Three-dimensional variable-speed mapping method and device, equipment, storage medium and computer program

Abstract

The invention relates to the technical field of seismic data acquisition and processing, and discloses a three-dimensional variable-speed mapping method, device and equipment, a storage medium and a computer program.The three-dimensional variable-speed mapping method comprises the steps that underground geological data are obtained, model construction is conducted on the underground geological data, and a speed model is obtained; obtaining seismic data, and performing model parameter adjustment on the velocity model according to the seismic data to obtain a mixed velocity model; obtaining an offset time structure map, and performing time-depth relation conversion on the time structure map by using the mixed velocity model to obtain a depth domain structure map; performing result correction on the depth domain structural map according to seismic data to obtain a mixed velocity model structural map; according to the method, the three-dimensional speed modeling precision and the construction mapping precision can be improved, and particularly, the micro-amplitude construction mapping precision can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of seismic data interpretation, and in particular to a three-dimensional variable speed mapping method, device, equipment, storage medium and computer program. Background Art

[0002] Seismic data interpretation is a process of converting collected and computer-processed seismic data into geological information, that is, the process of inverting underground geological features from known actual observed seismic data. To obtain highly reliable seismic data interpretation, the first step is to obtain accurate structural maps. Specifically, ensuring the accuracy of structural maps mainly depends on obtaining accurate seismic velocity field data.

[0003] At present, accurate seismic velocity fields are usually obtained by using variable velocity mapping methods. The current research on variable velocity mapping technology is mainly concentrated in two-dimensional fields such as velocity field modeling and prestack migration imaging. However, in the application of three-dimensional fields, the model accuracy of the variable velocity mapping method is not enough to meet the needs of three-dimensional fine interpretation of structural mapping, which leads to the problem of low accuracy of three-dimensional structural fine interpretation. Summary of the invention

[0004] In view of the above problems, embodiments of the present invention provide a three-dimensional variable speed mapping method, apparatus, device, storage medium and computer program.

[0005] In a first aspect, an embodiment of the present invention provides a three-dimensional variable speed mapping method, comprising:

[0006] Acquiring underground geological data, constructing a model for the underground geological data, and obtaining a velocity model;

[0007] Acquire seismic data, and adjust model parameters of the velocity model according to the seismic data to obtain a hybrid velocity model;

[0008] Acquire a migration time structure map, and use the mixed velocity model to perform time-depth relationship conversion on the time structure map to obtain a depth domain structure map;

[0009] The depth domain structural map is corrected according to the seismic data to obtain a mixed velocity model structural map.

[0010] According to an embodiment of the present invention, constructing a model for the underground geological data to obtain a velocity model includes:

[0011] Generating a target layer seismic record fine calibration map according to the underground geological data;

[0012] Performing time-depth correlation picking on the target layer seismic record fine calibration map to obtain a time-depth relationship curve;

[0013] The time-depth relationship curve is interpolated using the Kriging interpolation method to obtain a velocity model of the time-depth curve.

[0014] According to an embodiment of the present invention, adjusting the model parameters of the velocity model according to the seismic data to obtain a hybrid velocity model includes:

[0015] Using the vertical seismic profile logging data in the seismic data to constrain the parameters of the velocity model, to obtain a vertical seismic profile constrained velocity model;

[0016] Using the layered data in the seismic data to iterate the vertical seismic profile constrained velocity model, to obtain a layered iterative velocity model;

[0017] The layered iterative velocity model is constrained by using the least squares tomography method according to the pre-stack depth migration layer velocity volume data in the seismic data to obtain a hybrid velocity model. According to an embodiment of the present invention,

[0018] According to an embodiment of the present invention, the method of using the vertical seismic profile logging data in the seismic data to constrain the parameters of the velocity model to obtain the vertical seismic profile constrained velocity model includes:

[0019] Establishing a fitting function according to the vertical seismic profile logging data and the velocity model;

[0020] Calculating the residual sum of squares of the fitting function and the vertical seismic profile logging data;

[0021] The constrained velocity model is calculated using the least squares method according to the residual square sum;

[0022] The above steps are performed for a preset number of times on the constrained velocity model to obtain a vertical seismic profile constrained velocity model.

[0023] According to an embodiment of the present invention, the method of updating and iterating the vertical seismic profile constrained velocity model using the layered data in the seismic data to obtain a layered iterative velocity model includes:

[0024] Acquire well list data, and calculate the seismic wave velocity of the well list data using the vertical seismic profile constraint model;

[0025] Performing time-depth conversion on the seismic wave data to obtain a simulated depth;

[0026] Calculating the error between the depth of the geological layer of the well list data and the simulated depth;

[0027] Wells with error values ​​less than a preset constant are selected as wells to be trained, and the vertical seismic profile constrained velocity model is updated using the errors corresponding to the wells to be trained to obtain a layered iterative velocity model.

[0028] According to an embodiment of the present invention, the step of converting the time-depth relationship of the time structure graph using the mixed velocity model to obtain the depth domain structure graph includes:

[0029] Calculating the corresponding speed on the time structure diagram according to the time structure diagram and the speed model;

[0030] Performing time-depth relationship conversion on the corresponding speed on the time structure diagram and the time structure diagram to obtain a depth value;

[0031] constructing a depth structure map according to the corresponding speed on the time structure map and the time structure map;

[0032] The geological stratigraphic data are acquired, and the geological stratigraphic data are used to perform geological stratigraphic correction on the depth domain structural map to obtain the depth domain structural map.

[0033] In a second aspect, an embodiment of the present invention provides a three-dimensional variable speed mapping device, characterized in that a model building module is used to obtain underground geological data, build a model for the underground geological data, and obtain a velocity model;

[0034] A model optimization module, used for acquiring seismic data, adjusting model parameters of the velocity model according to the seismic data, and obtaining a mixed velocity model;

[0035] A structural map building module is used to obtain a migration time structural map, and use the mixed velocity model to perform time-depth relationship conversion on the time structural map to obtain a depth domain structural map;

[0036] The structural map correction module is used to correct the depth domain structural map according to the seismic data to obtain a mixed velocity model structural map.

[0037] In a third aspect, an embodiment of the present invention provides an electronic device, comprising:

[0038] processor;

[0039] a memory for storing instructions executable by the processor;

[0040] Wherein, the processor is configured to execute the instructions to implement a three-dimensional speed-changing mapping method as described in the first aspect.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a three-dimensional variable speed mapping method as described in the first aspect.

[0042] In a fifth aspect, an embodiment of the present invention provides a computer program, which, when executed by a processor, implements the three-dimensional variable speed mapping method as described in the first aspect.

[0043] Compared with the prior art, the above technical solution of the present invention has the following beneficial effects:

[0044] The embodiment of the present invention uses vertical seismic profile logging data in seismic data to constrain the parameters of the velocity model to obtain a vertical seismic profile constrained velocity model, uses layered data in the seismic data to update and iterate the vertical seismic profile constrained velocity model to obtain a layered iterative velocity model, uses pre-stack depth migration layer velocity body data in the seismic data to constrain the layered iterative velocity model to obtain a hybrid velocity model, updates and constrains the model from three aspects: vertical seismic profile time-depth curve, geological layering and seismic horizon, and pre-stack depth migration layer velocity body, so that the accuracy of the hybrid velocity model finally obtained is further improved; calculates the corresponding velocity on the time structure map according to the time structure map and the velocity model, converts the time-depth relationship of the corresponding velocity and the time structure map to obtain a depth value; constructs a depth structure map according to the depth value, the corresponding velocity and the time structure map; obtains geological layer data, uses the geological layer data to perform geological layer correction on the depth domain structure map to obtain a depth domain structure map, and can construct a time-depth-velocity three-dimensional depth domain structure map, which is convenient for obtaining accurate seismic velocity field data, thereby meeting the needs of three-dimensional fine interpretation structure mapping. Therefore, the three-dimensional variable speed mapping method, device, electronic device, computer-readable storage medium and computer program proposed in the present invention can improve the accuracy of three-dimensional speed modeling and structural mapping, especially improve the accuracy of micro-structure mapping. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0046] Figure 1 The flowchart of the three-dimensional variable speed mapping method according to the first embodiment of the present invention is shown;

[0047] Figure 2 The synthetic seismic record calibration diagram of the W1 well in an embodiment of the present invention is shown;

[0048] Figure 3a The three-dimensional velocity overall model diagram of the first embodiment of the present invention is shown;

[0049] Figure 3b The velocity model diagram of the interior of the three-dimensional velocity body and the target layer segment according to the first embodiment of the present invention is shown;

[0050] Figure 4a The velocity profile of the well W1 and the well W2 obtained by the velocity model of the first embodiment of the present invention is shown;

[0051] Figure 4b The velocity profile of the well W1 and the well W2 obtained based on the vertical seismic profile constrained velocity model according to the first embodiment of the present invention is shown;

[0052] Figure 5a A vertical seismic profile constrained velocity model diagram of the first embodiment of the present invention is shown;

[0053] Figure 5b A diagram showing a hierarchical iteration speed model according to the first embodiment of the present invention is shown;

[0054] Figure 5c A velocity model diagram of a layer velocity constraint in the depth domain of the first embodiment of the present invention is shown;

[0055] Figure 6a The time-depth conversion structure diagram of the conventional velocity model of the target layer in a certain work area of ​​the first embodiment of the present invention is shown;

[0056] Figure 6b The time-depth conversion structure diagram of the hybrid velocity model according to the first embodiment of the present invention is shown;

[0057] Figure 7 The functional module diagram of the three-dimensional speed-changing imaging device according to the third embodiment of the present invention is shown;

[0058] Figure 8 A schematic diagram of the composition structure of an electronic device for implementing the three-dimensional variable speed imaging method according to the fifth embodiment of the present invention is shown. DETAILED DESCRIPTION

[0059] The present disclosure is further described below in conjunction with the embodiments shown in the accompanying drawings.

[0060] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0061] The present invention proposes a three-dimensional variable velocity mapping method based on model construction. Based on the synthetic record fine calibration map, combined with the least squares method, a three-dimensional velocity model is built to construct a three-dimensional structural fine interpretation map with higher accuracy. Compared with traditional methods, the three-dimensional variable velocity mapping method is more efficient and reduces human subjectivity, and has great potential and application prospects in seismic data interpretation applications.

[0062] Embodiment 1

[0063] like Figure 1 As shown, the present invention proposes a three-dimensional variable speed mapping method, comprising the following steps:

[0064] S1. Acquire underground geological data, construct a model for the underground geological data, and obtain a velocity model.

[0065] In the embodiment of the present invention, the underground geological data includes data consisting of sonic logging data, density logging data, pre-stack depth migration seismic data volume and structural interpretation migration time horizon data.

[0066] In the embodiment of the present invention, a three-dimensional velocity model is established by modeling the underground geological data. The velocity model obtained by velocity interpolation of the model can reduce data redundancy and improve the analysis and utilization efficiency of geological data.

[0067] In the embodiment of the present invention, the underground geological data is interpolated using the Kriging interpolation method to obtain a velocity model; since the Kriging interpolation method can adaptively adjust the interpolation result according to the density and distribution of the sample points, the velocity model obtained is more accurate and has higher precision.

[0068] In the embodiment of the present invention, the step of constructing a model for the underground geological data to obtain a velocity model includes:

[0069] Generating a target layer seismic record fine calibration map according to the underground geological data;

[0070] Performing time-depth correlation picking on the target layer seismic record fine calibration map to obtain a time-depth relationship curve;

[0071] The time-depth relationship curve is interpolated using the Kriging interpolation method to obtain a velocity model of the time-depth curve.

[0072] In the embodiment of the present invention, the grid method can be used to perform time-depth correlation picking to obtain a fine calibration map of seismic records. Since the grid method can accurately obtain full-wave field seismic records, the obtained fine calibration map of the target layer seismic records has higher accuracy.

[0073] In another optional embodiment of the present invention, the ray tracing method can also be used to perform time-depth correlation picking to obtain a fine calibration map of the seismic record. Since the ray tracing method only extracts part of the wave field information, thereby reducing the amount of synthesis calculation, the obtained fine calibration map of the seismic record of the target layer is more efficient.

[0074] In the embodiment of the present invention, a time-depth relationship curve can be obtained by using a software calculation method. Since the software and algorithm directly obtain the time-depth relationship curve based on the acoustic wave integral, the obtained time-depth curve has higher accuracy.

[0075] In another optional embodiment of the present invention, a time-depth relationship curve can also be obtained by using a comparison method. Since the comparison method is to compare the fine calibration map of the seismic record with the underground geological data to obtain the correspondence between the time axis and the depth range, and then obtain the time-depth relationship, the obtained time-depth relationship curve is more efficient.

[0076] In the embodiment of the present invention, in the step of obtaining a fine calibration map of seismic records with high well-seismic correlation of the target layer according to the underground geological data, the fine calibration map of seismic records includes a time axis, seismic waveform, epicenter distance, sound wave, and density data. Figure 2 As shown in the figure, it is a fine calibration map of seismic records generated from underground geological data of Well W1 in a certain work area.

[0077] In an embodiment of the present invention, by generating a fine calibration map of the target layer seismic record and then obtaining a time-depth relationship curve, a highly accurate time-depth curve can be quickly obtained, and a model can be obtained by interpolating the time-depth curve, which can improve the efficiency of constructing the velocity model.

[0078] S2. Acquire seismic data, and adjust model parameters of the velocity model according to the seismic data to obtain a hybrid velocity model.

[0079] In the embodiment of the present invention, the seismic data refers to vertical seismic profile logging data, logging layer data, pre-stack depth migration layer velocity volume data, seismic layer data, depth domain layer data and depth domain imaging structure.

[0080] In the embodiment of the present invention, the velocity model is updated from the perspective of seismic data, so that the final hybrid velocity model can be more accurate.

[0081] In the embodiment of the present invention, adjusting the model parameters of the velocity model according to the seismic data to obtain a hybrid velocity model includes:

[0082] Using the vertical seismic profile logging data in the seismic data to constrain the parameters of the velocity model, to obtain a vertical seismic profile constrained velocity model;

[0083] Using the layered data in the seismic data to iterate the vertical seismic profile constrained velocity model, to obtain a layered iterative velocity model;

[0084] The layered iterative velocity model is constrained by using the least squares tomography method according to the pre-stack depth migration layer velocity volume data in the seismic data to obtain a mixed velocity model.

[0085] In an embodiment of the present invention, the least squares method can be used to constrain the velocity model parameters to obtain a vertical seismic profile constrained velocity model. Since the least squares method does not add new features and can also solve the error between the vertical seismic profile logging time-depth and the time-depth relationship curve, the vertical seismic profile constrained velocity model is more accurate.

[0086] In the embodiment of the present invention, the final mixed velocity model includes three aspects: time, velocity and stratification. Referring to FIG3 , it is an example of a 3D mixed velocity model of a certain work area established by the method, wherein: Figure 3a is the three-dimensional velocity overall model, Figure 3b It is the velocity model of the interior of the three-dimensional velocity body and the target layer.

[0087] In an embodiment of the present invention, the vertical seismic profile logging data in the seismic data is used to constrain the parameters of the velocity model to obtain a vertical seismic profile constrained velocity model, including:

[0088] Establishing a fitting function according to the vertical seismic profile logging data and the velocity model;

[0089] Calculating the residual sum of squares of the fitting function and the vertical seismic profile logging data;

[0090] The constrained velocity model is calculated using the least squares method according to the residual square sum;

[0091] The above steps are performed for a preset number of times on the constrained velocity model to obtain a vertical seismic profile constrained velocity model.

[0092] In the embodiment of the present invention, by constraining the velocity model with the profile logging data to obtain a vertical seismic profile constrained velocity model, some abnormal data in the velocity model can be eliminated and the accuracy of the model can be improved. Referring to FIG4 , a velocity model based on the time-depth curve and a velocity model constrained by the vertical seismic profile time-depth curve are compared for a certain work area through wells W1 and W2, wherein: Figure 4a The velocity profile of the well W1 and well W2 obtained by the velocity model, Figure 4bThis is the velocity profile of Well W1 and Well W2 obtained based on the velocity model constrained by the vertical seismic profile. It can be seen from the figure that after the time-depth curve of the vertical seismic profile is constrained, the velocity model anomaly is eliminated and the accuracy is improved.

[0093] In the embodiment of the present invention, the method of updating and iterating the vertical seismic profile constrained velocity model using the layered data in the seismic data to obtain the layered iterative velocity model includes:

[0094] Acquire well list data, and calculate the seismic wave velocity of the well list data using the vertical seismic profile constraint model;

[0095] Performing time-depth conversion on the seismic wave data to obtain a simulated depth;

[0096] Calculating the error between the depth of the geological layer of the well list data and the simulated depth;

[0097] Wells with error values ​​less than a preset constant are selected as wells to be trained, and the vertical seismic profile constrained velocity model is updated using the errors corresponding to the wells to be trained to obtain a layered iterative velocity model.

[0098] In the embodiment of the present invention, the well list refers to a list of wells drilled for obtaining seismic data and underground geological data, and the wells in the well list refer to geological exploration wells drilled on the surface of the earth.

[0099] In another optional embodiment of the present invention, the method of using the least squares tomography method to constrain the layered iterative velocity model according to the pre-stack depth migration layer velocity volume data in the seismic data to obtain a hybrid velocity model includes:

[0100] Performing forward simulation using the layered iterative velocity model to obtain forward modeling data;

[0101] Subtract the forward modeling data from the prestack depth migration layer velocity volume data to obtain a residual;

[0102] The hierarchical iterative model is updated according to the residual using an inversion method to obtain a mixed velocity model.

[0103] In an embodiment of the present invention, the hierarchical iterative model can be updated by regularized inversion. Since regularized inversion can effectively control noise interference in the inversion process, when the hierarchical iterative model is updated by regularized inversion, the stability and reliability of updating the hierarchical iterative model can be improved.

[0104] In another optional embodiment of the present invention, the quasi-Newton method can also be used to update the hierarchical iterative model. Since the quasi-Newton method updates parameters through second-order derivatives and the calculation process is simple, when the quasi-Newton method is used to update the hierarchical iterative model, the efficiency of inversion updating of the hierarchical iterative model can be improved.

[0105] In the embodiment of the present invention, the layered iterative velocity model is constrained by the vertical seismic profile logging data, the layered data and the pre-stack depth migration layer velocity volume data to obtain a hybrid velocity model, which can gradually improve the accuracy of the model. Referring to FIG5 , it is a comparison diagram of the velocity profile of the wells in a certain work area, wherein: Figure 5a Constrain the velocity model for vertical seismic profiles, Figure 5b For the hierarchical iterative velocity model, Figure 5c It is a velocity model constrained by layer velocity in the depth domain. As can be seen from the figure, the accuracy of the hybrid velocity model can be improved by adjusting the model parameters of the velocity model using the seismic data.

[0106] In the embodiment of the present invention, the model parameters of the velocity model are adjusted according to the seismic data, and the velocity model can be updated and constrained from the perspective of the seismic data, thereby improving the accuracy of the hybrid model finally obtained.

[0107] S3. Acquire a time structure map, and use the mixed velocity model to perform time-depth relationship conversion on the time structure map to obtain a depth domain structure map.

[0108] In an embodiment of the present invention, by using the mixed velocity model to convert the time-depth relationship of the time structure map, the corresponding velocity of the corresponding time on the time structure map can be more accurately obtained, and then a more accurate depth value can be obtained through time-to-depth conversion, thereby improving the accuracy of the depth domain structure map.

[0109] In the embodiment of the present invention, the step of converting the time-depth relationship of the time structure graph using the mixed velocity model to obtain the depth domain structure graph includes:

[0110] Calculating the corresponding speed on the time structure diagram according to the time structure diagram and the speed model;

[0111] Performing time-depth relationship conversion on the corresponding speed on the time structure diagram and the time structure diagram to obtain a depth value;

[0112] constructing a depth structure map according to the corresponding speed on the time structure map and the time structure map;

[0113] The geological stratigraphic data are acquired, and the geological stratigraphic data are used to perform geological stratigraphic correction on the depth domain structural map to obtain the depth domain structural map.

[0114] In the embodiment of the present invention, the depth domain structural map obtained by using the mixed velocity model can improve the accuracy of three-dimensional structural interpretation, as shown in FIG6 . Figure 6a This is the time-depth conversion structure diagram of the conventional velocity model of the target layer in a certain work area. Figure 6b This is the time-depth conversion structure map of the mixed velocity model. As can be seen from the figure, by using the mixed velocity model to perform time-depth relationship conversion on the time structure map to obtain a depth domain structure map, the accuracy of the structure map can be improved.

[0115] In the embodiment of the present invention, by using the mixed velocity model to convert the time-depth relationship of the time structure map, the accuracy of the depth domain structure map can be improved, thereby meeting actual exploration and development needs.

[0116] S4. Correcting the depth domain structural map according to the seismic data to obtain a hybrid velocity model structural map.

[0117] In the embodiment of the present invention, the seismic data is used to correct the depth domain structural map, so as to improve the reliability of the hybrid velocity model structural map finally obtained.

[0118] In an embodiment of the present invention, the method of correcting the depth domain structural map according to the seismic data to obtain the hybrid velocity model structural map includes:

[0119] The seismic data and the time structure map are constructed by using the well-connected profile analysis method to obtain a time-depth structure map;

[0120] Projecting the time-depth structure map onto the depth domain structure map to obtain a projection result;

[0121] The projection result is matched and analyzed with the depth domain structure map to obtain a mixed velocity model structure map.

[0122] In the embodiment of the present invention, by correcting the results of the depth domain structural map, it is possible to achieve comparison and matching between the seismic data and the depth domain structural map, thereby obtaining data differences, verifying the reliability of the depth domain structural map, and finally obtaining an accurate and reliable hybrid velocity model structural map.

[0123] Embodiment 2

[0124] like Figure 7 As shown, this embodiment also provides a functional module diagram of a three-dimensional speed change mapping device.

[0125] The three-dimensional speed-changing mapping device 100 described in this embodiment can be installed in a device. According to the functions to be implemented, the three-dimensional speed-changing mapping device 100 may include a model building module 101, a model optimization module 102, a model optimization module 103 and a construction diagram building module 104. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by a device processor and can complete fixed functions, which are stored in the memory of the device.

[0126] In this embodiment, the functions of each module / unit are as follows:

[0127] The model building module 101 is used to acquire underground geological data, build a model for the underground geological data, and obtain a velocity model;

[0128] The model optimization module 102 is used to obtain seismic data, and adjust the model parameters of the velocity model according to the seismic data to obtain a hybrid velocity model;

[0129] The structural map construction module 103 is used to obtain a migration time structural map, and use the mixed velocity model to perform time-depth relationship conversion on the time structural map to obtain a depth domain structural map;

[0130] The structural map correction module 104 is used to correct the depth domain structural map according to the seismic data to obtain a hybrid velocity model structural map.

[0131] In detail, each module described in the three-dimensional speed-changing mapping device 100 described in the embodiment of the present invention adopts the same technical means as the three-dimensional speed-changing mapping method described in Example 1 and Example 2 when in use, and can produce the same technical effects, which will not be repeated here.

[0132] Embodiment 3

[0133] like Figure 8 As shown, this embodiment also provides a computer electronic 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 product recommendation program based on user portraits.

[0134] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (for example, executing a product recommendation program based on user portraits, etc.), and calls the data stored in the memory 11 to execute various functions of the electronic device and process data.

[0135] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory 11 may also include both an internal storage unit of the electronic device and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device, such as the code of a product recommendation program based on a user portrait, but can also be used to temporarily store data that has been output or is to be output.

[0136] The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0137] The communication interface 13 is used for communication between the above-mentioned 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, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0138] 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 in the figure, or combine certain components, or arrange the components differently.

[0139] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0140] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0141] The product recommendation program based on user portrait stored in the memory 11 of the electronic device is a combination of multiple instructions, and when running in the processor 10, it can achieve:

[0142] Acquiring underground geological data, constructing a model for the underground geological data, and obtaining a velocity model;

[0143] Acquire seismic data, and adjust model parameters of the velocity model according to the seismic data to obtain a hybrid velocity model;

[0144] Acquire a migration time structure map, and use the mixed velocity model to perform time-depth relationship conversion on the time structure map to obtain a depth domain structure map;

[0145] The depth domain structural map is corrected according to the seismic data to obtain a mixed velocity model structural map.

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

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

[0148] Embodiment 4

[0149] This embodiment provides a storage medium storing a computer program. When the computer program is executed by a processor, the steps of the three-dimensional variable speed mapping method described above are implemented.

[0150] These program codes can also be loaded onto a computer or other programmable data processing device so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions executed on the computer or other programmable device for implementing the process. Figure 1 The steps of a specified function in a process or multiple processes.

[0151] Storage media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer-readable instructions, data structures, modules of programs or other data. Examples of storage media can 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 technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0152] Embodiment 5

[0153] An embodiment of the present invention provides a computer program, which, when executed by a processor, implements the steps of the three-dimensional variable speed mapping method as described in the first aspect.

[0154] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer programs can also be stored in a computer-readable storage medium, which enables the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the computer program includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0155] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. When the terms "include" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or their combinations.

[0156] It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or described herein.

[0157] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0158] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0159] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0160] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0161] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0162] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0163] In addition, 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 stated in the system claim can also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0164] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A three-dimensional variable speed mapping method, characterized in that: The method comprises: Acquiring underground geological data, constructing a model for the underground geological data, and obtaining a velocity model; Acquire seismic data, and adjust model parameters of the velocity model according to the seismic data to obtain a hybrid velocity model; Acquire a migration time structure map, and use the mixed velocity model to perform time-depth relationship conversion on the time structure map to obtain a depth domain structure map; The depth domain structural map is corrected according to the seismic data to obtain a mixed velocity model structural map.

2. The three-dimensional variable speed mapping method according to claim 1, characterized in that: The step of constructing a model for the underground geological data to obtain a velocity model includes: Generating a target layer seismic record fine calibration map according to the underground geological data; Performing time-depth correlation picking on the target layer seismic record fine calibration map to obtain a time-depth relationship curve; The time-depth relationship curve is interpolated using the Kriging interpolation method to obtain a velocity model of the time-depth curve.

3. The three-dimensional variable speed mapping method according to claim 1, characterized in that: The step of adjusting the model parameters of the velocity model according to the seismic data to obtain a mixed velocity model includes: Using the vertical seismic profile logging data in the seismic data to constrain the parameters of the velocity model, to obtain a vertical seismic profile constrained velocity model; Using the layered data in the seismic data to iterate the vertical seismic profile constrained velocity model, to obtain a layered iterative velocity model; The layered iterative velocity model is constrained by using the least squares tomography method according to the pre-stack depth migration layer velocity volume data in the seismic data to obtain a mixed velocity model.

4. The three-dimensional variable speed mapping method according to claim 3, characterized in that: The method of using the vertical seismic profile logging data in the seismic data to constrain the parameters of the velocity model to obtain a vertical seismic profile constrained velocity model includes: Establishing a fitting function according to the vertical seismic profile logging data and the velocity model; Calculating the residual sum of squares of the fitting function and the vertical seismic profile logging data; The constrained velocity model is calculated using the least squares method according to the residual square sum; The above steps are performed for a preset number of times on the constrained velocity model to obtain a vertical seismic profile constrained velocity model.

5. The three-dimensional variable speed mapping method according to claim 3, characterized in that: The method of updating and iterating the vertical seismic profile constrained velocity model by using the layered data in the seismic data to obtain a layered iterative velocity model comprises: Acquire well list data, and calculate the seismic wave velocity of the well list data using the vertical seismic profile constraint model; Performing time-depth conversion on the seismic wave data to obtain a simulated depth; Calculating the error between the depth of the geological layer of the well list data and the simulated depth; Wells with error values ​​less than a preset constant are selected as wells to be trained, and the vertical seismic profile constrained velocity model is updated using the errors corresponding to the wells to be trained to obtain a layered iterative velocity model.

6. The three-dimensional variable speed mapping method according to claim 1, characterized in that: The step of converting the time-depth relationship of the time structure graph by using the mixed velocity model to obtain a depth domain structure graph includes: Calculating the corresponding speed on the time structure diagram according to the time structure diagram and the speed model; Performing time-depth relationship conversion on the corresponding speed on the time structure diagram and the time structure diagram to obtain a depth value; constructing a depth structure map according to the corresponding speed on the time structure map and the time structure map; The geological stratigraphic data are acquired, and the geological stratigraphic data are used to perform geological stratigraphic correction on the depth domain structural map to obtain the depth domain structural map.

7. A three-dimensional variable speed mapping device, characterized in that: The device comprises: A model building module is used to acquire underground geological data, build a model for the underground geological data, and obtain a velocity model; A model optimization module, used for acquiring seismic data, adjusting model parameters of the velocity model according to the seismic data, and obtaining a mixed velocity model; A structural map building module is used to obtain a migration time structural map, and use the mixed velocity model to perform time-depth relationship conversion on the time structural map to obtain a depth domain structural map; The structural map correction module is used to correct the depth domain structural map according to the seismic data to obtain a mixed velocity model structural map.

8. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the steps of the method for three-dimensional speed change mapping as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the steps of the method for three-dimensional variable speed mapping as claimed in any one of claims 1 to 6 are implemented.

10. A computer program, characterized in that When the program is executed by a processor, the steps of the three-dimensional variable speed mapping method according to any one of claims 1 to 6 are implemented.

Images