CN106125137A - A kind of converted wave seismic data processing technique and device - Google Patents
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Abstract
The embodiment of the present application discloses a kind of converted wave seismic data processing technique and device, and described method includes: obtain converted wave geological data, and the compression ratio of the described converted waves data preset；Obtain the attribute information of described converted wave geological data；Described attribute information is updated according to described default compression ratio；Generate the Target Transformation ripple geological data corresponding with the attribute information after described renewal.The converted wave seismic data processing technique of the embodiment of the present application offer and device, can improve frequency and the speed of converted wave geological data, improves the using effect of converted wave geological data.
Description
Technical Field
The application relates to the technical field of seismic exploration data processing, in particular to a converted wave seismic data processing method and device.
Background
Converted wave seismic exploration starts in the eighties of the twentieth century and continues to the middle and later stages of the ninety decades of the twentieth century, with the development of three-component digital detectors, ten-thousand seismic instruments and mass data storage technologies and the progress of acquisition technologies, the acquisition cost of converted wave seismic data is continuously reduced, and converted wave seismic exploration technologies are increasingly widely applied and developed.
The converted wave is an outgoing upward seismic transverse wave which is converted from an incoming downward seismic longitudinal wave after the downward seismic longitudinal wave is reflected at the interface of the underground stratum. The velocity of the converted wave is not like the velocity of a pure longitudinal wave or a pure transverse wave, and conforms to a hyperbolic law. Longitudinal wave and converted wave seismic data interpretation based on the combined interpretation of the longitudinal wave and the converted wave seismic data plays more and more important roles in lithology identification, fluid detection and reservoir fracture description, and the premise of the combined interpretation of the longitudinal wave and the converted wave seismic data is to acquire converted waves with high frequency and high speed so as to form a better stacking section.
The existing methods for processing converted wave seismic data are many, and include: transition wave velocity analysis, transition wave correction, and the like.
The inventor finds that the existing converted wave seismic data processing methods are a series of processing methods directly carried out on the basis of originally acquired converted wave seismic data, and because the originally acquired converted wave seismic data do not conform to a hyperbolic rule, the processed converted wave seismic data still has the phenomena of low frequency and low speed, and the using effect of the converted wave seismic data is influenced.
Disclosure of Invention
The embodiment of the application aims to provide a converted wave seismic data processing method and a converted wave seismic data processing device so as to improve the frequency and the speed of the converted wave seismic data and improve the using effect of the converted wave seismic data.
In order to solve the above technical problem, an embodiment of the present application provides a converted wave seismic data processing method and apparatus, which are implemented as follows:
a converted wave seismic data processing method comprising:
acquiring converted wave seismic data and a preset compression ratio of the converted wave data;
acquiring attribute information of the converted wave seismic data;
updating the attribute information according to the preset compression ratio;
and generating target converted wave seismic data corresponding to the updated attribute information.
In a preferred embodiment, the range of the preset compression ratio includes: greater than or equal to 2.
In a preferred scheme, the attribute information of the converted wave seismic data is acquired from trace head data of the converted wave seismic data.
In a preferred embodiment, the attribute information of the converted wave seismic data includes one or more of the following: the trace head recording length of the converted wave seismic data; a sampling rate of converted wave seismic data; trace length recording of converted wave seismic data; a minimum time to convert the wave seismic data; maximum time of converted wave seismic data.
In a preferred embodiment, when the attribute information of the converted wave seismic data includes a trace header recording length of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: and dividing the trace head recording length of the converted wave seismic data by the preset compression ratio.
In a preferred embodiment, when the attribute information of the converted-wave seismic data includes a sampling rate of the converted-wave seismic data, the updating the attribute information according to a preset compression ratio includes: and dividing the sampling rate of the converted wave seismic data by the preset compression ratio.
In a preferred embodiment, when the attribute information of the converted wave seismic data includes a trace length record of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: and dividing the trace length record of the converted wave seismic data by the preset compression ratio.
In a preferred embodiment, when the attribute information of the converted wave seismic data includes a minimum time of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: dividing the minimum time of the converted wave seismic data by the preset compression ratio.
In a preferred embodiment, when the attribute information of the converted-wave seismic data includes a maximum time of the converted-wave seismic data, the updating the attribute information according to a preset compression ratio includes: dividing the maximum time of the converted wave seismic data by the preset compression ratio.
A converted wave seismic data processing apparatus comprising: the converted wave seismic data processing apparatus includes: the system comprises a data acquisition module, an attribute information updating module and a target converted wave seismic data generation module; wherein,
the data acquisition module is used for acquiring converted wave seismic data and a preset compression ratio of the converted wave data;
the attribute information acquisition module is used for acquiring the attribute information of the converted wave seismic data acquired in the data acquisition module; the attribute information includes one or more of: the method comprises the following steps of recording the trace head record length of converted wave seismic data, the sampling rate of the converted wave seismic data, the trace length record of the converted wave seismic data, the minimum time of the converted wave seismic data and the maximum time of the converted wave seismic data;
the attribute information updating module is used for updating the attribute information acquired in the attribute information acquiring module according to the preset compression ratio acquired by the data acquiring module;
and the target converted wave seismic data generation module is used for generating target converted wave seismic data corresponding to the attribute information updated by the attribute information updating module.
In a preferred embodiment, when the attribute information of the converted wave seismic data includes a sampling rate of the converted wave seismic data, the attribute information updating module is configured to divide the sampling rate of the converted wave seismic data by the preset compression ratio; or,
when the attribute information of the converted wave seismic data comprises the trace length record of the converted wave seismic data, the attribute information updating module is used for dividing the trace length record of the converted wave seismic data by the preset compression ratio; or,
when the attribute information of the converted wave seismic data comprises the minimum time of the converted wave seismic data, the attribute information updating module is used for dividing the minimum time of the converted wave seismic data by the preset compression ratio; or,
when the attribute information of the converted wave seismic data comprises the maximum time of the converted wave seismic data, the attribute information updating module is used for dividing the maximum time of the converted wave seismic data by the preset compression ratio; or,
and when the attribute information of the converted wave seismic data comprises the trace head recording length of the converted wave seismic data, the attribute information updating module is used for dividing the trace head recording length of the converted wave seismic data by the preset compression ratio.
According to the technical scheme provided by the embodiment of the application, the converted wave seismic data processing method and the converted wave seismic data processing device provided by the embodiment of the application firstly preset a compression ratio, carry out scale compression on the attribute information of the obtained original converted wave seismic data by using the compression ratio, and enable the processed converted wave seismic data to accord with a hyperbolic characteristic in a larger range through the scale compression, so that the frequency characteristic and the velocity characteristic of the converted wave seismic data are improved, and the using effect of the converted wave seismic data is improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 is a flow chart of one embodiment of a converted wave seismic data processing method of the present application;
FIG. 2 is a block diagram of one embodiment of a converted wave seismic data processing apparatus of the present application.
Detailed Description
The embodiment of the application provides a converted wave seismic data processing method and device.
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
FIG. 1 is a flow chart of one embodiment of a converted wave seismic data processing method of the present application. As shown in fig. 1, the converted wave seismic data processing method may include:
s101: and acquiring converted wave seismic data and a preset compression ratio of the converted wave data.
Converted wave seismic data may be acquired, which may include trace header data. The converted wave seismic data may also include an amplitude of the converted wave seismic data.
A preset compression ratio of the converted wave data may also be obtained.
The preset compression ratio may have a value range including: greater than or equal to 2.
Further, the preset compression ratio may have a value range of: 2 to 10. In this range, the fidelity of the seismic data can be ensured. For example, the compression ratio may take on a value of 2.5, 3 or 5.
S102: and acquiring attribute information of the converted wave seismic data.
Attribute information of the converted-wave seismic data may be acquired. The attribute information of the converted wave seismic data may be acquired from the trace head data of the converted wave seismic data.
The attribute information of the converted wave seismic data may include one or more of:
the trace head recording length of the converted wave seismic data;
a sampling rate of converted wave seismic data;
trace length recording of converted wave seismic data;
a minimum time to convert the wave seismic data;
maximum time of converted wave seismic data.
The trace header recording length of the converted wave seismic data can be used for describing the trace header time length of the converted wave seismic data. For example, it may be 12 seconds.
The sampling rate of the converted wave seismic data may be used to describe a sampling time interval of the converted wave seismic data. For example, it may be 2 milliseconds.
The trace length record of the converted wave seismic data can record length information except the trace head length in the converted wave seismic data. For example, it may be 12 seconds.
The minimum time of the converted wave seismic data may be used to record a start time value of the converted wave seismic data.
The maximum time of the converted-wave seismic data may be used to record an end time value of the converted-wave seismic data.
S103: and updating the attribute information according to the preset compression ratio.
The attribute information may be updated according to the preset compression ratio. Specifically, the method comprises the following steps:
when the attribute information of the converted wave seismic data includes a trace header recording length of the converted wave seismic data, the updating the attribute information according to a preset compression ratio may include: and dividing the trace head recording length of the converted wave seismic data by the preset compression ratio.
When the attribute information of the converted-wave seismic data includes a sampling rate of the converted-wave seismic data, the updating the attribute information according to a preset compression ratio may include: and dividing the sampling rate of the converted wave seismic data by the preset compression ratio.
When the attribute information of the converted-wave seismic data includes a trace length record of the converted-wave seismic data, the updating the attribute information according to a preset compression ratio may include: and dividing the trace length record of the converted wave seismic data by the preset compression ratio.
When the attribute information of the converted-wave seismic data includes a minimum time of the converted-wave seismic data, the updating the attribute information according to a preset compression ratio may include: dividing the minimum time of the converted wave seismic data by the preset compression ratio.
When the attribute information of the converted-wave seismic data includes the maximum time of the converted-wave seismic data, the updating the attribute information according to the preset compression ratio may include: dividing the maximum time of the converted wave seismic data by the preset compression ratio.
The updating the attribute information may include: and recording the updated attribute information into the trace head data of the converted wave seismic data.
S104: and generating target converted wave seismic data corresponding to the updated attribute information.
Target converted wave seismic data corresponding to the updated attribute information may be generated. The target converted wave seismic data may be provided with the updated attribute information. The target converted wave seismic data may conform to hyperbolic characteristics over a greater range.
The converted wave seismic data processing method disclosed in the above embodiment includes first presetting a compression ratio, performing scale compression on attribute information of the acquired original converted wave seismic data by using the compression ratio, and enabling the processed converted wave seismic data to conform to a hyperbolic characteristic in a larger range through the scale compression, so that the frequency characteristic and the velocity characteristic of the converted wave seismic data are improved, and the use effect of the converted wave seismic data is improved.
FIG. 2 is a block diagram of one embodiment of a converted wave seismic data processing apparatus of the present application. As shown in fig. 2, the converted wave seismic data processing apparatus may include: the seismic data acquisition system comprises a data acquisition module 201, an attribute information acquisition module 202, an attribute information updating module 203 and a target converted wave seismic data generation module 204. Wherein,
the data acquiring module 201 may be configured to acquire converted wave seismic data and a preset compression ratio of the converted wave data.
The attribute information acquiring module 202 may be configured to acquire attribute information of the converted wave seismic data acquired in the data acquiring module 201. The attribute information may include one or more of: the method comprises the steps of recording the trace head record length of the converted wave seismic data, the sampling rate of the converted wave seismic data, recording the trace length of the converted wave seismic data, the minimum time of the converted wave seismic data and the maximum time of the converted wave seismic data.
The attribute information updating module 203 may be configured to update the attribute information acquired in the attribute information acquiring module 202 according to a preset compression ratio acquired by the data acquiring module 201.
When the attribute information of the converted-wave seismic data includes the trace header recording length of the converted-wave seismic data, the attribute information updating module 203 may be configured to divide the trace header recording length of the converted-wave seismic data by the preset compression ratio. In particular, the amount of the solvent to be used,
when the attribute information of the converted-wave seismic data includes a sampling rate of the converted-wave seismic data, the attribute information updating module 203 may be configured to divide the sampling rate of the converted-wave seismic data by the preset compression ratio.
When the attribute information of the converted-wave seismic data includes a trace length record of the converted-wave seismic data, the attribute information updating module 203 may be configured to divide the trace length record of the converted-wave seismic data by the preset compression ratio.
When the attribute information of the converted-wave seismic data includes the minimum time of the converted-wave seismic data, the attribute information updating module 203 may be configured to divide the minimum time of the converted-wave seismic data by the preset compression ratio.
When the attribute information of the converted-wave seismic data includes the maximum time of the converted-wave seismic data, the attribute information updating module 203 may be configured to divide the maximum time of the converted-wave seismic data by the preset compression ratio.
The target converted wave seismic data generation module 204 may be configured to generate target converted wave seismic data corresponding to the attribute information updated by the attribute information updating module 203.
The converted wave seismic data processing device disclosed by the embodiment corresponds to the converted wave seismic data processing method, and the method and the device can achieve the technical effects of the method and the device.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate a dedicated integrated circuit chip 2. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most popular applications. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory.
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 thus be considered 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 systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. With this understanding in mind, the present solution, or portions thereof that contribute to the prior art, may be embodied in the form of a software product, which in a typical configuration includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The computer software product may include instructions for causing a computing device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the various embodiments or portions of embodiments of the present application. The computer software product may be stored in a memory, which 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, computer readable media does not include transitory computer readable media (transient media), such as modulated data signals and carrier waves.
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.
The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The application 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 application 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.
While the present application has been described with examples, those of ordinary skill in the art will appreciate that there are numerous variations and permutations of the present application without departing from the spirit of the application, and it is intended that the appended claims encompass such variations and permutations without departing from the spirit of the application.
Claims (11)
1. A converted wave seismic data processing method, comprising:
acquiring converted wave seismic data and a preset compression ratio of the converted wave data;
acquiring attribute information of the converted wave seismic data;
updating the attribute information according to the preset compression ratio;
and generating target converted wave seismic data corresponding to the updated attribute information.
2. The converted wave seismic data processing method of claim 1, wherein the range of values of the preset compression ratio comprises: greater than or equal to 2.
3. The converted wave seismic data processing method of claim 1, wherein the attribute information of the converted wave seismic data is obtained from trace-head data of the converted wave seismic data.
4. The converted wave seismic data processing method of claim 1, wherein the converted wave seismic data attribute information includes one or more of:
the trace head recording length of the converted wave seismic data;
a sampling rate of converted wave seismic data;
trace length recording of converted wave seismic data;
a minimum time to convert the wave seismic data;
maximum time of converted wave seismic data.
5. The converted wave seismic data processing method of claim 4, wherein when the attribute information of the converted wave seismic data includes a trace header recording length of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: and dividing the trace head recording length of the converted wave seismic data by the preset compression ratio.
6. The converted wave seismic data processing method of claim 4, wherein when the attribute information of the converted wave seismic data includes a sampling rate of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: and dividing the sampling rate of the converted wave seismic data by the preset compression ratio.
7. The converted wave seismic data processing method of claim 4, wherein when the attribute information of the converted wave seismic data includes a trace length record of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: and dividing the trace length record of the converted wave seismic data by the preset compression ratio.
8. The converted wave seismic data processing method of claim 4, wherein when the attribute information of the converted wave seismic data includes a minimum time of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: dividing the minimum time of the converted wave seismic data by the preset compression ratio.
9. The converted wave seismic data processing method of claim 4, wherein when the attribute information of the converted wave seismic data includes a maximum time of the converted wave seismic data, the updating the attribute information according to a preset compression ratio includes: dividing the maximum time of the converted wave seismic data by the preset compression ratio.
10. A converted wave seismic data processing apparatus, comprising: the converted wave seismic data processing apparatus includes: the system comprises a data acquisition module, an attribute information updating module and a target converted wave seismic data generation module; wherein,
the data acquisition module is used for acquiring converted wave seismic data and a preset compression ratio of the converted wave data;
the attribute information acquisition module is used for acquiring the attribute information of the converted wave seismic data acquired in the data acquisition module; the attribute information includes one or more of: the method comprises the following steps of recording the trace head record length of converted wave seismic data, the sampling rate of the converted wave seismic data, the trace length record of the converted wave seismic data, the minimum time of the converted wave seismic data and the maximum time of the converted wave seismic data;
the attribute information updating module is used for updating the attribute information acquired in the attribute information acquiring module according to the preset compression ratio acquired by the data acquiring module;
and the target converted wave seismic data generation module is used for generating target converted wave seismic data corresponding to the attribute information updated by the attribute information updating module.
11. The converted wave seismic data processing apparatus of claim 10,
when the attribute information of the converted wave seismic data comprises the sampling rate of the converted wave seismic data, the attribute information updating module is used for dividing the sampling rate of the converted wave seismic data by the preset compression ratio; or,
when the attribute information of the converted wave seismic data comprises the trace length record of the converted wave seismic data, the attribute information updating module is used for dividing the trace length record of the converted wave seismic data by the preset compression ratio; or,
when the attribute information of the converted wave seismic data comprises the minimum time of the converted wave seismic data, the attribute information updating module is used for dividing the minimum time of the converted wave seismic data by the preset compression ratio; or,
when the attribute information of the converted wave seismic data comprises the maximum time of the converted wave seismic data, the attribute information updating module is used for dividing the maximum time of the converted wave seismic data by the preset compression ratio; or,
and when the attribute information of the converted wave seismic data comprises the trace head recording length of the converted wave seismic data, the attribute information updating module is used for dividing the trace head recording length of the converted wave seismic data by the preset compression ratio.
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