The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data
نویسندگان
چکیده
منابع مشابه
Visualization System of Massive 2D Seismic Data
With the fast development of Visualization Technology, massive data need to be converted into intuitive graphics in more and more areas, such as in oil and geological exploration fields. In order to achieve highly efficient visualization of 2D seismic data, the following important methods are employed to improve the speed of rendering. The first method is to process massive data in point coordi...
متن کاملFaults and fractures detection in 2D seismic data based on principal component analysis
Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...
متن کاملSeismic Data Compression Using 2D Lifting-Wavelet Algorithms
Different seismic data compression algorithms have been developed in order to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transformation, quantization and coding. The Wavelet transform is highly used to compress seismic data, due to the capabilities of the Wavelets on representing geophysical events in seism...
متن کاملCharacterising Seismic Data
When a seismologist analyses a new seismogram it is often useful to have access to a set of similar seismograms. For example if she tries to determine the event, if any, that caused the particular readings on her seismogram. So, the question is: when are two seismograms similar? To define such a notion of similarity, we first preprocess the seismogram by a wavelet decomposition, followed by a d...
متن کاملCosparse seismic data interpolation
Many modern seismic data interpolation and redatuming algorithms rely on the promotion of transform-domain sparsity for high-quality results. Amongst the large diversity of methods and different ways of realizing sparse reconstruction lies a central question that often goes unaddressed: is it better for the transform-domain sparsity to be achieved through explicit construction of sparse represe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Visualization and Computer Graphics
سال: 2008
ISSN: 1077-2626
DOI: 10.1109/tvcg.2008.170