Harmonic noise reduction opens the way for array size reduction in vibroseis™ operations

Meunier, J.; Bianchi, T.

doi:10.1190/1.1817354

Cited by 33 publications

(23 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the 2006 EAGE conference, C. Bagaini (3) compared several of these techniques. Harmonic noise reduction was indeed proposed in 2002 by Meunier & Bianchi (5) . At the 2002 EAGE conference, T. Bianchi (4) presented an experiment where various simultaneous acquisition techniques were compared.…”

Section: Increasing Vibroseis Source Density With Acceptable Costmentioning

confidence: 91%

See 1 more Smart Citation

The Road To Efficient Wide-Azimuth High-Density 3D Land Vibroseis Acquisition

Postel

Meunier

Bianchi³

et al. 2007

All Days

Self Cite

View full text Add to dashboard Cite

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractIt is becoming increasingly widely accepted that wide-azimuth 3D acquisition is the best way to improve imaging of complex and subtle traps. It is also claimed that high-density point source/point receiver acquisition constitutes the ultimate seismic acquisition technique. Clearly, both techniques require a considerable increase in equipment and density of both source and receiver points. How much is still a matter of debate. Currently most 3D vibroseis crews use two fleets of vibrators in flip-flop mode. The productivity depends on the sweep length and the time it takes to move from one VP to the next. The slip sweep technique is an attractive way of optimizing productivity to a level that can keep the cost of increasing source density within reasonable limits. The productivity increase with this technique is linked to a new parameter called the slip time (the minimum time interval between two consecutive SPs). In the real world, nothing is free and the price to be paid is that the data can be severely contaminated by harmonic noise due to the use of long sweeps combined with a very short slip-time. To overcome this problem, a method of harmonic noise reduction known as HPVA (High-Productivity Vibroseis Acquisition) has been developed. This method consists in estimating the harmonic noise in the vibroseis signature so that it can be subtracted. Several crews are now routinely using this technique with three to four fleets of vibrators. Recent 3D tests with 12 fleets of single vibrators also show very promising results which will be presented. Combined with a densification of the source grid, single-vibrator acquisition can bring either an improvement in data quality or an increase in productivity and opens the road to affordable dense, wide-azimuth seismic acquisition in desert environments.

show abstract

Section: Increasing Vibroseis Source Density With Acceptable Costmentioning

confidence: 91%

“…This process consists in harmonic noise estimation using the recorded force and in its subsequent subtraction from the data (5) . This process consists in harmonic noise estimation using the recorded force and in its subsequent subtraction from the data (5) .…”

Section: Figure 4: Single Vibrator Record After Harmonic Noise Reductionmentioning

confidence: 99%

The Road To Efficient Wide-Azimuth High-Density 3D Land Vibroseis Acquisition

Postel

Meunier

Bianchi³

et al. 2007

All Days

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Sorkin technique depends on phase difference between consecutive sweeps. Meunier and Bianchi (2002) proposed a technique to significantly reduce harmonic contamination in raw data from slip sweep acquisition. It can be demonstrated that harmonics up to M th order are suppressed (in this case the 2 nd harmonic actually corresponds to twice the fundamental).…”

Section: T E C H N I Q U E S U S E D F O R I M P R O V I N G V I B R mentioning

confidence: 99%

“…To improve the vibroseis data quality via numerical simulation, a procedure that is based on the previous work of Jeffryes (2002) and Meunier and Bianchi (2002) was proposed by Abd El-Aal (2010). This noise is of two types: environmental noise and source-generated noise.…”

Section: H a R M O N I C B Y H A R M O N I C A T T E N U A T I O N P mentioning

confidence: 99%

Harmonic by harmonic removal technique for improving vibroseis data quality

el-aal

2010

Geophysical Prospecting

View full text Add to dashboard Cite

In this paper, an improved method is presented to reduce vibrator harmonic distortion, one harmonic at a time and the method is illustrated with both simulated and field data. This method improves on the previous method that treated all the harmonics at once. The significant contribution in this procedure is a considerable reduction for the harmonics without any alteration for the weakest signals possibly present in positive and negative times. The core of the proposed technique depends on an accurate simulation for all the harmonics one by one existing in the positive and negative times of the data after cross‐correlation with the fundamental sweep and then subtracting the simulated harmonics from the original data using an optimization procedure. The steps and mathematical equations of the procedure are explained in detail in the body of the article in the section titled ‘harmonic by harmonic attenuation procedure’. Accordingly, a well‐developed procedure for enhancing the vibroseis data quality in both down‐ and up‐sweep data is illustrated. The procedure was tested on both synthetic and field data sets.

show abstract

“…Jeng (geofv001@ntnu.edu.tw) results of signal distortions and artifacts generated. Subtracting an estimate of the harmonic noise from the recorded data is the current main approach (Nyman and Gaiser, 1983;Butler and Russell, 1993;Jeffryes, 2002;Meunier and Bianchi, 2002;Butler and Russell, 2003;Saucier et al, 2006). The estimate includes the estimating of harmonic noise fundamental frequency, and amplitudes and phases of all harmonics.…”

Section: Introductionmentioning

confidence: 99%

A nonlinear method of removing harmonic noise in geophysical data

Jeng

Chen

2011

Nonlin. Processes Geophys.

View full text Add to dashboard Cite

Abstract.A nonlinear, adaptive method to remove the harmonic noise that commonly resides in geophysical data is proposed in this study. This filtering method is based on the ensemble empirical mode decomposition algorithm in conjunction with the logarithmic transform. We present a synthetic model study to investigate the capability of signal reconstruction from the decomposed data, and compare the results with those derived from other 2-D adaptive filters. Applications to the real seismic data acquired by using an ocean bottom seismograph and to a shot gather of the ground penetrating radar demonstrate the robustness of this method. Our work proposes a concept that instead of Fourier-based approaches, the harmonic noise removal in geophysical data can be achieved effectively by using an alternative nonlinear adaptive data analysis method, which has been applied extensively in other scientific studies.

show abstract

Harmonic noise reduction opens the way for array size reduction in vibroseis™ operations

Cited by 33 publications

References 1 publication

The Road To Efficient Wide-Azimuth High-Density 3D Land Vibroseis Acquisition

The Road To Efficient Wide-Azimuth High-Density 3D Land Vibroseis Acquisition

Harmonic by harmonic removal technique for improving vibroseis data quality

A nonlinear method of removing harmonic noise in geophysical data

Contact Info

Product

Resources

About