CN112559816A - Node seismic data segmentation performance optimization method and device - Google Patents
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- 230000011218 segmentation Effects 0.000 title claims abstract description 38
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Abstract
The invention provides a method and a device for optimizing performance of node seismic data segmentation, wherein the method comprises the following steps: sorting all excitation point information objects used for segmenting one node in an ascending order according to shot blasting time, and putting all the sorted excitation point information objects into an array, wherein the excitation point information objects comprise line numbers SLNo, point numbers SPNo, shot blasting time shootTime and index outIndex of the channel in an output channel set; calculating the index of each excitation point information object in the array; determining the space required by the output file according to the number of the excitation point information objects in the array and the number of bytes of each seismic data; and cutting out data of each channel in batches according to the blasting time of the excitation points in the array, and writing the data of each channel in the specified position in the output file after arranging the data of each channel in ascending order according to the line number SLNo and the point number SPNo based on the space required by the output file. The scheme can achieve the balance between the consumption of memory resources and the data segmentation efficiency.
Description
Technical Field
The invention relates to the technical field of oil exploration, in particular to a node seismic data segmentation performance optimization method and device.
Background
The node is a continuous acquisition instrument, the vibration amplitude of a sensor of the node is recorded at regular time (for example, every 1 millisecond), a cannon ship is shot on the water surface by using an air gun after the node is placed on the seabed, and seismic waves formed after shot blasting can be directly transmitted to the node or transmitted to the node after being reflected by a stratum. The nodes simply record data continuously, but do not know when the shots are played and when the recorded data is valid. The blasting system can accurately record the excitation time of each shot, the node also records the initial recording time and the sampling point interval, and the data segmentation process is to find out a section of effective data (about 10 seconds) recorded by the node when each shot is blasted according to the two times.
The method for realizing data segmentation in the prior art comprises the steps of completely reading node data into a memory, then carrying out segmentation processing, and after segmentation is finished, sequencing and then integrally writing the node data into a file; for example, if a node has 10GB of data, then read data needs to occupy 10GB of memory, a segmentation module needs to occupy 20GB of memory (the segmentation module needs memory space of original data and segmented data), and an output module also needs to occupy 10GB of memory (in order to improve performance, these modules are all parallel, that is, when the output module outputs data of node 1, the segmentation module is segmenting data of node 2, and the input module is reading data of node 3), then to segment such node data, theoretically, 40GB of memory is needed at least, and the computer memory is few, and software cannot be applied to enough memory at all, and cannot be used. That is, when data is divided, the number of memories is strictly required, and the hardware cannot be used unless the configuration of the hardware is required.
Disclosure of Invention
The embodiment of the invention provides a node seismic data segmentation performance optimization method and device, and solves the technical problem that balance between memory resource consumption and data segmentation efficiency cannot be achieved in the prior art.
The embodiment of the invention provides a performance optimization method for node seismic data segmentation, which comprises the following steps:
sorting all excitation point information objects used for segmenting one node in an ascending order according to shot blasting time, and putting all the sorted excitation point information objects into an array, wherein the excitation point information objects comprise line numbers SLNo, point numbers SPNo, shot blasting time shootTime and index outIndex of the channel in an output channel set;
calculating the index of each excitation point information object in the array;
determining the space required by the output file according to the number of the excitation point information objects in the array and the number of bytes of each seismic data;
and cutting out data of each channel in batches according to the blasting time of the excitation points in the array, and writing the data of each channel in the specified position in the output file after arranging the data of each channel in ascending order according to the line number SLNo and the point number SPNo based on the space required by the output file.
The embodiment of the invention also provides a performance optimization device for node seismic data segmentation, which comprises the following steps:
the sequencing storage module is used for sequencing all excitation point information objects used for segmenting one node in an ascending order according to shot time, and putting all the sequenced excitation point information objects into an array, wherein the excitation point information objects comprise line numbers SLNo, point numbers SPNo, shot time shootdime and index outIndex of the channel in an output channel set;
the index calculation module is used for calculating the index of each excitation point information object in the array;
the space determining module required by the output file is used for determining the space required by the output file according to the number of the excitation point information objects in the array and the number of bytes of each seismic data;
and the segmentation storage module is used for segmenting data of each channel in batches according to the blasting time of the excitation points in the array, and writing the data of each channel in the specified position in the output file after the data of each channel is arranged in an ascending order according to the line number SLNo and the point number SPNo according to the index based on the space required by the output file.
The embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, and the computer readable storage medium stores a computer program for executing the method.
In the embodiment of the invention, the memory use scheme is determined according to the space required by the output file, so that the technical problem that the balance between the consumption of memory resources and the data segmentation efficiency cannot be achieved in the prior art is solved.
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 flowchart of a performance optimization method for node seismic data segmentation according to an embodiment of the present invention;
fig. 2 is a structural block diagram of a performance optimization device for node seismic data segmentation according to an embodiment 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.
In an embodiment of the present invention, a performance optimization method for node seismic data segmentation is provided, as shown in fig. 1, the method includes:
step 101: and sequencing all the shot point information objects used for segmenting one node in an ascending order according to the shot time, and placing all the sequenced shot point information objects into an array SPvector.
The shot point information object shotPoint includes a line number SLNo, a point number SPNo, shot time shootTime, and an index outIndex of the channel in the output gather.
Each gun can calculate a line number and a point number according to the coordinates of the gun, and the construction area can be divided into a plane grid, each gun falls on one grid, and the line number and the point number are the row number and the column number of the grid.
The line number SLNo, the point number SPNo, and the shot time shootTime are input data, and the index outIndex of the trace in the output trace set is calculated by the subsequent steps. Calculating the outIndex value for the excitation point information provides for subsequent batch processing, so that the batch processing knows where each track is placed in the file.
Step 102: calculating the index of each excitation point information object in the array SPvector;
the specific calculation method is as follows:
and arranging all excitation point information objects in the array SPVector in an ascending order according to the line number SLNo and the point number SPNo, wherein the index of each excitation point information object in the array SPVector is the value of the outIndex field.
After the calculation is completed, the array SPVectors also need to be restored to be sorted in ascending order according to the shot time shootTime.
Step 103: and determining the space required by the output file according to the number of the excitation point information objects in the array SPvector and the number of bytes of each seismic data. The calculation formula is as follows:
fsz＝fhBytes+tBytes×tNum；
fsz is the number of bytes of an output file, fhBytes is the number of bytes of a seismic data file header, tBytes is the number of bytes of each channel of data, and tNum is the number of channels, namely the number of elements of the SPVector.
Step 104: and cutting out data of each channel in batches according to the blasting time of excitation points in the array SPVector, and writing the data of each channel in the specified position in the input file after arranging the data of each channel in ascending order of line number SLNo and point number SPNo according to the index based on the space required by the output file. The calculation formula is as follows:
pos＝fhBytes+outIndex×tBytes；
wherein pos is the position of the corresponding channel in the output file, fhBytes is the number of bytes of the seismic data file header, tBytes is the number of bytes of each channel of data, and outIndex is the index of the channel in the output channel set.
The less the number of tracks processed each time, the less the memory occupied, but the speed will be reduced due to the increased number of times of positioning the disk; the speed is faster when the number of processing tracks per time is larger, but the memory occupation is larger; this needs to be selected according to the hardware configuration and the speed requirements.
The invention mainly aims to solve the problems mentioned in the background technology, if two users A, B need to split node data of a single node of 10GB, a user A needs more nodes to process every day and needs priority in performance, and a user B needs fewer nodes to process every day and does not have high performance requirements and hopes not to purchase high-performance computer equipment. The prior art can not meet the requirements of B users, and computers with memories larger than 40GB must be configured.
If the user B has a computer with 6GB memory and wants to use the computer to segment data, the requirement can be met by using the scheme, and the scheme specifically comprises the following steps:
(1) determining the amount of memory available for the software, wherein the default amount is 70% of the total memory, and the memory available for the software in this case is 6 × 70% — 4.2 GB;
(2) calculating the data volume of each reading and segmentation to be 4.2/4-1.25 GB according to the available memory of the software; the dividend 4 can also be adjusted according to the actual situation;
(3) and grouping the excitation point information according to the blasting time, wherein each group corresponds to data processed once. In this example, the number of groups that can be divided is 8 (10 GB/1.25 GB), and the groups are divided into 8 groups, and one group is processed at a time.
Based on the same inventive concept, the embodiment of the invention also provides a performance optimization device for node seismic data segmentation, which is described in the following embodiment. Because the principle of solving the problems of the performance optimization device for node seismic data segmentation is similar to that of the performance optimization method for node seismic data segmentation, the implementation of the performance optimization device for node seismic data segmentation can refer to the implementation of the performance optimization method for node seismic data segmentation, 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. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram of a performance optimization apparatus for node seismic data segmentation according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes:
the sorting storage module 201 is configured to sort all excitation point information objects used for segmenting one node in an ascending order according to shot time, and place all the excitation point information objects after sorting into an array, where the excitation point information objects include a line number SLNo, a point number SPNo, shot time shootdime, and an index outIndex of the current channel in an output gather;
an index calculation module 202, configured to calculate an index of each excitation point information object in the array;
the space determining module 203 required by the output file is used for determining the space required by the output file according to the number of the excitation point information objects in the array and the number of bytes of each seismic data;
and the segmentation storage module 204 is used for segmenting data of each channel in batches according to the blasting time of the excitation points in the array, and writing the data of each channel in the specified position in the output file after the data of each channel is arranged in an ascending order according to the line number SLNo and the point number SPNo according to the index based on the space required by the output file.
In this embodiment of the present invention, the index calculation module 202 is specifically configured to:
the index of each shot point information object in the array is set as follows:
and arranging all the excitation point information objects in the array in an ascending order according to the line number SLNo and the point number SPNo, wherein the index of each excitation point information object in the array is the value of the outIndex field.
In this embodiment of the present invention, the space determining module 203 required by the output file is specifically configured to:
the space required for outputting the file is determined according to the following formula:
fsz＝fhBytes+tBytes×tNum；
fsz is the number of bytes of an output file, fhBytes is the number of bytes of a seismic data file header, tBytes is the number of bytes of each channel of data, and tNum is the number of channels.
In this embodiment of the present invention, the segmentation storage module 204 is specifically configured to:
the specified position is determined according to the following formula:
pos＝fhBytes+outIndex×tBytes；
wherein pos is the position of the corresponding channel in the output file, fhBytes is the number of bytes of the seismic data file header, tBytes is the number of bytes of each channel of data, and outIndex is the index of the channel in the output channel set.
The embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, and the computer readable storage medium stores a computer program for executing the method.
In summary, the invention provides an optimized memory use mode during node seismic data segmentation, a memory use scheme is determined according to the number of memories which can be used by a system, if the memories are large enough, one node data is completely stored in the memories, the node data is arranged in an ascending order according to a line number SLNo and a point number SPNo after segmentation, and then the node data is written into a file in an ascending order, so that reading and writing are sequential, and the IO performance is optimal. If the memory is small, batch processing is required according to the size of the actual memory, and when data of each batch is written out to an output file during batch processing, the data of the batch is not always continuous in the output file, and positions may need to be jumped in the file, which may cause performance loss. But the gangsters can also be used normally. Therefore, an elastic technical scheme is provided for node seismic data segmentation, and a user can select a proper implementation mode according to the requirements on efficiency and cost, so that the balance between the consumption of memory resources and the data segmentation efficiency is achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 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.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A performance optimization method for node seismic data segmentation is characterized by comprising the following steps:
sorting all excitation point information objects used for segmenting one node in an ascending order according to shot blasting time, and putting all the sorted excitation point information objects into an array, wherein the excitation point information objects comprise line numbers SLNo, point numbers SPNo, shot blasting time shootTime and index outIndex of the channel in an output channel set;
calculating the index of each excitation point information object in the array;
determining the space required by the output file according to the number of the excitation point information objects in the array and the number of bytes of each seismic data;
and cutting out data of each channel in batches according to the blasting time of the excitation points in the array, and writing the data of each channel in the specified position in the output file after arranging the data of each channel in ascending order according to the line number SLNo and the point number SPNo based on the space required by the output file.
2. The method for optimizing performance of nodal seismic data slicing as claimed in claim 1 wherein the index of each shot point information object in the array is calculated as follows:
and arranging all the excitation point information objects in the array in an ascending order according to the line number SLNo and the point number SPNo, wherein the index of each excitation point information object in the array is the value of the outIndex field.
3. The method for optimizing the performance of nodal seismic data segmentation, as set forth in claim 1, wherein the space required for outputting the file is determined according to the following formula:
fsz＝fhBytes+tBytes×tNum；
fsz is the number of bytes of an output file, fhBytes is the number of bytes of a seismic data file header, tBytes is the number of bytes of each channel of data, and tNum is the number of channels.
4. The method for optimizing performance of nodal seismic data slicing as claimed in claim 1, wherein the designated position is determined according to the following formula:
pos＝fhBytes+outIndex×tBytes；
wherein pos is the position of the corresponding channel in the output file, fhBytes is the number of bytes of the seismic data file header, tBytes is the number of bytes of each channel of data, and outIndex is the index of the channel in the output channel set.
5. A performance optimization device for node seismic data segmentation is characterized by comprising:
the sequencing storage module is used for sequencing all excitation point information objects used for segmenting one node in an ascending order according to shot time, and putting all the sequenced excitation point information objects into an array, wherein the excitation point information objects comprise line numbers SLNo, point numbers SPNo, shot time shootdime and index outIndex of the channel in an output channel set;
the index calculation module is used for calculating the index of each excitation point information object in the array;
the space determining module required by the output file is used for determining the space required by the output file according to the number of the excitation point information objects in the array and the number of bytes of each seismic data;
and the segmentation storage module is used for segmenting data of each channel in batches according to the blasting time of the excitation points in the array, and writing the data of each channel in the specified position in the output file after the data of each channel is arranged in an ascending order according to the line number SLNo and the point number SPNo according to the index based on the space required by the output file.
6. The node seismic data slicing performance optimization device according to claim 5, wherein the index calculation module is specifically configured to:
the index of each shot point information object in the array is calculated as follows:
and arranging all the excitation point information objects in the array in an ascending order according to the line number SLNo and the point number SPNo, wherein the index of each excitation point information object in the array is the value of the outIndex field.
7. The node seismic data slicing performance optimization device according to claim 5, wherein the space determining module required for outputting the file is specifically configured to:
the space required for outputting the file is determined according to the following formula:
fsz＝fhBytes+tBytes×tNum；
fsz is the number of bytes of an output file, fhBytes is the number of bytes of a seismic data file header, tBytes is the number of bytes of each channel of data, and tNum is the number of channels.
8. The node seismic data slicing performance optimization device according to claim 5, wherein the slicing storage module is specifically configured to:
the specified position is determined according to the following formula:
pos＝fhBytes+outIndex×tBytes；
wherein pos is the position of the corresponding channel in the output file, fhBytes is the number of bytes of the seismic data file header, tBytes is the number of bytes of each channel of data, and outIndex is the index of the channel in the output channel set.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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