کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
506891 865062 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reducing disk storage of full-3D seismic waveform tomography (F3DT) through lossy online compression
ترجمه فارسی عنوان
کاهش ذخیره سازی دیسک از کامل 3D توموگرافی لرزه ای شکل موج (F3DT) از طریق فشرده سازی با اتلاف آنلاین
کلمات کلیدی
توموگرافی لرزه ای؛ توموگرافی کامل 3D. پراکندگی انتگرال روش؛ توموگرافی شکل موج. کامل شکل موج. تمام موج؛ فشرده سازی؛ فشرده سازی با اتلاف؛ فشرده سازی آنلاین
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• A new compressor is successfully integrated into F3DT-SI workflow.
• Disk storage in F3DT-SI is reduced by 10 times at least.
• I/O overhead in simulations and kernel calculations are reduced significantly.
• Realistic F3DT-SI inversions are now possible on small clusters.

Full-3D seismic waveform tomography (F3DT) is the latest seismic tomography technique that can assimilate broadband, multi-component seismic waveform observations into high-resolution 3D subsurface seismic structure models. The main drawback in the current F3DT implementation, in particular the scattering-integral implementation (F3DT-SI), is the high disk storage cost and the associated I/O overhead of archiving the 4D space-time wavefields of the receiver- or source-side strain tensors. The strain tensor fields are needed for computing the data sensitivity kernels, which are used for constructing the Jacobian matrix in the Gauss–Newton optimization algorithm. In this study, we have successfully integrated a lossy compression algorithm into our F3DT-SI workflow to significantly reduce the disk space for storing the strain tensor fields. The compressor supports a user-specified tolerance for bounding the error, and can be integrated into our finite-difference wave-propagation simulation code used for computing the strain fields. The decompressor can be integrated into the kernel calculation code that reads the strain fields from the disk and compute the data sensitivity kernels. During the wave-propagation simulations, we compress the strain fields before writing them to the disk. To compute the data sensitivity kernels, we read the compressed strain fields from the disk and decompress them before using them in kernel calculations. Experiments using a realistic dataset in our California statewide F3DT project have shown that we can reduce the strain-field disk storage by at least an order of magnitude with acceptable loss, and also improve the overall I/O performance of the entire F3DT-SI workflow significantly. The integration of the lossy online compressor may potentially open up the possibilities of the wide adoption of F3DT-SI in routine seismic tomography practices in the near future.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 93, August 2016, Pages 45–54
نویسندگان
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