CN113219533B - Pre-stack time migration velocity modeling method and device, medium and electronic equipment - Google Patents
Pre-stack time migration velocity modeling method and device, medium and electronic equipment Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/303—Analysis for determining velocity profiles or travel times
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/282—Application of seismic models, synthetic seismograms
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- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/50—Corrections or adjustments related to wave propagation
- G01V2210/51—Migration
- G01V2210/512—Pre-stack
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/622—Velocity, density or impedance
- G01V2210/6222—Velocity; travel time
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Abstract
The embodiment of the application discloses a prestack time migration speed modeling method, a prestack time migration speed modeling device, a prestack time migration speed modeling medium and electronic equipment. The method comprises the following steps: constructing a prestack depth migration velocity model according to the seismic data; deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data; and performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model. According to the technical scheme, the time domain speed model required by prestack time migration can be obtained based on the prestack depth migration speed model. The efficiency and the quality of pre-stack time migration seismic data processing are improved, and the method has higher speed analysis density and speed transverse stability and higher speed precision.
Description
Technical Field
The embodiment of the application relates to the technical field of oil and gas exploration and development, in particular to a prestack time migration velocity modeling method, a prestack time migration velocity modeling device, a prestack time migration velocity modeling medium and electronic equipment.
Background
In recent years, with the improvement of computing power and computing efficiency of computers, seismic data pre-stack imaging processing has become a conventional seismic data processing means. The seismic data pre-stack imaging process includes a pre-stack time migration and a pre-stack depth migration. The purpose of the pre-stack processing is to obtain better migration images and accurate migration velocity.
At present, modeling of prestack time migration velocity adopts a modeling method of manual pickup velocity. The method comprises the following specific steps: the vertical speed of the sparse grid is picked up manually, the reasonability of the speed is judged through the leveling degree of CRP (Common Reflection Point ) gathers, and then a speed model is built in a transverse interpolation mode to finish prestack time migration. And (3) carrying out the loop iteration until the CRP gather leveling degree after the offset reaches the requirement.
The modeling method of the manual pickup speed is adopted, the speed precision is low, and the imaging quality is greatly influenced by human factors.
Disclosure of Invention
The embodiment of the application provides a method, a device, a medium and electronic equipment for modeling prestack time migration velocity, which are based on a prestack depth migration velocity model to obtain a time domain velocity model required by prestack time migration. The efficiency and the quality of pre-stack time migration seismic data processing are improved, and the method has higher speed analysis density and speed transverse stability and higher speed precision.
In a first aspect, an embodiment of the present application provides a method for modeling a prestack time migration velocity, where the method includes:
constructing a prestack depth migration velocity model according to the seismic data;
deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data;
and performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model.
In a second aspect, an embodiment of the present application provides a device for modeling a prestack time migration velocity, including:
the pre-stack depth migration velocity model building module is used for building a pre-stack depth migration velocity model according to the seismic data;
the pre-stack time migration velocity model obtaining module is used for carrying out deep time conversion processing on the pre-stack depth migration velocity model to obtain a pre-stack time migration velocity model to be processed, and carrying out pre-stack time migration processing on a target line by utilizing the pre-stack time migration velocity model to be processed to obtain pre-stack time migration data;
and the target prestack time migration velocity model obtaining module is used for carrying out quality control on the prestack time migration data by utilizing a preset quality control rule to obtain a target prestack time migration velocity model.
In a third aspect, embodiments of the present application provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method for modeling prestack time migration velocity according to embodiments of the present application.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of being executed by the processor, where the processor executes the computer program to implement a method for modeling a prestack time offset speed according to an embodiment of the present application.
According to the technical scheme provided by the embodiment of the application, a prestack depth migration velocity model is constructed according to seismic data; deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data; and performing quality control on the prestack time migration velocity data by using a preset quality control rule to obtain a target prestack time migration velocity model. According to the technical scheme, the time domain speed model required by prestack time migration can be obtained based on the prestack depth migration speed model. The efficiency and the quality of pre-stack time migration seismic data processing are improved, and the method has higher speed analysis density and speed transverse stability and higher speed precision.
Drawings
FIG. 1 is a flow chart of a method for modeling prestack time migration velocity according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a pre-stack time migration velocity modeling process according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a pre-stack time migration velocity modeling apparatus according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present application.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings.
Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts steps as a sequential process, many of the steps may be implemented in parallel, concurrently, or with other steps. Furthermore, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example 1
Fig. 1 is a flowchart of a method for modeling a prestack time migration velocity according to an embodiment of the present application, where the present embodiment may be applied to a case of modeling a prestack time migration velocity of seismic data, where the method may be performed by a device for modeling a prestack time migration velocity according to the embodiment of the present application, where the device may be implemented by software and/or hardware, and may be integrated into an apparatus for modeling a prestack time migration velocity, such as an intelligent terminal.
As shown in fig. 1, the method for modeling the prestack time migration velocity includes:
s110, constructing a prestack depth migration velocity model according to seismic data;
in the scheme, the pre-stack imaging processing of the seismic data comprises pre-stack time migration and pre-stack depth migration, and better migration images and accurate migration speed can be obtained by performing the pre-stack processing of the seismic data. The prestack time migration can adapt to the situation of large longitudinal and transverse velocity change, and is suitable for migration imaging with a large inclination angle. The pre-stack time offset and amplitude preserving pre-stack time offset for accurate construction imaging. The prestack depth migration can restore the true structure of the subsurface stratum, can reflect the structure and the reservoir condition more truly, and is an effective method for solving the problem of deep water rugged submarine imaging.
Wherein a seismic acquisition instrument may be used to acquire velocity as a function of seismic reflection time as seismic data. For example, a detector may be used to obtain the logging speed. Where logging speed refers to the speed of seismic wave propagation measured directly in the well.
In this embodiment, the linear difference of each seismic data may be used as an imaging point of each grid node to construct a prestack depth migration velocity model. Wherein the prestack depth migration velocity model may be a three-dimensional data volume of the depth domain.
S120, performing deep time conversion processing on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and performing prestack time migration processing on a target line by using the prestack time migration velocity model to be processed to obtain prestack time migration data;
wherein the deep temporal transformation may be transforming the model from the depth domain to the time domain. Seismic vibrations are studied from a category of time, called the time domain. Seismic vibrations are studied from a category of depth, called depth domain.
In this embodiment, the target line may refer to one or more grid lines that constitute a three-dimensional data volume. The target line is predetermined when the model is built and is used for quality control of the speed model.
In the scheme, after the pre-stack time migration velocity model to be processed is obtained, the pre-stack time migration of the small three-dimensional data volume can be achieved. The small three-dimensional data volume may refer to a part of the three-dimensional data volume in the pre-stack time migration velocity model to be processed.
In this technical solution, optionally, after performing the deep time conversion processing on the prestack depth migration velocity model, the method further includes:
and processing the prestack depth migration velocity model after deep time conversion processing by using a velocity smoothing technology.
In this embodiment, the velocity smoothing technique may refer to a means of processing discretized seismic data. Preferably, the velocity smoothing technique may be a conventional technique such as gaussian smoothing technique, moving average technique, fourier smoothing technique or median filtering.
Specifically, after a prestack depth migration velocity model is built, deep-time conversion is carried out on the prestack depth migration velocity model, the prestack depth migration velocity model is converted from a depth domain to a time domain, and a velocity smoothing technology is utilized to process the converted model, so that a prestack time migration velocity model to be processed is obtained.
And S130, performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model.
In the scheme, the prestack time migration data can be corrected or subjected to migration processing through a preset quality control rule to obtain a target prestack time migration velocity model meeting the velocity precision requirement. Wherein the pre-stack time offset data may comprise a speed parameter.
In this technical scheme, optionally, quality control is performed on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model, including:
performing quality control on the prestack time migration data by using a migration profile comparison rule to obtain a target prestack time migration velocity model; and/or the number of the groups of groups,
performing quality control on the prestack time migration data by using a CRP gather analysis rule to obtain a target prestack time migration velocity model; and/or the number of the groups of groups,
performing quality control on the prestack time migration data by utilizing a migration profile and speed profile superposition analysis rule to obtain a target prestack time migration speed model; and/or the number of the groups of groups,
and performing quality control on the prestack time migration data by using a well shock calibration rule to obtain a target prestack time migration velocity model.
In this embodiment, a CRP gather may refer to a collection of seismic records reflected back from the same subsurface reflection point. The theoretical value of the measured depth obtained by measuring the same underground reflection point for a plurality of times is the same. The CRP gather analysis rules may refer to quality control of pre-stack time migration data by comparing whether the measured depths of the same subsurface reflection point in the pre-stack time migration data are the same.
In the scheme, the superposition analysis rule of the migration profile and the velocity profile can refer to that the velocity profile and the seismic profile data are combined and analyzed, so that the quality control of the pre-stack time migration data is realized.
Well shock calibration may refer to analyzing measured velocities acquired alongside a well based on well velocities. In theory, the measuring speeds of the areas with similar distances are similar, and a larger speed difference value indicates that certain deviation exists in the measurement.
By controlling the quality of the pre-stack time migration data, a target pre-stack time migration velocity model is obtained, the efficiency and quality of processing the pre-stack time migration seismic data are improved, and the velocity analysis density and the velocity transverse stability are higher, and the velocity precision is higher.
According to the technical scheme provided by the embodiment of the application, a prestack depth migration velocity model is constructed according to seismic data; deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data; and performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model. By executing the technical scheme, the time domain speed model required by prestack time migration can be obtained based on the prestack depth migration speed model. The efficiency and the quality of pre-stack time migration seismic data processing are improved, and the method has higher speed analysis density and speed transverse stability and higher speed precision.
Example two
Fig. 2 is a schematic diagram of a pre-stack time migration velocity modeling process according to a second embodiment of the present application, where the second embodiment is further optimized based on the first embodiment. The concrete optimization is as follows: constructing a prestack depth migration velocity model from the seismic data, comprising: constructing an initial pre-stack depth migration velocity model to be processed according to the seismic data, and performing pre-stack depth migration processing on a target line by using the initial pre-stack depth migration velocity model to be processed to obtain pre-stack depth migration data to be processed; and iteratively updating the initial pre-stack depth migration velocity model to be processed by using a grid tomography technology and the pre-stack depth migration data to be processed to obtain a pre-stack depth migration velocity model. Here, details which are not described in detail in this embodiment are detailed in embodiment one. As shown in fig. 2, the method comprises the steps of:
s210, constructing an initial prestack depth migration velocity model to be processed according to seismic data, and performing prestack depth migration processing on a target line by using the initial prestack depth migration velocity model to be processed to obtain prestack depth migration data to be processed;
in this embodiment, a linear interpolation of each seismic data may be used as an imaging point of each grid node to construct an initial prestack depth migration velocity model to be processed. And performing prestack depth migration processing on the target line by using the initial prestack depth migration velocity model to be processed to obtain prestack depth migration data to be processed.
In this technical solution, optionally, the seismic data includes a well velocity and/or a stacking velocity; wherein the superimposed velocity is determined from at least one measured velocity of the target survey point;
correspondingly, constructing a prestack depth migration velocity model according to the seismic data, including:
and constructing a prestack depth migration velocity model according to the well velocity and/or the superposition velocity.
Well velocity may be referred to herein as the velocity of seismic wave propagation measured directly in the well.
In this embodiment, if the three-dimensional region has a well, a pre-stack depth migration velocity model may be constructed from the well velocity; if the three-dimensional area has no well, a prestack depth migration velocity model can be constructed through superposition velocity.
By acquiring the velocities of all grid points, the method has higher velocity analysis density and velocity lateral stability compared with the conventional pre-stack time migration velocity modeling method for manually picking up sparse grids.
S220, iteratively updating the initial prestack depth migration velocity model to be processed by using a grid tomography technology and the prestack depth migration data to be processed to obtain a prestack depth migration velocity model.
In the scheme, the grid tomography technology can be continuous interface imaging, and has higher spatial resolution and fidelity. And correcting the initial pre-stack depth migration velocity model to be processed by using a grid tomography technology and pre-stack depth migration data to be processed, so that human interference factors of a traditional horizon picking velocity method are avoided, and the accuracy of depth domain velocity modeling is improved.
In this technical solution, optionally, performing iterative update on the initial prestack depth migration velocity model to be processed by using a grid tomography technology and the prestack depth migration data to be processed to obtain a prestack depth migration velocity model, including:
and iteratively updating the initial pre-stack depth migration model to be processed by using a grid tomography technology, pre-stack depth migration data to be processed and a preset model level processing priority to obtain a pre-stack depth migration velocity model.
In this embodiment, the preset model level processing priority may refer to sequentially performing processing from shallow to deep according to the formation structure.
By utilizing prestack depth migration velocity modeling, automatic updating iteration of prestack time migration velocity models is realized, and compared with a conventional manual pickup velocity modeling method, the working efficiency is higher.
S230, performing deep time conversion processing on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and performing prestack time migration processing on a target line by using the prestack time migration velocity model to be processed to obtain prestack time migration data;
s240, quality control is carried out on the prestack time migration data by using a preset quality control rule, and a target prestack time migration speed model is obtained.
In this technical solution, optionally, after performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model, the method further includes:
judging whether the target prestack time migration velocity model meets a preset velocity precision constraint condition or not;
if yes, the target prestack time migration velocity model is used as a final target prestack time migration velocity model;
if the target prestack time migration velocity model does not meet the preset velocity precision constraint condition, repeatedly using a grid tomography technology to iteratively update the prestack depth migration velocity model to be processed to obtain a prestack depth migration velocity model, and processing the prestack depth migration velocity model to obtain a target prestack time migration velocity model until the target prestack time migration velocity model meets the preset velocity precision constraint condition to obtain a final target prestack time migration velocity model.
It can be understood that after the target prestack time migration velocity model is obtained, judging the velocity precision of the target prestack time migration velocity model, and if the preset velocity precision constraint condition is met, taking the target prestack time migration velocity model as a final target prestack time migration velocity model; if the pre-stack depth migration velocity model does not meet the preset velocity precision constraint condition, repeatedly carrying out iterative updating on the pre-stack depth migration velocity model to be processed until the target pre-stack time migration velocity model meets the preset velocity precision constraint condition.
By utilizing prestack depth migration velocity modeling, automatic updating iteration of prestack time migration velocity models is realized, and compared with a conventional manual pickup velocity modeling method, the working efficiency is higher.
According to the technical scheme provided by the embodiment of the application, an initial prestack depth migration velocity model to be processed is constructed according to seismic data, and prestack depth migration processing is carried out on a target line by using the initial prestack depth migration velocity model to be processed, so that prestack depth migration data to be processed is obtained; carrying out iterative updating on an initial pre-stack depth migration velocity model to be processed by using a grid tomography technology and pre-stack depth migration data to be processed to obtain a pre-stack depth migration velocity model; deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data; and performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model. By executing the technical scheme, the time domain speed model required by prestack time migration can be obtained based on the prestack depth migration speed model. The efficiency and the quality of pre-stack time migration seismic data processing are improved, and the method has higher speed analysis density and speed transverse stability and higher speed precision.
Example III
Fig. 3 is a schematic structural diagram of a device for modeling a prestack time migration velocity according to a third embodiment of the present application, as shown in fig. 3, the device for modeling a prestack time migration velocity includes:
a pre-stack depth migration velocity model construction module 310, configured to construct a pre-stack depth migration velocity model according to the seismic data;
a pre-stack time migration velocity model to be processed obtaining module 320, configured to perform deep-time conversion processing on the pre-stack depth migration velocity model to obtain a pre-stack time migration velocity model to be processed, and perform pre-stack time migration processing on a target line by using the pre-stack time migration velocity model to be processed to obtain pre-stack time migration data;
the target prestack time migration velocity model obtaining module 330 is configured to perform quality control on the prestack time migration data by using a preset quality control rule, so as to obtain a target prestack time migration velocity model.
In this technical solution, optionally, the pre-stack depth migration velocity model construction module 310 includes:
the pre-stack depth migration velocity model obtaining unit is used for constructing an initial pre-stack depth migration velocity model to be processed according to the seismic data, and carrying out pre-stack depth migration processing on a target line by utilizing the initial pre-stack depth migration velocity model to be processed to obtain pre-stack depth migration data to be processed;
and the pre-stack depth migration velocity model obtaining unit is used for carrying out iterative updating on the initial pre-stack depth migration velocity model to be processed by utilizing a grid tomography technology and the pre-stack depth migration data to be processed to obtain a pre-stack depth migration velocity model.
In this technical solution, optionally, the pre-stack depth migration velocity model obtaining unit is specifically configured to:
and iteratively updating the initial pre-stack depth migration model to be processed by using a grid tomography technology, pre-stack depth migration data to be processed and a preset model level processing priority to obtain a pre-stack depth migration velocity model.
In this technical solution, optionally, the seismic data includes a well velocity and/or a stacking velocity; wherein the stacking speed is determined according to at least one measured speed of the target exploration point;
accordingly, the pre-stack depth migration velocity model construction module 310 is specifically configured to:
and constructing a prestack depth migration velocity model according to the well velocity and/or the superposition velocity.
In this technical solution, optionally, the apparatus further includes:
the target prestack time migration velocity model judging module is used for judging whether the target prestack time migration velocity model meets the preset velocity precision constraint condition or not;
the final target prestack time migration velocity model obtaining module is used for taking the target prestack time migration velocity model as a final target prestack time migration velocity model if the final target prestack time migration velocity model is met;
and the iteration updating module is used for repeatedly carrying out iteration updating on the initial prestack depth migration velocity model to be processed by using the grid tomography technology if the initial prestack depth migration velocity model does not meet the preset velocity precision constraint condition, obtaining a prestack depth migration velocity model, processing the prestack depth migration velocity model, obtaining a target prestack time migration velocity model until the target prestack time migration velocity model meets the preset velocity precision constraint condition, and obtaining a final target prestack time migration velocity model.
In this embodiment, optionally, the target prestack time migration velocity model obtaining module 330 is specifically configured to:
performing quality control on the prestack time migration data by using a migration profile comparison rule to obtain a target prestack time migration velocity model; and/or the number of the groups of groups,
performing quality control on the prestack time migration data by using a CRP gather analysis rule to obtain a target prestack time migration velocity model; and/or the number of the groups of groups,
performing quality control on the prestack time migration data by utilizing a migration profile and speed profile superposition analysis rule to obtain a target prestack time migration speed model; and/or the number of the groups of groups,
and performing quality control on the prestack time migration data by using a well shock calibration rule to obtain a target prestack time migration velocity model.
In this technical solution, optionally, the pre-stack time migration velocity model obtaining module 320 is specifically configured to:
and processing the prestack depth migration velocity model after deep time conversion processing by using a velocity smoothing technology.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Embodiments of the present application also provide a medium containing computer executable instructions for performing a method of pre-stack time-shift velocity modeling when executed by a computer processor, the method comprising:
constructing a prestack depth migration velocity model according to the seismic data;
deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data;
and performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model.
Media—any of various types of memory devices or storage devices. The term "medium" is intended to include: mounting media such as CD-ROM, floppy disk or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; nonvolatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The medium may also include other types of memory or combinations thereof. In addition, the medium may be located in a computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the Internet). The second computer system may provide program instructions to the computer for execution. The term "medium" may include two or more media that may reside in different locations (e.g., in different computer systems connected by a network). The medium may store program instructions (e.g., embodied as a computer program) executable by one or more processors.
Of course, the medium provided by the embodiment of the present application contains computer executable instructions, and the computer executable instructions are not limited to the operation of modeling the prestack time migration velocity, and may also perform the related operations in the method for modeling the prestack time migration velocity provided by any embodiment of the present application.
Example five
The embodiment of the application provides electronic equipment, and the electronic equipment can integrate the prestack time migration speed modeling device provided by the embodiment of the application. Fig. 4 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present application. As shown in fig. 4, the present embodiment provides an electronic device 400, which includes: one or more processors 420; a storage device 410, configured to store one or more programs that, when executed by the one or more processors 420, cause the one or more processors 420 to implement a method for modeling prestack time migration velocity provided by an embodiment of the present application, the method comprising:
constructing a prestack depth migration velocity model according to the seismic data;
deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data;
and performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model.
Of course, those skilled in the art will appreciate that the processor 420 also implements the solution of the pre-stack time migration velocity modeling method provided by any embodiment of the present application.
The electronic device 400 shown in fig. 4 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in fig. 4, the electronic device 400 includes a processor 420, a storage device 410, an input device 430, and an output device 440; the number of processors 420 in the electronic device may be one or more, one processor 420 being taken as an example in fig. 4; the processor 420, the storage device 410, the input device 430, and the output device 440 in the electronic device may be connected by a bus or other means, as exemplified by connection via a bus 450 in fig. 4.
The storage device 410 is used as a computer readable medium for storing a software program, a computer executable program, and a module unit, such as program instructions corresponding to the method for modeling a prestack time migration velocity in the embodiment of the present application.
The storage device 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the terminal, etc. In addition, the storage 410 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, storage device 410 may further include memory located remotely from processor 420, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 430 may be used to receive input numeric, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 440 may include an electronic device such as a display screen, a speaker, etc.
The electronic equipment provided by the embodiment of the application can obtain the time domain speed model required by prestack time migration based on the prestack depth migration speed model. The method improves the efficiency and quality of pre-stack time migration seismic data processing.
The prestack time migration velocity modeling device, the medium and the electronic equipment provided by the embodiment can execute the prestack time migration velocity modeling method provided by any embodiment of the application, and have the corresponding functional modules and beneficial effects of executing the method. Technical details not described in detail in the above embodiments may be found in the method for modeling prestack time migration velocity provided in any of the embodiments of the present application.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the application, which is set forth in the following claims.
Claims (9)
1. A method for modeling prestack time migration velocity, comprising:
constructing a prestack depth migration velocity model according to the seismic data;
deep time conversion processing is carried out on the prestack depth migration velocity model to obtain a prestack time migration velocity model to be processed, and prestack time migration processing is carried out on a target line by utilizing the prestack time migration velocity model to be processed to obtain prestack time migration data;
performing quality control on the prestack time migration data by using a preset quality control rule to obtain a target prestack time migration velocity model, wherein the method comprises the following steps:
performing quality control on the prestack time migration data by using a migration profile comparison rule to obtain a target prestack time migration velocity model; and/or performing quality control on the prestack time migration data by using a CRP gather analysis rule to obtain a target prestack time migration velocity model; and/or performing quality control on the prestack time migration data by utilizing a migration profile and speed profile superposition analysis rule to obtain a target prestack time migration speed model; and/or performing quality control on the prestack time migration data by using a well shock calibration rule to obtain a target prestack time migration velocity model.
2. The method of claim 1, wherein constructing a prestack depth migration velocity model from the seismic data comprises:
constructing an initial pre-stack depth migration velocity model to be processed according to the seismic data, and performing pre-stack depth migration processing on a target line by using the initial pre-stack depth migration velocity model to be processed to obtain pre-stack depth migration data to be processed;
and iteratively updating the initial pre-stack depth migration velocity model to be processed by using a grid tomography technology and the pre-stack depth migration data to be processed to obtain a pre-stack depth migration velocity model.
3. The method of claim 2, wherein iteratively updating the initial pre-stack depth migration velocity model to be processed using a grid tomography technique and the pre-stack depth migration data to be processed results in a pre-stack depth migration velocity model, comprising:
and iteratively updating the initial pre-stack depth migration model to be processed by using a grid tomography technology, pre-stack depth migration data to be processed and a preset model level processing priority to obtain a pre-stack depth migration velocity model.
4. The method of claim 1, wherein the seismic data comprises well velocity and/or stacking velocity; wherein the stacking speed is determined according to at least one measured speed of the target exploration point;
correspondingly, constructing a prestack depth migration velocity model according to the seismic data, including:
and constructing a prestack depth migration velocity model according to the well velocity and/or the superposition velocity.
5. The method of claim 1, wherein after quality controlling the prestack time migration data using a preset quality control rule to obtain a target prestack time migration velocity model, the method further comprises:
judging whether the target prestack time migration velocity model meets a preset velocity precision constraint condition or not;
if yes, the target prestack time migration velocity model is used as a final target prestack time migration velocity model;
if the target prestack time migration velocity model does not meet the preset velocity precision constraint condition, repeatedly using a grid tomography technology to iteratively update an initial prestack depth migration velocity model to be processed to obtain a prestack depth migration velocity model, and processing the prestack depth migration velocity model to obtain a target prestack time migration velocity model until the target prestack time migration velocity model meets the preset velocity precision constraint condition to obtain a final target prestack time migration velocity model.
6. The method of claim 1, wherein after performing the deep time conversion process on the prestack depth migration velocity model, the method further comprises:
and processing the prestack depth migration velocity model after deep time conversion processing by using a velocity smoothing technology.
7. A pre-stack time migration velocity modeling apparatus, comprising:
the pre-stack depth migration velocity model building module is used for building a pre-stack depth migration velocity model according to the seismic data;
the pre-stack time migration velocity model obtaining module is used for carrying out deep time conversion processing on the pre-stack depth migration velocity model to obtain a pre-stack time migration velocity model to be processed, and carrying out pre-stack time migration processing on a target line by utilizing the pre-stack time migration velocity model to be processed to obtain pre-stack time migration data;
the target prestack time migration velocity model obtaining module is used for carrying out quality control on the prestack time migration data by utilizing a preset quality control rule to obtain a target prestack time migration velocity model;
the target prestack time migration velocity model obtaining module is specifically used for: performing quality control on the prestack time migration data by using a migration profile comparison rule to obtain a target prestack time migration velocity model; and/or performing quality control on the prestack time migration data by using a CRP gather analysis rule to obtain a target prestack time migration velocity model; and/or performing quality control on the prestack time migration data by utilizing a migration profile and speed profile superposition analysis rule to obtain a target prestack time migration speed model; and/or performing quality control on the prestack time migration data by using a well shock calibration rule to obtain a target prestack time migration velocity model.
8. A computer readable medium, having stored thereon a computer program, which when executed by a processor implements a method of pre-stack time migration velocity modeling according to any of claims 1-6.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of modeling prestack time migration velocity of any one of claims 1-6 when the computer program is executed by the processor.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149588A (en) * | 2013-02-20 | 2013-06-12 | 中国石油天然气股份有限公司 | Method and system for calculating VTI (Velocity Time Integral) anisotropic parameter by utilizing well seismic calibration |
| CN103226210A (en) * | 2013-04-01 | 2013-07-31 | 中国石油天然气股份有限公司 | Entrapment implementation method |
| CN105388520A (en) * | 2015-10-22 | 2016-03-09 | 中国石油化工股份有限公司 | Seismic data pre-stack reverse time migration imaging method |
| CN108445538A (en) * | 2018-03-16 | 2018-08-24 | 中国科学院地质与地球物理研究所 | The method and system of Depth Domain layer Q model is established based on reflected seismic information |
| CN109917461A (en) * | 2019-03-04 | 2019-06-21 | 中国石油天然气集团有限公司 | A kind of method and device improving Jurassic stratum and basement rock image quality |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6865489B2 (en) * | 2002-10-02 | 2005-03-08 | Exxonmobil Upstream Research Company | Method for compensating mild lateral velocity variations in pre-stack time migration in the frequency-wave number domain |
-
2021
- 2021-05-18 CN CN202110540145.0A patent/CN113219533B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149588A (en) * | 2013-02-20 | 2013-06-12 | 中国石油天然气股份有限公司 | Method and system for calculating VTI (Velocity Time Integral) anisotropic parameter by utilizing well seismic calibration |
| CN103226210A (en) * | 2013-04-01 | 2013-07-31 | 中国石油天然气股份有限公司 | Entrapment implementation method |
| CN105388520A (en) * | 2015-10-22 | 2016-03-09 | 中国石油化工股份有限公司 | Seismic data pre-stack reverse time migration imaging method |
| CN108445538A (en) * | 2018-03-16 | 2018-08-24 | 中国科学院地质与地球物理研究所 | The method and system of Depth Domain layer Q model is established based on reflected seismic information |
| CN109917461A (en) * | 2019-03-04 | 2019-06-21 | 中国石油天然气集团有限公司 | A kind of method and device improving Jurassic stratum and basement rock image quality |
Non-Patent Citations (2)
| Title |
|---|
| 基于叠前深度偏移的三相融合速度分析与复杂圈闭落实;许安明等;《新疆石油地质》;第40卷(第1期);第122-126页 * |
| 复杂区低信噪比地震资料叠前深度偏移速度建模技术与应用;贺玉山等;《SPG/SEG 北京2016 国际地球物理会议》;第276-279页 * |
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