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An Innovative Spark Based Surface Consistent Residual Static Correction Method
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 81st EAGE Conference and Exhibition 2019, Jun 2019, Volume 2019, p.1 - 5
Abstract
Summary
In seismic data processing surface consistent residual static correction is usually done by serial computation which often takes a long time. Because of its multi-stage, iterative processing complex algorithm, parallelization is very difficult by normal ways. When the seismic data is huge, its parallel implementation cannot reach expected efficiency. This paper designed and implemented a way of parallel computation by Spark which can make surface consistent residual statics for data of TB order with high efficiency. Its application with field seismic data of 6TB has proven its feasibility and ability of linear acceleration. This Spark based processing is about 20 times faster than that by conventional ways.
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