Kennett elastic wave avo modelling hampson russell

He is now North America services manager. He has led the development and users support of the AVO analyser, a tool for computing and interpreting AVO anomalies used worldwide for reservoir and processing teams. He headed up the seismic reservoir characterisation and Hampson-Russell group in Villahermosa, Mexico and served as the manager of the technology centre in the Villahermosa office. He was also part of the time processing group for two years prior to joining the reservoir group performing AVO, rock physics and AVO modelling, seismic inversion, pore pressure prediction, and other. He joined CGGVeritas in 1999 as part of the depth-imaging group. His experience includes seismic reservoir characterisation, pore pressure prediction, interpretation, petrophysics, pre-stack depth migration, time processing, and research and geophysics development. He holds a masterвЂ™s degree (geophysics) (Institut Francais du PГ©trole). Gabino Castillo is a geophysical advisor at CGGVeritas Hampson-Russell. This study shows an integrated workflow based on pre-stack azimuthal seismic data analysis and well log information to identify sweet spots, estimate geo-mechanical properties, and quantify in-situ principal stresses. This analysis provides rock property estimations such as PoissonвЂ™s ratio and YoungвЂ™s modulus, among others, which in turn relate to quantitative reservoir properties such as porosity and brittleness. Jhon is considered an outstanding expert-user of oil industry geo-software such as Landmark, GeoFrame, Paradigm, IHS Kingdom, Petrel, TRANSFORM, FracMan, Hampson & Russell, etc.

Pre-stack seismic data can assist with identifying the sweet spots-productive areas-in CSG resource plays by detailed reservoir-oriented gather conditioning followed by pre-stack seismic inversion and multi-attribute analysis. The characterisation of CSG plays involves the understanding of the reservoir matrix properties as well as the in-situ stresses and fracturing that will determine optimal production zones. Extending this analysis to CSG reservoirs needs to consider additional reservoir quality parameters while implementing a similar quantitative approach on the interpretation of seismic data and correlation with borehole logging observations. These quantitative estimations of fracture density provide valuable insight that helps optimise drilling and completion programs, particularly in tight reservoirs. Recent research shows the significance of advanced seismic processing in the successful recovery of reliable fracture estimations, which directly correlates to borehole observations.

Recent studies have shown a correlation between these measurements that provide quantitative estimations of fracture density from 3D wide-azimuth seismic data in tight-gas sand reservoirs. Within the past decade, new developments in seismic azimuthal anisotropy have identified a link between fracture density and orientation observed in well logs and the intensity and orientation of the actual anisotropy.

Kennett elastic wave avo modelling hampson russell