permeability is a key parameter in reservoir characterization. in fact, without accurate information about reservoir permeability, there is no good solution for reservoir engineering problems. up to now, permeability values of a reservoir have been calculated through laboratory measurements or well testing methods. these methods are useful but they cannot describe a reservoir reliably and preci...

Vve examine seismic waves scattered from anisotropic heterogeneity with laboratory data and numerical modeling in order to develop modeling techniques for the characterization of fracture p'roperties in tight gas sands from surface seismic reflection data. Laboratory models representing features of a fractured reservoir were constructed using Phenolite (the "reservoir") embedded in a Lucite bac...

Reservoir characterization plays a crucial role in modern reservoir management. It helps to make sound reservoir decisions and improves the asset value of the oil and gas companies. It maximizes integration of multi-disciplinary data and knowledge and improves the reliability of the reservoir predictions. The ultimate product is a reservoir model with realistic tolerance for imprecision and unc...

Seismic reservoir characterization aims to transform obtained seismic signatures into reservoir properties such as lithofacies and pore fluids. We propose a Markov chain Monte Carlo (McMC) workflow consistent with geology, well‐logs, seismic data and rock‐physics information. The workflow uses a multiple‐point geostatistical method for generating realizations from the prior distribution...

The presence of natural fractures in reservoir rock can significantly enhance gas production, especially in tight gas formations. Any general knowledge of the existence, location, orientation, spatial density, and connectivity of natural fractures, as well as general reservoir structure, that can be obtained prior to active seismic acquisition and drilling can be exploited to identify key areas...

Heavy crude oil is known as oil that is highly viscous and of a higher density than that of conventional oil. Sand reservoirs containing heavy oil generally consist of unconsolidated sediments deposited at a shallow burial depth, with high porosity and permeability. In seismic exploration, acoustic impedance inversion is a commonly used tool in reservoir prediction. However, due to the unconsol...

Advanced seismic techniques such as prestack inversion or azimuthal analysis are now routinely adopted for quantitative reservoir characterization of rock properties and fracture indicators, however the quality of the input seismic data is critical to such advanced analyses. Frequency content, random and coherent noise, amplitude-preserving processing and gather flatness must be addressed at th...

Information about reservoir properties usually comes from two sources: seismic data and well logs. The former provide an indirect, low resolution image of rock velocity and density. The latter provide direct, high resolution (but laterally sparse) sampling of these and other rock parameters. An important problem in reservoir characterization is how best to combine these data sets, allowing the ...

Grain size distribution (sorting) is determined by deposition. It may affect sediment bulk and elastic properties in a non-linear and non-unique way. The quantification of these relations is important for seismic reservoir characterization, especially in geological settings where sand/shale (bimodal) mixtures are present. Below, effective-medium equations are introduced for calculating the poro...

A novel method for the integration of multi-scale rock and fluid information was performed on a single well deep-water exploration discovery. The method integrates diverse data types through physically constrained models into a single earth model. Development scenarios were optimized through multiple flow simulations. The development scenarios were designed to investigate the range of uncertain...