Successful multiple attenuation requires a broad portfolio of demultiple technologies, a flexible and integrated processing approach, combined with knowledge and experience.
With this in mind, WesternGeco has developed the most comprehensive portfolio of 3D multiple attenuation algorithms in the industry. The different technologies and workflows within the portfolio offer fit-for-purpose solutions that accommodate differing acquisition geometry (wide- or narrow-azimuth), spatial sampling, and structural complexity. Whatever the geological structure, water depth, or acquisition geometry, WesternGeco has a demultiple approach that will fit your requirements.
The portfolio is composed of a suite of proprietary multiple prediction methods based on both data-driven and model-based techniques.
Generalized Surface Multiple Prediction (GSMP), our industry-leading implementation of data-driven 3D surface-related multiple elimination (SRME) technology provides high-quality true-azimuth multiple predictions in all geophysical situations, and now includes an option for multiple surveys where data can be preferentially chosen to model multiples based upon user-selected criteria.
A patented 3D SRME implementation, providing efficient, high quality 3D multiple attenuation for narrow-azimuth acquisition geometries.
Provides a complementary approach to 3D SMP methods. WEMM uses a previously produced velocity model and migrated seismic image to compute a multiple model that can then be subtracted from the input data. This means that WEMM is independent of acquisition geometry, and is particularly applicable to wide-azimuth towed-marine surveys.
XIMP is our industry leading algorithm used to attenuate interbed multiples. These are most often a challenge on land datasets. The algorithm works with any input geometry, with no a priori information and accurately predicts multiples at true azimuth.
The application of 3D demultiple will significantly improve the quality of multiple attenuation over existing 2D methods. This leads directly to a superior image of your reservoir, and improved confidence in the result of subsequent reservoir characterization steps such as prestack inversion and AVO.