Joint inversion of seismic and gravity gradiometry data using Gramian constraints
- Wei Lin (University of Utah) | Michael Zhdanov (University of Utah, TechnoImaging, and MIPT)
- Document ID
- Society of Exploration Geophysicists
- 2017 SEG International Exposition and Annual Meeting, 24-29 September, Houston, Texas
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Exploration Geophysicists
- Inversion, Seismic, 3D, Gravity
- 0 in the last 30 days
- 18 since 2007
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This paper develops a method of joint inversion of seismic and gravity gradiometry data based on the concept of a Gramian stabilizer, which enforces the linear relationships between the different model parameters and their attributes or transforms. We take into account the existence of empirical linear relationships between the log density and log seismic velocity according to Gardner's equation, and use this relationship in the construction of the corresponding Gramian stabilizer. At the same time, the developed algorithm does not require a priori knowledge of the specific parameters of the correlation between the density and velocity, and instead provides the means to find these parameters from the inversion without actual measurement of the physical properties of the rock samples. The developed algorithm of joint inversion is based on modeling the seismic responses using the integral equation (IE) method. The regularized inversion involves minimization of the Tikhonov parametric functional with a Gramian stabilizer using the regularized conjugate gradient method.
Presentation Date: Tuesday, September 26, 2017
Start Time: 10:35 AM
Presentation Type: ORAL
|File Size||1 MB||Number of Pages||5|
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