A strategy for regional-scale FWI in the salt provinces offshore Brazil

Fruehn, Juergen; Greenwood, S. W.; O’Driscoll, R.; Jones, Ian F.; Brittan, John

doi:10.1190/segam2019-3201719.1

Cited by 3 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The construction of models consistent with observations of Earth's physical properties can be posed mathematically as solving an inverse problem referred to as full waveform inversion (FWI) (Lines and Newrick, 2004;Virieux and Operto, 2009;Fichtner, 2011;Brittan et al, 2013). FWI is used extensively in geophysical exploration studies in the search for raw materials such as oil and gas (Gras et al, 2019;Fruehn et al, 2019). The attraction of the FWI approach is the promise of deriving higher-fidelity models from acquired seismic data as compared to other less complex and less costly methods, for instance, time travel tomography (Lines and Newrick, 2004), normal moveout (NMO), Kirchhoff migration (Yilmaz, 2001), wave equation migration velocity analysis (WEMVA) (Sava and Biondi, 2004a, b), and wave field extrapolation migrations (Robein, 2010).…”

Section: Introductionmentioning

confidence: 99%

spyro: a Firedrake-based wave propagation and full-waveform-inversion finite-element solver

Roberts¹,

Olender²,

Franceschini³

et al. 2022

Geosci. Model Dev.

View full text Add to dashboard Cite

Abstract. In this article, we introduce spyro, a software stack to solve wave propagation in heterogeneous domains and perform full waveform inversion (FWI) employing the finite-element framework from Firedrake, a high-level Python package for the automated solution of partial differential equations using the finite-element method. The capability of the software is demonstrated by using a continuous Galerkin approach to perform FWI for seismic velocity model building, considering realistic geophysics examples. A time domain FWI approach that uses meshes composed of variably sized triangular elements to discretize the domain is detailed. To resolve both the forward and adjoint-state equations and to calculate a mesh-independent gradient associated with the FWI process, a fully explicit, variable higher-order (up to degree k=5 in 2D and k=3 in 3D) mass-lumping method is used. We show that, by adapting the triangular elements to the expected peak source frequency and properties of the wave field (e.g., local P-wave speed) and by leveraging higher-order basis functions, the number of degrees of freedom necessary to discretize the domain can be reduced. Results from wave simulations and FWIs in both 2D and 3D highlight our developments and demonstrate the benefits and challenges with using triangular meshes adapted to the material properties.

show abstract

Section: Introductionmentioning

confidence: 99%

spyro: a Firedrake-based wave propagation and full-waveform-inversion finite-element solver

Roberts¹,

Olender²,

Franceschini³

et al. 2022

Geosci. Model Dev.

View full text Add to dashboard Cite

show abstract

“…The construction of models consistent with observations of Earth's physical properties can be posed mathematically as solving an inverse problem referred to as full waveform inversion (FWI) (Lines and Newrick, 2004;Virieux and Operto, 2009;Fichtner, 2011;Brittan et al, 2013). FWI is used extensively in geophysical exploration studies in the search for raw materials such as oil and gas (Gras et al, 2019;Fruehn et al, 2019). The attraction of the FWI approach is the promise of deriving higher fidelity models from acquired seismic data as compared to other less complex and less costly methods (e.g., time travel tomography) (Lines and Newrick, 2004).…”

Section: Introductionmentioning

confidence: 99%

spyro: a Firedrake-based wave propagation and full waveform inversion finite element solver

Roberts¹,

Olender²,

Franceschini³

et al. 2021

Preprint

View full text Add to dashboard Cite

Abstract. In this article, we introduce spyro, a software stack to solve acoustic wave propagation in heterogeneous domains and perform full waveform inversion (FWI) employing the finite element framework from Firedrake, a high-level Python package for the automated solution of partial differential equations using the finite element method. The capability of the software is demonstrated by using a continuous Galerkin approach to perform FWI for seismic velocity model building, considering realistic geophysics examples. A time-domain FWI approach is detailed that uses meshes composed of variably sized triangular elements to discretize the domain. To resolve both the forward and adjoint-state equations, and to calculate a mesh-independent gradient associated with the FWI process, a fully-explicit, variable higher-order (up to degree k = 5 in 2D and k = 3 in 3D) mass lumping method is used. We show that, by adapting the triangular elements to the expected peak source frequency and properties of the wavefield (e.g., local P-wavespeed) and by leveraging higher-order basis functions, the number of degrees-of-freedom necessary to discretize the domain can be reduced. Results from wave simulations and FWIs in both 2D and 3D highlight our developments and demonstrate the benefits and challenges with using triangular meshes adapted to the material properties.

show abstract

“…The construction of models consistent with observations of Earth's physical properties can be posed mathematically as solving an inverse problem referred to as full waveform inversion (FWI) (Lines and Newrick, 2004;Fichtner, 2011;Brittan et al, 2013). FWI is used extensively in geophysical exploration studies in the search for raw materials such as oil and gas (Gras et al, 2019;Fruehn et al, 2019). The attraction of the FWI approach is the promise of deriving higher fidelity models from acquired seismic data as compared to other less complex and less costly methods (e.g., time travel tomography) (Lines and Newrick, 2004).…”

Section: Introductionmentioning

confidence: 99%