elastic wave eld tomography with physical...

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Elastic wavefield tomography with physical constraints Yuting Duan * and Paul Sava Center for Wave Phenomena Colorado School of Mines

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  • Elastic wavefield tomography withphysical constraints

    Yuting Duan∗ and Paul Sava

    Center for Wave PhenomenaColorado School of Mines

  • Vp∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

  • Vs∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

  • Vp∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

  • Vs∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

  • Vp

  • Vs

  • isotropic wave equation

    ρü = (λ + 2µ)∇(∇ · u)− µ∇× (∇× u)

    I ρ : density

    I λ,µ: Lamé parameters

  • isotropic wave equation

    ü = α∇(∇ · u)− β∇× (∇× u)

    I α = λ+2µρI β = µρ

  • objective function J= JD + JM + JC

    J = JD + JM + JC

    I JD : data misfitI JM : geometrical constraintI JC : physical constraint

  • objective function J = JD+JM + JC

    JD =1

    2‖dp − do‖2

    I dp: predicted dataI do: observed data

  • ASM gradient

    ∂αJD∂βJD

    = ∑e

    −[∇(∇ · u)]T ? a[∇× (∇× u)]T ? a

    I u: state variableI a: adjoint variable

  • ASM gradient

    ∂αJD∂βJD

    = ∑e

    −[∇(∇ · u)]T ? a[∇× (∇× u)]T ? a

    I u: state variableI a: adjoint variable

  • ASM gradient

    ∂αJD∂βJD

    = ∑e

    −[∇(∇ · u)]T ? a[∇× (∇× u)]T ? a

    I u: state variableI a: adjoint variable

  • α

  • β

  • ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣RS

  • do

    dp

    dp − do

  • do

    dp

    dp − do

    P

  • do

    dp

    dp − do

    S

  • @@RP

    @@RS

    @@RP

    @@RS

  • @@RP

    @@RS

    @@RP @@R

    S

    @@RP

    @@RS

    @@RP @@R

    S

  • @@RP

    @@RS

    @@RP

    @@RS@@R

    P

    @@RS

    @@RP

    @@RS

  • @@RP

    @@RS

    @@RP

    @@RS@@R

    P

    @@RS

    @@RP

    @@RS

  • ∂αJD ∂βJD

  • improved model update

    I illumination compensation

    I parameter rebalancing

    I geometrical constraint

    I physical constraint

  • gradient

    ∂αJD∂βJD

    = ∑e

    −[∇(∇ · u)]T ? a[∇× (∇× u)]T ? a

  • gradient with illumination compensation

    ∂αJD∂βJD

    = ∑e

    − [∇(∇ · u)]

    T ? a

    ‖∇(∇ · u)‖2 ‖a‖2

    [∇× (∇× u)]T ? a‖∇ × (∇× u)‖2 ‖a‖2

  • ∂αJD ∂βJD

  • improved model update

    I illumination compensation

    I parameter rebalancing

    I geometrical constraint

    I physical constraint

  • isotropic wave equation

    ü = α∇(∇ · u)− β∇× (∇× u)

    I α = λ+2µρI β = µρ

  • isotropic wave equation

    ü = α∇(∇ · u)− βc∇× (∇× u)

    I α = λ+2µρ

    Iβc =

    µρ

    I c : scaling factor

  • ∂αJD ∂βJD

  • improved model update

    I illumination compensation

    I parameter rebalancing

    I geometrical constraint

    I physical constraint

  • objective function J = JD + JM+JC

    JM =1

    2‖Wα (α− ᾱ) ‖2 +

    1

    2‖Wβ

    (β − β̄

    )‖2

    I Wα,Wβ : inverse model covariance

    I ᾱ,β̄ : prior models

  • improved model update

    I illumination compensation

    I parameter rebalancing

    I geometrical constraint

    I physical constraint

  • hl

    hu

  • hl > 0

    hu < 0

  • objective function J = JD + JM + JC

    JC = −η∑

    x

    [log (−hu) + log (hl)]

    η : weighting parameter

  • hl > 0

    hu < 0

  • ∂αJC ∂βJC

  • α

  • α w/ constraints

  • β

  • β w/ constraints

  • ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

  • cross-well example

  • α

  • β

  • x z

  • x z

  • α

  • β

  • α

  • β

  • ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

    0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0

    ∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣∣

  • T

    S

  • conclusions

    multi-parameter inversion

    improved model update

    I illumination compensation

    I parameter rebalancing

    I geometrical constraint

    I physical constraint

  • α

    β

  • α

    β

    α

    β