Geophysical model data high-energy signal suppression method and device

Abstract

The invention provides a high-energy signal suppression method and device for geophysical model data. According to the technical scheme, abnormal high energy suppression is carried out by utilizing a technical means of a smooth function, and shot gather data (or common midpoint gather data) are subjected to dynamic correction to level an event; secondly, on the basis of the leveled event, sampling points at the same moment are extracted to serve as a two-dimensional linear function, and smoothing processing is conducted through a smoothing function (median filtering and the like); and after the processed energy is relatively consistent to suppress a high-energy signal, carrying out reaction correction to obtain a shot gather (or a common midpoint gather). The objective of the invention is to more accurately suppress physical model data high-energy signals, so that the physical model data high-energy signals have a good effect in migration imaging.

Description

Technical Field

[0001] The present invention relates to the technical field of seismic signal processing, and more particularly, to a method and apparatus for suppressing high-energy signals in geophysical model data. Background Art

[0002] During the acquisition process of physical model data, the distance between two probes is sometimes very close to each other, which will result in a large energy in the near trace. Therefore, it is necessary to suppress these excessive energies in order to obtain relatively good results in the subsequent processing and imaging process.

[0003] Suppressing abnormal energy in physical model data is a necessary process in processing. Effective processing is beneficial to reducing the arc phenomenon during migration imaging, improving imaging quality, and reducing arc noise. However, existing abnormal energy suppression technologies usually adopt spectral energy editing methods to inversely gain abnormal energy to the energy of other far-offset parts or certain desired regions. Another common method is to remove it as abnormal noise. However, for physical model data, this high energy in the near trace is caused by the instrument. It is not noise, but a signal with high energy and also an effective wave.

[0004] Therefore, there is an urgent need in the industry for a high-energy signal suppression method that can suppress high-energy signals without damaging effective signals. Summary of the Invention

[0005] In view of this, the present invention discloses a method for suppressing high-energy signals in geophysical exploration data, which can effectively suppress high-energy signals.

[0006] According to one aspect of the present invention, there is provided a method for suppressing high-energy signals in geophysical model data, the method comprising:

[0007] Step 1, analyzing geophysical exploration data to identify abnormal energy bands containing abnormal energy in shot records;

[0008] Step 2, performing dynamic correction processing on the abnormal energy bands to flatten the event axis of the shot records;

[0009] Step 3, for each gather in the abnormal energy band after dynamic correction, smoothing and filtering the sampled data of each gather at each moment to complete the suppression of abnormal energy noise for all gathers;

[0010] Step 4, performing inverse dynamic correction on the shot record after suppressing abnormal energy noise to obtain the shot record after suppressing abnormal energy.

[0011] In some embodiments, the abnormal energy band is a vertical strip.

[0012] In some embodiments, in Step 3, smoothing and filtering the sampled data of each gather at each moment specifically includes:

[0013] Randomize the sampling data of the trace gather at this moment to obtain a new sequence;

[0014] Filter the new sequence using a mathematical filtering method;

[0015] Then restore the filtered data to its original order.

[0016] In some embodiments, randomizing the sampling data of the trace gather at this moment includes:

[0017] Extract the sampling data at a set odd distance interval to reorder the sampling data of the trace gather.

[0018] In some embodiments, the mathematical filtering method is one-dimensional mean filtering or median filtering.

[0019] According to another aspect of the present invention, a high-energy signal suppression device for geophysical model data is provided. The device includes:

[0020] An abnormal energy band identification unit for analyzing geophysical exploration data to identify abnormal energy bands containing abnormal energy in the shot records;

[0021] A normal moveout correction unit for performing normal moveout correction processing on the abnormal energy bands to flatten the event axis of the shot records;

[0022] A smoothing filter unit for performing smoothing filtering on the sampling data of each trace gather at each moment in the abnormal energy bands after normal moveout correction to complete the suppression of abnormal energy noise for all trace gathers;

[0023] An inverse normal moveout correction unit for performing inverse normal moveout correction on the shot records after abnormal energy noise suppression to obtain the shot records with abnormal energy suppressed.

[0024] In some embodiments, the abnormal energy bands are vertical strips.

[0025] In some embodiments, in the smoothing filter unit, performing smoothing filtering on the sampling data of each trace gather at each moment specifically includes:

[0026] Randomize the sampling data of the trace gather at this moment to obtain a new sequence;

[0027] Filter the new sequence using a mathematical filtering method;

[0028] Then restore the filtered data to its original order.

[0029] In some embodiments, randomizing the sampling data of the trace gather at this moment includes:

[0030] Extract sampling data at set odd intervals to reorder the sampling data of the gather.

[0031] In some embodiments, the mathematical filtering method is one-dimensional mean filtering or median filtering.

[0032] According to another aspect of the present invention, an electronic device is also provided. The electronic device includes:

[0033] A memory storing executable instructions;

[0034] A processor that runs the executable instructions in the memory to implement the high-energy signal suppression method for geophysical model data described above.

[0035] According to another aspect of the present invention, a computer-readable storage medium is also provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the high-energy signal suppression method for geophysical model data described above.

[0036] The present invention introduces a high-energy signal suppression scheme for geophysical model data. This technical solution uses the technical means of a smoothing function to suppress abnormally high energy. First, the shot gather data (or common midpoint gather data) is flattened along the event axis through normal moveout correction; then, based on the flattened event axis, the sample points at the same moment are extracted as a two-dimensional linear function and smoothed using a smoothing function (such as median filtering); after the processed energy is relatively consistent and the high-energy signals are suppressed, reverse normal moveout correction is performed to obtain the shot gather (or common midpoint gather). The purpose of the present invention is to more accurately suppress the high-energy signals in the physical model data, so as to obtain good results in migration imaging. The following details the beneficial effects of this technical solution.

[0037] I. Suppress high-energy signals

[0038] By using the method of a smoothing function, abnormally high energy is suppressed, so that the signal energy is relatively consistent and the influence of high-energy signals is reduced.

[0039] II. Improve imaging quality

[0040] By accurately suppressing the physical model data, the arc phenomenon during migration imaging can be reduced, and the imaging quality can be improved.

[0041] III. Reduce arc noise

[0042] By effectively processing abnormal energy, arc noise can be reduced, and the signal-to-noise ratio of seismic signals can be improved.

[0043] IV. Signal homogenization

[0044] By suppressing high-energy signals, signal uniformity can be achieved, thereby improving the accuracy of seismic signals.

[0045] V. Simple processing flow

[0046] This solution has a simple processing flow and is easy to implement, and can be widely applied to the processing of geophysical model data.

[0047] The methods and apparatuses of the present invention have other characteristics and advantages, which will be apparent in the accompanying drawings and the subsequent detailed description incorporated herein, or will be described in detail in the accompanying drawings and the subsequent detailed description incorporated herein. These accompanying drawings and detailed description are used together to explain the specific principles of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] By describing the exemplary embodiments of the present invention in more detail in conjunction with the accompanying drawings, the above and other objects, features, and advantages of the present invention will become more apparent. Among them, in the exemplary embodiments of the present invention, the same reference numerals generally represent the same components.

[0049] Figure 1 The flowchart of a method for suppressing high-energy signals of geophysical model data according to an embodiment of the present invention is shown.

[0050] Figure 2 The schematic diagram of a gather containing abnormal energy is shown.

[0051] Figure 3 The schematic diagram after time difference correction of a gather containing abnormal energy according to an embodiment of the present invention is shown.

[0052] Figure 4 The schematic diagram of a gather after completing the suppression of abnormal energy according to an embodiment of the present invention is shown.

[0053] Figure 5 The schematic diagram of a shot record after reverse correction according to an embodiment of the present invention is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] The preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0055] Here, the technical idea of the present invention is further explained.

[0056] When the transducers are very close during the physical model acquisition process, the energy at the receiving end will be very large and inconsistent with the entire shot record. This energy imbalance will cause serious arcing during the final offset imaging, increase the background noise of the profile, and reduce the imaging quality of the profile. Therefore, effectively suppressing and reducing its high energy can significantly improve the effect of the imaging profile, which is beneficial to the subsequent interpretation inversion and wave field analysis work, and can better reflect the role of physical models in seismic exploration.

[0057] Example 1

[0058] Figure 1 The flowchart of the method for suppressing high-energy signals of geophysical model data according to an embodiment of the present invention is shown. As shown in the figure, the method includes steps 1 to 4.

[0059] Step 1: Analyze the geophysical exploration data to identify abnormal energy bands containing abnormal energy in the shot records.

[0060] First, the collected physical model data is analyzed and screened to select the arrangement and traces containing abnormal energy, which often occur in the near-source trace or the arrangement line near the source. The shot record targeted in the present invention can be shot gather data or common center point gather data.

[0061] In some embodiments, the abnormal energy band is a vertical strip.

[0062] As mentioned above, since the suppression targets aimed at by the inventors, including the arrangement and traces of abnormal energy, mostly appear in the near-source traces or arrangement lines of near-sources in the shot records, the abnormal energy bands identified according to the present invention are often vertical strips. Selecting objects with vertical strip-like characteristics in regional distribution as processing targets allows more accurate selection of the target range of abnormal high-energy signals that need to be suppressed, and more quickly and effectively processing the target area to save time and computing resources, laying the foundation for subsequent suppression of abnormal signals and obtaining better imaging effects.

[0063] Step 2: Perform dynamic correction on the abnormal energy band to flatten the event axis recorded by the gun.

[0064] After selecting the abnormal energy band, the next step is to perform dynamic correction processing to flatten the event axis recorded by the gun. Because the data collected by the physical model has a high signal-to-noise ratio and there is no static correction problem, most of the event axes are in the form of hyperbolas before dynamic correction, and dynamic correction can be used to flatten the event axis.

[0065] The term "dynamic correction" is translated from the English "Normal Moveout", and is also translated as "normal moveout correction". For a shot record gather, the work done by dynamic correction is as follows: for the amplitude values of the specified offset and reflection travel time (x, t), they are corrected to the reflection travel time t0 of vertical incidence according to the dynamic correction formula. The dynamic correction formula (Formula 1) is:

[0066]

[0067] where x represents the shot-receiver offset, and v nMO represents the overlying wave velocity on the reflection interface.

[0068] Obviously, for a specified (x, t0) in the NMO gather, the corresponding reflection travel time t in the shot record gather can be calculated using the following formula (Formula 2):

[0069]

[0070] In one example, dynamic correction can be implemented by the following steps:

[0071] (1) First, use a two-dimensional matrix as the gather after NMO, and assign all elements of the matrix to 0. It should be noted that the reflection travel time of the gather after NMO is t0;

[0072] (2) At (x, t0) in the NMO gather, calculate the corresponding t for each trace in the shot record using Formula (2);

[0073] (3) Take the amplitude value at the reflection travel time t as the amplitude value at (x, t0) in the NMO gather;

[0074] (4) Repeat steps (2 - 3) in a loop to perform dynamic correction on each trace in the gather.

[0075] After dynamic correction processing, the multiple in-phase axes in the shot record are in a horizontal state, thus providing conditions for subsequent abnormal energy suppression.

[0076] Step 3: For each gather in the abnormal energy band after dynamic correction, perform smoothing filtering on the sampled data of each gather at each time instant to complete the suppression of abnormal energy noise for all gathers.

[0077] In some embodiments, performing smoothing filtering on the sampled data of each gather at each time instant specifically includes:

[0078] Shuffle the order of the sampled data of the gather at this time instant to obtain a new sequence;

[0079] Use a mathematical filtering method to filter the new sequence;

[0080] Then restore the filtered data to its original order.

[0081] By shuffling the sequence order and then performing filtering, the concentrated abnormal energy can be dispersed, resulting in a better filtering effect.

[0082] In some embodiments, shuffling the sampling data of the trace gather at this moment includes:

[0083] Sampling data is extracted at set odd distances to reorder the sampling data of the trace gather.

[0084] After in-depth thinking and research, the inventor chose to extract sampling data at set odd distances, which has the following beneficial effects:

[0085] (1) Scrambling and dispersing the abnormal energy signal facilitates subsequent filtering and suppression.

[0086] There is an aggregation of abnormal energy signals. If sampled in order, the aggregation area cannot be effectively filtered. After shuffling, the signals in the aggregation area can be dispersed, facilitating smoothing.

[0087] (2) Ensuring that the sampling interval is close to the original interval.

[0088] If sampling is performed at a fixed interval (such as every 2), the interval may not be close to the original interval. However, an odd interval allows the sampling interval in the new sequence to be close to the original sequence.

[0089] (3) Ensuring the randomness of the sampling sequence.

[0090] A random odd sequence has stronger randomness compared to a fixed sequence, and the new sequence will not exhibit periodicity, which is also why it is beneficial for signal dispersion.

[0091] (4) Facilitating the restoration of the original sequence.

[0092] The randomly selected odd sequence can ensure that each original point in the new sequence is sampled at most once, so that the original sequence can be restored by means such as interpolation.

[0093] Therefore, after comprehensively considering various factors such as signal dispersion, maintaining sampling statistical characteristics, and subsequent restoration of the original sequence, sampling at odd distances in this embodiment can obtain the optimal processing effect.

[0094] In some embodiments, the mathematical filtering method is one-dimensional mean filtering or median filtering.

[0095] Mean filtering is a non-linear signal processing technique. Its core idea is to replace the value of each pixel with the average value of the pixel values in its neighborhood to achieve this. The following is the process of one-dimensional mean filtering according to an example:

[0096] A window can be defined first. The window size can be adjusted according to needs. Usually, the window is moved, and the average value of all pixels in the window is calculated.

[0097] For each pixel, its value is replaced with the average value of all pixel values in the window.

[0098] Move the window to the next pixel and repeat the above steps until all pixels are processed.

[0099] When using one-dimensional mean filtering, the window size can be carefully selected and appropriately adjusted according to the requirements of specific applications.

[0100] Median filtering is also a non-linear signal processing technique. The process of median filtering can be summarized as the following steps:

[0101] Determine the area that needs to be subjected to median filtering according to actual needs.

[0102] Obtain the data that needs to be filtered from the data source.

[0103] Sort the data within the target area according to size.

[0104] Select the middle value from the sorted data as the median.

[0105] Perform median filtering on the data within the target area, that is, replace each data value with the median.

[0106] The present invention first applies the smoothing filtering technology to the field of suppressing abnormal energy in physical model data. An example is given to exemplarily illustrate the above embodiments. For the sampled data of a trace gather at each moment, shuffle its order. For example, if a trace gather has 100 traces of data, then there are 100 sampled values at this moment. Suppose the set odd distance is 5 (it can also be 3, 7, etc.), then one value can be taken every 5, so that the original sequence of the number sequence (1, 2, 3,..., 97, 98, 99, 100) becomes (1, 6, 11,..., 91, 96, 2, 7, 12,..., 92, 97,..., 5, 10, 15,..., 90, 95, 100). Then apply a mathematical filtering method, such as one-dimensional mean filtering, median filtering, etc., to smooth the abnormal energy area. Finally, restore the shuffled values to the original regular data, thus completing the processing of one trace gather at one moment. The same suppression process is cyclically carried out for each moment in turn to complete the processing of the entire trace gather. Furthermore, the above operations are performed for all trace gathers to complete the suppression of abnormal energy noise for all trace gathers.

[0107] Step 4: Perform reverse movement correction on the shot record after suppressing abnormal energy noise to obtain the shot record after suppressing abnormal energy.

[0108] Finally, a reverse correction process can be performed on the shot records after suppression to restore the in-phase axis in the original hyperbolic form, serving for subsequent fine velocity picking and migration imaging.

[0109] This embodiment introduces a high-energy signal suppression scheme for geophysical model data. This technical solution uses the technical means of a smoothing function to suppress abnormally high energy. First, the shot gather data (or common midpoint gather data) is flattened by normal moveout correction; then, based on the flattened in-phase axis, the sample points at the same moment are extracted as a two-dimensional linear function, and smoothing processing is performed using a smoothing function (such as median filtering, etc.); after the processed energy is relatively consistent and the high-energy signals are suppressed, reverse correction is performed to obtain the shot gather (or common midpoint gather). The purpose of the present invention is to more accurately suppress the high-energy signals in the physical model data, so as to obtain good results in migration imaging.

[0110] Example 2

[0111] According to an embodiment of the present invention, a high-energy signal suppression device for geophysical model data is proposed. The device includes:

[0112] An abnormal energy band identification unit, configured to analyze geophysical exploration data and identify abnormal energy bands containing abnormal energy in the shot records;

[0113] A normal moveout correction unit, configured to perform normal moveout correction processing on the abnormal energy bands to flatten the in-phase axis of the shot records;

[0114] A smoothing filter unit, configured to perform smoothing filtering on the sampling data of each gather in the abnormal energy band after normal moveout correction for each moment to complete the suppression of abnormal energy noise for all gathers;

[0115] A reverse correction unit, configured to perform reverse correction on the shot records after suppression of abnormal energy noise to obtain the shot records with abnormal energy suppressed.

[0116] In some embodiments, the abnormal energy band is a vertical strip.

[0117] In some embodiments, in the smoothing filter unit, performing smoothing filtering on the sampling data of each gather for each moment specifically includes:

[0118] Shuffling the sampling data of the gather at this moment to obtain a new sequence;

[0119] Filtering the new sequence using a mathematical filtering method;

[0120] Then restoring the filtered data to the original order.

[0121] In some embodiments, shuffling the sampled data of the gather at this moment includes:

[0122] Extracting the sampled data at every set odd distance to reorder the sampled data of the gather.

[0123] In some embodiments, the mathematical filtering method is one-dimensional mean filtering or median filtering.

[0124] This embodiment introduces a high-energy signal suppression scheme for geophysical model data. This technical solution uses the technical means of a smoothing function to suppress abnormally high energy. The shot gather data (or common midpoint gather data) is first flattened by normal moveout; then, based on the flattened common reflection point, the sample points at the same moment are extracted as a two-dimensional linear function, and a smoothing function (such as median filtering) is used for smoothing processing; after the processed energy is relatively consistent and the high-energy signals are suppressed, inverse normal moveout is performed to obtain the shot gather (or common midpoint gather). The purpose of the present invention is to more accurately suppress the high-energy signals in the physical model data, so as to obtain good results in migration imaging.

[0125] For other detailed descriptions and advantages of this embodiment, reference can be made to the corresponding descriptions in the foregoing embodiments, which will not be elaborated herein.

[0126] Example 3

[0127] According to another aspect of the present invention, an electronic device is further provided. The electronic device includes:

[0128] A memory storing executable instructions:

[0129] A processor, and the processor runs the executable instructions in the memory to implement the method for suppressing high-energy signals in geophysical model data according to the present invention.

[0130] Specifically, the memory may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0131] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In an embodiment of the present invention, the processor is used to run the computer-readable instructions stored in the memory.

[0132] The method for suppressing high-energy signals in geophysical model data includes:

[0133] Step 1: Analyze the geophysical exploration data to identify abnormal energy bands containing abnormal energy in the shot records.

[0134] Step 2: Perform NMO processing on the abnormal energy bands to flatten the event axes of the shot records.

[0135] Step 3: For each gather in the abnormal energy bands after NMO, perform smoothing filtering on the sampled data of each gather at each time to complete the suppression of abnormal energy noise for all gathers.

[0136] Step 4: Perform inverse NMO on the shot records after suppressing abnormal energy noise to obtain the shot records with abnormal energy suppressed.

[0137] In some embodiments, the abnormal energy bands are vertical strips.

[0138] In some embodiments, in Step 3, performing smoothing filtering on the sampled data of each gather at each time specifically includes:

[0139] Shuffle the order of the sampled data of the gather at this time to obtain a new sequence.

[0140] Use a mathematical filtering method to filter the new sequence.

[0141] Then restore the filtered data to its original order.

[0142] In some embodiments, shuffling the order of the sampled data of the gather at this time includes:

[0143] Extract the sampled data at every set odd distance to reorder the sampled data of the gather.

[0144] In some embodiments, the mathematical filtering method is one-dimensional mean filtering or median filtering.

[0145] This embodiment introduces a scheme for suppressing high-energy signals in geophysical model data. This technical solution uses the technical means of a smoothing function to suppress abnormal high energy. First, flatten the event axes of the shot gather data (or common midpoint gather data) through NMO; then, based on the flattened event axes, extract the sample points at the same time as a two-dimensional linear function and perform smoothing processing using a smoothing function (such as median filtering); after the processed energy is relatively consistent and the high-energy signals are suppressed, perform inverse NMO to obtain the shot gather (or common midpoint gather). The purpose of the present invention is to more accurately suppress the high-energy signals in the physical model data, so as to obtain good results in migration imaging.

[0146] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0147] Example 4

[0148] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the method for suppressing high-energy signals of geophysical model data according to the present invention is implemented.

[0149] The computer-readable storage medium according to the embodiment of the present invention stores non-transitory computer-readable instructions, and when the non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the above-mentioned methods of the embodiments of the present invention are executed.

[0150] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0151] Those skilled in the art should be able to understand that in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus and an interface, and these well-known structures should also be included in the protection scope of the present invention.

[0152] The high-energy signal suppression method of the geophysical model data includes:

[0153] Step 1, analyzing geophysical exploration data to identify abnormal energy bands containing abnormal energy in shot records;

[0154] Step 2, perform dynamic correction on the abnormal energy band to flatten the event axis recorded by the gun;

[0155] Step 3: for each channel gather in the abnormal energy band after the dynamic correction, the sampling data of the channel gather at each moment is smoothed and filtered to complete the suppression of abnormal energy noise of all channel gathers;

[0156] Step 4, performing a reaction correction on the shot record after the abnormal energy noise is suppressed to obtain the shot record after the abnormal energy is suppressed.

[0157] In some embodiments, the abnormal energy band is a vertical strip.

[0158] In some implementations, in step 3, smoothing and filtering the sampled data of the gather at each moment specifically includes:

[0159] Shuffle the sampling data of the trace gather at this moment to obtain a new sequence;

[0160] Use a mathematical filtering method to filter the new sequence;

[0161] Then restore the filtered data to its original order.

[0162] In some embodiments, shuffling the sampling data of the trace gather at this moment includes:

[0163] Extract the sampling data at every set odd distance to reorder the sampling data of the trace gather.

[0164] In some embodiments, the mathematical filtering method is one-dimensional mean filtering or median filtering.

[0165] This embodiment introduces a high-energy signal suppression scheme for geophysical model data. This technical solution uses the technical means of a smoothing function to suppress abnormally high energy. First, the shot gather data (or common midpoint trace gather data) is flattened by normal moveout; then, based on the flattened common reflection point, the sample points at the same moment are extracted as a two-dimensional linear function, and a smoothing function (such as median filtering) is used for smoothing processing; after the processed energy is relatively consistent and the high-energy signals are suppressed, reverse normal moveout is performed to obtain the shot gather (or common midpoint trace gather). The purpose of the present invention is to more precisely suppress the high-energy signals in the physical model data, so as to obtain good results in migration imaging.

[0166] For the detailed description of this embodiment, reference can be made to the corresponding descriptions in the foregoing embodiments, and details will not be repeated here.

[0167] Example 5

[0168] The effects of the present invention will be further described in detail below in conjunction with the accompanying drawings of the specification and specific exemplary embodiments.

[0169] Figure 2 Shows a schematic diagram of a trace gather containing abnormal energy. Figure 2 Shown is a near-offset trace gather, in which the energy in the middle part is higher than other parts, forming an obvious vertical strip-shaped energy anomaly zone, which is the target area to be studied in the present invention.

[0170] Figure 3 Shows a schematic diagram after time difference correction of the trace gather containing abnormal energy according to an exemplary embodiment of the present invention. It can be seen from Figure 3 that each common reflection point is in a horizontal state, which provides conditions for subsequent suppression of abnormal energy.

[0171] Figure 4Shows a gather schematic diagram after abnormal energy suppression according to an embodiment of the present invention. From Figure 4 it can be seen that the abnormal energy has been effectively suppressed.

[0172] Figure 5 Shows a shot record schematic diagram after reaction correction according to an embodiment of the present invention. Figure 5 The in-phase axis of all shot records has restored the original hyperbolic form, and the abnormal energy has been effectively suppressed, creating favorable conditions for subsequent fine velocity picking and migration imaging services.

[0173] It can be understood that the above-mentioned embodiments mentioned in the present disclosure, without violating the principle logic, can be combined with each other to form a combined embodiment. Due to space limitations, the present disclosure will not elaborate further. Those skilled in the art can understand that in the above method of the specific implementation manner, the specific execution order of each step should be determined according to its function and possible internal logic.

[0174] Note that unless otherwise directly stated, all features disclosed in this specification (including any appended claims, abstract, and drawings) can be replaced by alternative features for achieving the same, equivalent, or similar purposes. Therefore, unless otherwise clearly stated, each feature disclosed is only an example of a group of equivalent or similar features. When used, further, preferably, furthermore, and more preferably are simple beginnings for elaborating another embodiment based on the foregoing embodiment. The content following the further, preferably, furthermore, or more preferably in combination with the foregoing embodiment constitutes a complete composition of another embodiment. A further embodiment can be formed by arbitrarily combining several further, preferably, furthermore, or more preferably settings following the same embodiment.

[0175] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The function and structural principle of the present invention have been shown and described in the embodiments. Without departing from the said principle, the embodiments of the present invention can have any deformation or modification.

[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A method for suppressing high-energy signals in geophysical model data, characterized in that, the method comprises: Step 1, analyze the geophysical exploration data to identify abnormal energy bands containing abnormal energy in the gun records; Step 2, perform dynamic correction processing on the abnormal energy bands to flatten the event axes of the gun records; Step 3, for each gather in the abnormal energy bands after dynamic correction, perform smoothing filtering on the sampled data of each gather at each moment to complete the suppression of abnormal energy noise for all gathers; Step 4, perform inverse dynamic correction on the gun records after suppressing abnormal energy noise to obtain the gun records after suppressing abnormal energy.

2. The method according to claim 1, characterized in that, the abnormal energy bands are vertical strips.

3. The method according to claim 1, characterized in that, in Step 3, performing smoothing filtering on the sampled data of each gather at each moment specifically includes: shuffle the sampled data of each gather at this moment to obtain a new sequence; use a mathematical filtering method to filter the new sequence; then restore the filtered data to its original order.

4. The method according to claim 3, characterized in that, shuffling the sampled data of each gather at this moment includes: extract the sampled data at intervals of a set odd distance to reorder the sampled data of the gather.

5. The method according to claim 3, characterized in that, the mathematical filtering method is one-dimensional mean filtering or median filtering.

6. A device for suppressing high-energy signals in geophysical model data, characterized in that, the device comprises: An abnormal energy band identification unit for analyzing geophysical exploration data to identify abnormal energy bands containing abnormal energy in the gun records; A dynamic correction unit for performing dynamic correction processing on the abnormal energy bands to flatten the event axes of the gun records; A smoothing filtering unit for performing smoothing filtering on the sampled data of each gather at each moment in the abnormal energy bands after dynamic correction to complete the suppression of abnormal energy noise for all gathers; An inverse dynamic correction unit for performing inverse dynamic correction on the gun records after suppressing abnormal energy noise to obtain the gun records after suppressing abnormal energy.

7. The device according to claim 6, characterized in that, the abnormal energy bands are vertical strips.

8. The device according to claim 6, characterized in that, in the smoothing filtering unit, performing smoothing filtering on the sampled data of each gather at each moment specifically includes: shuffle the sampled data of each gather at this moment to obtain a new sequence; use a mathematical filtering method to filter the new sequence; then restore the filtered data to its original order.

9. An electronic device, characterized in that, the electronic device comprises: A memory storing executable instructions; A processor, the processor running the executable instructions in the memory to implement the method according to any one of claims 1-5.

10. A computer-readable storage medium storing a computer program, which when executed by a processor implements the method according to any one of claims 1-5.

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