2012
DOI: 10.1111/j.1365-246x.2012.05644.x
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Joint inversion ofP-wave velocity and density, application to La Soufrière of Guadeloupe hydrothermal system

Abstract: SUMMARY We present the result of a 3‐D gravity and P‐wave traveltime joint inversion applied to the hydrothermal system of La Soufrière of Guadeloupe. The joint inversion process is used here to overcome the different resolution limitations attached to the two data sets. P‐wave traveltimes were obtained from three active seismic surveys that were conducted from 2001 to 2007. Gravity data collected during a microgravity campaign is described in a companion paper. We use a joint inversion process based on a Baye… Show more

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Cited by 36 publications
(32 citation statements)
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“… Horizontal cross‐sections (1350, 1300 and 1250 m a.s.l.) of the density model derived by Coutant et al (2012) from the gravity data by Gunawan (2005). The thick red curves separate the well‐resolved regions (resolution >0.9, in bright colours) from the poorly resolved ones (in dim colours).…”
Section: Comparison With Geology Geo‐electrical and Gravity Datamentioning
confidence: 99%
See 3 more Smart Citations
“… Horizontal cross‐sections (1350, 1300 and 1250 m a.s.l.) of the density model derived by Coutant et al (2012) from the gravity data by Gunawan (2005). The thick red curves separate the well‐resolved regions (resolution >0.9, in bright colours) from the poorly resolved ones (in dim colours).…”
Section: Comparison With Geology Geo‐electrical and Gravity Datamentioning
confidence: 99%
“…The thick red curves separate the well‐resolved regions (resolution >0.9, in bright colours) from the poorly resolved ones (in dim colours). For more details, see Coutant et al (2012).…”
Section: Comparison With Geology Geo‐electrical and Gravity Datamentioning
confidence: 99%
See 2 more Smart Citations
“…They definitively helped to improve the understanding of structural settings and their control on volcanic activity. Gravity inversions are typically performed using finely discretized models and leastsquare methods that seek smooth property variations (e.g., Coutant et al, 2012) or methods that seek the appropriate location, shape and volume of anomalies with predefined density contrasts Montesinos et al, 2005). The first category refers to linear inverse problems that are easily solved, but the resulting models have smoothly varying property variations that make the identification of geological contacts difficult.…”
Section: Introductionmentioning
confidence: 99%