Javascript must be enabled to continue!
Beyond AVO: Examples of Elastic Impedance Inversion
View through CrossRef
Abstract
Elastic inversion provides an estimate of elastic parameters by the use of Amplitude Variations with Angle data. This information gives the geoscientist additional parameters for the interpretation of lithology, porosity and fluid type. By applying a stratigraphic inversion method to the angle volumes the seismic-wavelet effect is minimized thus reducing the likelihood of wavelet variations within the gathers causing false AVAs. Additionally inversion unravels both the amplitude shape and strength into an interval attribute as opposed to reflectivity that is an interface attribute. This allows a volumetric interpretation of the data producing more accurate understanding of the reservoir volume.
Introduction
Seismic attributes play a critical role in the efforts to reduce risk associate with reservoir prediction and description. Post stack inversion has proven to be a significant tool that allows geologic calibration and a volumetric understanding of the impedance data. This method allows the interpreter to go beyond contact event interpretation and begin understands the amplitude strength and wavelet shape and its relationship to the vertical and lateral impedance profiles. This begins the understanding of the spatial geologic parameters.
Acoustic impedance alone may not always be enough to describe the geologic parameters in complex environments. Acoustic impedance is the result of the Pwave velocity and density. The Pwave velocity is a function of the mineral constituents, the manner in which they are arranged and the pore volume fluid. In cases where two of these unknowns are constant the third parameter may be interpreted. However in cases where these are not constant ambiguous results will occur. When attempting to relate geologic parameters such aslithology, porosity, and fluid type in complex environments additional parameters related to the rock physics must be utilized. To provide these attributes elastic impedance inversion is used. When these additional elastic parameters are used with acoustic impedance they offer a strong tool for increasing the quality of the interpretation of lithology, porosity, and fluid type. Fig.1 shows the crossplot relationships of common lithologies and fluid types.
Fig. 1 Crossplot of P-wave velocity and Vp/Vs for various lithologies and fluids.(Available in full paper)
Method Overview
A common practice of the AVO analysis is to obtain the intercept and gradient from prestack data. These correspond to A and B terms in Shueys equation.
R(?)= A + Bsin2 ? + C sin2?tan2?
After these two parameters are calculated they may be transformed into parameters such as P reflectivity, S reflectivity, and Poisson's reflectivity. Although valuable attributes to assist in the interpretation of fluid type this method does not address the variations in wavelet and NMO stretching as a function of offset. In a previous paper by Cambois1 it was shown that variations in the wavelets may produce a false avo phenomenon referred to as "intercept leakage".
To address the wavelet variations Connolly2 developed a method called "elastic impedance". This method involves inverting the angle volumes for the angle dependant elastic impedance. These angle dependant elastic impedances can then be converted to P and S impedance.
Title: Beyond AVO: Examples of Elastic Impedance Inversion
Description:
Abstract
Elastic inversion provides an estimate of elastic parameters by the use of Amplitude Variations with Angle data.
This information gives the geoscientist additional parameters for the interpretation of lithology, porosity and fluid type.
By applying a stratigraphic inversion method to the angle volumes the seismic-wavelet effect is minimized thus reducing the likelihood of wavelet variations within the gathers causing false AVAs.
Additionally inversion unravels both the amplitude shape and strength into an interval attribute as opposed to reflectivity that is an interface attribute.
This allows a volumetric interpretation of the data producing more accurate understanding of the reservoir volume.
Introduction
Seismic attributes play a critical role in the efforts to reduce risk associate with reservoir prediction and description.
Post stack inversion has proven to be a significant tool that allows geologic calibration and a volumetric understanding of the impedance data.
This method allows the interpreter to go beyond contact event interpretation and begin understands the amplitude strength and wavelet shape and its relationship to the vertical and lateral impedance profiles.
This begins the understanding of the spatial geologic parameters.
Acoustic impedance alone may not always be enough to describe the geologic parameters in complex environments.
Acoustic impedance is the result of the Pwave velocity and density.
The Pwave velocity is a function of the mineral constituents, the manner in which they are arranged and the pore volume fluid.
In cases where two of these unknowns are constant the third parameter may be interpreted.
However in cases where these are not constant ambiguous results will occur.
When attempting to relate geologic parameters such aslithology, porosity, and fluid type in complex environments additional parameters related to the rock physics must be utilized.
To provide these attributes elastic impedance inversion is used.
When these additional elastic parameters are used with acoustic impedance they offer a strong tool for increasing the quality of the interpretation of lithology, porosity, and fluid type.
Fig.
1 shows the crossplot relationships of common lithologies and fluid types.
Fig.
1 Crossplot of P-wave velocity and Vp/Vs for various lithologies and fluids.
(Available in full paper)
Method Overview
A common practice of the AVO analysis is to obtain the intercept and gradient from prestack data.
These correspond to A and B terms in Shueys equation.
R(?)= A + Bsin2 ? + C sin2?tan2?
After these two parameters are calculated they may be transformed into parameters such as P reflectivity, S reflectivity, and Poisson's reflectivity.
Although valuable attributes to assist in the interpretation of fluid type this method does not address the variations in wavelet and NMO stretching as a function of offset.
In a previous paper by Cambois1 it was shown that variations in the wavelets may produce a false avo phenomenon referred to as "intercept leakage".
To address the wavelet variations Connolly2 developed a method called "elastic impedance".
This method involves inverting the angle volumes for the angle dependant elastic impedance.
These angle dependant elastic impedances can then be converted to P and S impedance.
Related Results
Bayesian joint residual moveout and amplitude-variation-with-offset inversion
Bayesian joint residual moveout and amplitude-variation-with-offset inversion
ABSTRACT
Residual moveout (RMO) can have a severe impact on seismic amplitude-variation-with-offset (AVO) analysis. It is, therefore, common practice to quality c...
AVO in transversely isotropic media; an overview
AVO in transversely isotropic media; an overview
Abstract
The amplitude variation with offset (AVO) responses of elastic transversely isotropic media are sensitive to contrasts in both of Thomsen's anisotropic p...
Elastic Attribute Generation From 3 Points Elastic Inversion
Elastic Attribute Generation From 3 Points Elastic Inversion
Abstract
The concept of Elastic Inversion (EI) has been generally accepted over the last few years in the exploration and production environment. EI reconstructs ...
Rock Physics Modelling and Stochastic Seismic Inversion to Predict Reservoir Properties and Quantify Uncertainties of a Complex Upper Jurassic Carbonate Reservoir From Offshore Abu Dhabi
Rock Physics Modelling and Stochastic Seismic Inversion to Predict Reservoir Properties and Quantify Uncertainties of a Complex Upper Jurassic Carbonate Reservoir From Offshore Abu Dhabi
Abstract
The need to understand field-scale reservoir heterogeneity using seismic data requires implementing advanced solutions such as stochastic seismic inversion ...
Stochastic Rock Physics Inversion
Stochastic Rock Physics Inversion
Abstract
The purpose of this paper is to introduce a stochastic seismic inversion algorithm based on Markov Chain Monte Carlo Simulation. The suggested inversion ...
Focusing AVO inversion based on the minimum gradient support regularization
Focusing AVO inversion based on the minimum gradient support regularization
Generally, regularization methods are adopted to decrease the non-uniqueness and instability of AVO inversion. In order to solve fuzzy boundaries and low focusing, the minimum grad...
Nonbright-spot AVO; two examples
Nonbright-spot AVO; two examples
Abstract
The use of amplitude variation with offset (AVO) attribute sections such as the product of the normal incidence trace (A) and the gradient trace (B) have...
Effects of attenuation and scattering on AVO measurements
Effects of attenuation and scattering on AVO measurements
Abstract
The trends and variance in amplitude variation with offset (AVO) observations caused by near-surface structure, attenuation, and scattering are numerical...

