Ronan Sablon
CGG
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Publication
Featured researches published by Ronan Sablon.
Seg Technical Program Expanded Abstracts | 2011
Ronan Sablon; Damien Russier; Oscar Zurita; Danny Hardouin; Bruno Gratacos; Robert Soubaras; Dechun Lin
Summary Variable-depth streamer acquisition is becoming a key technique for providing wide bandwidth seismic data. Varying the receiver depth creates wide receiver ghost diversity and produces a spectacular increase in the frequency bandwidth. However, compared to conventional data, this variable-depth streamer data implies a major challenge in processing: how to deal with various receiver ghosts. The ghosts have to be preserved up to the deghosting step. Here we present the implication for the following de-multiple methods: Shallow-Water Demultiple, Tau-P deconvolution and Surface-related multiples elimination in deep and shallow water environments.
Seg Technical Program Expanded Abstracts | 2011
Dechun Lin; Ronan Sablon; Yan Gao; Damien Russier; Vincent Durussel; Vera Romano; Bruno Gratacos; Robert Soubaras; Peter Whiting
Summary Variable-depth streamer acquisition is emerging as a key technique for providing wide bandwidth seismic data. With several data sets acquired across the world, it has consistently produced high quality images in terms of seismic resolution, layer stratigraphy and low-frequency penetration. By varying receiver depth, variable-depth streamer acquisition introduces receiver ghost diversity over different offsets. Such diversity enables a joint deconvolution method to fully remove the receiver ghost. Variable-depth streamer data also tends to be less noisy due to the deep tow of cables. These two factors allow variabledepth streamer data to have a spectrum from 2.5 Hz up to the source notch. Challenges in processing include: how to maintain the full bandwidth in the data, how to effectively remove multiples, and how to robustly build a velocity model. This paper will discuss each of these challenges and their solutions.
74th EAGE Conference and Exhibition - Workshops | 2012
Yves Lafet; L. Michel; Ronan Sablon; D. Russier; R. Hanumantha
The quality of an inversion depends on the seismic frequency content, the signal-to-noise ratio, the wavelet, and the low frequency model used to incorporate information outside the seismic bandwidth. In order to quantify the benefits of broadband seismic data for inversion, we compare pre-stack inversion results from conventional streamer and variable depth streamer data from NW Australia. The inversion results are combined with a Bayesian fluid classification scheme to map three rock facies and quantify associated uncertainty.
74th EAGE Conference and Exhibition - Workshops | 2012
Dechun Lin; Yves Lafet; Ronan Sablon
Variable-depth streamer acquisition is emerging as a key technique for providing wide-bandwidth seismic data. This technique allows us to obtain a usable bandwidth from 2.5 Hz up to the source notch. It has consistently produced high-quality images in terms of seismic resolution, layer stratigraphy and low-frequency penetration. Seismic interpretation and inversion becomes easier and more robust.
Seg Technical Program Expanded Abstracts | 2013
Risto Siliqi; Thierry Payen; Ronan Sablon; Karine Desrues
Seg Technical Program Expanded Abstracts | 2013
Ronan Sablon; Thierry Payen; Helene Tonchia; Risto Siliqi; Xavier Labarre; Nicolas Salaun
Archive | 2013
Ronan Sablon
Seg Technical Program Expanded Abstracts | 2012
Thomas Rebert; Ronan Sablon; Nicolas Vidal; Robert Soubaras
Seg Technical Program Expanded Abstracts | 2016
Ronan Sablon; Celine Lacombe; Jean-Michel Déprey
Seg Technical Program Expanded Abstracts | 2015
Feng Yang; Ronan Sablon; Robert Soubaras