Technical Content

Posing migration as an inverse or a least-squares problem can improve the quality of imaging. This class of techniques can resolve illumination issues and improve focusing. Standard iterative least-squares imaging can be expensive and results are often compromised. We present a procedure using matching ...

An integrated geological and petrophysical workflow was used to evaluate the Jurassic shale plays in southern England. It illustrates how sedimentological and electrofacies interpretations were integrated with QEMSCAN data to significantly improve petrophysical interpretations and TOC estimates from logs using the CARBOLOG method. Reservoir ...

Traditionally, the regularization step is performed independently for each time-lapse vintage. This disregards any geometrical limitations imposed by different surveys. Here we recast the regularization process as a minimization problem with model-space constraints. These constraints couple geometrical relations between surveys to improve repeatability. We ...

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 ...