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Optimizing performance of data processingNormal access

Authors: Samuel Brown and Tony Martin
Journal name: First Break
Issue: Vol 37, No 12, December 2019 pp. 47 - 50
DOI: 10.3997/1365-2397.2019040
Language: English
Info: Article, PDF ( 1.84Mb )
Price: € 30

The industry associates data processing with the application of geophysical algorithms to seismic data, but this definition is too narrow. We should consider a broader meaning particularly in these times of increased automation, and time and cost consciousness. If processing is a method to produce information from the manipulation of data, then we should consider the framework that enables this process. A system must exist to facilitate the work. Generally, systems are a collection of computers, networks, processes and to a lesser extent people. For any given input, they create an output, which in seismic data processing can be the application of a geophysical algorithm, or it can be reordering, reducing or aggregating data. In this system, the headline grabbing geophysical process may only be a small part of the work. The underlying framework needs to be as efficient as it can be, either managing the data, enabling the geophysical process, or both.

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