Technical Content

Anisotropic parameter estimation is very challenging for new exploration areas where there are no wells. In an offshore survey of over 3000 km2 in the west of Africa, we used surface seismic data in a non-linear tomographic inversion to simultaneously estimate migration velocity and ...

Reverse Time Migration of Multiples (RTMM) adapted for OBN data with examples from deepwater Gulf of Mexico.

Standard joint AVO inversion of PP and PS seismic data rely on a registration process beforehand to align PP and PS data in a common time domain. This is a difficult step prone to error that may deteriorate the inversion results. We present a ...

The high costs associated with hydrocarbon exploration in deepwater have led to an increased business demand for acquisition and processing of high-resolution broadband seismic data. In this paper, we review our experience of working on the Shell Sandman 3D survey, which was acquired using ...

We present a two-step sequence to estimate uncertainties in lateral positioning of fault planes on 3D PSDM seismic images. The first step provides an approximate evaluation of what causes the uncertainties, how uncertainties are distributed in 3D space and what to expect within our ...

Conventional imaging does not deal adequately with absorption, especially in the case of strong anomalies. Over recent years, many authors have proposed to compensate the absorption loss effects inside of the migration through the use of an attenuation model. Q tomography has been developed ...

The importance of anisotropy in seismic imaging has been recognized for several decades. In recent years, a growing number of anisotropic applications of reverse time migration (RTM) and full waveform inversion (FWI) have attempted to account for anisotropic effects of the real-world subsurface physics ...

In shallow water environments, water-layer related multiples (WLRMs) typically dominate other classes of multiple, and achieving effective attenuation of WLRMs is of significant interest. When combined with an appropriate adaptive subtraction, Model-based Water-layer Demultiple (MWD) has been found to be highly effective in attenuating ...

Several methods have been proposed to improve the signal-to-noise ratio by attenuating incoherent noise, including prediction error filtering (Canales 1984), projection filtering (Soubaras 1995), and more recently rank reduction filtering. In this last category, we can differentiate eigenimage filtering (Trickett 2003), Cadzow / Singular ...