By Topic

An approach for random media parameter estimation using seismic reflection data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
M. G. Imhof ; Dept. of Earth Atmos. & Planetary Sci., MIT, Cambridge, MA, USA ; M. N. Toksoz

The traditional approach in seismic imaging assumes homogeneous layers with constant seismic velocities. In the real Earth, layers have numerous small-scale variations of properties (e.g., the seismic P-wave velocity) which are so irregularly distributed that they can no longer be described by deterministic models; statistical approaches have to be used instead. They can be described only by their stochastic properties. In this paper, every distinctive layer is described by its mean velocity, its variance, and a spatial autocorrelation function. This velocity model is transformed into a model for the autocorrelation of the corresponding impulse response. The parameters for this model are then estimated by the minimum least square method using stacked and migrated seismic sections as input. The method is applied to a real seismic data set. Additional borehole data is used to estimate one of the parameters independently and thus to test the approach

Published in:

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on  (Volume:5 )

Date of Conference:

9-12 May 1995