from rsf.proj import *
def grey(custom):
return '''
grey labelsz=10 labelfat=2 titlesz=12 titlefat=2 label1=Depth label2=Distance unit1=m unit2=m wanttitle=n %s
''' %(custom)
def igrey(custom):
return '''
grey labelsz=10 labelfat=2 titlesz=12 titlefat=2 label1=Time label2=Distance unit1=s unit2=m wanttitle=n %s
''' %(custom)
Flow('top',None,'spike n1=60 n2=200 d1=15 d2=15 mag=1500')
Flow('mid',None,'spike n1=70 n2=200 d1=15 d2=15 mag=2200')
Flow('bot',None,'spike n1=70 n2=200 d1=15 d2=15 mag=3000')
Flow('vel','top mid bot','cat axis=1 ${SOURCES[1:3]} | smooth rect1=3 repeat=1 | put unit1=m unit2=m label1=Depth label2=Distance')
Flow('src',None,'spike n1=200 n2=200 d1=15 d2=15 nsp=6 k1=98,105,100,95,90,88 k2=60,70,90,110,130,140 mag=5000 | smooth rect1=2 rect2=2 repeat=1')
Flow('sov','vel src','add mode=a ${SOURCES[1]}')
Result('sov1','sov','window f1=30 n1=140 f2=30 n2=140 | put o1=0 o2=0 |'+ grey('allpos=y bias=1500 scalebar=y barreverse=y minval=1500 maxval=3000 title="Source location over velocity model" barlabel="V" barunit="m/s" '))
Result('vel','window f1=30 n1=140 f2=30 n2=140 | put o1=0 o2=0 |'+ grey('allpos=y bias=1500 scalebar=y barreverse=y minval=1500 maxval=3000 title="Velocity model" barlabel="V" barunit="m/s"'))
nt=2501
dt=0.001
Flow('data0 snaps data_v0','vel',
'''
psp snaps=${TARGETS[1]} dat_v=${TARGETS[2]} verb=y cmplx=n vref=1500 ps=y nt=%d dt=%g snap=1 abc=y nbt=30 ct=0.01 src=0 n_srcs=6 spz=100,105,100,95,90,88 spx=60,70,90,110,130,140 f0=20,20,20,20,20,20 t0=.1,.3,.5,.7,.9,1.1 A=1,1,1,1,1,1
'''%(nt,dt))
Flow('data','data0','cp')
Flow('data_v','data_v0','cp')
Plot('snaps','window j3=10 | grey gainpanel=a color=g title="Microseismic events" ', view=1)
Flow('snapsm','snaps','window j3=4')
Flow('snapsov','vel snapsm','window f1=30 n1=140 f2=30 n2=140 | put o1=0 o2=0 |spray axis=3 n=626 | add ${SOURCES[1]} scale=1,9000')
Plot('snapsov','window j3=10 | grey gainpanel=a color=g title="Microseismic events" ', view=1)
Result('data',igrey('title="Surface array data"'))
Result('data_v',igrey('title="Downhole array data"'))
Plot('datall','data',igrey('title="Surface array data" screenht=11'))
Plot('trace','data','window n2=1 f2=70 | scale axis=1 | graph transp=y yreverse=y dash=0 plotcol=6 plotfat=3 label1=Time unit1=s label2="Amplitude" unit2= wanttitle=n labelfat=2 labelsz=6 screenwd=3 screenht=11 wherexlabel=top whereylabel=right')
Result('datatrace','datall trace','SideBySideIso')
Flow('imgb snapsb','vel data data_v',
'''
psp snaps=${TARGETS[1]} verb=y cmplx=n vref=1500 ps=y snap=1 abc=y nbt=30 ct=0.01 mig=y dat=${SOURCES[1]} dat_v=${SOURCES[2]}
''')
Plot('snapsb','window j3=10 | grey gainpanel=a', view=1)
Result('imgb','grey wanttitle=n')
nrcv = 10
rcvint = 140/nrcv
len=0
start=5
snaps = []
for m in range(nrcv):
mask = 'mask%d' % m
data = 'data' + mask
img = 'img%d' % m
snap = 'snaps%d' % m
snaps += [snap]
Flow(mask,None,'spike n1=140 mag=1 k1=%d l1=%d | sfdd type=int' %(rcvint*m+start,rcvint*m+start+len) )
Flow(data,['data',mask],'headercut mask=${SOURCES[1]}')
Result(data,'wiggle transp=y wanttitle=n')
Flow([img,snap],['vel',data],
'''
psp snaps=${TARGETS[1]} verb=y cmplx=n vref=1500 ps=y snap=1 abc=y nbt=30 ct=0.01 mig=y dat=${SOURCES[1]}
''')
Plot(snap,'window j3=10 | grey gainpanel=a wanttitle=n',view=1)
Result(img,'grey wanttitle=n')
Flow('ccr0',snaps,'add mode=m ${SOURCES[1:%d]}'% nrcv)
Plot('ccr0','window j3=10 | grey gainpanel=a pclip=99.9 wanttitle=n', view=1)
Flow('stack',snaps,'add mode=a ${SOURCES[1:%d]}'%(nrcv))
Flow('autoccr','stack','math output="input*input" ')
Flow('autoccr-stack','autoccr','stack axis=3')
Plot('stack','window j3=10 | grey gainpanel=a', view=1)
Result('autoccr-stack','grey pclip=99.6 allpos=y scalebar=n title="Auto-correlation" color=I')
Flow('wfnew','ccr0','math output="abs(input)" | swnorm size=100 log=n perc=10 | smooth rect3=20 repeat=2 | ricker1 frequency=20')
Result('wfnew','stack axis=3 | put o1=0 o2=0 |'+ grey('pclip=99.6 allpos=n scalebar=n title="Imaged source locations" color=g'))
Flow('data-new snaps-new','vel wfnew',
'''
sfpspp snaps=${TARGETS[1]} wave=${SOURCES[1]} verb=y cmplx=n vref=1500 ps=y nt=%d dt=%g snap=1 abc=y nbt=30 ct=0.01 src=0 n_srcs=1 spz=98,105,100,95,90,88 spx=60,70,90,110,130,140 f0=20,20,20,20,20,20 t0=.4,.7,1.0,.3,.9,0.8 A=1,1,1,1,1,1
'''%(nt,dt))
Result('data-new',igrey('title="Surface array data"'))
Flow('movieauto','autoccr','transp plane=13 memsize=10000 | causint | window j1=40 | transp plane=13 memsize=10000 ')
Plot('movieauto','grey gainpanel=a pclip=99 color=g title="Cross-correlation" ', view=1)
Flow('location0','ccr0',' threshold pclip=5 | stack axis=3 | math output=input')
Result('location0','put o1=0 o2=0 |'+ grey('pclip=99.6 allpos=n scalebar=n title="Imaged source locations" color=g'))
Flow('movie','ccr0','transp plane=13 memsize=10000 | causint | window j1=40 | transp plane=13 memsize=10000 ')
Plot('movie','grey gainpanel=a pclip=99.5 color=g title="Cross-correlation" ', view=1)
Flow('rev0',snaps,'add mode=a ${SOURCES[1:%d]}'% nrcv)
Flow('location1','rev0','stack axis=3')
Result('location1','put o1=0 o2=0 |'+ grey('pclip=99.6 allpos=n scalebar=n title="Imaged source locations" color=g'))
Plot('movie1','rev0','window j3=40 | reverse which=4 | grey gainpanel=a pclip=99.5 color=g title="Time-reversal"', view=1)
Flow('data-noise','data0','noise var=0.02 type=y seed=1573')
Plot('datall-noise','data-noise',igrey('title="Surface array data" screenht=11'))
Plot('trace-noise','data-noise','window n2=1 f2=70 | scale axis=1 | graph transp=y yreverse=y dash=0 plotcol=6 plotfat=3 label1=Time unit1=s label2="Amplitude" unit2= wanttitle=n labelfat=2 labelsz=6 screenwd=3 screenht=11 wherexlabel=top whereylabel=right')
snaps = []
for m in range(nrcv):
mask = 'mask%d' % m
data = 'ndata' + mask
img = 'nimg%d' % m
snap = 'nsnaps%d' % m
snaps += [snap]
Flow(data,['data-noise',mask],'headercut mask=${SOURCES[1]}')
Result(data,'wiggle transp=y wanttitle=n')
Flow([img,snap],['vel',data],
'''
psp snaps=${TARGETS[1]} verb=y cmplx=n vref=1500 ps=y snap=1 abc=y nbt=30 ct=0.01 mig=y dat=${SOURCES[1]}
''')
Plot(snap,'window j3=10 | grey gainpanel=a wanttitle=n', view=1)
Result(img,'grey wanttitle=n')
Flow('ccr0-noise',snaps,'add mode=m ${SOURCES[1:%d]}'% nrcv)
Plot('ccr0-noise','window j3=10 | grey gainpanel=a pclip=99.9 wanttitle=n', view=1)
Flow('location0-noise','ccr0-noise',' threshold pclip=5 | stack axis=3 | math output=input')
Result('datatrace-clean','datall trace','SideBySideIso')
Result('location0-clean','location0','put o1=0 o2=0 |'+ grey('pclip=99.6 allpos=n scalebar=n title="Imaged source locations" color=g'))
Result('datatrace-noisy','datall-noise trace-noise','SideBySideIso')
Result('location0-noisy','location0-noise','put o1=0 o2=0 |'+ grey('pclip=99.6 allpos=n scalebar=n title="Imaged source locations" color=g'))
len=5
snaps = []
for m in range(nrcv):
mask = 'hmask%d' % m
data = 'hdata' + mask
img = 'himg%d' % m
snap = 'hsnaps%d' % m
snaps += [snap]
Flow(mask,None,'spike n1=140 mag=1 k1=%d l1=%d | sfdd type=int' %(rcvint*m+start,rcvint*m+start+len) )
Flow(data,['data-noise',mask],'headercut mask=${SOURCES[1]}')
Result(data,'wiggle transp=y wanttitle=n')
Flow([img,snap],['vel',data],
'''
psp snaps=${TARGETS[1]} verb=y cmplx=n vref=1500 ps=y snap=1 abc=y nbt=30 ct=0.01 mig=y dat=${SOURCES[1]}
''')
Plot(snap,'window j3=10 | grey gainpanel=a wanttitle=n', view=1)
Result(img,'grey wanttitle=n')
Flow('ccr0-hyb',snaps,'add mode=m ${SOURCES[1:%d]}'% nrcv)
Plot('ccr0-hyb','window j3=10 | grey gainpanel=a pclip=99.9 wanttitle=n', view=1)
Flow('location0-hyb','ccr0-hyb',' threshold pclip=5 | stack axis=3 | math output=input')
Result('location0-hyb','put o1=0 o2=0 |'+ grey('pclip=99.6 allpos=n scalebar=n title="Imaged source locations" color=g'))
End()
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