--> Abstract: A Novel Approach to Reservoir Characterization Using Seismic Inversion, Rock Physics and Bayesian Classification Scheme, by Nader C. Dutta; #90077 (2008)
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A Novel Approach to Reservoir Characterization Using Previous HitSeismicNext Hit Previous HitInversionNext Hit, Rock Physics and Bayesian Classification Scheme

Nader C. Dutta
WesternGeco, USA
[email protected]

Rock-physics analysis can provide the relationship between the parameters (or Previous HitseismicNext Hit attributes) that govern Previous HitseismicNext Hit-wave propagation (e.g. Vp, Vs and density in isotropic media) and the reservoir property of interest, such as rock or fluid type, porosity, pressure and saturation. In this process, we need to account for the quality of the Previous HitseismicNext Hit Previous HitdataNext Hit and derive the appropriate uncertainties associated with the Previous HitseismicNext Hit Previous HitdataNext Hit, such as noise, resolution, and Previous HitinversionNext Hit artifacts into the reservoir property estimation. In this presentation, we show how to quantitatively propagate Previous HitseismicNext Hit Previous HitdataNext Hit quality issues such as resolution, noise, and Previous HitinversionNext Hit accuracy into the lithology estimation in a clastic basin. The method consists of several steps: Previous HitseismicNext Hit Previous HitinversionNext Hit to obtain elastic parameters, petrophysical well-log analysis to define a classification scheme based on Bayes’ Theory and probability density functions (PDF); upscaling the PDF’s to Previous HitseismicNext Hit scale using Backus’ Theory and finally, applying the final scheme on Previous HitseismicNext Hit attributes (Vp, Vs and density) derived Previous HitfromNext Hit the first step. The use of full-waveform Previous HitinversionNext Hit and Bayesian classification techniques provides a mathematical framework that enables us to model and directly relate Previous HitdataNext Hit quality input into the uncertainty associated with reservoir properties prediction. The final output of this process is a map in 2-D and a cube in Previous Hit3-DNext Hit, of rock and fluid types with confidence levels associated with each property at each common mid-point (CMP) and time sample. We illustrate the procedure with examples Previous HitfromNext Hit several clastics basins: Gulf of Mexico and India. This methodology can be easily Previous HitappliedNext Hit to Previous HitdataNext Hit Previous HitfromNext Hit carbonates areas as well where Previous HitinversionTop techniques are known to yield porosity, pay and fracture properties.

 

AAPG Search and Discovery Article #90077©2008 GEO 2008 Middle East Conference and Exhibition, Manama, Bahrain