Technical Content

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 ...

A case study of Oligocene-Miocene sediments in East Java Basin, Indonesia. The work look into the depositional setting and paleogeography of subsurface by removing the struture in 3D seismic. The result have been correlated with regional geology and outcrop analog. The work is done ...

The success of any broadband survey is dependent upon the accuracy with which acquisition and environmental factors are compensated for in processing. Such compensation ideally involves directional source designature and deghosting along with receiver deghosting. Traditionally, receiver deghosting is applied in the shot domain ...

Making informed field development decisions requires taking uncertainty into account. Geostatistical inversion is a key technology for quantifying uncertainties using available seismic and well data. However, the common practice, consisting of choosing the "best possible" parameters, results in unrealistically small uncertainty estimates. In this ...

The size and complexity of the mega gas clouds in offshore Brunei pose severe imaging problems to the structures underneath. We present a comprehensive technical package to tackle the complex wave propagation and anelastic energy losses associated with these gas clouds. We started by ...

Deblending procedure for dense land/OBC/OBN acquisition based on sparsity promoted inverse problem. A general formulation for simulatneous source acquisitions is used to recover data from highly blended acqusition. This procedure uses cutting-edge mathematical tools from Compressed Sensing theory like l1-regularized inverse problem in the ...

In this paper, we propose an SVD-based (singular value decomposition) shear noise attenuation method that relies on P to drive the algorithm allowing a good signal preservation on Z. Using a fast SVD kernel, this method is suitable for large datasets. We demonstrate the ...

Removing the band limitation by the seismic source wavelet may further enhance the spatial resolution of seismic images after de-ghosting and amplitude attenuation compensation. In this abstract authors propose a new de-signature method that incorporates structural conformity constraint and sparse regularization into the inversion-based ...

While for reverse time migration deconvolution imaging condition offers the strongest possibility for source designature and compensation of illumination, cross-correlation-based imaging conditions are the most widely used due to their high stability. We propose here a general theoretical frame and practical solution for stabilizing ...