Prestack mid-value filtering (in Chinese)
- Geophysical Research Inst., Bureau of Oil Geophysical Prospecting, Zhuozhou City, Hebei Province (CN)
This paper describes mid-value filtering, a specific nonlinear smoothing filtering, and widely used in graphic processing, etc. Mid-value filtering before stack of seismic data can remove wild value (inconceivable particular big value) and improve signal-noise ratio. In view of big data volume before stack, computation efficiency of mid-value filtering is critical to its feasibility. The algorithm used here is sufficiently based on the properties of mid-value filtering, so that the computation efficiency is greatly improved. It is experimentally shown that prestack mid-value filtering can quite well eliminate wild value, abnormal traces as well as surface waves, and raise signal-noise ratio. After lateral low frequency noises are removed by high pass filtering, mid-value filtering works better.
- OSTI ID:
- 5158804
- Journal Information:
- Oil Geophysical Prospecting; (China), Vol. 27:3; ISSN 1000-7210
- Country of Publication:
- United States
- Language:
- Chinese
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99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
CHINA
OIL FIELDS
SEISMIC SURVEYS
DATA PROCESSING
COMPUTER CALCULATIONS
COMPUTER GRAPHICS
EFFICIENCY
NONLINEAR PROBLEMS
ASIA
GEOLOGIC DEPOSITS
GEOPHYSICAL SURVEYS
MINERAL RESOURCES
PETROLEUM DEPOSITS
PROCESSING
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020200* - Petroleum- Reserves
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990200 - Mathematics & Computers