Dominique G. Gillard

Coherent and random noise attenuation using the curvelet transform

This paper discusses an effective approach to attenuate random and coherent linear noise in a 3D data set from a carbonate environment. Figure 1 illustrates a seismic inline section from a noisy 3D seismic cube. Clearly, the section in Figure 1 is corrupted by undesirable random noise and coherent noise that are linear and vertically dipping in nature

Spectral Decomposition Response to Reservoir Fluids From a Deepwater Reservoir

Summary Spectral decomposition of far-angle stack seismic data from a deepwater reservoir revealed that the oil leg has anomalously high amplitude at low frequencies. A systematic seismic forward modeling study was performed to understand the empirical observations and to identify the primary physical mechanisms. The first part of the study used a wedge model of reservoir sand containing different fluids (gas/oil/water) encased in shale. The second part of the study employed a stochastic simulation approach in which the properties and stacking pattern of the modeled reservoir interval were perturbed to span the range observed in the logs from wells that penetrated this reservoir. Each synthetic seismogram was spectrally decomposed and analyzed.