Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm. / Zunino, A.; Mosegaard, K.

80th EAGE Conference and Exhibition 2018 Workshop Programme. Copenhagen, Denmark : European Association of Geoscientists and Engineers, EAGE, 2018. (80th EAGE Conference and Exhibition 2018 Workshop Programme).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Zunino, A & Mosegaard, K 2018, Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm. in 80th EAGE Conference and Exhibition 2018 Workshop Programme. European Association of Geoscientists and Engineers, EAGE, Copenhagen, Denmark, 80th EAGE Conference and Exhibition 2018 Workshop Programme, 80th EAGE Conference and Exhibition 2018 Workshop Programme, Copenhagen, Denmark, 10/06/2018. https://doi.org/10.3997/2214-4609.201801971

APA

Zunino, A., & Mosegaard, K. (2018). Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm. In 80th EAGE Conference and Exhibition 2018 Workshop Programme European Association of Geoscientists and Engineers, EAGE. 80th EAGE Conference and Exhibition 2018 Workshop Programme https://doi.org/10.3997/2214-4609.201801971

Vancouver

Zunino A, Mosegaard K. Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm. In 80th EAGE Conference and Exhibition 2018 Workshop Programme. Copenhagen, Denmark: European Association of Geoscientists and Engineers, EAGE. 2018. (80th EAGE Conference and Exhibition 2018 Workshop Programme). https://doi.org/10.3997/2214-4609.201801971

Author

Zunino, A. ; Mosegaard, K. / Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm. 80th EAGE Conference and Exhibition 2018 Workshop Programme. Copenhagen, Denmark : European Association of Geoscientists and Engineers, EAGE, 2018. (80th EAGE Conference and Exhibition 2018 Workshop Programme).

Bibtex

@inproceedings{cc150fb826714a23a63eb0dccc9ade3e,
title = "Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm",
abstract = "Seismic traveltime tomography is a popular methodology used to infer the velocity structure of the subsurface (Cerveny, 2001; Nolet, 2008) which has been used across all the scales from near surface imaging to global seismology. In near surface seismology inversion for traveltime is employed to construct velocity models used for further processing of seismic data and crucial to correctly assess deep structures. Formally, the relationship between velocity and traveltime can be described by the eikonal equation (Nolet, 2008), a nonlinear partial differential equation describing the arrival time for a given velocity model as a function of position. Solving numerically the eikonal equation (Vidale, 1988; Podvin and Lecomte, 1991; Rawlinson and Sambridge, 2004) for a given source, provides the traveltime at all grid nodes at once, hence saving a substantial amount of computational time compared to the traditional ray-tracing approach.",
author = "A. Zunino and K. Mosegaard",
year = "2018",
month = jan,
day = "1",
doi = "10.3997/2214-4609.201801971",
language = "English",
series = "80th EAGE Conference and Exhibition 2018 Workshop Programme",
publisher = "European Association of Geoscientists and Engineers, EAGE",
booktitle = "80th EAGE Conference and Exhibition 2018 Workshop Programme",
note = "80th EAGE Conference and Exhibition 2018 Workshop Programme ; Conference date: 10-06-2018 Through 15-07-2018",

}

RIS

TY - GEN

T1 - Integrating gradient information with probabilistic traveltime tomography using the Hamiltonian Monte Carlo algorithm

AU - Zunino, A.

AU - Mosegaard, K.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Seismic traveltime tomography is a popular methodology used to infer the velocity structure of the subsurface (Cerveny, 2001; Nolet, 2008) which has been used across all the scales from near surface imaging to global seismology. In near surface seismology inversion for traveltime is employed to construct velocity models used for further processing of seismic data and crucial to correctly assess deep structures. Formally, the relationship between velocity and traveltime can be described by the eikonal equation (Nolet, 2008), a nonlinear partial differential equation describing the arrival time for a given velocity model as a function of position. Solving numerically the eikonal equation (Vidale, 1988; Podvin and Lecomte, 1991; Rawlinson and Sambridge, 2004) for a given source, provides the traveltime at all grid nodes at once, hence saving a substantial amount of computational time compared to the traditional ray-tracing approach.

AB - Seismic traveltime tomography is a popular methodology used to infer the velocity structure of the subsurface (Cerveny, 2001; Nolet, 2008) which has been used across all the scales from near surface imaging to global seismology. In near surface seismology inversion for traveltime is employed to construct velocity models used for further processing of seismic data and crucial to correctly assess deep structures. Formally, the relationship between velocity and traveltime can be described by the eikonal equation (Nolet, 2008), a nonlinear partial differential equation describing the arrival time for a given velocity model as a function of position. Solving numerically the eikonal equation (Vidale, 1988; Podvin and Lecomte, 1991; Rawlinson and Sambridge, 2004) for a given source, provides the traveltime at all grid nodes at once, hence saving a substantial amount of computational time compared to the traditional ray-tracing approach.

UR - http://www.scopus.com/inward/record.url?scp=85068010373&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.201801971

DO - 10.3997/2214-4609.201801971

M3 - Article in proceedings

T3 - 80th EAGE Conference and Exhibition 2018 Workshop Programme

BT - 80th EAGE Conference and Exhibition 2018 Workshop Programme

PB - European Association of Geoscientists and Engineers, EAGE

CY - Copenhagen, Denmark

T2 - 80th EAGE Conference and Exhibition 2018 Workshop Programme

Y2 - 10 June 2018 through 15 July 2018

ER -

ID: 230792995