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A Parallel Extraction Method for Massive Seismic Data

A technology for seismic data and data, applied in the field of geophysical exploration, can solve problems such as complex parallel algorithms, and achieve the effects of reducing occupancy and access, simple and easy methods, and improving management capabilities and operational efficiency.

Active Publication Date: 2018-05-08
CHINA PETROLEUM & CHEM CORP +1
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  • Description
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Problems solved by technology

Parallel algorithms are usually more complex, and the difficulty is how to subtly divide the algorithm tasks and input data, and at the same time precisely control the synchronization between processes and threads to obtain the best parallel speedup ratio

Method used

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  • A Parallel Extraction Method for Massive Seismic Data
  • A Parallel Extraction Method for Massive Seismic Data
  • A Parallel Extraction Method for Massive Seismic Data

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Embodiment Construction

[0031] Such as figure 1 As shown, the massive seismic data parallel extraction method proposed by the present invention includes two or more parallel data sorting steps, wherein:

[0032] The first-level data parallel sorting step includes parallel local sorting of the original seismic data, and global sorting of the parallel local sorting results, and the global sorting result is output as the processing result of the current level for use in the second-level data parallel sorting step;

[0033] The second-level and other-level data parallel sorting steps include parallel partial sorting of the processing results of the previous level of data parallel sorting steps, and the parallel partial sorting results are output as the current level of processing results for use in the subsequent level of data parallel sorting steps;

[0034] The parallel local sorting includes dividing the original seismic data or the processing results of the previous level data parallel sorting step i...

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Abstract

The present invention relates to a method for parallel extraction of massive seismic data, which includes a multi-level data parallel sorting step, the first level data parallel sorting step includes parallel local sorting of original seismic data, and global sorting of parallel local sorting results, The global sorting result is output as the processing result of this level for use in the second level data parallel sorting step; the second level and other level data parallel sorting steps include parallel local sorting of the processing results of the previous level data parallel sorting step, parallel local sorting The sorting result is output as the processing result of the current level, and is used in the parallel sorting step of the subsequent level of data; parallel local sorting includes dividing the original seismic data or the processing results of the parallel sorting step of the previous level of data into multiple data packets and distributing them to multiple parallel nodes , each parallel node sorts the data in the data packet according to the sorting key; the global sorting includes adjusting the sequence among the data sorting results of each parallel node according to the sorting key. The invention effectively shortens the extraction time of the way collection.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a method for parallel collecting gathers of massive seismic data. Background technique [0002] Nowadays, with the deepening of exploration and development of oil and gas fields, the exploration targets are becoming more and more hidden, and the acquisition accuracy is getting higher and higher. It is necessary to use high-resolution seismic exploration and four-dimensional seismic exploration and other high-tech for field exploration. The seismic data collected in this field The amount of data has also increased exponentially, so the seismic data processing system must have the ability to manage massive (TB-level) data, not only to access a large number of data files, but also to access and process data at a high speed. Different data processing algorithms need to input seismic data in different domains, such as common shot point (CSP), common midpoint (CMP) or c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 黄忠玉刘兰锋魏修成季玉新
Owner CHINA PETROLEUM & CHEM CORP
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