Technical Content

Reliable low frequency content and phase alignment are critical for broadband seismic inversion and the prediction of reservoir properties. However, currently there is a lack of tools for ultra-low frequency (less than 5 Hz) quality and phase assessment. A focusing metric in the impedance ...

Until now, noise attenuation and interpolation processes based on rank reduction needed spatially regular, or at least binned, data. Here, we show how the low-rank signal model in joint low-rank and sparse inversion (JLRSI), a recently proposed convex optimization framework for simultaneous random plus ...

Simultaneous shooting increases acquisition efficiency by activating more than one source at the same time. This introduces blending noise that typically needs to be removed before data processing. We present a new deblending algorithm based on iterative annihilation filtering. The strategy attenuates coherent energy ...

Remotely detecting information about fractures and the stress field is an important objective in the development of unconventional and tight hydrocarbon reservoirs. Fractures and stress cause the earth to become anisotropic which is seismically observable. By observing the P-wave seismic amplitude variation with offset ...

Imaging PS-wave data acquired in the shallow water at Alwyn North with ROV-deployed ocean-bottom nodes presented particular challenges due to the sparsity of the receivers. Having ensured vector fidelity of all recorded wavefields, the processing flow made simultaneous use of the PP and PS ...

Changes in water velocity produce significant 4D noise in time-lapse images. To be addressed accurately, the water-velocity problem requires two major ingredients: 1) water velocity must be estimated accurately at all acquisition times and for all shot/receiver locations, 2) time-variable corrections to the data ...

Data acquired in shallow water environments often exhibit a strong acquisition pattern relating to variations in incidence angle, azimuth and source signature from inner to outer streamers. These variations must be accurately compensated for during processing to reveal a spatially consistent 3D image of ...

In an increasingly complex and challenging environment, CGG is building effective links between academia and industry and utilising new techniques to enhance hydrocarbon exploration success in a world where oil prices are highly volatile. In this environment there is increasing focus on risk reduction ...

The prediction of porosity is essential for the identification of productive hydrocarbon reservoirs in oil and gas exploration. Numerous useful technologies have been developed for porosity prediction in the subsurface, such as multiple attribute analysis, kriging, and cokriging. Kriging allows us to create spatial ...