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Finish script to extract 2D model from 3D mesh and write DCIP files

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Compare SimPEG vs DCIP2D vs DCIP3D on Mt Isa synthetic model
Invert Mt Isa synthetic 2D line. Dipole-Dipole sucks... need another setup/
This commit is contained in:
D Fournier
2015-12-08 17:31:19 -08:00
parent 20585bad09
commit b3ceccf303
49 changed files with 8783 additions and 35739 deletions
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simpegDCIP/Dev/DCIP2D/dcinv2d.log
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Parallelized with OpenMP. # of threads: 4
DCIP2D - Version 5 (BETA) 20110811: DCINV2D
Developed by University of British Columbia
Geophysical Inversion Facility (UBC-GIF)
(C) Copyright 1992 - 2011, UBC-GIF,
Department of Earth and Ocean Sciences, UBC
http://www.eos.ubc.ca/research/ubcgif/
Distributed by:
Mira Geoscience Ltd.
DCINV2D started on:12/08/2015 17:11:12
Reading input file: dcinv2d.inp
----------------------------------------------
OBS LOC_X FWR_3D_2_2D.dat
MESH FILE Mesh_2D.msh
CHIFACT 10
TOPO DEFAULT
INIT_MOD DEFAULT
REF_MOD VALUE 1e-1
ALPHA DEFAULT
WEIGHT DEFAULT
STORE_ALL_MODELS TRUE
INVMODE SVD
USE_MREF TRUE
----------------------------------------------
maximum # of iterations: 100
data were read from: FWR_3D_2_2D.dat
# of current locations: 29
# of data: 182
chifact: 1.00000E+01
target misfit: 1.82000E+03
mesh was read from: Mesh_2D.msh
# of cells: 91 x 45
total # of cells: 4095
# of active cells: 4095
# of unique data locations: 29
# of wave values: 13
2.5000E-04 4.9901E-04 9.9606E-04 1.9882E-03 3.9685E-03 7.9213E-03 1.5811E-02 3.1560E-02 6.2996E-02 1.2574E-01 2.5099E-01 5.0099E-01 1.0000E+00
reference conductivity model is set to a constant: 1.000000E-01
initial model is set to the reference model.
using default length scales (Lx, Lz): ( 8.00000E+01, 8.00000E+01)
corresponding alpha (a_s, a_x, a_z): ( 1.56250E-04, 1.0000E+00, 1.0000E+00)
Using basis vectors and SVD.
reference model will be used in the derivative terms.
number of basis vectors: 57 + 3 + 1 = 61
init cpu time: 0:00:00.19
initial misfit = 1.20080E+05
init. model norm = 0.00000E+00
norm comp Ws = 0.00000E+00
norm comp Wx = 0.00000E+00
norm comp Wz = 0.00000E+00
Iteration 1
beta vs. misfit:
beta misfit
5.39457E+02 5.41076E+04
6.78941E+02 6.29718E+04
1.49367E+03 8.32498E+04
2.98734E+03 9.37811E+04
chosen beta = 6.31603E+02
target misfit = 6.00398E+04
achieved misfit = 6.03730E+04
model norm = 1.88364E+01
misfit change = 4.97226E-01
model norm change = 0.00000E+00
norm comp Ws = 8.27046E+00
norm comp Wx = 5.77044E+00
norm comp Wz = 4.79552E+00
iter cpu time: 0:00:01.81
Iteration 2
beta vs. misfit:
beta misfit
1.57901E+02 1.71638E+05
3.15802E+02 2.71289E+04
6.31603E+02 2.38219E+04
7.86032E+02 3.17368E+04
1.26321E+03 5.04487E+04
chosen beta = 7.56581E+02
target misfit = 3.01865E+04
achieved misfit = 3.02637E+04
model norm = 3.81202E+01
misfit change = 4.98721E-01
model norm change = 1.02375E+00
norm comp Ws = 1.70820E+01
norm comp Wx = 1.13965E+01
norm comp Wz = 9.64173E+00
iter cpu time: 0:00:01.86
Iteration 3
beta vs. misfit:
beta misfit
1.89145E+02 4.58243E+03
3.78290E+02 1.03135E+04
5.24901E+02 1.46009E+04
5.42867E+02 1.51069E+04
5.43753E+02 1.51317E+04
1.35938E+03 3.42157E+04
chosen beta = 5.43758E+02
target misfit = 1.51319E+04
achieved misfit = 1.51319E+04
model norm = 5.40288E+01
misfit change = 4.99999E-01
model norm change = 4.17327E-01
norm comp Ws = 2.41470E+01
norm comp Wx = 1.73570E+01
norm comp Wz = 1.25248E+01
iter cpu time: 0:00:02.34
Iteration 4
beta vs. misfit:
beta misfit
1.35940E+02 2.80648E+03
2.71879E+02 6.12611E+03
3.27929E+02 7.46284E+03
3.32230E+02 7.56392E+03
3.32316E+02 7.56593E+03
8.30790E+02 1.78551E+04
chosen beta = 3.32316E+02
target misfit = 7.56594E+03
achieved misfit = 7.56594E+03
model norm = 6.83143E+01
misfit change = 5.00000E-01
model norm change = 2.64406E-01
norm comp Ws = 2.94508E+01
norm comp Wx = 2.36755E+01
norm comp Wz = 1.51880E+01
iter cpu time: 0:00:02.17
Iteration 5
beta vs. misfit:
beta misfit
8.30790E+01 1.98945E+03
1.66158E+02 3.60086E+03
1.76017E+02 3.78526E+03
chosen beta = 1.75894E+02
target misfit = 3.78297E+03
achieved misfit = 3.78297E+03
model norm = 8.19887E+01
misfit change = 5.00000E-01
model norm change = 2.00169E-01
norm comp Ws = 3.30274E+01
norm comp Wx = 3.06964E+01
norm comp Wz = 1.82648E+01
iter cpu time: 0:00:01.77
Iteration 6
beta vs. misfit:
beta misfit
4.39734E+01 8.68659E+02
8.79468E+01 1.63366E+03
1.03290E+02 1.90175E+03
chosen beta = 1.02701E+02
target misfit = 1.89148E+03
achieved misfit = 1.89146E+03
model norm = 9.38829E+01
misfit change = 5.00006E-01
model norm change = 1.45071E-01
norm comp Ws = 3.64720E+01
norm comp Wx = 3.54646E+01
norm comp Wz = 2.19464E+01
iter cpu time: 0:00:01.96
Iteration 7
beta vs. misfit:
beta misfit
9.50870E+01 1.65955E+03
9.88206E+01 1.72560E+03
1.04154E+02 1.81997E+03
2.60385E+02 4.50983E+03
chosen beta = 1.04156E+02
target misfit = 1.82000E+03
achieved misfit = 1.82000E+03
model norm = 9.41343E+01
misfit change = 3.77808E-02
model norm change = 2.67721E-03
norm comp Ws = 3.58106E+01
norm comp Wx = 3.57249E+01
norm comp Wz = 2.25988E+01
iter cpu time: 0:00:02.14
Target misfit achieved. Minimizing model norm.
Iteration 8
beta vs. misfit:
beta misfit
1.04156E+02 1.70980E+03
1.04156E+02 1.70981E+03
1.10515E+02 1.81990E+03
1.10521E+02 1.82000E+03
2.76302E+02 4.63990E+03
chosen beta = 1.10521E+02
target misfit = 1.82000E+03
achieved misfit = 1.82000E+03
model norm = 9.39651E+01
misfit change = 3.30759E-07
model norm change = -1.79735E-03
norm comp Ws = 3.63303E+01
norm comp Wx = 3.53890E+01
norm comp Wz = 2.22458E+01
iter cpu time: 0:00:02.03
Exit at convergence.
Iterations performed: 8
total cpu time: 0:00:16.31
DCINV2D ended on:12/08/2015 17:11:28