A procedure for optimally removing localized coherent noise

Linville, A. Frank; Meek, Robert

doi:10.1190/1.1443746

Cited by 44 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From their Figure 12 (f-k displays of raw and filtered VSP data), it can be seen that the median filter was ineffective at higher (above 70 Hz) frequencies. Linville and Meek (1995) developed a multichannel coherent noise reduction algorithm which still needs to prove its effectiveness for the suppression of tube-wave events.…”

Section: Rationale On the Use Of Svd Techniquementioning

confidence: 99%

Tube Wave Suppression in High Frequency Mine Seismic Data by Singular Value Decomposition

Teakle¹,

Cao

Greenhalgh

1995

Exploration Geophysics

View full text Add to dashboard Cite

Crosswell and VSP seismic survey data are frequently contaminated by coherent noise trains in the form of direct tube waves and tube-wave-to-body-wave conversions. The problem was especially acute in a recent high resolution underground seismic experiment that was conducted in a hard rock environment. Conventional processing, such as fk filtering, was ineffective in suppressing such noise events.A procedure, based on singular value decomposition (SVD) of a seismic section, was employed for cancelling coherent tube-wave related noise. An eigen-analysis splits the section into linearly independent eigenimages. Each eigenimage is a characteristic content of the seismic record. Its energy contribution to the total energy of the seismic section is represented by the magnitude of its corresponding eigenvalue. The leading eigenimages, obtained after windowing and flattening, represent high amplitude and correlatable energies such as tube wave noise. The trailing eigenimages represent low amplitude and least correlatable energy such as random background noise. Useful records can be extracted by subtracting those eigenimages dominated by the noise from the total seismic gather.The optimal removal of the tube waves requires the amplitude balancing of traces and the precise alignment of the tube wave event across the traces before eigen-analysis. The procedure is illustrated through application to reversed VSP data acquired in a metalliferous mine. Superior results are obtained in comparison to that of a conventional f-k filter.

show abstract

Section: Rationale On the Use Of Svd Techniquementioning

confidence: 99%

Tube Wave Suppression in High Frequency Mine Seismic Data by Singular Value Decomposition

Teakle¹,

Cao

Greenhalgh

1995

Exploration Geophysics

View full text Add to dashboard Cite

show abstract

“…They travel along the surface of the earth with velocity/frequency dispersion. Their dispersive nature makes them to mask the shallow reflections, at short offsets, and deep reflections, at long offsets [2,3]. Ground rolls most often constitute a problem for onshore seismic datasets since they do not carry useful information about the deep surface which most times is the target of interest.…”

Section: Introductionmentioning

confidence: 99%

Design of an Optimal High Pass Filter in Frequency - Wave Number (F-K) Space for Suppressing Dispersive Ground Roll Noise from Onshore Seismic Data

Adizua¹,

Inchinbia²,

Ekine³

2017

ujpa

View full text Add to dashboard Cite

The ultimate goal in seismic signal processing (pre-processing or main processing) is to enhance the signal to noise ratio (S-N-R). In this study, two high pass (low cut frequency) filters were designed in frequency-wave number (F-K) space and applied to onshore 3D seismic data acquired from a typical Niger Delta field to suppress dispersive ground roll in a bid to enhance S-N-R. The seismic shot records were initially displayed to show the seismic data ensembles in the conventional offset-time (X-T) domain. A frequency-wave number spectrum was then created using a VISTA software algorithm to analyze the spectral patterns of the signals and noise. Two high pass filters were then designed in the F-K space to mute the low frequency ground roll from the data. The filters were then applied to the entire seismic data ensemble for the filtering operation. The results obtained after the two filtering operations were compared to ascertain the optimal filter which was most effective for the suppression of the unwanted ground roll noise.

show abstract

“…However, methods such as f-k filtering perform poorly when data is acquired with non-uniform spatial sampling or when the coherent noise in the data is spatially aliased (LINVILLE and MEEK, 1995), and fail to separate noise from signal when they share the same dip (KARSLI and BAYRAK, 2003;HAINES et al, 2007). In some situations, such as when dealing with preserved amplitude data, this method must be avoided (FATTI et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Incorporation of a Non-linear Image Filtering Technique for Noise Reduction in Seismic Data

Ferahtia

Baddari

Djarfour

et al. 2010

Pure Appl. Geophys.

View full text Add to dashboard Cite

Seismic noise is a fundamental part of seismic data which cannot be avoided when conducting any seismic survey. It consists of coherent and random noise. Noise removal or filtering is one of the major concerns in the field of seismic processing. In this paper, we introduce an image filtering technique based on a detection-estimation algorithm for Gaussian and random noise removal in seismic data, namely the trilateral filter, based on a statistic called rank-ordered absolute differences. The non-linear and adaptive behaviour of this filter makes it very robust in the presence of random and coherent noise, in addition to its computational simplicity and its ability to automatically identify noise in data. We have modified the strategy of trilateral filtering by adapting the rank-ordered absolute differences formula in order to extract the signal component. We have successfully used this filter for the removal of surface waves and random spiky noise from synthetic and field data. Results are very encouraging and show the superiority of this filter compared with other filters, particularly when used recursively.

show abstract

A procedure for optimally removing localized coherent noise

Cited by 44 publications

References 12 publications

Tube Wave Suppression in High Frequency Mine Seismic Data by Singular Value Decomposition

Tube Wave Suppression in High Frequency Mine Seismic Data by Singular Value Decomposition

Design of an Optimal High Pass Filter in Frequency - Wave Number (F-K) Space for Suppressing Dispersive Ground Roll Noise from Onshore Seismic Data

Incorporation of a Non-linear Image Filtering Technique for Noise Reduction in Seismic Data

Contact Info

Product

Resources

About