Technical Content

Porosity estimation using EMERGE for an onshore Abu Dhabi field. CGG processed the seismic and it was followed by seismic inversion. The P-impedance was further used in predicting the porosity. This porosity result very helpful to client to well planning and drilling to target ...

Pre-stack elastic inversion requires a reliable wavelet model. This wavelet model must take into account the angle dependency of the wavelet, as well as the time dependency. This is even more important for broadband data, as the wavelets exhibit more variations, due to the ...

We investigated how current least-squares reverse time migration (LSRTM) methods perform on subsalt images. First, we compared the formulation of data-domain vs. image-domain least-squares migration (LSM), as well as methods using single-iteration approximation vs. iterative inversion. Next, we examined the resulting subsalt images of ...

The importance of inverting jointly velocity and density parameters in full waveform inversion (FWI) is well established. In a former work we had proposed an innovative preserved amplitude FWI allowing improving the convergence rate of FWI. It was derived from preserved amplitude reverse time ...

Spectral broadening of migrated and stacked seismic images is a common method to enhance interpretability of reflection data. In this paper we propose a prestack AVA compliant spectral broadening approach based on non-stationary wavelet deconvolution. The algorithm employs AVA coupling in the prestack domain ...

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 ...

Most deblending approaches utilize coherency criteria in a certain domain to separate blended signals. Due to the presence of noise, such separation in the time domain can never be perfect. Conservative deblending is often performed in order to protect primary signals. As a consequence ...

OBN SRME that combines OBN and streamer data is known to be an effective way to predict surface-related multiples in OBN data. However, the available streamer data often have limited offset/azimuth coverage. Additionally, the double source wavelets due to the cross-convolution of OBN and ...

Offshore development requires detailed understanding of subsurface reservoirs and proper well placement. Use of all available information in an integrated reservoir model leads to improved production rates and higher EUR. Conventional methods use well logs, geologic information, and structure from seismic interpretation in static ...