Converted wave high-resolution processing method and device, electronic equipment and medium

Abstract

The invention discloses a high-resolution processing method and device for converted waves, electronic equipment and a medium. The method comprises the steps that initial converted waves of seismic signals are obtained through radial component direction rotation operation on the seismic signals; carrying out noise reduction processing and consistent amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave; arranging the adjusted converted waves in a crossed manner, and dividing the arranged adjusted converted waves into a plurality of pieces of wide-azimuth loss offset OVT domain data; according to the method, multiple pieces of OVT domain data are subjected to noise attenuation through a filtering method, the multiple pieces of OVT domain data are processed according to a deconvolution processing method so as to improve the resolution ratio of the OVT domain data, initial converted waves are obtained, noise reduction processing and consistent amplitude compensation processing are carried out on the initial converted waves and partitioned initial converted waves, and the resolution ratio of the OVT domain data is improved. Therefore, the signal-to-noise ratio of the converted wave is improved, and the processing requirement of the high-resolution converted wave is met.

Description

Technical Field

[0001] The invention relates to the field of petroleum seismic exploration, and in particular to a high-resolution processing method, device, electronic equipment and medium for converted waves. Background Art

[0002] During the propagation of seismic signals underground, the high-frequency part of the seismic signal is easily affected by the absorption of the strata, which makes the collected high-frequency conversion wave energy weaker, the frequency band narrower and the noise heavier. After the high-frequency conversion wave is deconvolution processed, the signal-to-noise ratio of the seismic data is reduced due to the high-frequency noise, so the resolution of the conversion wave of the seismic data will also be reduced. That is, the conversion wave is more susceptible to the low signal-to-noise ratio during the high-resolution processing and cannot effectively improve the resolution.

[0003] In the prior art, pre-stack processing methods for improving the resolution of converted waves include: spherical diffusion compensation, abnormal energy attenuation, surface wave suppression, and linear coherent noise suppression. However, after the converted waves undergo these conversion wave noise reduction processes, the signal-to-noise ratio of the converted waves cannot be improved to the requirements for high-resolution conversion wave processing. Summary of the invention

[0004] The present invention provides a high-resolution processing method, device, electronic equipment and medium for converting waves, so as to improve the signal-to-noise ratio of converting waves and meet the processing requirements of high-resolution converting waves.

[0005] According to one aspect of the present invention, a high-resolution processing method for converted waves is provided, the method comprising:

[0006] Obtaining the initial conversion wave of the seismic signal by rotating the seismic signal in the radial component direction;

[0007] Performing noise reduction processing and consistency amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave;

[0008] Arranging the adjusted converted waves in a cross-shaped manner, and dividing the arranged adjusted converted waves into a plurality of wide azimuth vector offset (OVT) domain data;

[0009] The multiple OVT domain data are subjected to noise attenuation by a filtering method, and the multiple OVT domain data are processed according to a deconvolution processing method to improve the resolution of the OVT domain data.

[0010] According to another aspect of the present invention, there is provided a high-resolution processing device for converted waves, the device comprising:

[0011] An initial conversion wave acquisition module is used to obtain the initial conversion wave of the seismic signal by rotating the seismic signal in the radial component direction;

[0012] An adjusted converted wave acquisition module is used to perform noise reduction processing and consistency amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave;

[0013] A conversion wave division module, used for arranging the adjusted conversion waves in a cross manner, and dividing the arranged adjusted conversion waves into a plurality of wide azimuth vector offset (OVT) domain data;

[0014] The resolution improvement module is used to perform noise attenuation on the multiple OVT domain data by a filtering method, and process the multiple OVT domain data according to a deconvolution processing method to improve the resolution of the OVT domain data.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can perform the high-resolution processing method for converted waves according to any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the high-resolution processing method for converted waves described in any embodiment of the present invention when executed.

[0020] The technical solution of the embodiment of the present invention is to obtain the initial conversion wave of the seismic signal through the radial component direction rotation operation, suppress the noise of the initial conversion wave based on the noise suppression method, and perform consistent amplitude compensation processing to obtain the adjusted conversion wave, arrange the adjusted conversion wave in a cross-shaped manner, and divide the arranged adjusted conversion wave into multiple OVT domain data, perform noise attenuation on the multiple OVT domain data through the filtering method, and improve the resolution of the OVT domain data according to the deconvolution processing method. The method obtains the initial conversion wave, and performs noise reduction processing and consistent amplitude compensation processing on the initial conversion wave and the block initial conversion wave to improve the signal-to-noise ratio of the conversion wave to meet the processing requirements of high-resolution conversion waves.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a high-resolution processing method for converted waves provided in accordance with Embodiment 1 of the present invention;

[0024] Figure 2 is a flow chart of a high-resolution processing method for converted waves provided in Embodiment 2 of the present invention;

[0025] Figure 3 is a schematic diagram of adjusting a converted wave according to a high-resolution processing method of a converted wave provided in an embodiment of the present invention;

[0026] Figure 4 is a schematic diagram of OVT domain data of a high-resolution processing method of converted waves provided in an embodiment of the present invention;

[0027] Figure 5 is a schematic diagram of OVT domain data after random noise processing according to the high-resolution processing method of converted waves provided by an embodiment of the present invention;

[0028] Figure 6 It is a schematic diagram of converted waves reassembled after processing OVT domain data according to the high-resolution processing method of converted waves provided by an embodiment of the present invention;

[0029] Figure 7 is a schematic diagram of a converted wave with a widened frequency band according to a high-resolution processing method for converted waves provided by an embodiment of the present invention;

[0030] Figure 8 It is a cross-sectional schematic diagram of improving the resolution of target converted waves according to the high-resolution processing method of conventional converted waves;

[0031] Fig. 9 It is a schematic cross-sectional view of improving the resolution of a target converted wave having a frequency of 40-50 according to a conventional high-resolution processing method of the converted wave;

[0032] Fig.10 is a cross-sectional schematic diagram of improving the resolution of a target converted wave according to a high-resolution processing method for converted waves provided by an embodiment of the present invention;

[0033] Fig.11 It is a cross-sectional schematic diagram of improving the resolution of a target converted wave with a frequency of 40-50 according to a high-resolution processing method for converted waves provided by an embodiment of the present invention;

[0034] Fig.12 It is a schematic diagram of calibrating and evaluating the optimized converted wave stacking profile according to the high-resolution processing method of converted waves provided by an embodiment of the present invention;

[0035] Fig.13 is a schematic structural diagram of a high-resolution processing device for converted waves provided in accordance with a third embodiment of the present invention;

[0036] Fig.14 It is a schematic structural diagram of an electronic device for implementing the high-resolution processing method of converted waves according to an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0038] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0039] Embodiment 1

[0040] Figure 1 A flowchart of a high-resolution processing method for converted waves is provided for the first embodiment of the present invention. This embodiment is applicable to the case of improving the resolution of converted waves. The method can be executed by a high-resolution processing device for converted waves. The high-resolution processing device for converted waves can be implemented in the form of hardware and / or software. The high-resolution processing device for converted waves can be configured in any electronic device with a network communication function. Figure 1 As shown, the method may include:

[0041] S110, obtaining an initial conversion wave of the seismic signal by rotating the seismic signal in the radial component direction.

[0042] The seismic signal may be a signal containing X and Y converted wave shot gather data, and the initial converted wave may be a converted wave obtained by rotating the seismic signal in the radial component direction.

[0043] Optionally, the seismic signal is rotated in a radial component direction to obtain an initial conversion wave of the seismic signal; the radial component direction is a direction parallel to the direction of the seismic shot detection line.

[0044] Specifically, the seismic signal containing X and Y converted wave shot data is rotated in the radial component direction to obtain the R component, and energy compensation is performed on the R component that undergoes spherical diffusion attenuation energy to obtain the initial converted wave.

[0045] Exemplarily, the original three-component seismic signal is loaded into the observation system, and the three-component data of the seismic signal are separated. The specific separation process is: the X and Y conversion wave component shot data of the seismic signal are horizontally rotated to obtain R and T components, energy compensation is performed on the R component that undergoes spherical diffusion attenuation energy during the propagation process, and the processed R component is defined as the initial conversion wave.

[0046] S120: Perform noise reduction processing and consistency amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave.

[0047] Specifically, noise suppression is performed on the initial conversion wave based on abnormal noise attenuation, surface roll suppression and irregular linear noise suppression methods. The noise suppressed on the initial conversion wave includes: developed abnormal noise, surface roll, linear noise, etc. The initial conversion wave that has completed noise suppression is subjected to consistent amplitude compensation processing to obtain an adjusted conversion wave with consistent amplitude.

[0048] S130, arranging the adjusted converted waves in a cross manner, and dividing the arranged adjusted converted waves into a plurality of wide azimuth vector offset (OVT) domain data.

[0049] The cross-crossing method may be used to extract the adjusted converted wave into an arrangement in which the detection line and the shot line are perpendicular to each other.

[0050] Specifically, the adjusted conversion waves are rearranged according to the cross arrangement of the shot lines and the detection lines, and the rearranged adjusted conversion waves are divided into a plurality of small rectangles, each of which is a wide azimuth loss offset OVT domain data.

[0051] Exemplarily, the adjusted converted waves are rearranged in a cross arrangement of the shot lines and the detection lines, and divided into a plurality of wide azimuth vector offset OVT domain data. The purpose of this operation is: if the noise of the OVT domain data is suppressed, the signal can be protected more effectively than if the noise of the adjusted converted waves before the division is suppressed.

[0052] S140 , performing noise attenuation on the plurality of OVT domain data by using a filtering method, and processing the plurality of OVT domain data by using a deconvolution processing method to improve the resolution of the OVT domain data.

[0053] Specifically, the amplitudes of the plurality of OVT domain data acquired above are converted into a consistent one, the noise of the converted plurality of OVT domain data is attenuated by a filtering method, and the resolution of the plurality of OVT domain data is improved by a deconvolution processing method.

[0054] Exemplarily, the multiple OVT domain data acquired in S130 are subjected to a surface consistency residual amplitude compensation operation to acquire multiple OVT domain data with consistent amplitudes, and then the multiple OVT domain data are subjected to random noise attenuation processing through a cadzow filtering method to improve the signal-to-noise ratio of the multiple OVT domain data, further reduce the influence of random noise on subsequent OVT domain data frequency increase, and reconstruct the multiple OVT domain data into a conversion wave, which is deconvolution processed to improve the resolution.

[0055] The embodiment of the present application proposes a high-resolution processing method for conversion waves, which obtains the initial conversion wave of the seismic signal by rotating the operation in the radial component direction, suppresses the noise of the initial conversion wave based on the noise suppression method, and performs consistent amplitude compensation processing to obtain the adjusted conversion wave, arranges the adjusted conversion wave in a cross-shaped manner, and divides the arranged adjusted conversion wave into multiple OVT domain data, performs noise attenuation on the multiple OVT domain data by a filtering method, and improves the resolution of the OVT domain data according to the deconvolution processing method. The method obtains the initial conversion wave, and performs noise reduction processing and consistent amplitude compensation processing on the initial conversion wave and the block initial conversion wave to improve the signal-to-noise ratio of the conversion wave to achieve the processing requirements of high-resolution conversion waves.

[0056] Embodiment 2

[0057] Figure 2 This is a flow chart of a high-resolution processing method for converted waves provided in Embodiment 2 of the present invention. This embodiment explains in detail how to improve the resolution of converted waves based on the above embodiments. Figure 2 As shown, the method may include:

[0058] S210, obtaining an initial conversion wave of the seismic signal by rotating the seismic signal in the radial component direction.

[0059] Specifically, the seismic signal is separated into three components, and the converted wave X and Y components of the seismic signal are rotated in the radial direction to obtain the R component shot gather, which is called the initial converted wave.

[0060] S220: Perform noise reduction processing and consistency amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave.

[0061] Specifically, conventional spherical diffusion compensation is performed on the initial conversion wave in the propagation process to reduce the diffusion of energy, and the initial conversion wave is processed according to the noise reduction processing method and the consistent amplitude compensation processing method to obtain the initial conversion wave with reduced noise and consistent amplitude, which is named as the adjusted conversion wave, wherein the consistent amplitude compensation processing can be the surface consistent amplitude compensation processing, and the processed adjusted conversion wave is as follows Figure 3 shown.

[0062] As an optional but not limiting implementation, the initial converted wave is subjected to noise reduction processing and consistency amplitude compensation processing to obtain an adjusted converted wave, including steps A1-A2:

[0063] Step A1, suppressing the noise of the initial converted wave by abnormal noise attenuation, surface roll suppression noise suppression and regular linear noise suppression methods; the noise of the converted wave includes: abnormal noise, surface roll and linear noise.

[0064] Specifically, energy compensation is performed on the initial converted wave through conventional spherical diffusion compensation, and then noise suppression is performed on the energy-compensated initial converted wave, wherein the noise of the energy-compensated initial converted wave includes: abnormal noise, surface wave, and linear noise.

[0065] Step A2: The initial converted wave suppressed by noise is processed by a consistent amplitude compensation method to obtain an adjusted converted wave with consistent amplitude energy; the consistent amplitude compensation method includes: a surface consistent amplitude compensation method.

[0066] Specifically, the initial converted wave after noise suppression is processed by surface consistency amplitude compensation to obtain an adjusted converted wave with consistent amplitude energy.

[0067] S230, arranging the adjusted converted waves in a cross manner, and dividing the arranged adjusted converted waves into a plurality of wide azimuth vector offset (OVT) domain data.

[0068] Specifically, the adjustment conversion wave is arranged in a cross manner, wherein the cross arrangement is to extract the detection line and the shot line gather of the adjustment conversion wave, and arrange the detection line and the shot line gather in a perpendicular manner, and the adjustment conversion wave is divided into multiple small rectangles at equal distances between the shot line gather and the detection line gather, and each rectangle is a wide azimuth loss offset distance OVT domain data. Dividing the adjustment conversion wave into OVT domain data can better protect the valid signal in the adjustment conversion wave.

[0069] Exemplarily, the adjusted converted wave extracts the detection line and the shot line, rearranges the adjusted converted wave in a manner that the detection line is perpendicular to the shot line gather, divides the rearranged adjusted converted wave into a plurality of OVT domain data, performs correction processing on each OVT domain data, each OVT domain data is also a coverage profile, and the OVT domain data is as follows: Figure 4 shown.

[0070] S240 , performing surface consistent residual amplitude compensation processing on the plurality of OVT domain data to obtain a plurality of OVT domain data with consistent amplitude energy.

[0071] Specifically, the amplitudes of the plurality of OVT domain data are adjusted through the consistent residual amplitude compensation process, so that the amplitudes of the plurality of OVT domain data are consistent, which is beneficial to further attenuate random noise of the plurality of OVT domain data.

[0072] S250 , performing noise attenuation on the plurality of OVT domain data by using a filtering method, and processing the plurality of OVT domain data by using a deconvolution processing method to improve the resolution of the OVT domain data.

[0073] Specifically, the multiple OVT domain data after amplitude consistency processing are further processed by a filtering method, which can improve the signal-to-noise ratio and reduce random noise for the multiple OVT domain data, and then the multiple OVT domain data are recombined into a conversion wave, and the resolution of the conversion wave is improved by deconvolution processing.

[0074] As an optional but not limiting implementation, multiple OVT domain data are subjected to noise attenuation by a filtering method, and the multiple OVT domain data are processed according to a deconvolution processing method to improve the resolution of the OVT domain data, including steps B1-B2:

[0075] Step B1: Recombining a plurality of OVT domain data subjected to noise attenuation into a target conversion wave.

[0076] Specifically, multiple OVT domain data are processed for amplitude consistency and noise attenuation, and then re-sorted and combined into a target conversion wave, wherein the target conversion wave is a conversion wave that has been processed for noise suppression and amplitude consistency.

[0077] Exemplarily, a cadzow filtering method is used to perform random noise attenuation processing on multiple OVT domain data to improve the signal-to-noise ratio of multiple OVT domain data, and a random noise reduction method for multiple OVT domain data is used to reduce the impact of noise on the frequency increase processing of multiple OVT domain data. Figure 5 FIG. 4 shows a plurality of OVT domain data attenuated with random noise. After the plurality of OVT domain data completes the noise attenuation process, the plurality of OVT domain data are reassembled into a target conversion wave. The target conversion wave is as shown in FIG. Figure 6 shown.

[0078] Step B2: Process the target converted wave by a deconvolution method to obtain an optimized converted wave with optimized resolution.

[0079] Specifically, step B1 determines a target converted wave, improves the resolution of the target converted wave according to a deconvolution processing method, and obtains an optimized converted wave that optimizes the target converted wave.

[0080] For example, the robust deconvolution technology is used to perform surface consistent deconvolution on the target converted wave, which can improve the resolution of the target converted wave and effectively broaden the effective wave band of the target converted wave, thereby optimizing the converted wave. Figure 7 shown.

[0081] S260. Obtain a superposition profile of the target converted wave by means of frequency division quality control.

[0082] Specifically, the resolution of the target conversion wave is improved, and the superposition profile of the target conversion wave is obtained by frequency division quality control. The purpose of performing this step is to check the components of the effective waves in the broadened target conversion wave by frequency division scanning of the superposition profile with improved resolution, and to determine the influence of qualitative noise on the improvement of resolution. For details, refer to S270.

[0083] S270 , checking the effective wave components of the superposition profile of the target converted wave by means of frequency division scanning to determine whether the target converted wave has reduced noise and has high resolution.

[0084] Specifically, the superposition profile of the target converted wave is scanned in a frequency division scanning manner, the effective wave component of the superposition profile of the target converted wave is checked, and it is determined whether the target converted wave has reduced noise and has high resolution according to the effective wave component.

[0085] Exemplarily, the resolution of the target converted wave is improved according to conventional methods, and the superposition profile of the target converted wave is scanned according to the frequency division scanning method, such as Figure 8 As shown; according to the method provided in this embodiment, the resolution of the target converted wave is improved, and the superposition profile of the target converted wave is scanned according to the frequency division scanning method as shown Fig.10 As shown, it can be seen that the method provided according to this embodiment is more effective in improving the resolution of the target converted wave.

[0086] For example, according to conventional methods, the resolution of the target converted wave with a frequency of 40-50 is improved, and the superposition profile of the target converted wave is scanned in a frequency division scanning manner as follows: Fig. 9 According to the method provided in this embodiment, the resolution of the target conversion wave with a frequency of 40-50 is improved, and the superposition profile of the target conversion wave is scanned according to the frequency division scanning method. Fig.11As shown, it can be seen that the method provided by this embodiment is more effective in improving the resolution of the target converted wave with a frequency of 40-50.

[0087] S280. Use logging data to calibrate and evaluate the optimized converted wave stacking profile to determine the rationality of optimizing the resolution processing of the target converted wave.

[0088] Specifically, the optimized converted wave stacking profile with high resolution is calibrated and evaluated based on the well data, and it is determined that the processing of the target converted wave with optimized resolution is reasonable, which effectively broadens the frequency band of the converted wave data.

[0089] For example, the converted wave stacking profile after high-resolution processing is calibrated and evaluated using logging data to ensure the rationality of the target converted wave resolution processing, such as Fig.12 As shown in the figure, according to the stacked sections before and after the synthetic record calibration in the work area to improve the resolution, it can be seen that the well-seismic calibration effect of the seismic data after high-resolution processing of the target layer shown in the box is better, and it has a more obvious reservoir response.

[0090] The embodiment of the present application proposes a high-resolution processing method for conversion waves, which obtains the initial conversion wave of the seismic signal by rotating the operation in the radial component direction, suppresses the noise of the initial conversion wave based on the noise suppression method, and performs consistent amplitude compensation processing to obtain the adjusted conversion wave, arranges the adjusted conversion wave in a cross-shaped manner, and divides the arranged adjusted conversion wave into multiple OVT domain data, performs noise attenuation on the multiple OVT domain data by a filtering method, and improves the resolution of the OVT domain data according to the deconvolution processing method. The method obtains the initial conversion wave, and performs noise reduction processing and consistent amplitude compensation processing on the initial conversion wave and the block initial conversion wave to improve the signal-to-noise ratio of the conversion wave to achieve the processing requirements of high-resolution conversion waves.

[0091] Embodiment 3

[0092] Fig.13 This is a schematic diagram of the structure of a high-resolution processing device for converted waves provided in Embodiment 3 of the present invention. The device can execute the high-resolution processing method for converted waves provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. Fig.13 As shown, the device may include:

[0093] An initial converted wave acquisition module 310 is used to acquire an initial converted wave of a seismic signal by rotating the seismic signal in a radial component direction;

[0094] An adjusted converted wave acquisition module 320 is used to perform noise reduction processing and consistency amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave;

[0095] A conversion wave division module 330 is used to arrange the adjusted conversion waves in a cross manner, and divide the arranged adjusted conversion waves into a plurality of wide azimuth vector offset (OVT) domain data;

[0096] The resolution improving module 340 is used to perform noise attenuation on the plurality of OVT domain data by a filtering method, and process the plurality of OVT domain data according to a deconvolution processing method to improve the resolution of the OVT domain data.

[0097] Furthermore, the initial converted wave acquisition module 310 includes:

[0098] The initial conversion wave acquisition unit is used to rotate the seismic signal in the radial component direction to acquire the initial conversion wave of the seismic signal; the radial component direction is a direction parallel to the seismic shot detection line direction.

[0099] Further, adjusting the converted wave acquisition module 320 includes:

[0100] A noise suppression unit, used to suppress the noise of the initial converted wave by abnormal noise attenuation, surface roll suppression noise suppression and regular linear noise suppression methods; the noise of the converted wave includes: abnormal noise, surface roll, linear noise;

[0101] The amplitude energy adjustment unit is used to obtain an adjusted conversion wave with consistent amplitude energy by processing the initial conversion wave suppressed by noise through a consistent amplitude compensation processing method; the consistent amplitude compensation processing method includes: a surface consistent amplitude compensation processing method.

[0102] Furthermore, the device also includes:

[0103] The amplitude energy adjustment module is used to perform surface consistent residual amplitude compensation processing on multiple OVT domain data to obtain multiple OVT domain data with consistent amplitude energy.

[0104] Furthermore, the resolution improvement module 340 includes:

[0105] A target conversion wave composition unit, used for recombining a plurality of OVT domain data subjected to noise attenuation into a target conversion wave;

[0106] The optimized converted wave acquisition unit is used to process the target converted wave by a deconvolution processing method to acquire an optimized converted wave with optimized resolution.

[0107] Furthermore, the device also includes:

[0108] A stacking surface acquisition device is used to obtain the stacking profile of the target converted wave by means of frequency division quality control;

[0109] The effective wave inspection device is used to inspect the effective wave component of the superposition profile of the target converted wave by means of frequency division scanning to determine whether the target converted wave has reduced noise and has high resolution.

[0110] Furthermore, the device also includes:

[0111] The calibration and evaluation module is used to calibrate and evaluate the optimized converted wave stacking profile using logging data to determine the rationality of optimizing the resolution processing of the target converted wave.

[0112] The high-resolution processing device for converted waves provided in the embodiments of the present invention can execute the high-resolution processing method for converted waves provided in any of the above-mentioned embodiments of the present invention, and has the corresponding functions and beneficial effects of executing the high-resolution processing method for converted waves. For detailed processes, please refer to the relevant operations of the high-resolution processing method for converted waves in the above-mentioned embodiments.

[0113] Embodiment 4

[0114] Fig.14 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0115] like Fig.14 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0116] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0117] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a high-resolution processing method for converted waves.

[0118] In some embodiments, the high-resolution processing method of converted waves may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the high-resolution processing method of converted waves described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the high-resolution processing method of converted waves in any other appropriate manner (e.g., by means of firmware).

[0119] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0120] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0121] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0122] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0123] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0124] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0125] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0126] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-resolution processing method for converted waves, characterized in that: include: Obtaining the initial conversion wave of the seismic signal by rotating the seismic signal in the radial component direction; Performing noise reduction processing and consistency amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave; Arranging the adjusted converted waves in a cross-shaped manner, and dividing the arranged adjusted converted waves into a plurality of wide azimuth vector offset (OVT) domain data; The multiple OVT domain data are subjected to noise attenuation by a filtering method, and the multiple OVT domain data are processed according to a deconvolution processing method to improve the resolution of the OVT domain data.

2. The method according to claim 1, characterized in that The initial conversion wave of the seismic signal is obtained by rotating the seismic signal in the radial component direction, including: The seismic signal is rotated in a radial component direction to obtain an initial conversion wave of the seismic signal; the radial component direction is a direction parallel to the direction of the line connecting the seismic shot check points.

3. The method according to claim 1, characterized in that The initial conversion wave is subjected to noise reduction processing and consistency amplitude compensation processing to obtain an adjusted conversion wave, including: The noise of the initial converted wave is suppressed by abnormal noise attenuation, surface wave suppression noise suppression and regular linear noise suppression methods; the noise of the converted wave includes: abnormal noise, surface wave, linear noise; The initial converted wave suppressed by noise is processed by a consistent amplitude compensation method to obtain an adjusted converted wave with consistent amplitude energy; the consistent amplitude compensation method includes: a surface consistent amplitude compensation method.

4. The method according to claim 1, characterized in that: The adjusted converted waves are arranged in a cross manner, and the arranged adjusted converted waves are divided into a plurality of wide azimuth vector offset (OVT) domain data, and then the following is further included: The multiple OVT domain data are processed with surface consistent residual amplitude compensation to obtain multiple OVT domain data with consistent amplitude energy.

5. The method according to claim 1, characterized in that The plurality of OVT domain data are subjected to noise attenuation by a filtering method, and the plurality of OVT domain data are processed according to a deconvolution processing method to improve the resolution of the OVT domain data, including: Recombining multiple OVT domain data subjected to noise attenuation into a target conversion wave; The target converted wave is processed by a deconvolution processing method to obtain an optimized converted wave with optimized resolution.

6. The method according to claim 1, characterized in that The plurality of OVT domain data are subjected to noise attenuation by a filtering method, and the plurality of OVT domain data are processed according to a deconvolution processing method to improve the resolution of the OVT domain data, and then the method further includes: Obtain the superposition profile of the target converted wave by frequency division quality control; The effective wave components of the superposition profile of the target converted wave are checked by frequency division scanning to determine whether the target converted wave has reduced noise and has high resolution.

7. The method according to claim 6, characterized in that The effective wave components of the superposition profile of the target converted wave are checked by means of frequency division scanning to determine whether the target converted wave has reduced noise and has high resolution, and then the method further includes: The optimized converted wave stacking profile is calibrated and evaluated using logging data to determine the rationality of optimizing the resolution processing of the target converted wave.

8. A high-resolution processing device for converted waves, characterized in that include: An initial conversion wave acquisition module is used to obtain the initial conversion wave of the seismic signal by rotating the seismic signal in the radial component direction; An adjusted converted wave acquisition module is used to perform noise reduction processing and consistency amplitude compensation processing on the initial converted wave to obtain an adjusted converted wave; A conversion wave division module, used for arranging the adjusted conversion waves in a cross manner, and dividing the arranged adjusted conversion waves into a plurality of wide azimuth vector offset (OVT) domain data; The resolution improvement module is used to perform noise attenuation on the multiple OVT domain data by a filtering method, and process the multiple OVT domain data according to a deconvolution processing method to improve the resolution of the OVT domain data.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the high-resolution converted wave processing method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the high-resolution processing method for converted waves according to any one of claims 1 to 7 when the instructions are executed.

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