a SciTechnol journal Research Article
Chesnokov et al., J Phys Res Appl 2017, 1:1
Journal of Physics
Research and Applications
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3D Seismic Heterogeneity
Characterization for Karst, Fault
and Fold Imaging: Statistical
Approach
Chesnokov EM
1
*, Bayuk IO
2
and Tiwary DK
3
Abstract
The effective elastic properties
) (
∗
ijkl
C
of a random heterogeneous
medium can be presented in terms of average value ) ( > <
ijkl
C
and the fuctuation ) (
'
ijkl
C . In such medium, the amplitude of
spatial correlation function will have non-zero value because the
inclusions and matrix will have different elastic properties of. The
higher contrast between the inclusions and host rock, the higher
will be the amplitude of the spatial correlation function, and vice-
versa. The heterogeneities having smaller and larger slowness
are characterized by positive and negative normalized fuctuation,
respectively. Theoretical modeling results, based on normalized
fuctuation of traveltime slowness, to detect seismic heterogeneities
in 3D random media is shown. We have used the radius of the
spatial correlation function to calculate the extension of the inclusion
in X-, Y- and Z-direction to demarcate the shape of heterogeneity.
Upscaling of the physical properties of the medium is performed to
calibrate the result to the seismic frequency range by changing the
averaging window size. The properties of the medium inside the averaging
window are assumed statistically homogeneous. Results obtained from this
method show that as the size of the sliding window decreases the resolution
of the heterogeneity increases.
Keywords
Seismic heterogeneity; Intrinsic attenuation; Seismic amplitude
*Corresponding author: Evgeni M Chesnokov, Earth and Atmospheric
Science Department, University of Houston, USA, Tel: (713) 743-2579; E-mail:
emchesno@central.uh.edu
Received: September 25, 2017 Accepted: October 20, 2017 Published:
October 25, 2017
similarity of the adjacent waveforms in inline and crossline direction.
Tey used cross correlation technique on adjacent traces to compute
coherence coefcient from the seismic amplitude, and any changes in
the nature of the traces was attributed to the seismic heterogeneity or
discontinuity. Tree traces cross correlation algorithm was modifed
with the introduction of semblance and eigendecomposition based
coherence estimate [2-4]. Another well-known seismic attributes
to delineate seismic heterogeneity is spectral decomposition which
uses short-window Fourier transform to compare seismic waveform
to precomputed waveform [5,6]. Seismic attributes analysis is based
upon the concept to fnd: why the nature of one seismic trace is
diferent than others and fnding out geological and geophysical
reasons which may have attributed to these diferences.
Velocities and their attenuation are two fundamental properties of
the wave propagation that provide information about the saturation
and structure of in situ rocks [7]. In a random heterogeneous media
where size of the heterogeneity exceeds the wavelength of the
seismic wave, scattering attenuation becomes more pronounced [8].
Te seismic velocity changes are generally related to the physical
properties of the reservoir rocks, such as lithology, diferential
pressure, temperature, fuid saturation, fuid viscosity, frequency and
fuid mobility [9-15]. Te infuence of frequency on the seismic wave
propagation in elastic media and porous media is studied by Mukerji
and Mavko [16] and Vikhorev et al. [17], respectively.
We have used statistical approach to characterize heterogeneous
reservoir using the concept of normalized fuctuation; and the radius
and amplitude of the spatial correlation function, to delineate small
and large scale heterogeneity. Te question arises how the velocity
should be treated in order to determine the location and size of fault
or karst. In this work we suggest some characteristics derived from 3D
seismic data, which are helpful in solving the problem. Application
of normalized fuctuation, and correlation function amplitude and
radius to detect heterogeneity is rarely available in literature.
Geological Signifcance
Sedimentary rocks, with few exceptions, are characterized as
heterogeneous media whose physical properties changes from one
point to other in space. A geologic formation is not composed by a
single material but consists of a collection of diferent materials. Such
heterogeneous composition occurs in many geological media where
depositional processes that act over diferent characteristic time scales
induce spatial patterns with diferent characteristic spatial scales.
Commonly, a region having properties diferent than its adjacent
region is called a heterogeneous system (Figure 1a). In sedimentary
rock, lateral heterogeneities are generally related to the depositional
environment. But in some cases the lateral heterogeneities might
occur due to vertical throw of the faulted block across the fault plane
(Figure 1b) or fault plane (Figure 1c). Heterogeneity associated with
porosity, permeability, pore fuid properties, and conditions of pore
pressure, temperature, and stress are generally post depositional,
whereas lateral heterogeneities are caused by variations in the lithology
due to facies change are syn-depositional in nature. Some other large
scale post depositional heterogeneity, such as fold, fault can develop
due to regional tectonics whereas development of karst is the result
of dissolution of carbonate rock such as limestone and dolomite.
Introduction
Intrinsic attenuation and scattering are the two main causes of
the seismic attenuation. In an attenuating medium, scattering and
intrinsic attenuation afect diferently depending upon the size of
the heterogeneity and the wavelength of the propagating wave and
therefore, a medium becomes frequency dependent. Te traveltime of
seismic wave will be the refection of the medium through which the
wave has traveled. In a heterogeneous medium, each seismic trace is
supposedly unique because it travels through unique path and refects
the characteristics of the medium through that path. Te information
of the medium imbedded in the seismic traces can be deconvolved as
seismic attributes which can be used for reservoir characterization.
During the last fve decade, exploration geophysicists have come
up with more than ffy seismic attributes which have been applied
to reservoir characterization. Bahorich and Farmer [1] analyzed the