Elastic wave equation travel time and waveform inversion of crosshole seismic data

Changxi Zhou; Gerard T. Schuster; Siamak Hassanzadeh

doi:10.1117/12.187494

23 September 1994 Elastic wave equation travel time and waveform inversion of crosshole seismic data

Changxi Zhou, Gerard T. Schuster, Siamak Hassanzadeh

Proceedings Volume 2301, Mathematical Methods in Geophysical Imaging II; (1994) https://doi.org/10.1117/12.187494
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

We apply the elastic wave equation traveltime and waveform inversion (elastic WTW) method to the McElroy crosshole data. These data are characterized by a well offset of 184 ft and a wide-band source wavelet (250 - 2000 Hz). Numerical tests indicate that the following processing steps are necessary, but not sufficient, for successful waveform inversion: FK filtering of the upgoing and downgoing waves, FK-fan filter extraction of the PP and SS reflections, and balancing the amplitudes of the upgoing and downgoing reflections. To reduce the complexity of the data we follow the divide and conquer strategy, i.e., extract the PP reflections and SS reflections, then invert each wave mode separately. Numerical results show that the vertical spatial resolution of the WTW P-wave and S-wave tomograms are approximately 7 - 10 feet and 4 feet, respectively. This compares favorably to the 40 - 50 feet vertical resolution of the P-velocity tomogram obtained from the first arrival traveltime data. There is good to very good agreement between the sonic logs and the velocity from the WTW tomogram. These preliminary results demonstrate that high resolution Poisson ratio, S- velocity, and P-velocity tomograms can be extracted from crosshole data, and therefore can be used for lithological interpretation.

Citation Download Citation

Changxi Zhou, Gerard T. Schuster, and Siamak Hassanzadeh "Elastic wave equation travel time and waveform inversion of crosshole seismic data", Proc. SPIE 2301, Mathematical Methods in Geophysical Imaging II, (23 September 1994); https://doi.org/10.1117/12.187494

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Receivers

Data processing

Data modeling

Reflectivity

Spatial resolution

Bandpass filters

Digital filtering

Show All Keywords

Keywords/Phrases

Search In:

Publication Years