Two field trials for deblending of simultaneous source surveys: why we failed and why we succeeded?

Abstract Currently, deblending is the main strategy for dealing with the intense interference problem of simultaneous source data. Most deblending methods are based on the property that useful signal is coherent while the interference is incoherent in some domains other than common shot domain. In this paper, two simultaneous source field trials were studied in detail. In the first trial, the simultaneous source survey was not optimal, as the dithering code had strong coherency and the minimum distance between the two vessels was also small. The chosen marine shot scheduling and vessel deployment made it difficult to deblend the simultaneous source data, and result was an unexpected failure. Next, we tested different parameters (the dithering code and the minimum distance between vessels) of the simultaneous source survey using the simulated blended data and got some useful insights. Then, we carried out the second field trial with a carefully designed survey that was much different from the first trial. The deblended results in common receiver gather, common shot gather or the final stacked profile were encouraging. We obtained a complete success in the second field trial, which gave us confidence in the further test (such as a full three dimensional acquisition test or a high-resolution acquisition test with denser spatial sampling). Remembering that failures with simultaneous sourcing seldom reported, in this paper, our contribution is the discussion in detail about both our failed and successful field experiments and the lessons we have learned from them with the hope that the experience gained from this study can be very useful to other researchers in the same field.

[1]  A. Berkhout,et al.  Illumination properties and imaging promises of blended, multiple‐scattering seismic data: a tutorial , 2012 .

[2]  A. Berkhout Changing the mindset in seismic data acquisition , 2008 .

[3]  Shaohuan Zu,et al.  A marine field trial for iterative deblending of simultaneous sources , 2016 .

[4]  Ray Abma Shot scheduling in simultaneous shooting , 2014 .

[5]  Jingwei Hu,et al.  Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization , 2014 .

[6]  Yangkang Chen,et al.  Separation of simultaneous sources using a structural-oriented median filter in the flattened dimension , 2016, Comput. Geosci..

[7]  Shaohuan Zu,et al.  Seismic imaging of simultaneous-source data using constrained least-squares reverse time migration , 2015 .

[8]  Rolf Baardman,et al.  An inversion approach to separating sources in marine simultaneous shooting acquisition – application to a Gulf of Mexico data set , 2012 .

[9]  S. Fomel,et al.  Shaping regularization in geophysical-estimation problems , 2007 .

[10]  Yi Luo,et al.  Simultaneous sources separation via multidirectional vector-median filtering , 2012 .

[11]  R. L. Abma,et al.  Separating Simultaneous Sources by Inversion , 2009 .

[12]  Bill Dragoset,et al.  Simultaneous Source Separation Using Dithered Sources , 2008 .

[13]  Shaohuan Zu,et al.  Separation of simultaneous vibroseis data , 2014 .

[14]  Jiang Yuan,et al.  Deblending using normal moveout and median filtering in common-midpoint gathers , 2014 .

[15]  Th. Krey ATTENUATION OF RANDOM NOISE BY 2‐D AND 3‐D CDP STACKING AND KIRCHHOFF MIGRATION* , 1987 .

[16]  A. Guitton,et al.  Attenuating crosstalk noise with simultaneous source full waveform inversion ★ , 2012 .

[17]  Gerrit Blacquière,et al.  Convergence analysis of a coherency‐constrained inversion for the separation of blended data , 2012 .

[18]  Yangkang Chen,et al.  A periodically varying code for improving deblending of simultaneous sources in marine acquisition , 2016 .

[19]  Joost van der Neut,et al.  Deblending by direct inversion , 2012 .

[20]  James Rickett,et al.  Simultaneous Source Separation By Sparse Radon Transform , 2008 .

[21]  G. Blacquière,et al.  Iterative method for the separation of blended seismic data: discussion on the algorithmic aspects , 2012 .

[22]  S. Qu,et al.  Velocity analysis of simultaneous-source data using high-resolution semblance—coping with the strong noise , 2016 .

[23]  Craig J. Beasley,et al.  A new look at marine simultaneous sources , 2008 .

[24]  M. Sacchi,et al.  Separation and reconstruction of simultaneous source data via iterative rank reduction , 2015 .

[25]  Ray Abma,et al.  Independent simultaneous source acquisition and processing , 2015 .

[26]  Yangkang Chen,et al.  Iterative Deblending With Multiple Constraints Based on Shaping Regularization , 2015, IEEE Geoscience and Remote Sensing Letters.

[27]  Mauricio D. Sacchi,et al.  Fast dual-domain reduced-rank algorithm for 3D deblending via randomized QR decomposition , 2016 .

[28]  Yangkang Chen,et al.  Seismic imaging of incomplete data and simultaneous-source data using least-squares reverse time migration with shaping regularization , 2016 .

[29]  Yangkang Chen,et al.  Simultaneous-Source Separation Using Iterative Seislet-Frame Thresholding , 2016, IEEE Geoscience and Remote Sensing Letters.

[30]  Yangkang Chen,et al.  Deblending of Simultaneous-source Seismic Data using Fast Iterative Shrinkage-thresholding Algorithm with Firm-thresholding , 2016, Acta Geophysica.

[31]  R. Abma,et al.  High Quality Separation of Simultaneous Sources by Sparse Inversion , 2010 .

[32]  Ray Abma,et al.  An Analysis On the Simultaneous Imaging of Simultaneous Source Data , 2010 .

[33]  Claudio Bagaini Overview of Simultaneous Vibroseis Acquisition Methods , 2006 .

[34]  Yangkang Chen,et al.  Damped multichannel singular spectrum analysis for 3D random noise attenuation , 2016 .

[35]  Gerrit Blacquière,et al.  Separation of blended data by iterative estimation and subtraction of blending interference noise , 2011 .