CN112180446A - Three-dimensional seismic data prestack gather stacking method and device - Google Patents
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Abstract
The invention provides a three-dimensional seismic data prestack gather stacking method and a device, wherein the method comprises the following steps: stacking a plurality of pre-stack gathers pre-selected from three-dimensional seismic data to generate stacked gathers; calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data; searching a superposition weight corresponding to each prestack gather in a preset superposition weight sequence according to the similar coherence coefficient; and stacking the pre-stack gather of the three-dimensional seismic data according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather. The invention can provide a method for realizing high-quality gather stacking in a weighted stacking mode so as to form better post-stack seismic data results.
Description
Technical Field
The invention relates to the field of oil exploration, in particular to the field of processing and explaining geophysical exploration data, and particularly relates to a three-dimensional seismic data prestack gather stacking method and device.
Background
In the geophysical exploration processing and interpretation process, three-dimensional seismic data are processed to form a pre-stack gather, and the pre-stack gather generally needs to be overlapped to form post-stack data which is delivered to interpretation software for use. The prestack gather generally has two types, namely a Common Middle Point (CMP) and a Common Reflection Point (CRP), each Point has a plurality of seismic channels, the conventional stacking method is to sequentially accumulate and calculate an average value of each sampling Point of the seismic channels, the stacking method can obtain high-quality post-stack seismic data for a gather with good data quality, but the stacking effect of the whole gather can be influenced by the data interference of some seismic channels for a gather with poor data quality.
Therefore, how to provide a method and a device for realizing high-precision stacking of a three-dimensional seismic data prestack gather is an urgent problem to be solved.
Disclosure of Invention
Aiming at the problems in the prior art, the invention can provide a method for accurately calculating the correlation coefficient of the seismic gather, finally realize the high-precision stacking of the gather and provide technical support for further detailed information explanation.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides a method for stacking three-dimensional seismic data prestack gathers, comprising:
stacking a plurality of pre-stack gathers pre-selected from three-dimensional seismic data to generate stacked gathers;
calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data;
searching a superposition weight corresponding to each prestack gather in a preset superposition weight sequence according to the similar coherence coefficient;
and stacking the pre-stack gather of the three-dimensional seismic data according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
In one embodiment, the method for stacking three-dimensional seismic data prestack gathers further comprises: a plurality of pre-stack gathers of three-dimensional seismic data pre-stack data are selected.
In one embodiment, the method for stacking three-dimensional seismic data prestack gathers further comprises: and generating a superposition weight sequence according to a preset superposition weight curve.
In an embodiment, the method for stacking three-dimensional seismic data prestack gathers further comprises: three-dimensional seismic data are acquired.
In one embodiment, the prestack gather includes: a common midpoint CMP gather in SEG-Y format and a common reflection point CRP gather in SEG-Y format.
In a second aspect, the present invention provides a three-dimensional seismic data prestack gather stacking apparatus, comprising:
a stacked gather generating unit for stacking a plurality of pre-stack gathers selected in advance from the three-dimensional seismic data pre-stack data to generate a stacked gather;
the similar coherence coefficient calculation unit is used for calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data;
the superposition weight searching unit is used for searching a superposition weight corresponding to each prestack gather in a preset superposition weight sequence according to the similar coherence coefficient;
and the pre-stack gather stacking unit is used for stacking the three-dimensional seismic data pre-stack gathers according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
In one embodiment, the three-dimensional seismic data prestack gather stacking apparatus further comprises: the pre-stack gather selecting unit is used for selecting a plurality of pre-stack gathers of the three-dimensional seismic data.
In one embodiment, the three-dimensional seismic data prestack gather stacking apparatus further comprises: and the superposition weight sequence generating unit is used for generating a superposition weight sequence according to a preset superposition weight curve.
In one embodiment, the three-dimensional seismic data prestack gather stacking apparatus further comprises: and the three-dimensional seismic data acquisition unit is used for acquiring three-dimensional seismic data.
In a third aspect, the present invention provides 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 steps of the method for stacking three-dimensional seismic data prestack gathers when executing the program.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a three-dimensional seismic data prestack gather stacking method.
From the above description, the present invention provides a method and apparatus for stacking three-dimensional seismic data prestack gathers, first reading a specific prestack gather; and simply stacking the pre-stack gathers, calculating each gather and the stacked gathers to calculate a similar coherence coefficient, wherein the coefficient can represent the data quality of the corresponding pre-stack gather, searching a corresponding stacking weight according to the similar coherence coefficient, and performing weighted stacking on the gathers according to the stacking weight to form high-quality post-stack data. The method solves the problem that the superposition effect of the whole gather is influenced by the interference of some seismic channels under the condition of poor seismic data quality. In summary, the present invention can provide a method for implementing high quality gather stacking in a weighted stacking manner to form a better post-stack seismic data result.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a first schematic flow chart of a three-dimensional seismic data prestack gather stacking method in an embodiment of the invention;
FIG. 2 is a second schematic flow chart of a three-dimensional seismic data prestack gather stacking method in an embodiment of the invention;
FIG. 3 is a third schematic flow chart of a three-dimensional seismic data prestack gather stacking method in an embodiment of the invention;
FIG. 4 is a fourth flowchart of a method for stacking three-dimensional seismic data prestack gathers, in accordance with an embodiment of the present invention;
FIG. 5 is a schematic flow chart of a three-dimensional seismic data prestack gather stacking method according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating a sequence of weights in an embodiment of the present invention;
FIG. 7 is a diagram illustrating a preliminary stacked gather after simple stacking in an exemplary embodiment of the present invention;
FIG. 8 is a plan view of similar correlation coefficients in an embodiment of the present invention;
FIG. 9 is a schematic diagram of a preliminary stacking gather formed by simple stacking of Y-strata in an embodiment of the present invention;
FIG. 10 is a schematic diagram of a target stacked gather of a Y-formation in an embodiment of the present invention;
FIG. 11 is a schematic structural diagram of a three-dimensional seismic data prestack gather stacking apparatus in an embodiment of the invention;
fig. 12 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a specific implementation mode of a three-dimensional seismic data prestack gather stacking method, and referring to fig. 1, the method specifically comprises the following steps:
step 100: and stacking a plurality of pre-stack gathers pre-selected from the three-dimensional seismic data to generate stacked gathers.
In specific implementation, step 100 may scan three-dimensional seismic data prestack data, and superimpose pre-stack gathers at pre-selected specific locations for preliminary simple superimposition to generate a superimposed gather.
Step 200: and calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data.
In specific implementation, the step 200 may generate the similar coherence coefficient according to the sample value, the time value, and the time sampling number corresponding to each prestack gather, and by combining the prestack gather generated in the step 100.
Step 300: and searching a superposition weight corresponding to each pre-stack gather in a preset superposition weight sequence according to the similar coherence coefficient.
Step 400: and stacking the pre-stack gather of the three-dimensional seismic data according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
In particular implementations, step 400 may stack the three-dimensional seismic data prestack gathers in conjunction with each of the prestack gathers based on the stacking weights generated in step 300.
From the above description, the present invention provides a method for stacking three-dimensional seismic data prestack gathers, first reading a specific prestack gather; and simply stacking the pre-stack gathers, calculating each gather and the stacked gathers to calculate a similar coherence coefficient, wherein the coefficient can represent the data quality of the corresponding pre-stack gather, searching a corresponding stacking weight according to the similar coherence coefficient, and performing weighted stacking on the gathers according to the stacking weight to form high-quality post-stack data. The method solves the problem that the superposition effect of the whole gather is influenced by the interference of some seismic channels under the condition of poor seismic data quality. In summary, the present invention can provide a method for implementing high quality gather stacking in a weighted stacking manner to form a better post-stack seismic data result.
In one embodiment, referring to fig. 2, the method for stacking three-dimensional seismic data prestack gathers further comprises:
step 500: a plurality of pre-stack gathers of three-dimensional seismic data pre-stack data are selected.
It will be appreciated that the selected plurality of prestack gathers have better data quality relative to the full three-dimensional seismic data prestack gathers.
In one embodiment, referring to fig. 3, the method for stacking three-dimensional seismic data prestack gathers further comprises:
step 600: and generating a superposition weight sequence according to a preset superposition weight curve.
In one embodiment, referring to fig. 4, the method for stacking three-dimensional seismic data prestack gathers further comprises:
step 700: three-dimensional seismic data are acquired.
It is appreciated that three-dimensional seismic exploration can result in not only seismic profiles, but also data volumes in three-dimensional space, as compared to two-dimensional seismic exploration. The density of information points of the three-dimensional data volume can reach 12.5 m × 12.5 m (namely, one data is acquired in an area of 12.5 m × 12.5 m), and the density of information points of the two-dimensional measuring line is generally 1 km × 1 km at most. Therefore, the three-dimensional seismic exploration has rich information quantity and high seismic section resolution, and underground ancient rivers, ancient lakes, ancient mountains, ancient karst landforms, faults and the like can be directly or indirectly reflected.
In one embodiment, the prestack gather includes: a common midpoint CMP gather in SEG-Y format and a common reflection point CRP gather in SEG-Y format.
It is understood that a CMP gather (Common Middle Point) refers to a new gather formed by extracting the tracks having a Common center Point from different shot gathers. CRP gather (Common Reflection Point) refers to a Reflection from the same Point in the ground each time data is observed.
To further illustrate the present solution, the present invention provides a specific application example of the three-dimensional seismic data prestack gather stacking method by taking SEG-Y format CMP as an example, and the specific application example specifically includes the following contents, and refer to fig. 5.
S0: three-dimensional seismic data are acquired.
S1: a plurality of pre-stack gathers of three-dimensional seismic data pre-stack data are selected.
S1, in practice, multiple pre-stack gathers may be selected preferentially according to the data quality of the pre-stack gathers.
S2: and generating a superposition weight sequence according to a preset superposition weight curve.
When the step S2 is implemented specifically, it may be implemented by defining a superimposed weight curve on the plane graph to form a superimposed weight sequence: as shown in fig. 6.
F＝(V，a)0，(V，a)1，……，(V，a)n
S3: and stacking a plurality of pre-stack gathers pre-selected from the three-dimensional seismic data to generate stacked gathers.
Step S3 can be embodied by the following formula:
and performing initial simple superposition on the selected gather to form superposed tracks, wherein the superposed track sample point value of each sampling index position is respectively calculated by using the formula, and the generated superposed gather is shown in fig. 7.
In the formula Si(t) is a sample point value corresponding to each seismic channel in the gather, i is a seismic channel index, n is a channel number, and Y is a channel numberi(t) is the overlay trace sample value, where t represents a certain time value.
S4: and calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data.
Step S3 can be embodied by the following formula:
where T is the time series index, T represents the number of time samples, ViFor each prestack gather and the superposed gather, the coherence coefficients are approximated.
S5: and searching the superposition weight corresponding to each pre-stack gather in a preset superposition weight sequence by the similar coherence coefficient.
S5, when implementing the method, the prestack gather may be sorted according to the similar coherence coefficients, and arranged from large to small according to the similar coherence coefficients to form a similar coherence coefficient plane graph, where each trace uses a histogram to display relative coherence coefficient values, the horizontal direction of the plane graph is the seismic traces arranged from large to small according to the similar coherence coefficients, the vertical direction is the value corresponding to the similar coherence coefficients, and the default stacking weight of all the seismic traces is 1, as shown in fig. 8.
S6: and stacking the pre-stack gather of the three-dimensional seismic data according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
And reading all the trace sets in sequence, searching the closest superposition weight in the weight sequence F according to the similar coherence coefficient, and calculating the superposition trace set according to the superposition weight.
FiThe superposition weight value found according to the seismic trace set and the missing correlation coefficient, and R (t) is the sample point value of the final superposition trace. The stacked gather formed by stacking the simple Y-strata is shown in fig. 9, and the stacked gather formed by stacking the simple Y-strata in step S5 is shown in fig. 10.
From the above description, the present invention provides a method for stacking three-dimensional seismic data prestack gathers, first reading a specific prestack gather; and simply stacking the pre-stack gathers, calculating each gather and the stacked gathers to calculate a similar coherence coefficient, wherein the coefficient can represent the data quality of the corresponding pre-stack gather, searching a corresponding stacking weight according to the similar coherence coefficient, and performing weighted stacking on the gathers according to the stacking weight to form high-quality post-stack data. The method solves the problem that the superposition effect of the whole gather is influenced by the interference of some seismic channels under the condition of poor seismic data quality. In summary, the present invention can provide a method for implementing high quality gather stacking in a weighted stacking manner to form a better post-stack seismic data result.
Based on the same inventive concept, the embodiment of the present application further provides a three-dimensional seismic data prestack gather stacking apparatus, which can be used to implement the method described in the above embodiments, such as the following embodiments. The principle of solving the problems of the three-dimensional seismic data prestack gather stacking device is similar to that of the three-dimensional seismic data prestack gather stacking method, so the implementation of the three-dimensional seismic data prestack gather stacking device can be implemented by the three-dimensional seismic data prestack gather stacking method, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
The embodiment of the invention provides a specific implementation mode of a three-dimensional seismic data prestack gather stacking device capable of realizing a three-dimensional seismic data prestack gather stacking method, and referring to fig. 11, the three-dimensional seismic data prestack gather stacking device specifically comprises the following contents:
a stacked gather generating unit 10 configured to stack a plurality of pre-stack gathers selected in advance from the three-dimensional seismic data pre-stack data to generate a stacked gather;
the similar coherence coefficient calculating unit 20 is configured to calculate a corresponding similar coherence coefficient according to the stacked gather and each prestack gather in the three-dimensional seismic data prestack data;
a superposition weight searching unit 30, configured to search a superposition weight corresponding to each prestack gather in a preset superposition weight sequence according to the similar coherence coefficient;
and the pre-stack gather stacking unit 40 is used for stacking the three-dimensional seismic data pre-stack gathers according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
In one embodiment, the three-dimensional seismic data prestack gather stacking apparatus further comprises: the pre-stack gather selecting unit is used for selecting a plurality of pre-stack gathers of the three-dimensional seismic data.
In one embodiment, the three-dimensional seismic data prestack gather stacking apparatus further comprises: and the superposition weight sequence generating unit is used for generating a superposition weight sequence according to a preset superposition weight curve.
In one embodiment, the three-dimensional seismic data prestack gather stacking apparatus further comprises: and the three-dimensional seismic data acquisition unit is used for acquiring three-dimensional seismic data.
As can be seen from the above description, the present invention provides a three-dimensional seismic data prestack gather stacking apparatus, which first reads a specific prestack gather; and simply stacking the pre-stack gathers, calculating each gather and the stacked gathers to calculate a similar coherence coefficient, wherein the coefficient can represent the data quality of the corresponding pre-stack gather, searching a corresponding stacking weight according to the similar coherence coefficient, and performing weighted stacking on the gathers according to the stacking weight to form high-quality post-stack data. The method solves the problem that the superposition effect of the whole gather is influenced by the interference of some seismic channels under the condition of poor seismic data quality. In summary, the present invention can provide a method for implementing high quality gather stacking in a weighted stacking manner to form a better post-stack seismic data result.
An embodiment of the present application further provides a specific implementation manner of an electronic device capable of implementing all steps in the three-dimensional seismic data prestack gather stacking method in the foregoing embodiment, and referring to fig. 12, the electronic device specifically includes the following contents:
a processor (processor)1201, a memory (memory)1202, a communication Interface 1203, and a bus 1204;
the processor 1201, the memory 1202 and the communication interface 1203 complete communication with each other through the bus 1204; the communication interface 1203 is configured to implement information transmission between related devices, such as a server-side device, a measurement device, and a client device.
The processor 1201 is configured to call the computer program in the memory 1202, and the processor executes the computer program to implement all the steps in the three-dimensional seismic data prestack gather stacking method in the above-described embodiment, for example, the processor executes the computer program to implement the following steps:
step 100: and stacking a plurality of pre-stack gathers pre-selected from the three-dimensional seismic data to generate stacked gathers.
Step 200: and calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data.
Step 300: and searching a superposition weight corresponding to each pre-stack gather in a preset superposition weight sequence according to the similar coherence coefficient.
Step 400: and stacking the pre-stack gather of the three-dimensional seismic data according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
As can be seen from the above description, in the electronic device in the embodiment of the present application, a specific prestack gather is read first; and simply stacking the pre-stack gathers, calculating each gather and the stacked gathers to calculate a similar coherence coefficient, wherein the coefficient can represent the data quality of the corresponding pre-stack gather, searching a corresponding stacking weight according to the similar coherence coefficient, and performing weighted stacking on the gathers according to the stacking weight to form high-quality post-stack data. The method solves the problem that the superposition effect of the whole gather is influenced by the interference of some seismic channels under the condition of poor seismic data quality. In summary, the present invention can provide a method for implementing high quality gather stacking in a weighted stacking manner to form a better post-stack seismic data result.
Embodiments of the present application further provide a computer-readable storage medium capable of implementing all steps in the three-dimensional seismic data prestack gather stacking method in the above embodiments, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all steps of the three-dimensional seismic data prestack gather stacking method in the above embodiments, for example, when the processor executes the computer program, the processor implements the following steps:
step 100: and stacking a plurality of pre-stack gathers pre-selected from the three-dimensional seismic data to generate stacked gathers.
Step 200: and calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data.
Step 300: and searching a superposition weight corresponding to each pre-stack gather in a preset superposition weight sequence according to the similar coherence coefficient.
Step 400: and stacking the pre-stack gather of the three-dimensional seismic data according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
As can be seen from the above description, the computer-readable storage medium in the embodiment of the present application first reads a specific prestack gather; and simply stacking the pre-stack gathers, calculating each gather and the stacked gathers to calculate a similar coherence coefficient, wherein the coefficient can represent the data quality of the corresponding pre-stack gather, searching a corresponding stacking weight according to the similar coherence coefficient, and performing weighted stacking on the gathers according to the stacking weight to form high-quality post-stack data. The method solves the problem that the superposition effect of the whole gather is influenced by the interference of some seismic channels under the condition of poor seismic data quality. In summary, the present invention can provide a method for implementing high quality gather stacking in a weighted stacking manner to form a better post-stack seismic data result.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, 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. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (11)
1. A three-dimensional seismic data prestack gather stacking method is characterized by comprising the following steps:
stacking a plurality of pre-stack gathers pre-selected from three-dimensional seismic data to generate stacked gathers;
calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data;
searching a superposition weight corresponding to each prestack gather in a preset superposition weight sequence according to the similar coherence coefficient;
and stacking the pre-stack gather of the three-dimensional seismic data according to each pre-stack gather and the stacking weight corresponding to the pre-stack gather.
2. The method of stacking three-dimensional seismic data prestack gathers of claim 1, further comprising:
a plurality of pre-stack gathers of three-dimensional seismic data pre-stack data are selected.
3. The method of stacking three-dimensional seismic data prestack gathers of claim 1, further comprising: and generating the superposition weight sequence according to a preset superposition weight curve.
4. The method of stacking three-dimensional seismic data prestack gathers of claim 1, further comprising: and acquiring the three-dimensional seismic data.
5. The method of stacking three-dimensional seismic data prestack gathers of claim 1, wherein the prestack gathers comprise: a common midpoint CMP gather in SEG-Y format and a common reflection point CRP gather in SEG-Y format.
6. A three-dimensional seismic data prestack gather stacking apparatus, comprising:
a stacked gather generating unit for stacking a plurality of pre-stack gathers selected in advance from the three-dimensional seismic data pre-stack data to generate a stacked gather;
the similar coherence coefficient calculation unit is used for calculating corresponding similar coherence coefficients according to the stacked gather and each pre-stack gather in the three-dimensional seismic data pre-stack data;
a superposition weight searching unit, configured to search a superposition weight corresponding to each prestack gather in a preset superposition weight sequence according to the similar coherence coefficient;
and the prestack gather stacking unit is used for stacking the three-dimensional seismic data prestack gathers according to each prestack gather and the stacking weight corresponding to the prestack gather.
7. The three-dimensional seismic data prestack gather stacking apparatus of claim 6, further comprising: the pre-stack gather selecting unit is used for selecting a plurality of pre-stack gathers of the three-dimensional seismic data.
8. The three-dimensional seismic data prestack gather stacking apparatus of claim 6, further comprising: and the superposition weight sequence generating unit is used for generating the superposition weight sequence according to a preset superposition weight curve.
9. The three-dimensional seismic data prestack gather stacking apparatus of claim 6, further comprising:
and the three-dimensional seismic data acquisition unit is used for acquiring the three-dimensional seismic data.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the three-dimensional seismic data prestack gather stacking method of any of claims 1 to 5.
11. A computer readable storage medium having stored thereon a computer program for implementing the steps of the three-dimensional seismic data prestack gather stacking method of any of claims 1 to 5 when executed by a processor.
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