off time and a surface wave noise passing time according to the cut-off parameter;

[0079] A weighted ramp time window module 2, which is used to form a weighted ramp time window according to a weighted ramp operator based on the effective signal in the effective signal cut-off time interval and the surface wave noise in the surface wave noise passing time interval;

[0080] A surface wave noise suppression module 3, which is used to suppress the surface wave noise according to the weighted ramp time window to obtain a seismic record after surface wave noise suppression.

[0081] In a preferred example, the parameter acquisition module 1 comprises:

[0082] A first acquisition unit 11, which is used to acquire a cut-off parameter based on the apparent velocity of the original seismic record, the cut-off parameter comprising: an effective signal initial cut-off time, an effective signal cut-off velocity, a surface wave noise initial passing time and a surface wave noise passing velocity;

[0083] A second acquisition unit 12, which is used to acquire an effective signal cut-off time according to the following formula based on the effective signal initial cut-off time and the effective signal cut-off velocity:

[0084] t cut = t0 cut + v cut · offset (1);

[0085] effective signal cutoff time t cut The above is the effective signal interval;

[0086] wherein t cut is the effective signal cutoff time, t0 cut is the effective signal initial cutoff time, V cut is the effective signal cutoff speed, and offset is the offset distance;

[0087] The third acquisition unit 13 is configured to acquire the surface wave noise passing time based on the surface wave noise initial passing time and the surface wave noise passing speed through the following formula:

[0088] t pass = t0 pass + v pass · offset (2);

[0089] The surface wave noise passing time is the surface wave noise interval as follows:

[0090] wherein t pass is the surface wave noise passing time, t0 pass is the surface wave noise initial passing time, V pass is the surface wave noise passing speed, and offset is the offset distance.

[0091] In a preferred example, the weighted ramp time window module 2 forms the weighted ramp time window through a weighted ramp operator represented by the following formula:

[0092]

[0093] wherein w(x) is the weighted ramp time window, and x is the side length of the weighted ramp time window.

[0094] In a preferred example, the surface wave noise suppression module 3 is configured to perform surface wave noise suppression on the transition boundary between the effective signal interval and the surface wave noise interval according to the weighted ramp time window.

[0095] Specifically, in order to verify the technical effectiveness of the weighted ramp time window forming method based on speed control in the present application, the parameter acquisition module 1 is configured to acquire the cut-off parameters, i.e., the effective signal initial cutoff time t0 cut , the effective signal cutoff speed V cut , the surface wave noise initial passing time t0 pass , and the surface wave noise passing speed V pass , based on the apparent velocity of the original seismic record, and to acquire the effective signal cutoff time t cut and the surface wave noise passing time t passThe weighted ramp time window module 2 is configured to form a weighted ramp time window based on the effective signal cutoff time t cut and the surface wave noise passing time t pass The weighted ramp operator expressed by formula (3) is used to form a weighted ramp time window; the surface wave noise suppression module 3 is configured to suppress the surface wave noise based on the weighted ramp time window, so as to obtain a seismic record after surface wave noise suppression. The surface wave noise suppression is performed on single-shot data collected in the field of a certain exploration area, Figure 1 is a seismic record before surface wave noise suppression, Figure 2 is a seismic record after surface wave noise suppression in the method of the present application, and it can be seen that the effective signals of the seismic record after suppression have been exposed, which proves the effectiveness of the method of the present application.

[0096] The present application also provides an electronic device, which comprises:

[0097] at least one processor; and

[0098] a memory in communication connection with the at least one processor, wherein

[0099] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the above-mentioned weighted ramp time window forming method based on speed control.

[0100] Specifically, in order to verify the technical effectiveness of the weighted ramp time window forming method based on speed control in the present application, the at least one processor executes executable instructions in the memory to perform the following steps:

[0101] Step S1, obtaining cut-off parameters based on the apparent velocity of the original seismic record, and obtaining an effective signal cutoff time t cut and a surface wave noise passing time t pass ;

[0102] Step S2, forming a weighted ramp time window according to a weighted ramp operator based on the effective signal in the effective signal cutoff time t cut interval and the surface wave noise in the surface wave noise passing time t pass interval;

[0103] Step S3, suppressing the surface wave noise according to the weighted ramp time window, so as to obtain a seismic record after surface wave noise suppression.

[0104] In the process of suppressing the surface wave noise by the processor, for the given four cut-off parameters, an effective signal initial cutoff time t0 cut , an effective signal cutoff velocity V cut , a surface wave noise initial passing time t0 pass , and a surface wave noise passing velocity Vpass The effective signal cutoff time is obtained through formula (1), and the interval above the effective signal cutoff time is the effective signal interval.

[0105] t cut =t0 cut +v cut • offset (1);

[0106] Furthermore, the surface wave noise transit time is obtained using the following formula (2), where the surface wave noise transit time is within the following range:

[0107] t pass =t0 pass +v pass • offset (2);

[0108] The weighted slope time window is formed by the weighted slope operator expressed by the following formula (3):

[0109]

[0110] Meanwhile, according to formula (3), a weighted ramp time window is used at the transition boundary between the effective signal interval and the surface wave noise interval to suppress surface wave noise in the single-shot data collected in the field of a certain exploration area. Figure 1 This is the seismic record before surface wave noise suppression. Figure 2 The images show seismic records after surface wave noise suppression using the method described in this invention. As can be seen, the effective signals of the suppressed seismic records have been revealed, confirming the effectiveness of the method described in this invention.

[0111] Example 1

[0112] Reference Figure 1 As shown, the present invention provides a method for forming a weighted ramp time window based on speed control, comprising:

[0113] Step S1: Obtain the cutoff parameters based on the apparent velocity of the original seismic record, and obtain the effective signal cutoff time t based on the cutoff parameters. cut Surface wave noise transit time t pass ;

[0114] Step S2, based on the effective signal cutoff time t cut The effective signal within the interval and the transit time t based on the surface wave noise pass Surface wave noise within the interval is used to form a weighted slope time window based on the weighted slope operator;

[0115] Step S3: Suppress surface wave noise based on the weighted slope time window to obtain the seismic record after surface wave noise suppression.

[0116] In this embodiment, the cutoff parameters include: the initial cutoff time t0 of the valid signal. cut Effective signal cutoff speed V cut Surface wave noise initial transit time t0 pass The surface wave noise passes through the velocity V pass .

[0117] In this embodiment, in step S1, based on the linear dynamic comparator principle, and based on the initial cutoff time t0 of the effective signal... cut and effective signal cutoff speed V cut The effective signal cutoff time t is obtained by the following formula (1). cut Valid signal cutoff time t cut The above is the valid signal range:

[0118] t cut =t0 cut +v cut • offset (1);

[0119] Among them, t cut The effective signal cutoff time, t0 cut V is the initial cutoff time of the valid signal. cut The effective signal cutoff speed is given by offset;

[0120] And, based on the initial transit time t0 of the surface wave noise pass The surface wave noise passes through the velocity V pass The surface wave noise passage time t is obtained by the following formula (2). pass Surface wave noise transit time t pass The following is the surface wave noise range:

[0121] t pass =t0 pass +v pass • offset (2);

[0122] Among them, t pass Let t0 be the transit time of the surface wave noise. pass V is the initial transit time of the surface wave noise. pass denoted as the velocity of the surface wave noise, and offset as the offset distance.

[0123] In a preferred example, in step S2, a weighted ramp time window is formed using the weighted ramp operator represented by the following formula (3):

[0124]

[0125] Where w(x) is the weighted ramp time window, and x is the side length of the weighted ramp time window.

[0126] In this embodiment, in step S3, surface wave noise is suppressed at the transition boundary between the effective signal range and the surface wave noise range according to the weighted ramp time window.

[0127] Example 2

[0128] Reference Figure 2 As shown, this embodiment provides a speed-controlled weighted ramp time window formation system to implement the above-mentioned speed-controlled weighted ramp time window formation method, including:

[0129] Parameter acquisition module 1 is used to acquire cut-off parameters based on the apparent velocity of the original seismic record, and to acquire the effective signal cutoff time and surface wave noise passage time based on the cut-off parameters;

[0130] Weighted ramp time window module 2 is used to form a weighted ramp time window based on the effective signal within the effective signal cutoff time interval and the surface wave noise within the surface wave noise passage time interval, according to the weighted ramp operator.

[0131] Surface wave noise suppression module 3 is used to suppress surface wave noise according to the weighted slope time window to obtain the seismic record after surface wave noise suppression.

[0132] In this embodiment, the parameter acquisition module 1 includes:

[0133] The first acquisition unit 11 is used to acquire cut-off parameters based on the apparent velocity of the original seismic record. The cut-off parameters include: effective signal initial cut-off time, effective signal cut-off velocity, surface wave noise initial passage time, and surface wave noise passage velocity.

[0134] The second acquisition unit 12 is used to acquire the effective signal cutoff time based on the initial cutoff time and the effective signal cutoff speed using the following formula:

[0135] t cut =t0 cut +v cut • offset;

[0136] Effective signal cutoff time t cut The above is the valid signal range;

[0137] Among them, t cut The effective signal cutoff time, t0 cut V is the initial cutoff time of the valid signal. cut The effective signal cutoff speed is given by offset;

[0138] The third acquisition unit 13 is used to obtain the surface wave noise passage time based on the initial passage time and the passage velocity of the surface wave noise using the following formula:

[0139] t pass =t0 pass +v pass • offset;

[0140] The area below the surface wave noise transit time is the surface wave noise range;

[0141] Among them, t pass Let t0 be the transit time of the surface wave noise. pass V is the initial transit time of the surface wave noise. pass denoted as the velocity of the surface wave noise, and offset as the offset distance.

[0142] In this embodiment, the weighted ramp time window module 2 forms a weighted ramp time window using a weighted ramp operator expressed by the following formula:

[0143]

[0144] Where w(x) is the weighted ramp time window, and x is the side length of the weighted ramp time window.

[0145] In this embodiment, the surface wave noise suppression module 3 is used to suppress surface wave noise at the transition boundary between the effective signal range and the surface wave noise range according to the weighted ramp time window.

[0146] In summary, this invention designs different surface wave slope time window ranges based on the spatially varying velocity characteristics of the original seismic record data, and designs different weighted slope operators based on the separability of surface wave noise and effective signal to form a weighted slope time window to suppress surface wave noise and protect the effective signal.

[0147] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A velocity control based weighted-ramp time window forming method, characterized in that, The method comprises: In step S1, cut-off parameters are obtained based on apparent velocities of original seismic records, and effective signal cut-off time and surface wave noise passing time are obtained according to the cut-off parameters; The cut-off parameters comprise: effective signal initial cut-off time, effective signal cut-off velocity, surface wave noise initial passing time and surface wave noise passing velocity; According to the linear motion principle, the effective signal cut-off time is obtained based on the effective signal initial cut-off time and the effective signal cut-off velocity by the following formula (1), and the effective signal cut-off time is the effective signal interval: （1）； wherein, is the effective signal cut-off time, is the effective signal initial cut-off time, is the effective signal cut-off speed, is the offset distance; And the surface wave noise passing time is obtained based on the surface wave noise initial passing time and the surface wave noise passing velocity by the following formula (2), and the surface wave noise passing time is the surface wave noise interval: （2）； wherein, is the surface wave noise transit time, is the surface wave noise initial transit time, is the surface wave noise transit velocity, is the offset distance; In step S2, a weighted ramp time window is formed according to a weighted ramp operator based on effective signals in the effective signal cut-off time interval and based on surface wave noises in the surface wave noise passing time interval; The weighted ramp operator is represented by the following formula (3) to form the weighted ramp time window: （3）； wherein, is the weighted ramp time window, is the side length of the weighted ramp time window; In step S3, the surface wave noises are suppressed according to the weighted ramp time window to obtain seismic records after surface wave noise suppression.

2. The velocity control based weighted ramp time window formation method of claim 1, wherein, In the step S3, the transition boundary of the effective signal interval and the surface wave noise interval is subjected to surface wave noise suppression according to the weighted ramp time window.

3. A velocity control based weighted ramp time window forming system implementing the velocity control based weighted ramp time window forming method of any one of claims 1-2, characterized in that, The method comprises: A parameter obtaining module is configured to obtain cut-off parameters based on apparent velocities of original seismic records, and obtain effective signal cut-off time and surface wave noise passing time according to the cut-off parameters; A weighted ramp time window module is configured to form a weighted ramp time window according to a weighted ramp operator based on effective signals in the effective signal cut-off time interval and based on surface wave noises in the surface wave noise passing time interval; A surface wave noise suppression module is configured to suppress the surface wave noises according to the weighted ramp time window to obtain seismic records after surface wave noise suppression; The parameter obtaining module comprises: A first obtaining unit is configured to obtain cut-off parameters based on apparent velocities of original seismic records, and the cut-off parameters comprise: effective signal initial cut-off time, effective signal cut-off velocity, surface wave noise initial passing time and surface wave noise passing velocity; A second obtaining unit is configured to obtain the effective signal cut-off time based on the effective signal initial cut-off time and the effective signal cut-off velocity by the following formula: ； The effective signal cut-off time is the effective signal interval; wherein, is the effective signal cut-off time, is the effective signal initial cut-off time, is the effective signal cut-off speed, is the offset distance; A third obtaining unit is configured to obtain the surface wave noise passing time based on the surface wave noise initial passing time and the surface wave noise passing velocity by the following formula: ； The surface wave noise passing time is the surface wave noise interval; wherein, is the surface wave noise transit time, is the surface wave noise initial transit time, is the surface wave noise transit velocity, is the offset distance; The weighted ramp time window module forms the weighted ramp time window by a weighted ramp operator represented by the following formula: ； wherein, is the weighted ramp time window, is the side length of the weighted ramp time window.

4. The velocity control based weighted ramp time window forming system of claim 3, wherein, The surface wave noise suppression module is configured to perform surface wave noise suppression on the transition boundary of the effective signal interval and the surface wave noise interval according to the weighted ramp time window.

5. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected to the at least one processor in communication, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the speed control-based weighted ramp time window forming method of any one of claims 1-2.

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