Work

A brief exploration of open-source gradient-based numerical optimization Python libraries for full-waveform inversion

Year: 2025

Type: article

Abstract: Geoscientists favor Python for its user-friendly interface and scientific packages that support application implementation. Python's capabilities make it particularly useful for seismic full waveform inversion (FWI), which can see its implementation time reduced by making use of its extensive library collection. We compare four open-source gradient-based optimization Python packages - scipy.optimize, sotb-wrapper, NLopt, and PyROL - for solving the FWI optimization problem. The comparison is based on the packages' core features, documentation, and learning curves evaluated through the implementation of a 2D time-domain FWI application, built using the Devito modeling engine along with the aforementioned optimization packages. We detail how one can use a particular solver from each package for the solution of a bound-constrained optimization problem such as FWI. The open-source FWI template models used to obtain the numerical results are provided.

Source: Seismica

DOI: 10.26443/seismica.v4i2.1475

Author: Oscar Mojica

Institutions: Serviço Nacional de Aprendizagem Industrial, Universidade SENAI CIMATEC

Language: English

Topic: Seismic Imaging and Inversion Techniques

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: diamond

Funders: SENAI CIMATEC, Petrobras

OpenAlex ID: W4413311295

FWCI:

Cites: 33

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Related to: 10