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Applying Non-Local Means Filter on Seismic Exploration
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作者 Mustafa Youldash Saleh Al-Dossary +4 位作者 Lama AlDaej Farah AlOtaibi Asma AlDubaikil Noora AlBinali Maha AlGhamdi 《Computer Systems Science & Engineering》 SCIE EI 2022年第2期619-628,共10页
The seismic reflection method is one of the most important methods in geophysical exploration.There are three stages in a seismic exploration survey:acquisition,processing,and interpretation.This paper focuses on a pr... The seismic reflection method is one of the most important methods in geophysical exploration.There are three stages in a seismic exploration survey:acquisition,processing,and interpretation.This paper focuses on a pre-processing tool,the Non-Local Means(NLM)filter algorithm,which is a powerful technique that can significantly suppress noise in seismic data.However,the domain of the NLM algorithm is the whole dataset and 3D seismic data being very large,often exceeding one terabyte(TB),it is impossible to store all the data in Random Access Memory(RAM).Furthermore,the NLM filter would require a considerably long runtime.These factors make a straightforward implementation of the NLM algorithm on real geophysical exploration data infeasible.This paper redesigned and implemented the NLM filter algorithm to fit the challenges of seismic exploration.The optimized implementation of the NLM filter is capable of processing production-size seismic data on modern clusters and is 87 times faster than the straightforward implementation of NLM. 展开更多
关键词 Seismic exploration parallel programming seismic processing optimizing methods
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