## Oz data gather 2 (Vibroseis, nt=1075, dt=0.004, nx=120, dx=100m BW:10-30 Hz) # Bandwidth is about 10-45 Hz from rsf.proj import * import math, os from rsf.recipes.itime import itime1,itimec from rsf.recipes.fmean import Freqmean,Freqplots sz1=' labelsz=12 titlesz=12 ' sz2=' labelsz=10 titlesz=10 ' #### Data (Oz shot gather #2) # Bandwidth is about 10-45 Hz o1=0; n1=1075; d1=0.004; nx=120; f2 = 10; # which trace to plot ticks=''; grid=''; data = 'data2'; Flow('time11', data, 'window n2=1 | math output="x1"') Plot('time12', 'time11','graph wanttitle=n') Fetch('wz.02.H','wz') Flow(data,'wz.02.H', 'dd form=native | window n1=%d f2=0 n2=%d | scale axis=1 | put unit2=""' %(n1,nx)) taxis='''min1=0. max1=%f min2=-1. max2=1. grid2=y g2num0=0 g2num=10''' %(o1+(n1-1)*d1) #Result(data,data,'grey wheretitle=top wherexlabel=bottom title="Data"') #Result('trace2','data2', # 'window f2=%d n2=1 | graph %s title="Trace %d"' %(f2,taxis,f2)) #Plot ('trace2','data2', # 'window f2=%d n2=1 | graph %s title="Trace %d"' %(f2,taxis,f2)) #Result('spec2','data2','spectra all=y | graph') #### LTFT # inst. time (t,f) rc1 = 5; # smoothing radius for LTF (across t) rc2 = 5; # smoothing radius for division (across f) rc3 = 3; # smoothing radius for division (across traces) w0=0; dw=0.2; nw=301; fmax = w0 + (nw-1)*dw; # maximum frequency for LTF fmax2 = fmax; # maximum frequency for averaging cltf = 'rect=%d w0=%f dw=%f nw=%d' %(rc1,w0,dw,nw) itimec('itime2',data,cltf=cltf, div='rect1=%d rect2=%d rect3=%d niter=100'%(rc1,rc2,rc3)) #Flow('ltf2_trace%d' %f2, 'data2_cltf','window f3=%d n3=1' %f2) #Flow('itime2_trace%d' %f2, 'itime2', 'window f3=%d n3=1' %f2) Flow('zc2', 'itime2', 'math output="input-x1" | zerocross levels=3') tfaxes='min1=0. max1=%f. min2=0. max2=%f' %(o1+(n1-1)*d1,fmax2) tfpar ='grey color=j scalebar=y' #Plot('ltf2','ltf2_trace%d' %f2, # '''math output="abs(input)" | real | # %s allpos=y title="u(t,f) (trace %d)" scalebar=n # wherexlabel=bottom wheretitle=top %s labelsz=10 titlesz=10 # ''' %(tfpar,f2,tfaxes)) #Plot('ltf2','ltf2_trace%d' %f2, # '''math output="abs(input)" | real | # %s allpos=y title="u(t,f)" scalebar=y wherexlabel=bottom # wheretitle=top %s %s %s %s''' %(tfpar,tfaxes,ticks,grid,sz2)) #Plot('itime2','itime2_trace%d' %f2, # '''%s allpos=y title="tau(t,f)" scalebar=y # wherexlabel=bottom wheretitle=top %s %s %s %s''' %(tfpar,tfaxes,ticks,grid,sz2)) #Plot('zc2', 'zc2', # '''window f3=%d n3=1| math output="input-x1" | zerocross levels=3 | # contour plotfat=10 allpos=n nc=1 c0=-1 scalebar=y wanttitle=n wantaxis=n %s %s %s # ''' %(f2,tfaxes,ticks,grid)) # mean and std of frequency Freqmean('data2_cltf',r=5,std='y') # generates data2_cltf_s0, data2_cltf_s1,data2_cltf_s2, # data2_cltf_fmn, data2_cltf_fstd Flow('data2_flo','data2_cltf_fmn data2_cltf_fstd','add ${SOURCES[1]} scale=1,-1') Flow('data2_fhi','data2_cltf_fmn data2_cltf_fstd','add ${SOURCES[1]} ') #Flow('data2_fhi','data2_cltf_fmn', 'math output="input"') #Flow('data2_flo_trace%d'%f2, 'data2_flo', 'window f2=%d n2=1' %f2) #Flow('data2_fhi_trace%d'%f2, 'data2_fhi', 'window f2=%d n2=1' %f2) #Freqplots('data2_flo', 'data2_flo_trace%d'%f2, axes=tfaxes, scalebar='y') #Freqplots('data2_fhi', 'data2_fhi_trace%d'%f2, axes=tfaxes, scalebar='y') #Plot('data2_freq', 'data2_flo data2_fhi', 'Overlay') # plotfat=10,plotcol=1, dash=1, transp='y', yreverse='y') # Figures #Result('itime2', 'itime2 zc2 data2_freq', 'Overlay') #Result('ltf2','ltf2 data2_freq','Overlay') #### inst. traveltime (t) Flow('tau2', 'itime2 data2_flo data2_fhi', 'stackn min=${SOURCES[1]} max=${SOURCES[2]} | window') #axes = 'min1=0. max1=%g. min2=-0.2. max2=5'%(o1+(n1-1)*d1) #ticks = 'o1num=0. d1num=1 n1tic=6 o2num=-1 d2num=0.5 n2tic=5' #grid1 = 'gridcol=5 grid1=y g1num0=0.4 g1num=0.8' #grid2 = 'gridcol=5 grid2=y g2num0=0.4 g2num=0.8' #Plot('time12', 'time11', # '''graph wanttitle=n wantaxis=n # dash=1 %s %s crowd2=0.5''' %(sz1,axes)) #Plot('tau2','tau2', # '''window f2=%d n2=1 | graph wanttitle=n # %s %s %s crowd2=0.5 plotfat=10''' %(f2, sz1,axes,ticks)) #Plot('tau11', 'tau2 time12', 'Overlay') #Result('taut2', 'tau2 time12', 'Overlay') # plot of tau and t vs. t Flow('tau_t2', 'tau2', ' math output="input-x1"') axes = 'min1=0. max1=%g. min2=-0.5. max2=0.5'%(o1+(n1-1)*d1) ticks= 'o2num=-0.5 d2num=0.5 n2tic=3' grid1 = '' #'gridcol=5 grid1=y g1num0=0.4 g1num=0.8' grid2 = 'gridcol=5 grid2=y g2num0=0. g2num=1' #Plot('tau_t2','tau_t2', # '''window f2=%d n2=1 | graph %s crowd2=0.5 # wanttitle=n plotfat=10 %s %s %s''' %(f2,sz1,axes,grid1,grid2)) #Result('tau_t2','tau_t2 vtimesyn','Overlay') #Result('tau_t2','trace2 tau_t2','OverUnderAniso') #### Gather figures txaxis='min1=0. max1=%g.'%(o1+(n1-1)*d1) #Flow('zctau2', 'tau_t2', 'zerocross levels=3 | clip2 lower=0 | ricker1 frequency=30 | mutter v0=9400 x0=4700''') Flow('zctau2', 'tau_t2', 'zerocross levels=3 | clip2 upper=0 | add scale=-1 | mutter x0=90 v0=200')# | ricker1 frequency=60') #Plot('zctau2', 'wiggle transp=y yreverse=y plotcol=5 wanttitle=n wantaxis=n %s'%txaxis) Plot('data2', data, '''agc | put d2=1 label2="Trace" unit2="" | wiggle transp=y yreverse=y pclip=100. poly=y plotcol=7 plotfat=1 grid1=n grid2=n wanttitle=n wherexlabel=bottom wheretitle=top %s'''%txaxis) Plot('events2','zctau2', '''wiggle transp=y yreverse=y pclip=100. plotcol=5 plotfat=1 grid1=n gridcol=7 g1num0=0 g1num=1 grid2=n gridfat=2 wantaxis2=n title="Vibroseis data" %s''' %txaxis) Plot('zeros2','data2', '''math output="0" | wiggle transp=y yreverse=y pclip=100. poly=y plotcol=7 plotfat=1 grid1=n grid2=n wanttitle=n wherexlabel=bottom wantaxis2=n %s'''%txaxis) #Result('zctau2', 'wiggle transp=y yreverse=y pclip=100. title="Picked events"') Result('oz2','data2 events2 zeros2','Overlay') #from rsf.recipes.epsfigs import Epsfigs #Epsfigs() #Epsfigs('ltf2 itime2 oz2 ',color='y') End() |