cleaned up surveyUtils
This commit is contained in:
Marcel Paffrath
parent
3e7e693a66
commit
4399004277
@ -1,48 +1,5 @@
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import numpy as np
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def generateSurvey(obsdir, shotlist):
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from obspy.core import read
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from pylot.core.active import seismicshot
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shot_dict = {}
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for shotnumber in shotlist: # loop over data files
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# generate filenames and read manual picks to a list
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obsfile = obsdir + str(shotnumber) + '_pickle.dat'
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#obsfile = obsdir + str(shotnumber) + '.dat'
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if not obsfile in shot_dict.keys():
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shot_dict[shotnumber] = []
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shot_dict[shotnumber] = seismicshot.SeismicShot(obsfile)
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shot_dict[shotnumber].setParameters('shotnumber', shotnumber)
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return shot_dict
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def setParametersForShots(cutwindow, tmovwind, tsignal, tgap, receiverfile, sourcefile, shot_dict):
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for shot in shot_dict.values():
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shot.setCut(cutwindow)
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shot.setTmovwind(tmovwind)
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shot.setTsignal(tsignal)
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shot.setTgap(tgap)
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shot.setRecfile(receiverfile)
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shot.setSourcefile(sourcefile)
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shot.setOrder(order = 4)
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def removeEmptyTraces(shot_dict):
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filename = 'removeEmptyTraces.out'
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filename2 = 'updateTraces.out'
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outfile = open(filename, 'w')
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outfile2 = open(filename2, 'w')
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for shot in shot_dict.values():
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del_traceIDs = shot.updateTraceList()
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removed = shot.removeEmptyTraces()
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if removed is not None:
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outfile.writelines('shot: %s, removed empty traces: %s\n' %(shot.getShotnumber(), removed))
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outfile2.writelines('shot: %s, removed traceID(s) %s because they were not found in the corresponding stream\n' %(shot.getShotnumber(), del_traceIDs))
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print '\nremoveEmptyTraces, updateTraces: Finished! See %s and %s for more information of removed traces.\n' %(filename, filename2)
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outfile.close()
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outfile2.close()
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def readParameters(parfile, parameter):
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from ConfigParser import ConfigParser
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parameterConfig = ConfigParser()
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@ -53,11 +10,6 @@ def readParameters(parfile, parameter):
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return value
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def setArtificialPick(shot_dict, traceID, pick):
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for shot in shot_dict.values():
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shot.setPick(traceID, pick)
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shot.setPickwindow(traceID, shot.getCut())
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def fitSNR4dist(shot_dict, shiftdist = 5):
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dists = []
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picks = []
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@ -79,7 +31,6 @@ def fitSNR4dist(shot_dict, shiftdist = 5):
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plotFittedSNR(dists, snrthresholds, snrs)
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return fit_fn #### ZU VERBESSERN, sollte fertige funktion wiedergeben
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def plotFittedSNR(dists, snrthresholds, snrs):
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import matplotlib.pyplot as plt
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plt.interactive(True)
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@ -98,78 +49,8 @@ def setFittedSNR(shot_dict, shiftdist = 5, p1 = 0.004, p2 = -0.004):
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shot.setSNRthreshold(traceID, 1/(fit_fn(shot.getDistance(traceID) + shiftdist)**2)) ### s.o.
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print "\nsetFittedSNR: Finished setting of fitted SNR-threshold"
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#def linearInterp(dist_med, dist_start
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def exportFMTOMO(shot_dict, directory = 'FMTOMO_export', sourcefile = 'input_sf.in', ttFileExtension = '.tt'):
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count = 0
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fmtomo_factor = 1000 # transforming [m/s] -> [km/s]
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LatAll = []; LonAll = []; DepthAll = []
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srcfile = open(directory + '/' + sourcefile, 'w')
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srcfile.writelines('%10s\n' %len(shot_dict)) # number of sources
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for shotnumber in getShotlist(shot_dict):
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shot = getShotForShotnumber(shot_dict, shotnumber)
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ttfilename = str(shotnumber) + ttFileExtension
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(x, y, z) = shot.getSrcLoc() # getSrcLoc returns (x, y, z)
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srcfile.writelines('%10s %10s %10s\n' %(getAngle(y), getAngle(x), (-1)*z)) # lat, lon, depth
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LatAll.append(getAngle(y)); LonAll.append(getAngle(x)); DepthAll.append((-1)*z)
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srcfile.writelines('%10s\n' %1) #
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srcfile.writelines('%10s %10s %10s\n' %(1, 1, ttfilename))
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ttfile = open(directory + '/' + ttfilename, 'w')
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traceIDlist = shot.getTraceIDlist()
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traceIDlist.sort()
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ttfile.writelines(str(countPickedTraces(shot)) + '\n')
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for traceID in traceIDlist:
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if shot.getPick(traceID) is not None:
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pick = shot.getPick(traceID) * fmtomo_factor
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delta = shot.getPickError(traceID) * fmtomo_factor
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(x, y, z) = shot.getRecLoc(traceID)
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ttfile.writelines('%20s %20s %20s %10s %10s\n' %(getAngle(y), getAngle(x), (-1)*z, pick, delta))
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LatAll.append(getAngle(y)); LonAll.append(getAngle(x)); DepthAll.append((-1)*z)
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count += 1
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ttfile.close()
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srcfile.close()
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print 'Wrote output for %s traces' %count
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print 'WARNING: output generated for FMTOMO-obsdata. Obsdata seems to take Lat, Lon, Depth and creates output for FMTOMO as Depth, Lat, Lon'
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print 'Dimensions of the seismic Array, transformed for FMTOMO, are Depth(%s, %s), Lat(%s, %s), Lon(%s, %s)'%(
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min(DepthAll), max(DepthAll), min(LatAll), max(LatAll), min(LonAll), max(LonAll))
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def getShotlist(shot_dict):
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shotlist = []
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for shot in shot_dict.values():
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shotlist.append(shot.getShotnumber())
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shotlist.sort()
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return shotlist
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def getShotForShotnumber(shot_dict, shotnumber):
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for shot in shot_dict.values():
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if shot.getShotnumber() == shotnumber:
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return shot
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def getAngle(distance):
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'''
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Function returns the angle on a Sphere of the radius R = 6371 [km] for a distance [km].
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'''
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PI = np.pi
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R = 6371.
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angle = distance * 180 / (PI * R)
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return angle
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def countPickedTraces(shot):
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numtraces = 0
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for traceID in shot.getTraceIDlist():
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if shot.getPick(traceID) is not None:
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numtraces += 1
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print "countPickedTraces: Found %s picked traces in shot number %s" %(numtraces, shot.getShotnumber())
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return numtraces
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def countAllPickedTraces(shot_dict):
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traces = 0
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for shot in shot_dict.values():
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traces += countPickedTraces(shot)
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return traces
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def findTracesInRanges(shot_dict, distancebin, pickbin):
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'''
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'''
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Returns traces corresponding to a certain area in a plot with all picks over the distances.
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:param: shot_dict, dictionary containing all shots that are used
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@ -180,7 +61,6 @@ def findTracesInRanges(shot_dict, distancebin, pickbin):
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:param: pickbin
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:type: tuple, (t1[s], t2[s])
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'''
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shots_found = {}
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for shot in shot_dict.values():
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