A new 2-D traveltime tomography algorithm has been developed for use with long offset seismic streamer data. The forward problem is solved using initial value ray tracing in Delaunay triangulated grids. The traveltimes are calculated analytically. The linearised joint interface and velocity inversion is regularised via a geostatistical smoothing regularisation based on the formulation of a data...

Stochastic seismic inversion is a family of inversion algorithms in which the inverse solution was carried out using geostatistical simulation. In this work, a new 3D stochastic seismic inversion was developed in the MATLAB programming software. The proposed inversion algorithm is an iterative procedure that uses the principle of cross-over genetic algorithms as the global optimization techniqu...

In addition to seismic and well constraints, production data must be integrated into geostatistical reservoir models for reliable reservoir performance predictions. An iterative inversion algorithm is required for such integration and is usually computationally intensive since forward flow simulation must be performed at each iteration. This paper presents an efficient approach for generating f...

Stochastic seismic inversion is an important part of geostatistical method, and the combination sequence simulation. In process random inversion, firstly, histogram distribution variables counted, variation function calculated, range in different directions determined. Then, for each implementation, traces are synthesized at channel position according to calculated reflection coefficient, error...

During Phase 1 of the Weyburn Project (2000-2004), 4D reflection seismic data were used to map CO2 migration within the Midale reservoir, while an extensive fluid sampling program documented the geochemical evolution triggered by CO2-brine-oilmineral interactions. The aim of this task (3b.11) is to exploit these existing seismic and geochemical data sets, augmented by CO2/H2O injection and HC/H...

The purpose of seismic reservoir characterization is to predict the spatial distribution subsurface rock properties from a set direct and indirect measurements. Commonly, property volumes are obtained in two-steps approach. First, elastic inverted reflection data then used compute by applying calibrated physics models. Such an approach not only time consuming but may also lead biased results as...

This paper focuses on an overview of kernel density estimation especially for what concerns the choice of bandwidth and intensity parameters according to local conditions. A case study inherent seismic risk analysis of the old town centre of Potenza hilltop town has been discussed, with particular attention to the evaluation of the possible local amplifying factors. This first integrated applic...

the direct way to access the petrophysical property of hydrocarbon reservoir is based on well data but due to its high cost, the seismic data has been used to obtain these parameters. for this purpose, many different methods are available and each has its own advantages and limitations. from these methods the seismic inversion is the best tool to study the reservoir characterization. the outcom...

The aim of seismic inversion is mapping all of the subsurface structures from seismic data. Due to the band-limited nature of the seismic data, it is difficult to find a unique solution for seismic inversion. Deterministic methods of seismic inversion are based on try and error techniques and provide a smooth map of elastic properties, while stochastic methods produce high-resolution maps of el...