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Cgg Services Sa

Can Peng

Ping Wang

Gordon Poole

Suryadeep Ray

Stephen Y Chou

Henning Hoeber

Wendi Li

Rongxin Huang

Yunfeng Li

James Cooper

Shufeng Bai

Kawin Nimsaila

Hongzheng Jin

Arash Jafargandomi

Biniam Asmerom

Methods for processing seismic data acquired with non-impulsive moving sources are provided. Some methods remove cross-talk noise from the seismic data using emitted signal data and an underground formation's response estimate, which may be iteratively enhanced. Some methods perform resampling before a spatial or a spatio-temporal inversion. Some methods compensate for source's motion during the inversion, and/or are usable for multiple independently moving sources.

Processing seismic data acquired using moving non-impulsive sources

Computing device, computer instructions and method for improving accuracy of an image of a surveyed subsurface. The method includes a step of receiving seismic data (D) recorded with seismic sensors; a step of deghosting the seismic data (D) using a sparseinversion algorithm together with a low-rank optimization scheme and a high-cut filter to calculate ghost-free wave-fields (U(t,x,y)) in the time-space domain; and a step of processing the ghost-free wave-fields (U(t,x,y)) to generate the image of the surveyed subsurface.

Device and method for deghosting seismic data using sparse tau-p inversion

Methods and systems for optimized receiver-based ghost filter generation are described. The optimized ghost filter self-determines its parameters based on an iterative calculation of recorded data transformed from a time-space domain to a Tau-P domain. An initial ghost filter prediction is made based on generating mirror data from the recorded data and using a least squares technique during a premigration stage.

Premigration deghosting for marine streamer data using a bootstrap approach in Tau-P domain

Generating spectrally enhanced seismic data expresses seismic data as a convolution of reflectivity and a seismic source wavelet. This seismic source wavelet varies over a sampling interval and defining a total amount of energy over the sampling interval. An enhanced seismic source wavelet that is a single-valued energy spike that yields the total amount of energy over the sampling interval is generated. In addition, the reflectivity is modified to preserve amplitude variation with angle. The reflectivity is convoluted with the enhanced seismic source wavelet and residual energy is added to the convolution to generate the spectrally enhanced seismic data.

AVA compliant pre-stack frequency spectrum enhancement of seismic data

Methods and systems for shear noise attenuation based on matching vertical particle velocity data and pressure data are described. The shear noise attenuation is based on the fact that different stages of the analysis can be performed with different numbers of wavelet orientations. The analysis is performed for frequency sub-bands for all wave numbers and vice versa.

Shear noise attenuation and data matching for ocean bottom node data using complex wavelet transforms

Premigration deghosting of seismic data with a bootstrap technique

This invention relates to the fabrication of large area nanoimprint molds having complex patterns with minimal or no use of direct-writing, such as electron beam lithography, ion, laser beam, or mechanical beam lithography. This can be accomplished by forming a pattern of simple nanoscale features and converting the simple features into more complex nanoscale features by a process comprising shadow deposition. The process may also include steps of uniform deposition, etching and smoothing depending on the shape of the complex features.

Methods for fabricating large area nanoimprint molds

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Fulshear, TX, United States of America

Can Peng