Method for rapidly processing large-area three-dimensional seismic data body
A three-dimensional seismic and seismic data technology, applied in the field of seismic exploration data processing and interpretation, can solve the problems of slow and unsatisfactory data processing efficiency, and achieve the effect of shortening waiting time, improving efficiency, and improving operation time.
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[0038] The best implementation mode of the present invention is as follows:
[0039] Taking part of the continuous 3D data on the right bank of the Amu Darya River as an example, the data includes beamlines SW41~108 excited by explosive sources and vibrators, with a total of 27472 shots, 46863423 channels, 877641 bins, and a coverage area of 548.5Km2 , the pre-stack data capacity is 359GB.
[0040] Pre-stack data processing stage:
[0041] During the processing of the 41st to 112th beamlines of the 3D contiguous Amu Darya River, considering that there are two types of source data that require some separate processing such as pre-stack noise suppression, wavelet shaping, etc., a total of 26 processing units are divided into controllable There are 18 processing units for seismic source data and 8 processing units for explosive source data, with an average data capacity of 13.8GB, the maximum data is 21.1GB, and the minimum data is 1.8GB. In actual processing, if there are 26...
Embodiment 2
[0048] As the best implementation mode of the present invention: the processing method subdivides the large-area three-dimensional data body into small processing units, and realizes simultaneous I / O and calculation of multiple nodes through flexible use of the global variable parameter database, thereby maximizing data processing efficiency . Including seismic data processing high-efficiency processing in the pre-stack stage, efficient processing in the stacking stage, and efficient processing in the pre-stack time migration stage.
[0049] (1) Efficient processing technology in the pre-stack stage
[0050] Efficient processing of seismic data in the pre-stack stage includes two aspects. On the one hand, pre-stack data is subdivided into smaller processing units for fast processing; on the other hand, surface consistent amplitude and deconvolution processing.
[0051] The implementation of subdivision processing unit job parallel processing requires the following steps:
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