CN107918145B - Parallelization processing method and system for seismic gun energy - Google Patents
Parallelization processing method and system for seismic gun energy Download PDFInfo
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- CN107918145B CN107918145B CN201610884446.4A CN201610884446A CN107918145B CN 107918145 B CN107918145 B CN 107918145B CN 201610884446 A CN201610884446 A CN 201610884446A CN 107918145 B CN107918145 B CN 107918145B
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- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
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- G01V2210/00—Details of seismic processing or analysis
- G01V2210/70—Other details related to processing
Abstract
A parallelization processing method and system for seismic shot energy are disclosed. The method comprises the following steps: creating a memory space and a queue II; creating a main control thread, a reading thread and a plurality of computing threads; wherein, the main control thread is: reading the total calculated cannon number, starting a reading thread and a plurality of calculating threads, reducing and storing energy of each cannon, and releasing the reading thread and the plurality of calculating threads to finish calculation after the calculation is finished; the read threads are: reading each seismic shot data in the seismic shot record data into the queue II; the calculation thread is: and acquiring the seismic shot data of each channel from the queue II, calculating the seismic shot energy of each channel and accumulating the seismic shot energy into the current shot energy of the current calculation thread. The invention realizes the specification of the seismic cannon energy through the main control thread, the reading thread and the plurality of calculation threads.
Description
Technical Field
The invention relates to the technical field of seismic data processing, in particular to a method and a system for parallelizing seismic cannon energy.
Background
In the technical field of seismic data processing, the current parallel processing mode of seismic shot energy adopts a single-shot coarse grain parallel processing method. During parallelization, the calculation of the seismic shot energy is generally based on the functional formula:
wherein A is total energy of a gun, N is total number of tracks of the gun, M is number of sample points of one track, aijIs the sample value of the jth sample point of the i-th channel. When the method is used for parallelization processing, the shot data of a magnetic head on a single disk which is not stopped at a plurality of discontinuous positions can be directly read by skipping, so that the method obviously reducesThe overlapping of calculation and reading and writing is realized, and the parallelization processing efficiency is further reduced.
Therefore, it is necessary to develop an efficient parallelization processing method and system for seismic shot energy.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention provides a parallelization processing method and a parallelization processing system for seismic cannon energy, which can realize the specification of the seismic cannon energy through a main control thread, a reading thread and a plurality of calculation threads.
According to one aspect of the invention, a method for parallelizing seismic shot energy is provided. The method comprises the following steps: creating a memory space and a queue II; creating a main control thread, a reading thread and a plurality of computing threads; wherein, the main control thread is: reading the total number of the calculated cannons, starting the reading thread and the plurality of calculating threads, reducing and storing energy of each cannon, and releasing the reading thread and the plurality of calculating threads to finish calculation after the calculation is finished; the read threads are: reading each seismic shot data in the seismic shot record data into a queue II; the computing thread is as follows: and acquiring the seismic shot data of each channel from the queue II, calculating the seismic shot energy of each channel and accumulating the seismic shot energy into the current shot energy of the current calculation thread.
According to another aspect of the invention, a system for parallelizing seismic shot energy is provided, the system comprising: a unit for creating a memory space and a queue II; a unit for creating a master thread, a read thread, and a plurality of compute threads; wherein, the main control thread is: reading the total number of the calculated cannons, starting the reading thread and the plurality of calculating threads, reducing and storing energy of each cannon, and releasing the reading thread and the plurality of calculating threads to finish calculation after the calculation is finished; the read threads are: reading each seismic shot data in the seismic shot record data into a queue II; the computing thread is as follows: and acquiring the seismic shot data of each channel from the queue II, calculating the seismic shot energy of each channel and accumulating the seismic shot energy into the current shot energy of the current calculation thread.
The invention adopts a fine-grained parallel mode, which not only improves the continuity of data reading and writing, but also improves the overlapping rate of calculation and reading and writing to a certain extent. Through the calculation thread, the reading thread and the queue II, the maximum overlapping of reading and calculation is realized, and simultaneously, the efficient continuous reading-in of the seismic data is realized; the total energy of each seismic shot data is normalized through the main control thread, the synchronous consumption that each thread executes the reduction task each time is reduced, and the parallelization efficiency is high.
The method and apparatus of the present invention have other features and advantages which will be apparent from or are set forth in detail in the accompanying drawings and the following detailed description, which are incorporated herein, and which together serve to explain certain principles of the invention.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
Fig. 1 shows a schematic diagram of a data structure I and a queue II according to an embodiment of the invention.
Detailed Description
The invention will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Embodiment mode 1
The invention realizes the specification of the seismic cannon energy through the main control thread, the reading thread and the plurality of calculation threads. The following describes the concrete steps of the parallelization processing method of the seismic shot energy according to the invention in detail.
Creating memory spaces and queues II
In one example, memory space and queue II200 is created.
According to the size of the memory available for the compute node, a memory space and a queue II200 are created. The queue II200 includes the corresponding data structure I100 for all tracks.
Creating a master thread, a read thread, and a plurality of compute threads
In one example, a master thread, a read thread, and a plurality of compute threads are created.
And creating a plurality of computing threads, a reading thread and a main control thread according to the number of CPU cores of the computing nodes.
The main control thread reads the total gun number, starts the read thread and the plurality of calculation threads, reduces and saves energy of each gun, and releases the read thread and the plurality of calculation threads to finish calculation after calculation is finished;
in one example, the specific steps of the master thread are as follows:
step 1, reading the total calculation cannon number x based on the seismic cannon record data, and starting a reading thread and a calculation thread;
step 2, waiting for the energy of the current seismic cannon to be calculated;
step 3, if the current seismic cannon energy is calculated, the seismic cannon energy is reduced and stored, and if the current seismic cannon energy is not calculated, the step 2 of the main control thread is skipped;
step 4, judging whether x-1 is 0, if x-1 is equal to 0, jumping to the step 5 of the main control thread, and if x-1 is equal to 0, jumping to the step 2 of the main control thread;
and 5, completing energy protocols of all seismic guns, and releasing the reading thread and the calculating thread.
The gauge is about: and accumulating the energy of a certain seismic shot in all the calculation threads together to finish the specification of the energy of the seismic shot.
The reading thread is to read each seismic shot data in the seismic shot record data into a queue II;
in one example, the specific steps of reading the thread are as follows:
step 1, putting each seismic shot data in the seismic shot record data into a corresponding data structure I100 in a queue II 200;
step 2, judging whether each track of data of the queue II200 is put into completion, if so, skipping to the step 1 of calculating the thread, and if not, skipping to the step 1 of reading the thread;
and step 3: and waiting for the read thread to be awakened, and jumping to the step 1 of the read thread after awakening.
And the calculation thread is to acquire the seismic shot data of each channel from the queue II, calculate the seismic shot energy of each channel and accumulate the seismic shot energy into the current shot energy of the current calculation thread.
In one example, the specific steps of computing a thread are as follows:
step 1, judging whether seismic shot data needing to be calculated exist in the queue II200, if so, acquiring a data structure I100 in the queue II200, calculating the seismic shot energy of the channel, and jumping to the step 2 of calculating the thread, and if not, jumping to the step 3 of reading the thread;
and 2, respectively judging whether the shot number of the current calculated seismic shot data is the same as the shot number of the previous seismic shot data, if so, accumulating the energy of the seismic shots with the corresponding shot numbers in the calculation thread, and jumping to the step 1 of the calculation thread, if not, judging whether the mark 103 that the shots belong to have no track data is true, if so, jumping to the step 3 of the main control thread, and if not, jumping to the step 1 of the calculation thread.
In one example, the data structure I100 includes a track data pointer 101, a track associated shot number 102, and an associated shot no track data flag 103, and the queue II200 includes corresponding data structures I100 for all tracks.
Fig. 1 shows a schematic diagram of a data structure I and a queue II according to an embodiment of the invention.
As shown in fig. 1, each seismic trace in the queue II200 has a data structure I100, and each data structure I100 stores all the sampling point data of the corresponding seismic trace, that is, each data structure I100 stores all the seismic shot data acquired by all the monitoring points of the corresponding seismic trace.
To facilitate understanding of the aspects of the embodiments of the present invention and their effects, a specific application example is given below. It will be understood by those skilled in the art that this example is merely for the purpose of facilitating an understanding of the present invention and that any specific details thereof are not intended to limit the invention in any way.
Examples of the applications
The invention provides a parallelization processing method of seismic cannon energy, which comprises the following steps: creating a memory space and a queue II; creating a main control thread, a reading thread and a plurality of computing threads;
wherein, the main control thread is: reading the total number of the calculated cannons, starting the reading thread and the plurality of calculating threads, reducing and storing energy of each cannon, and releasing the reading thread and the plurality of calculating threads to finish calculation after the calculation is finished; the main control thread comprises the following specific steps:
step 1, reading the total calculation cannon number x based on the seismic cannon record data, and starting a reading thread and a calculation thread;
step 2, waiting for the energy of the current seismic cannon to be calculated;
step 3, if the current seismic cannon energy is calculated, the seismic cannon energy is reduced and stored, and if the current seismic cannon energy is not calculated, the step 2 of the main control thread is skipped;
step 4, judging whether x-1 is 0, if x-1 is equal to 0, jumping to the step 5 of the main control thread, and if x-1 is equal to 0, jumping to the step 2 of the main control thread;
and 5, completing energy protocols of all seismic guns, and releasing the reading thread and the calculating thread.
The read threads are: reading each seismic shot data in the seismic shot record data into a queue II; the thread reading method comprises the following specific steps:
step 1, putting each seismic shot data in the seismic shot record data into a corresponding data structure body I in a queue II;
step 2, judging whether each track of data of the queue II is put into the queue II completely, if so, skipping to the step 1 of calculating the thread, and if not, skipping to the step 1 of reading the thread;
and step 3: and waiting for the read thread to be awakened, and jumping to the step 1 of the read thread after awakening.
The computing thread is as follows: and acquiring the seismic shot data of each channel from the queue II, calculating the seismic shot energy of each channel and accumulating the seismic shot energy into the current shot energy of the current calculation thread. The specific steps of the thread calculation are as follows:
step 1, judging whether seismic shot data needing to be calculated exist in the queue II200, if so, acquiring a data structure I100 in the queue II200, calculating the seismic shot energy of the channel, and jumping to the step 2 of calculating the thread, and if not, jumping to the step 3 of reading the thread;
and 2, respectively judging whether the shot number of the current calculated seismic shot data is the same as the shot number of the previous seismic shot data, if so, accumulating the energy of the seismic shots with the corresponding shot numbers in the calculation thread, and jumping to the step 1 of the calculation thread, if not, judging whether the 'the corresponding shots have no track data mark' is true, if so, jumping to the step 3 of the main control thread, and if not, jumping to the step 1 of the calculation thread.
The invention adopts a fine-grained parallel mode, which not only improves the continuity of data reading and writing, but also improves the overlapping rate of calculation and reading and writing to a certain extent. Through the calculation thread, the reading thread and the queue II, the maximum overlapping of reading and calculation is realized, and simultaneously, the efficient continuous reading-in of the seismic data is realized; the total energy of each seismic shot data is normalized through the main control thread, the synchronous consumption that each thread executes the reduction task each time is reduced, and the parallelization efficiency is high.
It will be appreciated by persons skilled in the art that the above description of embodiments of the invention is intended only to illustrate the beneficial effects of embodiments of the invention and is not intended to limit embodiments of the invention to any of the examples given.
Embodiment mode 2
According to an embodiment of the invention, a system for parallelizing seismic shot energy is provided, which may include: a unit for creating a memory space and a queue II; a unit for creating a master thread, a read thread, and a plurality of compute threads; wherein, the main control thread is: reading the total number of the calculated cannons, starting the reading thread and the plurality of calculating threads, reducing and storing energy of each cannon, and releasing the reading thread and the plurality of calculating threads to finish calculation after the calculation is finished; the read threads are: reading each seismic shot data in the seismic shot record data into a queue II; the computing thread is as follows: and acquiring the seismic shot data of each channel from the queue II, calculating the seismic shot energy of each channel and accumulating the seismic shot energy into the current shot energy of the current calculation thread.
The implementation mode realizes the specification of the seismic cannon energy through the main control thread, the reading thread and the plurality of calculation threads.
In one example, the specific steps of the master thread are as follows:
step 1, reading the total calculation cannon number x based on the seismic cannon record data, and starting a reading thread and a calculation thread;
step 2, waiting for the energy of the current seismic cannon to be calculated;
step 3, if the current seismic cannon energy is calculated, the seismic cannon energy is reduced and stored, and if the current seismic cannon energy is not calculated, the step 2 of the main control thread is skipped;
step 4, judging whether x-1 is 0, if x-1 is equal to 0, jumping to the step 5 of the main control thread, and if x-1 is equal to 0, jumping to the step 2 of the main control thread;
and 5, completing energy protocols of all seismic guns, and releasing the reading thread and the calculating thread.
In one example, the specific steps of reading the thread are as follows:
step 1, putting each seismic shot data in the seismic shot record data into a corresponding data structure body I in a queue II;
step 2, judging whether each track of data of the queue II is put into the queue II completely, if so, skipping to the step 1 of calculating the thread, and if not, skipping to the step 1 of reading the thread;
and step 3: and waiting for the read thread to be awakened, and jumping to the step 1 of the read thread after awakening.
In one example, the specific steps of computing a thread are as follows:
step 1, judging whether seismic shot data needing to be calculated exist in the queue II200, if so, acquiring a data structure I100 in the queue II200, calculating the seismic shot energy of the channel, and jumping to the step 2 of calculating the thread, and if not, jumping to the step 3 of reading the thread;
and 2, respectively judging whether the shot number of the current calculated seismic shot data is the same as the shot number of the previous seismic shot data, if so, accumulating the energy of the seismic shots with the corresponding shot numbers in the calculation thread, and jumping to the step 1 of the calculation thread, if not, judging whether the 'the corresponding shots have no track data mark' is true, if so, jumping to the step 3 of the main control thread, and if not, jumping to the step 1 of the calculation thread.
In one example, the data structure I includes a track data pointer, a number of a shot to which the track belongs, and no track data flag for the associated shot, and the queue II includes corresponding data structures I for all tracks.
It will be appreciated by persons skilled in the art that the above description of embodiments of the invention is intended only to illustrate the beneficial effects of embodiments of the invention and is not intended to limit embodiments of the invention to any of the examples given.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (4)
1. A method for parallelizing seismic shot energy, comprising:
creating a memory space and a queue II;
creating a main control thread, a reading thread and a plurality of computing threads;
wherein, the main control thread is: reading the total number of the calculated cannons, starting the reading thread and the plurality of calculating threads, reducing and storing energy of each cannon, and releasing the reading thread and the plurality of calculating threads to finish calculation after the calculation is finished;
the read threads are: reading each seismic shot data in the seismic shot record data into the queue II;
the computing thread is as follows: acquiring the seismic shot data of each channel from the queue II, calculating the seismic shot energy of each channel and accumulating the seismic shot energy into the current shot energy of the current calculation thread;
the main control thread comprises the following specific steps:
step 1, reading the total calculation cannon number x based on the seismic cannon record data, and starting a reading thread and a calculation thread;
step 2, waiting for the energy of the current seismic cannon to be calculated;
step 3, if the current seismic cannon energy is calculated, the seismic cannon energy is reduced and stored, and if the current seismic cannon energy is not calculated, the step 2 of the main control thread is skipped;
step 4, judging whether x-1 is 0, if x-1=0, jumping to step 5 of the main control thread, and if x-1 ≠ 0, jumping to step 2 of the main control thread;
step 5, completing the energy reduction of all seismic guns, and releasing the reading thread and the calculating thread;
the thread reading method comprises the following specific steps of:
step 1, putting each seismic shot data in the seismic shot record data into a corresponding data structure body I in a queue II;
step 2, judging whether each track of data of the queue II is put into the queue II completely, if so, skipping to the step 1 of calculating the thread, and if not, skipping to the step 1 of reading the thread;
and step 3: waiting for the read thread to be awakened, and jumping to the step 1 of the read thread after awakening;
the method comprises the following specific steps of calculating threads:
step 1, judging whether seismic shot data needing to be calculated exist in the queue II, if so, acquiring a data structure I in the queue II, calculating the seismic shot energy of the path, and jumping to the step 2 of the calculation thread, and if not, jumping to the step 3 of the reading thread;
and 2, respectively judging whether the shot number of the current calculated seismic shot data is the same as the shot number of the previous seismic shot data, if so, accumulating the energy of the seismic shots with the corresponding shot numbers in the calculation thread, and jumping to the step 1 of the calculation thread, if not, judging whether the 'the corresponding shots have no track data mark' is true, if so, jumping to the step 3 of the main control thread, and if not, jumping to the step 1 of the calculation thread.
2. The method of parallelizing processing of seismic shot energy of claim 1, wherein the data structure I comprises a trace data pointer, a shot number to which a trace belongs, and no trace data flag for the associated shot, and the queue II comprises the corresponding data structures I for all traces.
3. A system for parallelizing processing of seismic shot energy, comprising:
a unit for creating a memory space and a queue II;
a unit for creating a master thread, a read thread, and a plurality of compute threads;
wherein, the main control thread is: reading the total number of the calculated cannons, starting the reading thread and the plurality of calculating threads, reducing and storing energy of each cannon, and releasing the reading thread and the plurality of calculating threads to finish calculation after the calculation is finished;
the read threads are: reading each seismic shot data in the seismic shot record data into the queue II;
the computing thread is as follows: acquiring the seismic shot data of each channel from the queue II, calculating the seismic shot energy of each channel and accumulating the seismic shot energy into the current shot energy of the current calculation thread;
the main control thread comprises the following specific steps:
step 1, reading the total calculation cannon number x based on the seismic cannon record data, and starting a reading thread and a calculation thread;
step 2, waiting for the energy of the current seismic cannon to be calculated;
step 3, if the current seismic cannon energy is calculated, the seismic cannon energy is reduced and stored, and if the current seismic cannon energy is not calculated, the step 2 of the main control thread is skipped;
step 4, judging whether x-1 is 0, if x-1=0, jumping to step 5 of the main control thread, and if x-1 ≠ 0, jumping to step 2 of the main control thread;
step 5, completing the energy reduction of all seismic guns, and releasing the reading thread and the calculating thread;
the thread reading method comprises the following specific steps of:
step 1, putting each seismic shot data in the seismic shot record data into a corresponding data structure body I in a queue II;
step 2, judging whether each track of data of the queue II is put into the queue II completely, if so, skipping to the step 1 of calculating the thread, and if not, skipping to the step 1 of reading the thread;
and step 3: waiting for the read thread to be awakened, and jumping to the step 1 of the read thread after awakening;
the method comprises the following specific steps of calculating threads:
step 1, judging whether seismic shot data needing to be calculated exist in the queue II, if so, acquiring a data structure I in the queue II, calculating the seismic shot energy of the path, and jumping to the step 2 of the calculation thread, and if not, jumping to the step 3 of the reading thread;
and 2, respectively judging whether the shot number of the current calculated seismic shot data is the same as the shot number of the previous seismic shot data, if so, accumulating the energy of the seismic shots with the corresponding shot numbers in the calculation thread, and jumping to the step 1 of the calculation thread, if not, judging whether the 'the corresponding shots have no track data mark' is true, if so, jumping to the step 3 of the main control thread, and if not, jumping to the step 1 of the calculation thread.
4. The system for parallelized processing of seismic shot energy of claim 3, wherein the data structure I comprises a trace data pointer, a shot number to which a trace belongs, and no trace data flag for the associated shot, and the queue II comprises the corresponding data structure I for all traces.
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| CN102313903B (en) * | 2011-07-01 | 2014-04-16 | 中国海洋石油总公司 | Pre-stack time migration method in VTI medium based on wave equation extrapolation operator |
| CN102565854B (en) * | 2011-12-27 | 2013-07-31 | 中国科学院地质与地球物理研究所 | Mass data GPU (graphics processing unit) wave equation reverse time migration imaging method |
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