Prediction of Reservoir Properties Based on Seismic Inversion Technique of Full Stack 2D Seismic Data

2020

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DOI 10.3997/2214-4609.202037013
Data confidence 70 medium
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Abstract

Summary The methodology for constructing a model for the inversion of the acoustic impedance data was carried out on the area of the field of the Caspian basin. Inversion method allows us to move from seismic amplitudes to acoustic impedance and, if there are statistical relationships between the elastic parameters of the medium and the petrophysical characteristics of the reservoir, using regression equations, to predict the estimated parameters that can be used as trends in the construction of geological models Based on the method of inverting the acoustic data of the studied field, the porosity was distributed over the well data and the acoustic impedance a linear relationship was established, which made it possible to recalculate the acoustic impedance sections into porosity sections and use the porosity obtained by the inversion over the area when constructing the geological model as a trend. The obtained sections of acoustic stiffness were used to distinguish reservoirs with improved properties at a high quality level.