Differential equation-based seismic data filtering

Technical Report · Fri May 01 00:00:00 EDT 1992

DOI:https://doi.org/10.2172/10159092· OSTI ID:10159092

Li, Jianchao; Larner, K

Suppressing noise and enhancing useful seismic signal by filtering is one of the important tasks of seismic data processing. conventional filtering methods are implemented through either the convolution operation or various mathematical transforms. In this paper, we describe a methodology for studying and implementing filters, which, unlike those conventional filtering methods, is based on solving differential equations in the time and space domain. We call this kind of filtering differential equation-based filtering (DEBF). DEBF does not require that seismic data be stationary, so filtering parameters can vary with every time and space point. Also, in 2-D and 3-D, DEBF has higher computational efficiency than do conventional multiple-trace filtering methods. Examples with synthetic and field seismic data show the DEBF methods presented here to be efficient and effective.

• Research Organization: Colorado School of Mines, Golden, CO (United States). Center for Wave Phenomena
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: FG02-89ER14079
• OSTI ID: 10159092
• Report Number(s): DOE/ER/14079-14; CWP-124; ON: DE92016282
• Resource Relation: Other Information: PBD: May 1992
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
42 ENGINEERING
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
SEISMIC DETECTION
IMAGE PROCESSING
SEISMIC WAVES
DATA PROCESSING
DIFFERENTIAL EQUATIONS
SEISMIC NOISE
SIGNAL-TO-NOISE RATIO
ALGORITHMS
THREE-DIMENSIONAL CALCULATIONS
580000
422000
990200
GEOSCIENCES
MINING AND UNDERGROUND ENGINEERING
MATHEMATICS AND COMPUTERS