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solver.py
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solver.py
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###############################################################################
#
# SWIT: Seismic Waveform Inversion Toolbox
#
# by Haipeng Li at USTC, [email protected]
#
# June, 2021
#
# Forward and adjoint Solver module
#
###############################################################################
import os
import subprocess
import numpy as np
from scipy import integrate
from misfit import adjoint_source
from postprocess import grad_precond
from tools import cleandata, loadbinfloat32, savebinfloat32
def forward(simu, simu_type='obs', savesnap=0):
''' forward solver: fd2dmpi (2D acoustic)
'''
if simu_type not in ['obs', 'syn']:
raise ValueError('Forward: unsupport simulation tyep.')
# get prepared
mpiproc = simu.system.mpiproc
homepath = simu.system.homepath
srcn = simu.source.n
parfile = homepath + 'parfile/forward_parfile/parfile'
# change path and clean previous data (always, even empty)
if simu_type in ['syn']:
cleandata(homepath + 'data/syn/')
# create working directory
for isrc in range(srcn):
ifolder = homepath + 'data/%s/src%d_snapshot'%(simu_type, isrc+1)
if not os.path.exists(ifolder) and savesnap == 1:
os.system('mkdir %s' % ifolder)
# prepare the forward source
src = integrate.cumtrapz(simu.source.wavelet, axis=-1, initial=0)
# write parameters and model files
write_parfile(simu, simu_type, src, savesnap=savesnap)
# submit job
os.chdir(homepath)
solver_cmd = 'mpirun -np %d --allow-run-as-root fd2dmpi par=%s' % (mpiproc, parfile)
status = subprocess.getstatusoutput(solver_cmd)
if status[0]:
print(status[1])
raise ValueError('Forward solver crash')
def adjoint(simu, optim):
''' adjoint solver: fd2dmpi (2D acoustic)
'''
# get prepared
mpiproc = simu.system.mpiproc
homepath = simu.system.homepath
parfile = homepath + 'parfile/adjoint_parfile/parfile'
misfit_type = optim.misfit_type
# prapare the adjoint source
src = adjoint_source(simu, misfit_type)
# write parameters and model files
write_parfile(simu, 'adj', src, savesnap=0)
# summit job
os.chdir(homepath)
solver_cmd = 'mpirun -np %d --allow-run-as-root fd2dmpi par=%s' % (mpiproc, parfile)
status = subprocess.getstatusoutput(solver_cmd)
if status[0]:
raise ValueError('Adjoint solver crash')
# load and merge gradients and illuminations
grad = loadbinfloat32(homepath+'data/syn/src0_kernel_vp.bin')
forw = loadbinfloat32(homepath+'data/syn/src0_illum_forw.bin')
back = loadbinfloat32(homepath+'data/syn/src0_illum_back.bin')
# gradient precondtioning
return grad_precond(simu, optim, grad, forw, back)
def write_parfile(simu, simu_type, src, savesnap = 0):
''' write parameter file for the fd2dmpi solver
'''
# get prepared
savestep = simu.model.savestep
# parameter file path
path = simu.system.homepath
if simu_type in ['obs', 'syn']:
parpath = path + 'parfile/forward_parfile/parfile'
srcpath = path + 'parfile/forward_source/'
elif simu_type in ['adj']:
parpath = path + 'parfile/adjoint_parfile/parfile'
srcpath = path + 'parfile/adjoint_source/'
# save source time function
for isrc in range(simu.source.n):
savebinfloat32(srcpath + 'src%d.bin' % (isrc+1), src[isrc, :])
# save P-wave velocity and density files
vp = simu.model.vp
rho = simu.model.rho
savebinfloat32(path + 'parfile/model/vel.bin', vp)
savebinfloat32(path + 'parfile/model/rho.bin', rho)
# Write Parameter file for acoustic solver
fp = open(parpath, "w")
fp.write('######################################### \n')
fp.write('# \n')
fp.write('# fd2dmpi input parameter file \n')
fp.write('# \n')
fp.write('######################################### \n')
fp.write(' \n')
if simu_type in ['obs', 'syn']:
fp.write('jobtype=forward_modeling\n')
elif simu_type in ['adj']:
fp.write('jobtype=adjoint_modeling\n')
fp.write('COORD_FILE=%s\n' % (path + 'parfile/model/coord.txt'))
if simu_type in ['obs']:
fp.write('DATA_OUT=%s\n' % (path + 'data/obs/src'))
elif simu_type in ['syn', 'adj']:
fp.write('DATA_OUT=%s\n' % (path + 'data/syn/src'))
fp.write('VEL_IN=%s\n' % (path + 'parfile/model/vel.bin'))
fp.write('DENSITYFILE=%s\n' % (path + 'parfile/model/rho.bin'))
fp.write('FILEFORMAT=su\n' )
fp.write('NX=%d\n' % simu.model.nx)
fp.write('NZ=%d\n' % simu.model.nz)
fp.write('DX=%f\n' % simu.model.dx)
fp.write('NPML=%d\n' % simu.model.pml)
fp.write('NT_WORK=%d\n' % simu.model.nt)
fp.write('DT_WORK=%f\n' % simu.model.dt)
if simu.model.fs: # Free surface
fp.write('FREESURFACE=1\n')
else:
fp.write('FREESURFACE=0\n')
fp.write('STORE_SNAP=%d\n' % savesnap)
fp.write('STORE_STEP=%d\n' % savestep)
fp.close()
####################################################################
#
# Write geometry file for acoustic solver. The format is as follows:
#
# column 1 2 3 4 5 6 7
# meaning ( S_index R_index Sx Sz Rx Rz S_is_alive(0/1) )
#
####################################################################
srcn = simu.source.n
recn = simu.receiver.n
srcxz = simu.source.xz
recxz = simu.receiver.xz
fp = open(path + 'parfile/model/coord.txt', "w")
geom = np.zeros((recn*srcn, 7))
for isrc in range(srcn):
for irec in range(recn):
ig = irec + recn*(isrc-1)
geom[ig, :] = np.array([isrc+1, irec+1, srcxz[isrc, 0], srcxz[isrc, 1],
recxz[isrc, irec, 0], recxz[isrc, irec, 1], 1])
fp.write('%6i %6i %10.1f %10.1f %10.1f %10.1f %10.1f\n' % (
geom[ig, 0], geom[ig, 1], geom[ig, 2], geom[ig, 3], geom[ig, 4], geom[ig, 5], geom[ig, 6]))
fp.close()
def source_wavelet(nt, dt, f0, srctype):
''' source time function
'''
# time and wavelet arrays
t = np.linspace(0, dt*nt, num=nt, endpoint=False)
wavelet = np.zeros_like(t)
if srctype.lower() in ['ricker']:
t0 = 1.2/f0
temp = (np.pi*f0) ** 2
wavelet = (1 - 2 * temp * (t - t0) ** 2) * np.exp(- temp * (t - t0) ** 2)
else:
raise ValueError('Other wavelets can be implemented here.')
return wavelet