A method, device, equipment and medium for improving accuracy of complex surface shot deviation quality control

Abstract

This invention relates to the field of seismic data acquisition and processing technology, and discloses a method, device, equipment, and medium for improving the quality control accuracy of shot offset in complex surface areas. The method includes: static correction processing of single shots in the field for complex target areas; determining the optimal inversion data range based on the surface structure of the complex target area and the first arrival times on both sides of a single shot in the field; picking the first arrival times of single shots within the optimal inversion data range to obtain the target first arrival times, and checking the accuracy of the target first arrival times and SPS files; when the accuracy meets an accuracy threshold, inverting the actual shot point position based on the receiver point information in the target first arrival times and SPS files; calculating the along-axis and vertical offsets of the actual shot point position and the theoretical shot point position in the SPS files, calculating the shot point offset based on the along-axis and vertical offsets, and determining the shot offset quality control accuracy of the complex target area based on the shot point offset. This invention can improve the accuracy of shot offset quality control in complex surface areas.

Description

Technical Field

[0001] This invention relates to the field of seismic data acquisition and processing technology, and in particular to a method, device, equipment, and medium for improving the quality control accuracy of shot offset in complex surface earthquakes. Background Technology

[0002] Shot offset checking is a crucial part of the seismic data acquisition quality control process. It is generally believed that the shot point offset should not exceed the size of a single surface cell; otherwise, uneven coverage will occur, severely impacting the imaging quality of subsequent processed profiles. The applicable conditions for shot offset quality control vary depending on the work area. To improve the accuracy of shot offset quality control in work areas with complex surfaces, it is necessary to mitigate the impact of rapid changes in near-surface longitudinal and lateral velocities to a certain extent.

[0003] Existing shot deviation quality control technology is based on the LMO linear dynamic correction method, which checks for misalignment in the initial arrival after leveling, thereby verifying the accuracy of the shot-to-accuracy relationship. In practical applications, when the properties of the medium in the work area change drastically, the work area needs to be divided into multiple small areas according to the near-surface conditions. This makes it difficult to select an accurate dynamic correction velocity in each area, resulting in low accuracy when performing shot deviation quality control on complex surfaces. Summary of the Invention

[0004] To address the aforementioned problems, embodiments of the present invention provide a method, apparatus, equipment, and medium for improving the quality control accuracy of gun deviation on complex surface terrain.

[0005] In a first aspect, embodiments of the present invention provide a method for improving the quality control accuracy of artillery shots on complex surfaces, including:

[0006] Static calibration processing is performed on single-shot targets in complex field areas.

[0007] The optimal inversion data range for the target complex work area is determined based on the surface structure of the target complex work area and the initial arrival times of both sides of the single shot in the field after static correction.

[0008] First arrivals are picked up for single shots in the field within the optimal inversion data range to obtain the target first arrivals, and the accuracy of the target first arrivals and the preset SPS file is detected.

[0009] When the accuracy meets the preset accuracy threshold, the actual shot point position is inverted based on the target arrival and the detector point information in the SPS file.

[0010] Calculate the deviation along the actual shot point position and the deviation vertically from the theoretical shot point position in the SPS file. Calculate the shot point offset based on the deviation along the actual position and the deviation vertically. Determine the shot deviation quality control accuracy of the complex target work area based on the shot point offset.

[0011] According to an embodiment of the present invention, the static correction processing for a single shot in a complex field area includes:

[0012] Obtain the single-shot time of a single gun in a complex field area;

[0013] The static correction amount of the single shot in the field is determined based on the single shot time.

[0014] The field gun is statically corrected based on the static correction value.

[0015] According to an embodiment of the present invention, determining the optimal inversion data range for the target complex work area based on the surface structure of the target complex work area and the initial arrival times of both sides of a single shot in the field after static correction includes:

[0016] The line and road directions of the target complex work area are determined based on the surface structure.

[0017] Select the range of line-received data within the single-shot record in the work area along the line direction;

[0018] Select the range of track received data within the single-shot record in the work area along the track direction;

[0019] The optimal inversion data range for the target complex work area is determined based on the line data receiving range and the channel data receiving range.

[0020] According to an embodiment of the present invention, the step of performing first-arrival pickup on a single shot in the field within the optimal inversion data range to obtain the target's first arrival includes:

[0021] Obtain the target single-gun reception records corresponding to the single gun in the field within the optimal inversion data range;

[0022] Extract the target's initial arrival from the target's single-shot reception record.

[0023] According to an embodiment of the present invention, calculating the along-offset and vertical-offset of the actual shot point position relative to the theoretical shot point position in the SPS file includes:

[0024] The following formulas are used to calculate the along-angle and vertical deviations of the actual shot point position from the theoretical shot point position in the SPS file:

[0025]

[0026] Among them, ERR x For the aforementioned bias, ERR y Let Z be the vertical deviation. x Z y ) represents the actual gun position, (L) x Ly ) represents the theoretical shot point location.

[0027] According to an embodiment of the present invention, calculating the shot point offset based on the along-offset and the vertical-offset includes:

[0028] The shot point offset is calculated using the following offset calculation formula based on the along-offset and the vertical-offset:

[0029]

[0030] Among them, ERR all ERR is the offset of the shot point. x For the aforementioned bias, ERR y Let be the vertical deviation.

[0031] According to an embodiment of the present invention, the step of inverting the actual shot location based on the target's initial arrival and the detector point information in the SPS file includes:

[0032] Using a preset near offset distance, the actual shot location is inverted based on the target's initial arrival and the detector point information in the SPS file.

[0033] Secondly, embodiments of the present invention provide a device for improving the quality control accuracy of artillery shots on complex surfaces, characterized in that it includes:

[0034] The field single-shot static correction processing module is used to perform static correction processing on single shots in complex target areas.

[0035] The optimal inversion data range determination module is used to determine the optimal inversion data range of the target complex work area based on the surface structure of the target complex work area and the initial arrival times of both sides of a single shot in the field after static correction.

[0036] The first arrival acquisition module is used to acquire the first arrival of a single shot in the field within the optimal inversion data range, obtain the first arrival of the target, and detect the accuracy of the first arrival of the target and the preset SPS file.

[0037] The true shot location inversion module is used to invert the true shot location based on the target's initial arrival and the detector point information in the SPS file when the accuracy meets a preset accuracy threshold.

[0038] The shot point offset calculation module is used to calculate the deviation along the actual shot point position and the deviation vertically from the theoretical shot point position in the SPS file, calculate the shot point offset based on the deviation along the actual shot point position and the deviation vertically, and determine the shot offset quality control accuracy of the target complex work area based on the shot point offset.

[0039] Thirdly, embodiments of the present invention provide an apparatus comprising:

[0040] processor;

[0041] Memory used to store the processor's executable instructions;

[0042] The processor is configured to execute the instructions to implement a method for improving the quality control accuracy of gun deviation on complex surfaces as described in the first aspect above.

[0043] Fourthly, embodiments of the present invention provide a medium on which a computer program is stored, which, when executed by a processor, implements a method for improving the quality control accuracy of complex surface gun deviation as described in the first aspect.

[0044] Compared with the prior art, the above-mentioned technical solution of the present invention has the following beneficial effects:

[0045] The embodiments of this invention perform static correction processing on seismic data in areas with complex surface structures. Based on the surface structure characteristics of the area and the first arrival times on both sides of a single shot record, appropriate near-receiver lines and channels are selected, thereby limiting the number of receiver arrays and the shot-receiver distance range. This mitigates the impact of rapid changes in near-surface longitudinal and lateral velocities to a certain extent. First arrivals are picked up from the selected seismic data, and the accuracy of the first arrival and SPS files is checked. The actual shot point position is inverted using the first arrival and receiver point information within the SPS, and the along- and vertical offsets relative to the theoretical shot point position within the SPS are calculated to obtain the final shot point offset. This effectively solves the problem of inaccurate shot point offsets in areas with drastic changes in near-surface velocities, improves the quality of seismic acquisition data, and ensures subsequent imaging results. Therefore, the method, apparatus, equipment, and medium for improving the quality control accuracy of shot offset in complex surface areas proposed in this invention can solve the problem of low accuracy when performing quality control of shot offset in complex surface areas. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 The flowchart of the method for improving the quality control accuracy of complex surface gun deviation according to Embodiment 1 of the present invention is shown.

[0048] Figure 2a This shows a near-array single-shot recording diagram of an LMO before linear dynamic correction according to Embodiment 1 of the present invention;

[0049] Figure 2bThis shows a near-array single-shot record diagram after LMO linear dynamic correction according to Embodiment 1 of the present invention;

[0050] Figure 3a This shows a schematic diagram of a long-range single-shot recording according to Embodiment 1 of the present invention;

[0051] Figure 3b This shows a schematic diagram of the single-shot recording in Embodiment 1 of the present invention;

[0052] Figure 3c This shows a schematic diagram of near-arranged single-shot recording according to Embodiment 1 of the present invention;

[0053] Figure 4a This diagram illustrates the data range for full offset inversion according to Embodiment 1 of the present invention.

[0054] Figure 4b This shows a schematic diagram of the gun deflection target center obtained by full offset inversion according to Embodiment 1 of the present invention;

[0055] Figure 4c This diagram shows a comparison of the measured shot offset inversion of the full offset in Embodiment 1 of the present invention.

[0056] Figure 5a This diagram illustrates the data range for near-offset inversion according to Embodiment 2 of the present invention.

[0057] Figure 5b This shows a schematic diagram of the near-offset inversion of the gun deflection target center according to Embodiment 2 of the present invention;

[0058] Figure 5c This diagram shows a comparison of the measured shot offset inversion in Embodiment 2 of the present invention.

[0059] Figure 6 This diagram shows the functional block diagram of the device for improving the quality control accuracy of complex surface gun deviation according to Embodiment 3 of the present invention.

[0060] Figure 7 The diagram shows the composition of the electronic device used in the implementation of the method for improving the quality control accuracy of gun deviation on complex surfaces according to Embodiment 4 of the present invention. Detailed Implementation

[0061] The present disclosure will be further described below with reference to the embodiments shown in the accompanying drawings.

[0062] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0063] This invention proposes a method for improving the quality control accuracy of shot offset in complex surface seismic data acquisition. Based on linear correction theory and combined with static correction methods, a near-surface structural model is constructed to invert the actual shot point locations and calculate the shot point offsets. Compared with traditional methods, this method is more efficient and reduces human subjectivity, showing great potential and application prospects in seismic data interpretation.

[0064] Example 1

[0065] like Figure 1 As shown, this invention proposes a method for improving the quality control accuracy of surface gun eccentricity in complex terrain, comprising the following steps:

[0066] S1. Perform static correction on single shots in complex field areas.

[0067] In one practical application scenario of this invention, in desert exploration areas with similar surface properties, the LMO linear dynamic correction method is quite sensitive to shot point offset and has a strong ability to identify shot point offset. However, in exploration areas at the edge of the desert, where the surface treatment includes desert, farmland, riverbanks, and other areas, the surface lithology is very drastic, the low-velocity zone is very thick, and the excitation and reception conditions are complex, causing drastic changes in near-surface velocity in both longitudinal and lateral directions. In this case, conventional shot offset quality control methods are no longer applicable. The LMO linear dynamic correction method uses a constant velocity to perform linear dynamic correction on a single shot record, checking for misalignment of the initial arrival after leveling, and thus verifying the accuracy of the shot-receiver relationship. Since it involves manual comparison of each shot indoors, it is highly subjective, and the reliability limit is only a track spacing and line spacing, resulting in low accuracy. When the medium properties in the work area change drastically, it is necessary to divide the work area into multiple small areas according to the near-surface conditions, and selecting an accurate dynamic correction velocity in each area is quite difficult.

[0068] In this embodiment of the invention, conventional shot offset quality control methods are no longer applicable in exploration areas on the edge of deserts. It is necessary to improve the shot offset quality control accuracy on complex surfaces to solve the problem of inaccurate shot point offset in areas with drastic changes in near-surface velocity, thereby improving the quality of seismic acquisition data and ensuring subsequent imaging effects.

[0069] Furthermore, for work areas with complex surface structures, the surface lithology varies drastically in different regions due to complex surface conditions, large variations in the thickness of low-velocity zones, and complex excitation and reception conditions, resulting in drastic longitudinal and lateral variations in near-surface velocities. The LMO linear dynamic correction method cannot flatten the first arrival wave, and conventional shot offset quality control methods are no longer applicable. Therefore, it is necessary to first perform static correction processing on the seismic data of work areas with complex surface structures to correct the time offset in the seismic record, so that the first arrival of the seismic wave is aligned in time, thereby obtaining more accurate subsurface information.

[0070] In this embodiment of the invention, the field single-shot data refers to a single seismic source point during the seismic data acquisition process in seismic exploration. Considering the complex surface structure of the target complex work area, in order to provide more accurate field single-shot data, static correction processing of the field single shot is required.

[0071] In this embodiment of the invention, the static correction processing for a single shot in a complex field work area includes:

[0072] Obtain the single-shot time of a single gun in a complex field area;

[0073] The static correction amount of the single shot in the field is determined based on the single shot time.

[0074] The field gun is statically corrected based on the static correction value.

[0075] In detail, using the static correction model obtained from the inversion, combined with the shot location and the receiver location of the seismic record, the static correction amount at each receiver location is calculated. The static correction amount represents the static offset of the seismic record on the time axis. Then, based on the static correction amount, the time translation correction of the single shot time of the field shot is performed. By eliminating the offset of static effects, the time alignment and quality of the seismic record can be improved, so as to obtain more accurate and reliable seismic data.

[0076] For example, the work area is located in the southwestern part of the Taklamakan Desert, and is mainly divided into desert, farmland, dense forest, rivers, and wetlands according to surface features. The desert area is distributed in the southeast, central, and northwest of the work area, forming a strip-like distribution. The sand dunes are honeycomb-shaped, fish-scale-shaped, and crescent-shaped, with relatively small overall undulations and a height difference of 5-15m. Within this area, 50.79% of the geophone points and 41.38% of the artillery points are located. The farmland area is mainly distributed along the banks of two rivers, with 19.73% of the geophone points and 32.09% of the artillery points located there. The dense forest area is mainly distributed along the banks of the rivers, with lush vegetation, with 20.95% of the geophone points and 15.95% of the artillery points located there. Within the two rivers, 6.94% of the geophone points and 6.87% of the artillery points are located. The water and wetland areas within the work area mainly include three reservoirs, four aquaculture sites, and scattered depressions, with 1.59% of the geophone points and 3.71% of the artillery points located there. The area is riddled with obstacles, has extremely complex surface conditions, exhibits dramatic variations in surface lithology across different regions, displays significant differences in the thickness of low-velocity zones, and suffers from complex excitation and reception conditions, resulting in drastic longitudinal and lateral variations in near-surface velocities. Figure 2a The image shown is a close-packed single-shot record before LMO linear dynamic correction, representing the close-packed single-shot record before LOM linear dynamic correction; as shown... Figure 2bThe image shown is a close-range single-shot record after LMO linear dynamic correction, representing a close-range single-shot record after LOM linear dynamic correction. Therefore, the linear dynamic correction method cannot flatten the first arrival wave, and conventional shot deviation quality control methods are no longer applicable.

[0077] Furthermore, by selecting appropriate near-receiver lines and traces based on the surface structure characteristics of the work area and the first arrival times on both sides of the single shot record, a relatively stable near-surface structure model is obtained.

[0078] S2. Determine the optimal inversion data range for the target complex work area based on the surface structure of the target complex work area and the initial arrival times of both sides of the single shot in the field after static correction.

[0079] In this embodiment of the invention, the optimal inversion data range is determined by examining the actual trends on both sides of the single-shot records arranged in the far, middle, and near ranges of the work area. This takes into account the problem of drastic changes in the longitudinal and lateral velocities near the ground surface under large offset ranges, and obtains a more stable refraction layer by selecting two methods: near arrangement and small offset.

[0080] In this embodiment of the invention, determining the optimal inversion data range for the target complex work area based on the surface structure of the target complex work area and the initial arrival times of both sides of a single shot in the field after static correction includes:

[0081] Determine the line and road directions of the target complex work area based on the surface structure;

[0082] Select the range of line-received data within the single-shot record in the work area along the line direction;

[0083] Select the range of track received data within the single-shot record in the work area along the track direction;

[0084] The optimal inversion data range for the target complex work area is determined based on the line data receiving range and the channel data receiving range.

[0085] In detail, the line direction and trace direction of the target complex work area refer to the direction or orientation of the line formed by the distributed seismic receivers (or seismic detectors) during seismic exploration, and the trace direction refers to the direction or orientation of a single seismic record (or trace or trace gather) on the seismic data acquisition line. While ensuring inversion accuracy, data within the range selected in the line direction are chosen, and data within the same range in the trace direction are selected, thereby determining the optimal inversion data range for the target complex work area and ensuring a relatively stable linear relationship between the shot-receiver distance and the first arrival.

[0086] For example, the work area is located in the southwestern part of the Taklamakan Desert. This work area is a 6-gun 32-line receiving area with a receiving line spacing of 300m and a track spacing of 50m. Figure 3aThe diagram shows a remote single-shot recording, including the single-shot recording from the 32nd line remote receiver. The time difference between the left and right lines is significant, at 158ms (i.e., 3.653 - 6.435 = 0.158). Figure 3b The diagram shows a single-shot recorder in the middle array, including the single-shot recorder received by the 25th line in the middle array. The time difference between the left and right arms is reduced to 93ms. Figure 3c As shown, this is a schematic diagram of the near-arranged single-shot records, including the single-shot records received by the 16th line. The time difference between the left and right branches is relatively small, at 24ms. In summary, under the premise of ensuring inversion accuracy, data within the middle arrangement are selected in the line direction (since the source is at the center of the curve of the single-shot records received, and the left and right branches are symmetrical, i.e., data received by the 9th to 24th lines are selected as data within the middle arrangement). In the trace direction, data within the same range as the line direction are selected (i.e., data with an offset distance of (24-9)*300 / 2=2250m). This ensures, to a certain extent, a more stable linear relationship between the shot-receiver distance and the first arrival.

[0087] Furthermore, based on the optimal inversion data range for the selected complex work area, first arrival picking is performed on single shots in the field within the selected range of seismic data to improve the accuracy of inverting the true shot location.

[0088] S3. First arrival pickup is performed on a single shot in the field within the optimal inversion data range to obtain the target first arrival, and the accuracy of the target first arrival and the preset SPS file is detected.

[0089] In this embodiment of the invention, the target first arrival is the moment when vibration is detected by a single shot in the field within the optimal inversion data, which is called the first arrival time of the wave. The time position of the first arrival (i.e., the first arriving seismic wave) is identified and marked from the seismic waveform data.

[0090] In this embodiment of the invention, the step of picking up the first arrival of a single shot in the field within the optimal inversion data range to obtain the target's first arrival includes:

[0091] Obtain the target single-gun reception records corresponding to the single gun in the field within the optimal inversion data range;

[0092] Extract the target's initial arrival from the target's single-shot reception record.

[0093] In detail, the first step is to determine the target single-shot reception records within the optimal inversion data range, such as the data within the line direction selection (i.e., the data received from lines 9 to 24). If the data within the same range as the line direction is selected in the trace direction, the first arrival will be picked from the data received from lines 9 to 24 to obtain the first arrival within the optimal inversion data range. The first arrival in the seismic records can be automatically identified and picked using computer algorithms and signal processing techniques.

[0094] Specifically, the accuracy of the target first arrival and SPS files needs to be checked. To calculate the shot point offset by inverting the actual shot point location, assuming the target first arrival and SPS files are accurate, a quality assessment of the seismic data can be performed. This involves checking the noise level, data integrity, and data resolution in the seismic record to ensure the data itself is of good quality. Low-quality seismic data may lead to inaccurate first arrival picking; for multiple receivers, their first arrivals should be compared for consistency. Under the same seismic event, the target first arrivals at different receivers should be similar or consistent. By checking the consistency of the first arrival, it can be determined whether there are errors or inaccuracies in the first arrival picking. Topographic and geomorphological analysis is performed to compare whether the target's first arrival and the calibration position in the SPS file match the geomorphological features. Topographic and geomorphological features can provide additional clues to assess the accuracy of the first arrival and shot point positions. Based on multiple accuracy assessments, the accuracy of the target detection first arrival and SPS file is evaluated. The SPS file (Shot Point Spreadsheet) is an electronic spreadsheet file that records shot point information in seismic exploration. This file contains the location information of each shot point, such as longitude, latitude, and altitude.

[0095] Furthermore, assuming the target arrival and SPS file are accurate, the actual shot point position is inverted to calculate the shot point offset, thereby improving the accuracy of the offset calculation.

[0096] S4. When the accuracy meets the preset accuracy threshold, the actual shot point position is inverted based on the target arrival and the detector point information in the SPS file.

[0097] In this embodiment of the invention, the accuracy of the inversion of the true shot point position from the target's initial arrival and the receiver point information in the SPS file can only be guaranteed if the accuracy of the initial arrival and the file content in the SPS file are checked for accuracy, and the accuracy of the file content in the initial arrival and the SPS file meets a preset accuracy threshold. The true shot point position is obtained through inversion, and is inverted according to a backpropagation or fitting algorithm in the preset inversion software.

[0098] In this embodiment of the invention, the step of inverting the actual shot location based on the target's initial arrival and the detector point information in the SPS file includes:

[0099] Using a preset full offset, the actual shot location is inverted based on the target's initial arrival and the detector point information in the SPS file.

[0100] In detail, the target first arrival (QFA) is matched with the receiver information in the SPS file. By comparing the QFA of each receiver with its corresponding position in the SPS file, the true shot location can be calculated based on the full offset and QFA. The full offset provides the distance information between the shot and the receiver, while the QFA can be used to determine the time of arrival. Using inversion algorithms and geometric relationships, the true shot location satisfying both the full offset and QFA can be calculated. The full offset is the distance perpendicular to the seismic wave propagation path and can be used to describe the depth and location of different reflecting layers in the seismic record.

[0101] For example, the work area is located in the southwestern part of the Taklamakan Desert, where near-surface velocities vary significantly, leading to severe failure of the full-offset inversion results. Figure 4a The diagram shows the data range for full-offset inversion, indicating the data range for full-offset inversion. A square represents the data inversion range, with the black dot in the center as the inversion center. Figure 4b The image shows a schematic diagram of the shot deflection target center retrieved by full offset inversion. It includes a target center diagram and table showing the retrieved shot deflection target center and the retrieved shot deflection amount corresponding to the shot station number. Figure 4c The diagram shows a comparison of measured shot offsets in the full offset inversion, comparing the inverted offsets corresponding to the shot station numbers with the actual offsets. Based on the target center diagram of the full offset inversion, the inverted shot offset can be determined. Since the line spacing is much larger than the track spacing, the line direction is more significantly affected by surface conditions. This manifests as a much larger inversion offset in the line direction (north-south) than in the track direction (east-west), resulting in lower accuracy. Furthermore, of the 10 points with the largest offsets found in the measured shot offset comparison table, only one exceeded 5m in actual measurement. Therefore, selecting appropriate near-receiver lines and tracks to obtain a more stable near-surface structure model can improve inversion accuracy.

[0102] S5. Calculate the deviation along the actual shot point position and the deviation vertically from the theoretical shot point position in the SPS file. Calculate the shot point offset based on the deviation along the actual position and the deviation vertically. Determine the shot deviation quality control accuracy of the target complex work area based on the shot point offset.

[0103] In this embodiment of the invention, the horizontal offset is the horizontal offset between the actual shot position and the theoretical shot position, and the vertical offset is the vertical offset between the actual shot position and the theoretical shot position.

[0104] In this embodiment of the invention, calculating the along-offset and vertical-offset of the actual shot point position and the theoretical shot point position in the SPS file includes:

[0105] The following formulas are used to calculate the along-angle and vertical deviations of the actual shot point position from the theoretical shot point position in the SPS file:

[0106]

[0107] Among them, ERR x For the aforementioned bias, ERR y Let Z be the vertical deviation. x Z y ) represents the actual gun position, (L) x L y ) represents the theoretical shot point location.

[0108] In detail, the offset of the final shot point is obtained by calculating the deviation along and vertically between the actual shot point position and the theoretical shot point position within the SPS, in order to improve the quality control accuracy of shot offset and improve the quality of seismic acquisition data.

[0109] In this embodiment of the invention, calculating the shot point offset based on the along-offset and the vertical-offset includes:

[0110] The shot point offset is calculated using the following offset calculation formula based on the along-offset and the vertical-offset:

[0111]

[0112] Among them, ERR all ERR is the offset of the shot point. x For the aforementioned bias, ERR y Let be the vertical deviation.

[0113] In detail, the process of calculating the offset is automated, with high detection efficiency, and can quantitatively detect shot deviation. Traditional offset calculations rely on visual observation, which inevitably introduces some error. However, calculating the shot point offset using the along-offset and vertical-offset measurements requires no manual intervention; the integrated software module automatically detects the offset of the shot point position.

[0114] Furthermore, the offset of the final shot point can effectively solve the problem of inaccurate shot point offset in areas with drastic changes in near-surface velocity, improve the quality of seismic acquisition data, ensure subsequent imaging effects, and thus improve the shot offset quality control accuracy in complex target areas.

[0115] Example 2

[0116] To better understand the present invention, a second embodiment is provided below to further explain how the present invention improves inversion accuracy by inverting the actual shot location based on the target's initial arrival and the detector point information in the SPS file.

[0117] In this embodiment of the invention, the step of inverting the actual shot location based on the target's initial arrival and the detector point information in the SPS file includes:

[0118] Using a preset near offset distance, the actual shot location is inverted based on the target's initial arrival and the detector point information in the SPS file.

[0119] In detail, near offset refers to the seismic wave data recorded by receivers closer to the shot point during seismic exploration. By matching the target first arrival with the receiver information in the SPS file, and comparing the target first arrival of each receiver with the corresponding receiver position information in the SPS file, the true shot point location can be calculated and inverted based on the near offset and the target first arrival. This ensures the accuracy of the offset to a certain extent.

[0120] For example, the true shot location is inverted based on the optimal inversion data range selected for appropriate proximity to the receiver line and trace, such as... Figure 5a The diagram shows the data range for near-offset inversion, indicating the data range for near-offset inversion. An irregular shape represents the data inversion range, with the black dot in the center as the inversion center. Figure 5b The image shows a schematic diagram of the gun offset target center retrieved via near-offset inversion. It includes a target center diagram and table showing the retrieved gun offset and the retrieved gun offset amount corresponding to the gun station number. Figure 5c The diagram shows a comparison of measured shot offsets obtained from near-offset inversion. It compares the inverted offsets and actual offsets corresponding to different shot station numbers. In the comparison table, the inverted offsets are obtained through inversion, while the actual offsets are measured point-by-point by exploration personnel. Comparing the inverted and actual offsets, 6 out of the 10 points with the largest offsets found in the comparison table exceeded 5m in actual measurements. Furthermore, the three points with the largest shot offsets on that day in this area were also identified. This effectively solves the problem of inaccurate shot offsets in areas with drastic changes in near-surface velocity, improves the quality of seismic acquisition data, and ensures subsequent imaging results.

[0121] Example 3

[0122] like Figure 6 As shown in the figure, this embodiment also provides a functional block diagram of a device for improving the quality control accuracy of gun deviation on complex surfaces.

[0123] The complex surface shot deviation quality control accuracy improvement device 100 described in this embodiment can be installed in the equipment. Depending on the functions implemented, the complex surface shot deviation quality control accuracy improvement device 100 may include a field single-shot static correction processing module 101, an optimal inversion data range determination module 102, an initial arrival pickup module 103, a true shot point position inversion module 104, and a shot point offset calculation module 105. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the equipment processor and perform a fixed function, stored in the equipment's memory.

[0124] In this embodiment, the functions of each module / unit are as follows:

[0125] The field single-shot static correction processing module 101 is used to perform static correction processing on field single shots in complex target work areas.

[0126] The optimal inversion data range determination module 102 is used to determine the optimal inversion data range of the target complex work area based on the surface structure of the target complex work area and the initial arrival times of both sides of the single gun in the field after static correction.

[0127] The first arrival acquisition module 103 is used to acquire the first arrival of a single shot in the field within the optimal inversion data range, obtain the target first arrival, and detect the accuracy of the target first arrival and the preset SPS file.

[0128] The true shot location inversion module 104 is used to invert the true shot location based on the target arrival and the detector point information in the SPS file when the accuracy meets the preset accuracy threshold.

[0129] The shot point offset calculation module 105 is used to calculate the offset along the actual shot point position and the offset vertically between the actual shot point position and the theoretical shot point position in the SPS file, calculate the shot point offset based on the offset along the actual position and the offset vertically, and determine the shot offset quality control accuracy of the target complex work area based on the shot point offset.

[0130] In detail, each module in the complex surface gun quality control accuracy improvement device 100 described in the embodiments of the present invention adopts the same technical means as the complex surface gun quality control accuracy improvement method described in Embodiment 1 and Embodiment 2, and can produce the same technical effect, which will not be repeated here.

[0131] Example 4

[0132] like Figure 7 As shown, this embodiment also provides a device, which may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for improving the quality control accuracy of gun deviation on complex surfaces.

[0133] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., executing programs to improve the accuracy of quality control for complex surface artillery fire) and calls data stored in the memory 11 to perform various functions of the electronic device and process data.

[0134] The memory 11 includes at least one type of readable storage medium, including flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of an electronic device, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device, such as a plug-in portable hard drive, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc. Furthermore, the memory 11 can include both internal and external storage units of the electronic device. The memory 11 can be used not only to store application software and various types of data installed on the electronic device, such as code for improving the accuracy of surface gun eccentricity control programs, but also to temporarily store data that has been output or will be output.

[0135] The communication bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. The bus is configured to enable communication between the memory 11 and at least one processor 10, etc.

[0136] The communication interface 13 is used for communication between the aforementioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, Bluetooth interface, etc.), typically used to establish communication connections between the electronic device and other electronic devices. The user interface may be a display, an input unit (such as a keyboard), or, optionally, a standard wired or wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device and to display a visual user interface.

[0137] The figure only shows an electronic device with components. Those skilled in the art will understand that the structure shown in the figure does not constitute a limitation on the electronic device and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0138] For example, although not shown, the device may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 via a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be elaborated further here.

[0139] It should be understood that the embodiments described are for illustrative purposes only and are not limited to this structure in the scope of the patent application.

[0140] The complex surface artillery deviation quality control accuracy improvement program stored in the memory 11 of the device is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0141] Static calibration processing is performed on single-shot targets in complex field areas.

[0142] The optimal inversion data range for the target complex work area is determined based on the surface structure of the target complex work area and the initial arrival times of both sides of the single shot in the field after static correction.

[0143] First arrivals are picked up for single shots in the field within the optimal inversion data range to obtain the target first arrivals, and the accuracy of the target first arrivals and the preset SPS file is detected.

[0144] When the accuracy meets the preset accuracy threshold, the actual shot point position is inverted based on the target arrival and the detector point information in the SPS file.

[0145] Calculate the deviation along the actual shot point position and the deviation vertically from the theoretical shot point position in the SPS file. Calculate the shot point offset based on the deviation along the actual position and the deviation vertically. Determine the shot deviation quality control accuracy of the complex target work area based on the shot point offset.

[0146] Specifically, the specific implementation method of the processor 10 for the above instructions can be referred to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, and will not be repeated here.

[0147] Furthermore, if the modules / units integrated into the device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The medium can be volatile or non-volatile. For example, the medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0148] Example 5

[0149] This embodiment provides a medium storing a computer program, which, when executed by a processor, implements the steps of the method for improving the quality control accuracy of complex surface gun deviation as described above.

[0150] This program code can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable device for implementing the process. Figure 1 Steps of a specified function in one or more processes.

[0151] The medium includes permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by computing devices.

[0152] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations according to this application. When the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0153] It should be understood that the terms used in this way can be interchanged where appropriate so that the embodiments of this application described herein can be implemented, for example, in a sequence other than those illustrated or described herein.

[0154] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0155] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0156] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0157] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0158] Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within the invention. No appended diagram markings in the claims should be construed as limiting the scope of the claims.

[0159] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, technologies, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0160] Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in a system claim may also be implemented by a single unit or device through software or hardware. The terms "first," "second," etc., are used to indicate names and do not indicate any specific order.

[0161] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for improving the quality control accuracy of gun deviation in complex surface terrain, characterized in that, The method includes: Static calibration processing is performed on single-shot targets in complex field areas. The optimal inversion data range for the target complex work area is determined based on the surface structure of the target complex work area and the initial arrival times of both sides of the single shot in the field after static correction. First arrivals are picked up for single shots in the field within the optimal inversion data range to obtain the target first arrivals, and the accuracy of the target first arrivals and the preset SPS file is detected. When the accuracy meets the preset accuracy threshold, the actual shot point position is inverted based on the target arrival and the detector point information in the SPS file. Calculate the deviation along the actual shot point position and the deviation vertically from the theoretical shot point position in the SPS file. Calculate the shot point offset based on the deviation along the actual position and the deviation vertically. Determine the shot deviation quality control accuracy of the complex target work area based on the shot point offset.

2. The method for improving the quality control accuracy of gun deviation on complex surface terrain as described in claim 1, characterized in that, The static correction process for single-shot targets in complex work areas includes: Obtain the single-shot time of a single gun in a complex field area; The static correction amount of the single shot in the field is determined based on the single shot time. The field gun is statically corrected based on the static correction value.

3. The method for improving the quality control accuracy of gun deviation on complex surface terrain as described in claim 1, characterized in that, The determination of the optimal inversion data range for the target complex work area based on the surface structure of the target complex work area and the initial arrival times of both sides of a single shot in the field after static correction includes: The line and road directions of the target complex work area are determined based on the surface structure. Select the range of line-received data within the single-shot record in the work area along the line direction; Select the range of track received data within the single-shot record in the work area along the track direction; The optimal inversion data range for the target complex work area is determined based on the line data receiving range and the channel data receiving range.

4. The method for improving the quality control accuracy of gun deviation on complex surface terrain as described in claim 1, characterized in that, The process of obtaining the target's initial arrival by picking up the first arrival of a single shot in the field within the optimal inversion data range includes: Obtain the target single-gun reception records corresponding to the single gun in the field within the optimal inversion data range; Extract the target's initial arrival from the target's single-shot reception record.

5. The method for improving the quality control accuracy of gun deviation on complex surface terrain as described in claim 1, characterized in that, The calculation of the along-offset and vertical-offset amounts between the actual shot point position and the theoretical shot point position in the SPS file includes: The following formulas are used to calculate the along-angle and vertical deviations of the actual shot point position from the theoretical shot point position in the SPS file: Among them, ERR x For the aforementioned bias, ERR y Let Z be the vertical deviation. x Z y ) represents the actual gun position, (L) x ,L y ) represents the theoretical shot point location.

6. The method for improving the quality control accuracy of gun deviation on complex surface terrain as described in claim 1, characterized in that, The calculation of the shot point offset based on the along-offset and the vertical-offset includes: The shot point offset is calculated using the following offset calculation formula based on the along-offset and the vertical-offset: Among them, ERR all ERR is the offset of the shot point. x For the aforementioned bias, ERR y Let be the vertical deviation.

7. The method for improving the quality control accuracy of gun deviation on complex surface terrain as described in claim 1, characterized in that, The step of retrieving the true shot location based on the target's initial arrival and the geophone information in the SPS file includes: Using a preset near offset distance, the actual shot location is inverted based on the target's initial arrival and the detector point information in the SPS file.

8. A device for improving the quality control accuracy of complex surface gun deflection, characterized in that, The device includes: The field single-shot static correction processing module is used to perform static correction processing on single shots in complex target areas. The optimal inversion data range determination module is used to determine the optimal inversion data range of the target complex work area based on the surface structure of the target complex work area and the initial arrival times of both sides of a single shot in the field after static correction. The first arrival acquisition module is used to acquire the first arrival of a single shot in the field within the optimal inversion data range, obtain the first arrival of the target, and detect the accuracy of the first arrival of the target and the preset SPS file. The true shot location inversion module is used to invert the true shot location based on the target's initial arrival and the detector point information in the SPS file when the accuracy meets a preset accuracy threshold. The shot point offset calculation module is used to calculate the deviation along the actual shot point position and the deviation vertically from the theoretical shot point position in the SPS file, calculate the shot point offset based on the deviation along the actual shot point position and the deviation vertically, and determine the shot offset quality control accuracy of the target complex work area based on the shot point offset.

9. An electronic device comprising: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method for improving the quality control accuracy of complex surface guns as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the method for improving the quality control accuracy of complex surface gun deviation as described in any one of claims 1 to 7.

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