Combining global optimization and boundary integral methods to robustly estimate subsurface velocity models

Malcolm, Alison and Ely, Gregory and Nicholls, David (2015) Combining global optimization and boundary integral methods to robustly estimate subsurface velocity models. SEG Technical Program Expanded Abstracts 2015, 2015. pp. 3729-3733. ISSN 1949-4645

[img] [English] PDF - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (909Kb)

Abstract

In this paper, we combine a fast wave equation solver using boundary integral methods with a global optimization method, namely Particle Swarm Optimization (PSO), to estimate an initial velocity model. Unlike finite difference methods that discretize the model space into pixels or voxels, our forward solver achieves significant computational savings by constraining the model space to a layered model with perturbations. The speed and reduced model space of the forward solve allows us to use global optimization methods that typically require numerous evaluations and few unknown variables. Our technique does not require an initial guess of a velocity model and is robust to local minima, unlike gradient descent frequently used in methods for both initial velocity model estimation and full waveform inversion. We apply our inversion algorithm to several synthetic data sets and demonstrate how prior information can be used to greatly improve the inversion.

Item Type: Article
URI: http://research.library.mun.ca/id/eprint/12773
Item ID: 12773
Keywords: modeling, inversion, frequency-domain, optimization, velocity
Department(s): Science, Faculty of > Earth Sciences
Date: 2015
Date Type: Publication
Related URLs:

Actions (login required)

View Item View Item

Downloads

Downloads per month over the past year

View more statistics