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Progress on 3D inversion using simple regularization.

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This commit is contained in:
D Fournier
2016-01-28 18:39:13 -08:00
parent 45a5ab556e
commit d718ffd3a3
5 changed files with 1454 additions and 11 deletions
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simpegPF/Dev/Intgrl_MAG_Inv_Driver.py
+29 -6
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@@ -115,21 +115,29 @@ survey.dobs=d
diagA = np.sum(F**2.,axis=0) + beta_in*np.ones(nC)
PC = sp.spdiags(diagA**-1., 0, nC, nC);
reg = Regularization.Tikhonov(mesh, mapping=wrMap)
# Create mesh with unit cells to remove dimensions from regularization
hx = np.ones(mesh.nCx)
hy = np.ones(mesh.nCy)
hz = np.ones(mesh.nCz)
meshreg = Mesh.TensorMesh([hx,hy,hz], mesh.x0)
reg = Regularization.Simple(mesh, mapping=wrMap)
reg.mref = mref
#reg.alpha_s = 1.
dmis = DataMisfit.l2_DataMisfit(survey)
dmis.Wd = wd
#opt = Optimization.ProjectedGNCG(maxIter=6,lower=-1.,upper=1.)
opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1.)
opt.approxHinv = PC
opt = Optimization.InexactGaussNewton(maxIter=6)
# opt = Optimization.InexactGaussNewton(maxIter=6)
invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = beta_in)
beta = Directives.BetaSchedule(coolingFactor=8, coolingRate=2)
#betaest = Directives.BetaEstimate_ByEig()
target = Directives.TargetMisfit()
inv = Inversion.BaseInversion(invProb, directiveList=[beta, target])
reg.alpha_s =0.0025
inv = Inversion.BaseInversion(invProb, directiveList=[beta,target])
m0 = mstart
# Run inversion
@@ -146,4 +154,19 @@ pred = F.dot(mrec)
PF.Magnetics.plot_obs_2D(rxLoc,pred,wd,'Predicted Data')
PF.Magnetics.plot_obs_2D(rxLoc,(d-pred),wd,'Residual Data')
print "Final misfit:" + str(np.sum( ((d-pred)/wd)**2. ) )
print "Final misfit:" + str(np.sum( ((d-pred)/wd)**2. ) )
#%% Plot out a section of the model
plt.figure()
ax = plt.subplot(211)
mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5)
plt.title('Inverted model')
plt.xlabel('x');plt.ylabel('z')
plt.gca().set_aspect('equal', adjustable='box')
ax = plt.subplot(212)
mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=midx-12)
plt.title('Inverted model')
plt.xlabel('x');plt.ylabel('z')
plt.gca().set_aspect('equal', adjustable='box')