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GeoRef Categories
Era and Period
Epoch and Age
Book Series
Date
Availability
Review of physics-informed machine-learning inversion of geophysical data Available to Purchase
Seismic inversion by Newtonian machine learning Open Access
Wave-equation dispersion inversion of Love waves Available to Purchase
Zero-offset sections with a deblurring filter in the time domain Available to Purchase
Migration of viscoacoustic data using acoustic reverse time migration with hybrid deblurring filters Available to Purchase
Interferometric full-waveform inversion Available to Purchase
Wave-equation traveltime inversion with multifrequency bands: Synthetic and land data examples Available to Purchase
Multiparameter deblurring filter and its application to elastic migration and inversion Available to Purchase
Superresolution imaging using resonant multiples Available to Purchase
Multiscale phase inversion of seismic data Available to Purchase
Q -least-squares reverse time migration with viscoacoustic deblurring filters Available to Purchase
Wave-equation migration velocity analysis using plane-wave common-image gathers Available to Purchase
Skeletonized wave-equation inversion in vertical symmetry axis media without too much math Available to Purchase
Least-squares reverse time migration with local Radon-based preconditioning Available to Purchase
Elastic least-squares reverse time migration Available to Purchase
Opportunities and pitfalls in surface-wave interpretation Available to Purchase
Abstract Introduction to Seismic Inversion: Seismic inversion, or tomography, is the procedure for reconstructing earth properties from seismic data. The tomogram is presented graphically as a two- or three-dimensional (2D or 3D) grid of pixels, in which each pixel contains the model parameter of interest, such as the velocity value or its reciprocal value known as slowness. An example is shown in Figure 1.1, which is a vertical slice of a 3D tomogram inverted from first-arrival traveltimes picked from seismic data. These arrivals are assumed to propagate mostly along the dashed raypaths (see Figure 1.2a) from the source at s to the geophone g, and they are recorded as a seismic trace. An actual set of traces recorded for one shot is shown in Figure 1.2b, and Figure 1.3 depicts several rays associated with different types of events. Appendix 1A provides an overview of exploration seismology.
Introduction to Gradient Optimization Available to Purchase
Abstract Introduction to Gradient Optimization: The unconstrained optimization problem for the real-valued functional f(x) is defined as finding the optimal model vector x*that satisfies the following condition.