By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Fresh data on Geoscience are presented in a new report. According to news originating from Beijing, People's Republic of China, by VerticalNews correspondents, research stated, "Prestack reverse time migration (RTM) requires extensive data storage since it computes wavefields in forward time and accesses wavefields in reverse order. We first review several successful schemes that have been proposed to reduce data storage, but require more computational redundancies."
Our news journalists obtained a quote from the research from the Chinese Academy of Science, "We propose two effective strategies to reduce data storage during RIM. The first strategy is based on the Nyquist sampling theorem, which involves no extra computational cost. The fact is that the time sampling intervals required by numerical algorithms or given by field records is generally several times smaller than that satisfied by the Nyquist sampling theorem. Therefore, we can correlate the source wavefields with the receiver wavefields at the Nyquist time step, which helps decrease storage of time history. The second strategy is based on a lossless compression algorithm, which is widely used in computer science and information theory. The compression approach reduces storage significantly at a little computational cost."
According to the news editors, the research concluded: "Numerical examples show that the two proposed strategies are effective and efficient."
For more information on this research see: Two effective approaches to reduce data storage in reverse time migration. Computers & Geosciences, 2013;56():69-75. Computers & Geosciences can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Computers & Geosciences - www.elsevier.com/wps/product/cws_home/398)
The news correspondents report that additional information may be obtained from W.J. Sun, Chinese Academy Sci, Inst Geol & Geophys, Key Lab Earths Deep Interior, Beijing 100029, People's Republic of China.
Keywords for this news article include: Asia, Beijing, Geoscience, Information Technology, People's Republic of China, Information and Data Storage
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