CN112948372A - Index-based fixed-trace-length seismic data retrieval method and system - Google Patents
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Abstract
The invention provides an index-based fixed trace length seismic data retrieval method and system, wherein the method comprises the following steps: determining the total number of the collected seismic data; establishing an index array according to the total channel number, and storing the file number of each seismic data and the corresponding channel number in blocks into the index array; the storage positions of the seismic data corresponding to the actual file numbers and the channel numbers are retrieved through the index arrays, and therefore the seismic data searching efficiency can be improved.
Description
Technical Field
The invention relates to the technical field of seismic data query, in particular to a fixed-track-length seismic data retrieval method and system based on indexes.
Background
In geophysical seismic exploration, it is common to use first-arrival information to build near-surface models. Seismic data used at first arrival pickup is defaulted to co-firing point gathers, i.e., data gathers formed by file number (FFID), sorted from small to large by lane number (Chan). When first arrival picking up, firstly, integrally scanning seismic data, and counting FFID and Chan of each path in the seismic data according to the sequence in the seismic data; then, a user preferably selects a plurality of channels of seismic data to establish a gather according to the FFID and the Chan, and then determines the starting position of the channel data in a file and reads the channel data according to the information of the sequence number, the fixed channel length and the like of each channel in the seismic data; and finally, carrying out later first arrival picking work on the gather. For large seismic data, the method of determining the position of the trace data in the file by scanning the seismic data trace by trace is inefficient and has long waiting time.
Disclosure of Invention
The invention aims to provide an index-based fixed-trace-length seismic data retrieval method, which improves the seismic data search efficiency. It is another object of the present invention to provide an index-based fixed trace length seismic data retrieval system. It is a further object of this invention to provide such a computer apparatus. It is a further object of this invention to provide such a readable medium.
In order to achieve the above object, the present invention discloses an index-based fixed trace length seismic data retrieval method, including:
determining the total number of the collected seismic data;
establishing an index array according to the total channel number, and storing the file number of each seismic data and the corresponding channel number in blocks into the index array;
and retrieving the storage positions of the seismic data corresponding to the actual file number and the channel number through the index array.
Preferably, the determining the total trace number of the acquired seismic data specifically includes:
determining the file size of the acquired seismic data;
and determining the total track number of the seismic data according to the file size and the fixed track length.
Preferably, the establishing an index array according to the total track number, and the storing the file number of each seismic data and the corresponding track number in blocks into the index array specifically includes:
dividing seismic data into a plurality of data blocks, wherein each data block comprises a preset channel number of seismic data;
and storing the file number of each seismic data in each data block and the corresponding track number into the index array.
Preferably, the storing the file number and the corresponding track number of each piece of seismic data in each data block into the index array specifically includes:
and performing an index establishing step for each data block, wherein the index establishing step comprises the following steps: determining the file numbers and the corresponding track numbers of the first path of seismic data and the last path of seismic data in each data block and storing the file numbers and the corresponding track numbers to the corresponding positions of the index array, and if the file numbers of the first path of seismic data and the last path of seismic data are the same and the difference value of the track numbers is equal to the track number of the seismic data, setting the file numbers and the track numbers corresponding to the data blocks in the index array according to a track number forming rule;
if the file numbers are different or the difference value is not equal to the channel number of the seismic data, determining the middle channel seismic data, storing the file number and the channel number of the middle channel seismic data, forming subdata blocks by the middle channel seismic data and the seismic data between the first channel seismic data and the last channel seismic data respectively, and executing the step of establishing indexes respectively until no seismic data exist between the middle channel seismic data and the first channel seismic data and the last channel seismic data.
The invention also discloses an index-based fixed-track-length seismic data retrieval system, which comprises:
the data preprocessing unit is used for determining the total channel number of the acquired seismic data;
the index establishing unit is used for establishing an index array according to the total track number and storing the file number of each seismic data and the corresponding track number in the index array in a blocking manner;
and the seismic data query unit is used for retrieving the storage positions of the seismic data corresponding to the actual file numbers and the channel numbers through the index arrays.
Preferably, the data preprocessing unit is specifically configured to determine a file size of the acquired seismic data, and determine the total number of seismic data according to the file size and the fixed track length.
Preferably, the index establishing unit is specifically configured to divide the seismic data into a plurality of data blocks, each data block includes a preset number of channels of seismic data, and store a file number of each channel of seismic data in each data block and a corresponding channel number into the index array.
Preferably, the index creating unit is further configured to perform an index creating step for each data block, where the index creating step includes: determining the file numbers and the corresponding track numbers of the first path of seismic data and the last path of seismic data in each data block and storing the file numbers and the corresponding track numbers to the corresponding positions of the index array, if the file numbers of the first path of seismic data and the last path of seismic data are the same and the difference value of the track numbers is equal to the track number of the seismic data, setting the file numbers and the track numbers corresponding to the data blocks in the index array according to a track number forming rule, if the file numbers are different or the difference value is not equal to the track number of the seismic data, determining middle path seismic data and storing the file numbers and the track numbers of the middle path seismic data, respectively forming sub-data blocks by the middle path seismic data and the seismic data between the first path of seismic data and the last path of seismic data, and respectively executing the step of establishing indexes until no seismic data exists between the middle path seismic data and the first path of seismic data and the.
The invention also discloses a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor,
the processor, when executing the program, implements the method as described above.
The invention also discloses a computer-readable medium, having stored thereon a computer program,
which when executed by a processor implements the method as described above.
The method comprises the steps of firstly determining the total track number of the acquired seismic data, then establishing an index array, storing the file number and the track number of each channel of data into the index array by a method of block recursive calling, quickly establishing the index array of all seismic data, inquiring the actual file number and the track number of the seismic data to be retrieved through the index array to determine the position of the seismic data in the index array, determining the storage position of the seismic data in a file according to the storage rule of the seismic data and the formation rule of the file number and the track number of the seismic data, quickly obtaining the storage position of the seismic data to acquire the seismic data, and improving the acquisition efficiency of the seismic data.
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 described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of one embodiment of a method for index-based fixed trace length seismic data retrieval according to the present invention;
FIG. 2 is a second flowchart of an embodiment of a fixed trace length seismic data retrieval method based on indexing according to the invention;
FIG. 3 is a third flowchart of an embodiment of a fixed trace length seismic data retrieval method based on indexing according to the invention;
FIG. 4 is a fourth flowchart of an embodiment of a fixed trace length seismic data retrieval method based on indexing of the present invention;
FIG. 5 is a block diagram illustrating one embodiment of an index-based fixed trace length seismic data retrieval system according to the present invention;
FIG. 6 illustrates a schematic block diagram of a computer device suitable for use in implementing embodiments of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, 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 invention.
According to one aspect of the invention, the embodiment discloses a fixed trace length seismic data retrieval method based on indexes. As shown in fig. 1, in this embodiment, the method includes:
s100: a total number of traces of the acquired seismic data is determined.
S200: and establishing an index array according to the total track number, and storing the file number of each seismic data and the corresponding track number in the index array in blocks.
S300: and retrieving the storage positions of the seismic data corresponding to the actual file number and the channel number through the index array.
The method comprises the steps of firstly determining the total track number of the acquired seismic data, then establishing an index array, storing the file number and the track number of each channel of data into the index array by a method of block recursive calling, quickly establishing the index array of all seismic data, inquiring the actual file number and the track number of the seismic data to be retrieved through the index array to determine the position of the seismic data in the index array, determining the storage position of the seismic data in a file according to the storage rule of the seismic data and the formation rule of the file number and the track number of the seismic data, quickly obtaining the storage position of the seismic data to acquire the seismic data, reducing the scanning times and improving the acquisition efficiency of the seismic data.
In a preferred embodiment, as shown in fig. 2, the S100 may specifically include:
s110: a file size of the acquired seismic data is determined.
S120: and determining the total track number of the seismic data according to the file size and the fixed track length.
It can be understood that, in the invention, for the storage and query of the seismic data with the fixed track length, the lengths of the seismic data with the fixed track length, namely each track of seismic data, are the same, and the total track number of the seismic data can be obtained according to the file size of the acquired seismic data and the fixed track length. For example, in one specific example, 9GB common shot seismic data is received, the file size of the seismic data is 10116003600 bytes, the length of each trace of data, i.e., the fixed trace length, is 6744, and the total number of traces is 15 ten thousand. The number of received tracks per shot can be 3000, the recording format of the seismic data can be standard SegY, and the first track of seismic data is stored in the position of a file 3600. The FFID is located at 8 byte position and 4 bytes in length of each trace of seismic data, and Chan is located at 12 byte position and 4 bytes in length.
In a preferred embodiment, as shown in fig. 3, the S200 may specifically include:
s210: the method comprises the steps of dividing seismic data into a plurality of data blocks, wherein each data block comprises a preset channel number of seismic data. The number of tracks received by each shot can be selected as the preset number of tracks, and the track numbers of the seismic data in the preset number of tracks are sequentially ordered according to a track number forming rule, for example, sequentially increased according to an amplification of 1.
S220: and storing the file number of each seismic data in each data block and the corresponding track number into the index array. Specifically, an empty array Arr can be established according to the total number of the channels, the FFID and Chan of each channel of seismic data are recorded, and the array information corresponds to the channels in the seismic data one by one.
In a preferred embodiment, as shown in fig. 4, the S220 may specifically include:
s221: and performing an index establishing step for each data block, wherein the index establishing step comprises the following steps: and determining the file numbers and the corresponding track numbers of the first path of seismic data and the last path of seismic data in each data block and storing the file numbers and the corresponding track numbers to the corresponding positions of the index array, and if the file numbers of the first path of seismic data and the last path of seismic data are the same and the difference value of the track numbers is equal to the track number of the seismic data, setting the file numbers and the track numbers corresponding to the data blocks in the index array according to a track number forming rule.
S222: if the file numbers are different or the difference value is not equal to the channel number of the seismic data, determining the middle channel seismic data, storing the file number and the channel number of the middle channel seismic data, forming subdata blocks by the middle channel seismic data and the seismic data between the first channel seismic data and the last channel seismic data respectively, and executing the step of establishing indexes respectively until no seismic data exist between the middle channel seismic data and the first channel seismic data and the last channel seismic data.
It can be understood that, for the seismic data of the common excitation point gather, the seismic data received by each shot has the same file number, the seismic data received by different shots are different and can be sequentially increased according to the excitation sequence, and the track numbers of two adjacent seismic data in the same file number are sequentially increased by 1.
Specifically, in a specific example, S1000: scanning the starting track S (S is the first track) and the ending track E (the space between the E track and the S track StepChan track) to obtain FFID and Chan information, and modifying the information in corresponding arrays Arr [ is ] and Arr [ ie ] (the is the index of the S track information in Arr, and the ie is the index of the E track information in Arr).
S2000, if the FFID corresponding to the starting track S is the same as the FFID corresponding to the ending track E, and the difference value between the Chan corresponding to the starting track S and the Chan corresponding to the ending track E is equal to is-ie, the seismic channel information between the S and the E is not scanned, the information in the corresponding array Arr is directly modified, the FFID rule is modified as a formula (1), and the Chan rule is modified as a formula (2):
Arr[i].FFID＝S.FFID (1)
Arr[i].Chan＝S.Chan+i-is (2)
in the formula (1) and the formula (2), i is an integer, the numeric area [ is +1, ie-1] requires that ie is larger than is.
S3000, if the condition of S2000 is not satisfied, scanning the middle track M of the starting track S and the ending track E to obtain FFID and Chan information, and simultaneously modifying the information in corresponding Arr [ im ] (im is the index of the M-track information in Arr), wherein im is determined by formula (3).
im＝(is+ie)/2 (3)
If the S, M and E front and back tracks are continuous, namely is +1 is M is ie-1, the establishment of the index of the middle track between the starting track S and the ending track E is finished, and simultaneously, the method of the step S3000 is used for starting to scan the information of the middle track in the next block [ is, ie ], at the moment, is ie in the next block, and ie is + StepChan; if S, M and E tracks are not continuous, then [ is, im ] and [ im, ie ] are divided into two blocks to be scanned by the method of step S3000, and track information is established.
Based on the same principle, the embodiment also discloses an index-based fixed trace length seismic data retrieval system. As shown in fig. 5, the system includes a data preprocessing unit 11, an index building unit 12, and a seismic data query unit 13.
The data preprocessing unit 11 is configured to determine a total number of acquired seismic data.
The index establishing unit 12 is configured to establish an index array according to the total track number, and store the file number of each seismic data and the corresponding track number in blocks into the index array.
The seismic data query unit 13 is configured to retrieve the storage location of the seismic data corresponding to the actual document number and the track number through the index array.
In a preferred embodiment, the data preprocessing unit 11 is specifically configured to determine a file size of the acquired seismic data, and determine the total track number of the seismic data according to the file size and the fixed track length.
It can be understood that, in the invention, for the storage and query of the seismic data with the fixed track length, the lengths of the seismic data with the fixed track length, namely each track of seismic data, are the same, and the total track number of the seismic data can be obtained according to the file size of the acquired seismic data and the fixed track length. For example, in one specific example, 9GB common shot seismic data is received, the file size of the seismic data is 10116003600 bytes, the length of each trace of data, i.e., the fixed trace length, is 6744, and the total number of traces is 15 ten thousand. The number of received tracks per shot can be 3000, the recording format of the seismic data can be standard SegY, and the first track of seismic data is stored in the position of a file 3600. The FFID is located at 8 byte position and 4 bytes in length of each trace of seismic data, and Chan is located at 12 byte position and 4 bytes in length.
In a preferred embodiment, the index creating unit 12 is specifically configured to divide the seismic data into a plurality of data blocks, each data block includes a preset number of channels of seismic data, and store a file number of each channel of seismic data in each data block and a corresponding channel number into the index array. The number of tracks received by each shot can be selected as the preset number of tracks, and the track numbers of the seismic data in the preset number of tracks are sequentially ordered according to a track number forming rule, for example, sequentially increased according to an amplification of 1. Specifically, an empty array Arr can be established according to the total number of the channels, the FFID and Chan of each channel of seismic data are recorded, and the array information corresponds to the channels in the seismic data one by one.
In a preferred embodiment, the index creating unit 12 is further configured to perform an index creating step for each data block, where the index creating step includes: determining the file numbers and the corresponding track numbers of the first path of seismic data and the last path of seismic data in each data block and storing the file numbers and the corresponding track numbers to the corresponding positions of the index array, if the file numbers of the first path of seismic data and the last path of seismic data are the same and the difference value of the track numbers is equal to the track number of the seismic data, setting the file numbers and the track numbers corresponding to the data blocks in the index array according to a track number forming rule, if the file numbers are different or the difference value is not equal to the track number of the seismic data, determining middle path seismic data and storing the file numbers and the track numbers of the middle path seismic data, respectively forming sub-data blocks by the middle path seismic data and the seismic data between the first path of seismic data and the last path of seismic data, and respectively executing the step of establishing indexes until no seismic data exists between the middle path seismic data and the first path of seismic data and the.
It can be understood that, for seismic data of co-excitation point gathers all having the same file number, the seismic data having the same file number may be stored and an index array may be established for index query. All seismic data have the same file number, and the track numbers of two adjacent seismic data are sequentially increased by taking 1 as an amplification factor.
Specifically, in a specific example, S1000: scanning the starting track S (S is the first track) and the ending track E (the space between the E track and the S track StepChan track) to obtain FFID and Chan information, and modifying the information in corresponding arrays Arr [ is ] and Arr [ ie ] (the is the index of the S track information in Arr, and the ie is the index of the E track information in Arr).
S2000, if the FFID corresponding to the starting track S is the same as the FFID corresponding to the ending track E, and the difference value between the Chan corresponding to the starting track S and the Chan corresponding to the ending track E is equal to is-ie, the seismic channel information between the S and the E is not scanned, the information in the corresponding array Arr is directly modified, the FFID rule is modified as a formula (1), and the Chan rule is modified as a formula (2):
Arr[i].FFID＝S.FFID (1)
Arr[i].Chan＝S.Chan+i-is (2)
in the formula (1) and the formula (2), i is an integer, the numeric area [ is +1, ie-1] requires that ie is larger than is.
S3000, if the condition of S2000 is not satisfied, scanning the middle track M of the starting track S and the ending track E to obtain FFID and Chan information, and simultaneously modifying the information in corresponding Arr [ im ] (im is the index of the M-track information in Arr), wherein im is determined by formula (3).
im＝(is+ie)/2 (3)
If the S, M and E front and back tracks are continuous, namely is +1 is M is ie-1, the establishment of the index of the middle track between the starting track S and the ending track E is finished, and simultaneously, the method of the step S3000 is used for starting to scan the information of the middle track in the next block [ is, ie ], at the moment, is ie in the next block, and ie is + StepChan; if S, M and E tracks are not continuous, then [ is, im ] and [ im, ie ] are divided into two blocks to be scanned by the method of step S3000, and track information is established.
Since the principle of the system for solving the problem is similar to the above method, the implementation of the system can refer to the implementation of the method, and the detailed description is omitted here.
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. A typical implementation device is a computer device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In a typical example, the computer device comprises in particular a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor implements the method as described above.
Referring now to FIG. 6, shown is a schematic diagram of a computer device 600 suitable for use in implementing embodiments of the present application.
As shown in fig. 6, the computer apparatus 600 includes a Central Processing Unit (CPU)601 which can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM)) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output section 607 including a Cathode Ray Tube (CRT), a liquid crystal feedback (LCD), and the like, and a speaker and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted as necessary on the storage section 608.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611.
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.
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.
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.
It should also be noted that 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, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 the like) having computer-usable program code embodied therein.
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.
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 above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An index-based fixed trace length seismic data retrieval method is characterized by comprising the following steps:
determining the total number of the collected seismic data;
establishing an index array according to the total channel number, and storing the file number of each seismic data and the corresponding channel number in blocks into the index array;
and retrieving the storage positions of the seismic data corresponding to the actual file number and the channel number through the index array.
2. The fixed trace length seismic data retrieval method of claim 1, wherein the determining the total trace count of the acquired seismic data specifically comprises:
determining the file size of the acquired seismic data;
and determining the total track number of the seismic data according to the file size and the fixed track length.
3. The fixed trace length seismic data retrieval method of claim 1, wherein the establishing of the index array according to the total trace number and the storing of the file number of each trace of seismic data and the corresponding trace number in blocks into the index array specifically comprises:
dividing seismic data into a plurality of data blocks, wherein each data block comprises a preset channel number of seismic data;
and storing the file number of each seismic data in each data block and the corresponding track number into the index array.
4. The fixed trace length seismic data retrieval method of claim 3, wherein the storing the file number and corresponding trace number for each trace of seismic data in each data block into the index array specifically comprises:
and performing an index establishing step for each data block, wherein the index establishing step comprises the following steps: determining the file numbers and the corresponding track numbers of the first path of seismic data and the last path of seismic data in each data block and storing the file numbers and the corresponding track numbers to the corresponding positions of the index array, and if the file numbers of the first path of seismic data and the last path of seismic data are the same and the difference value of the track numbers is equal to the track number of the seismic data, setting the file numbers and the track numbers corresponding to the data blocks in the index array according to a track number forming rule;
if the file numbers are different or the difference value is not equal to the channel number of the seismic data, determining the middle channel seismic data, storing the file number and the channel number of the middle channel seismic data, forming subdata blocks by the middle channel seismic data and the seismic data between the first channel seismic data and the last channel seismic data respectively, and executing the step of establishing indexes respectively until no seismic data exist between the middle channel seismic data and the first channel seismic data and the last channel seismic data.
5. An index-based fixed trace length seismic data retrieval system, comprising:
the data preprocessing unit is used for determining the total channel number of the acquired seismic data;
the index establishing unit is used for establishing an index array according to the total track number and storing the file number of each seismic data and the corresponding track number in the index array in a blocking manner;
and the seismic data query unit is used for retrieving the storage positions of the seismic data corresponding to the actual file numbers and the channel numbers through the index arrays.
6. The fixed trace length seismic data retrieval system of claim 5, wherein the data preprocessing unit is specifically configured to determine a file size of the acquired seismic data, and determine a total trace count of the seismic data based on the file size and the fixed trace length.
7. The fixed trace length seismic data retrieval system of claim 5, wherein the index building unit is specifically configured to divide the seismic data into a plurality of data blocks, each data block includes a preset number of traces of seismic data, and store the file number of each trace of seismic data in each data block and the corresponding trace number into the index array.
8. The fixed trace length seismic data retrieval system of claim 7, wherein the index building unit is further configured to perform the indexing step for each data block, the indexing step comprising: determining the file numbers and the corresponding track numbers of the first path of seismic data and the last path of seismic data in each data block and storing the file numbers and the corresponding track numbers to the corresponding positions of the index array, if the file numbers of the first path of seismic data and the last path of seismic data are the same and the difference value of the track numbers is equal to the track number of the seismic data, setting the file numbers and the track numbers corresponding to the data blocks in the index array according to a track number forming rule, if the file numbers are different or the difference value is not equal to the track number of the seismic data, determining middle path seismic data and storing the file numbers and the track numbers of the middle path seismic data, respectively forming sub-data blocks by the middle path seismic data and the seismic data between the first path of seismic data and the last path of seismic data, and respectively executing the step of establishing indexes until no seismic data exists between the middle path seismic data and the first path of seismic data and the.
9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor,
the processor, when executing the program, implements the method of any of claims 1-4.
10. A computer-readable medium, having stored thereon a computer program,
the program when executed by a processor implements the method of any one of claims 1 to 4.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103901468A (en) * | 2014-03-18 | 2014-07-02 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Seismic data processing method and device |
| CN104317536A (en) * | 2014-11-12 | 2015-01-28 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Device and method for storing seismic data cube and reading seismic channels |
| CN106201673A (en) * | 2016-06-24 | 2016-12-07 | 中国石油天然气集团公司 | A kind of seismic data processing technique and device |
| CN106570040A (en) * | 2015-10-12 | 2017-04-19 | 中国石油化工股份有限公司 | Multilevel data indexing method and system based on pre-stack reverse time migration |
| CN109101615A (en) * | 2018-08-07 | 2018-12-28 | 中国石油天然气集团有限公司 | Method for processing seismic exploration data and device |
-
2019
- 2019-12-11 CN CN201911264264.7A patent/CN112948372A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103901468A (en) * | 2014-03-18 | 2014-07-02 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Seismic data processing method and device |
| CN104317536A (en) * | 2014-11-12 | 2015-01-28 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Device and method for storing seismic data cube and reading seismic channels |
| CN106570040A (en) * | 2015-10-12 | 2017-04-19 | 中国石油化工股份有限公司 | Multilevel data indexing method and system based on pre-stack reverse time migration |
| CN106201673A (en) * | 2016-06-24 | 2016-12-07 | 中国石油天然气集团公司 | A kind of seismic data processing technique and device |
| CN109101615A (en) * | 2018-08-07 | 2018-12-28 | 中国石油天然气集团有限公司 | Method for processing seismic exploration data and device |
Non-Patent Citations (2)
| Title |
|---|
| 刘永江;邵庆;: "基于道集流的地震数据并行输入输出方法", 东北石油大学学报, vol. 38, no. 06, pages 61 - 67 * |
| 谷文彦;李俊;潘昌森;: "一种面向地震数据的两级索引", 微型机与应用, vol. 34, no. 18, pages 26 - 28 * |
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