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@ -44,14 +44,14 @@ class SeismicShot(object):
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removed = []
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for i in range(0, len(coordlist)):
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traceIDs.append(int(coordlist[i].split()[0]))
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for trace in self.traces:
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try:
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traceIDs.index(int(trace.stats.channel))
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except:
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self.traces.remove(trace)
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self.traces.remove(trace)
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removed.append(int(trace.stats.channel))
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if len(removed) > 0:
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return removed
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@ -59,7 +59,7 @@ class SeismicShot(object):
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for trace in self.traces:
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if traceID == trace.stats.channel:
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self.traces.remove(trace)
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# for traceID in TraceIDs:
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# traces = [trace for trace in self.traces if int(trace.stats.channel) == traceID]
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# if len(traces) is not 1:
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@ -147,10 +147,10 @@ class SeismicShot(object):
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def getPickError(self, traceID):
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pickerror = abs(self.getEarliest(traceID) - self.getLatest(traceID))
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if np.isnan(pickerror) == True:
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if np.isnan(pickerror) == True:
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print("SPE is NaN for shot %s, traceID %s"%(self.getShotnumber(), traceID))
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return pickerror
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return pickerror
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def getStreamTraceIDs(self):
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traceIDs = []
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for trace in self.traces:
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@ -172,15 +172,15 @@ class SeismicShot(object):
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def getPickwindow(self, traceID):
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try:
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self.pickwindow[traceID]
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self.pickwindow[traceID]
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except KeyError as e:
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print('no pickwindow for trace %s, set to %s' % (traceID, self.getCut()))
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self.setPickwindow(traceID, self.getCut())
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return self.pickwindow[traceID]
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def getSNR(self, traceID):
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return self.snr[traceID]
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def getSNRthreshold(self, traceID):
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return self.snrthreshold[traceID]
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@ -257,16 +257,20 @@ class SeismicShot(object):
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else:
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self.setPick(traceID, None)
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print('Warning: ambigious or empty traceID: %s' % traceID)
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#raise ValueError('ambigious or empty traceID: %s' % traceID)
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def pickTraces(self, traceID, windowsize, folm = 0.6, HosAic = 'hos'): ########## input variables ##########
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def pickTraces(self, traceID, pickmethod, windowsize, folm = 0.6, HosAic = 'hos'): ########## input variables ##########
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# LOCALMAX NOT IMPLEMENTED!
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'''
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Intitiate picking for a trace.
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:param: traceID
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:type: int
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:param: pickmethod, use either 'threshold' or 'localmax' method. (localmax not yet implemented 04_08_15)
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:type: string
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:param: cutwindow (equals HOScf 'cut' variable)
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:type: tuple
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@ -290,7 +294,13 @@ class SeismicShot(object):
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self.timeArray[traceID] = hoscf.getTimeArray()
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aiccftime, hoscftime = self.threshold(hoscf, aiccf, windowsize, self.getPickwindow(traceID), folm)
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if pickmethod == 'threshold':
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aiccftime, hoscftime = self.threshold(hoscf, aiccf, windowsize, self.getPickwindow(traceID), folm)
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#setpick = {'threshold':self.threshold,
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# 'localmax':self.localmax}
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#aiccftime, hoscftime = setpick[pickmethod](hoscf, aiccf, windowsize, pickwindow)
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setHosAic = {'hos': hoscftime,
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'aic': aiccftime}
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@ -303,15 +313,15 @@ class SeismicShot(object):
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tsignal = self.getTsignal()
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tnoise = self.getPick(traceID) - tgap
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(self.earliest[traceID], self.latest[traceID], tmp) = earllatepicker(self.getSingleStream(traceID),
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nfac, (tnoise, tgap, tsignal),
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(self.earliest[traceID], self.latest[traceID], tmp) = earllatepicker(self.getSingleStream(traceID),
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nfac, (tnoise, tgap, tsignal),
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self.getPick(traceID))
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def threshold(self, hoscf, aiccf, windowsize, pickwindow, folm = 0.6):
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'''
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Threshold picker, using the local maximum in a pickwindow to find the time at
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Threshold picker, using the local maximum in a pickwindow to find the time at
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which a fraction of the local maximum is reached for the first time.
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:param: hoscf, Higher Order Statistics Characteristic Function
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:type: 'Characteristic Function'
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@ -337,34 +347,34 @@ class SeismicShot(object):
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threshold = folm * max(hoscflist[leftb : rightb]) # combination of local maximum and threshold
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m = leftb
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while hoscflist[m] < threshold:
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m += 1
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hoscftime = list(hoscf.getTimeArray())[m]
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lb = max(0, m - windowsize[0]) # if window exceeds t = 0
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aiccfcut = list(aiccf.getCF())[lb : m + windowsize[1]]
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n = aiccfcut.index(min(aiccfcut))
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m = lb + n
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aiccftime = list(hoscf.getTimeArray())[m]
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return aiccftime, hoscftime
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def getDistance(self, traceID):
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'''
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Returns the distance of the receiver with the ID == traceID to the source location (shot location).
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Uses getSrcLoc and getRecLoc.
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:param: traceID
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:type: int
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'''
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shotX, shotY, shotZ = self.getSrcLoc()
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recX, recY, recZ = self.getRecLoc(traceID)
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dist = np.sqrt((shotX-recX)**2 + (shotY-recY)**2 + (shotZ-recZ)**2)
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if np.isnan(dist) == True:
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raise ValueError("Distance is NaN for traceID %s" %traceID)
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@ -375,7 +385,7 @@ class SeismicShot(object):
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'''
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Returns the location (x, y, z) of the receiver with the ID == traceID.
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RECEIVEIVER FILE MUST BE SET FIRST, TO BE IMPROVED.
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:param: traceID
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:type: int
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'''
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@ -389,7 +399,7 @@ class SeismicShot(object):
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y = coordlist[i].split()[2]
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z = coordlist[i].split()[3]
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return float(x), float(y), float(z)
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#print "WARNING: traceID %s not found" % traceID
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raise ValueError("traceID %s not found" % traceID)
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#return float(self.getSingleStream(traceID)[0].stats.seg2['RECEIVER_LOCATION'])
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@ -412,7 +422,7 @@ class SeismicShot(object):
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'''
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Returns the traceID(s) for a certain distance between source and receiver.
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Used for 2D Tomography. TO BE IMPROVED.
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:param: distance
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:type: real
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@ -437,7 +447,7 @@ class SeismicShot(object):
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def setManualPicks(self, traceID, picklist): ########## picklist momentan nicht allgemein, nur testweise benutzt ##########
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'''
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Sets the manual picks for a receiver with the ID == traceID for comparison.
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:param: traceID
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:type: int
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@ -452,15 +462,15 @@ class SeismicShot(object):
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if not self.manualpicks.has_key(traceID):
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self.manualpicks[traceID] = (mostlikely, earliest, latest)
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#else:
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# raise KeyError('MANUAL pick to be set more than once for traceID %s' % traceID)
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# raise KeyError('MANUAL pick to be set more than once for traceID %s' % traceID)
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def setPick(self, traceID, pick): ########## siehe Kommentar ##########
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self.pick[traceID] = pick
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# ++++++++++++++ Block raus genommen, da Error beim 2ten Mal picken! (Ueberschreiben von erstem Pick!)
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# if not self.pick.has_key(traceID):
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# self.getPick(traceID) = picks
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# else:
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# raise KeyError('pick to be set more than once for traceID %s' % traceID)
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# raise KeyError('pick to be set more than once for traceID %s' % traceID)
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# def readParameter(self, parfile):
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# parlist = open(parfile,'r').readlines()
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@ -474,12 +484,13 @@ class SeismicShot(object):
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def setSNR(self, traceID): ########## FORCED HOS PICK ##########
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'''
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Gets the SNR using pylot and then sets the SNR for the traceID.
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:param: traceID
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:type: int
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:param: (tnoise, tgap, tsignal), as used in pylot SNR
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'''
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from pylot.core.pick.utils import getSNR
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tgap = self.getTgap()
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@ -509,7 +520,7 @@ class SeismicShot(object):
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# def plot2dttc(self, dist_med = 0): ########## 2D ##########
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# '''
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# Function to plot the traveltime curve for automated picks (AIC & HOS) of a shot. 2d only!
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# :param: dist_med (optional)
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# :type: 'dictionary'
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# '''
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@ -517,7 +528,7 @@ class SeismicShot(object):
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# plt.interactive('True')
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# aictimearray = []
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# hostimearray = []
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# if dist_med is not 0:
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# if dist_med is not 0:
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# dist_medarray = []
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# i = 1
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@ -573,14 +584,14 @@ class SeismicShot(object):
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import matplotlib.pyplot as plt
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from pylot.core.util.utils import getGlobalTimes
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from pylot.core.util.utils import prepTimeAxis
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stream = self.getSingleStream(traceID)
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stime = getGlobalTimes(stream)[0]
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timeaxis = prepTimeAxis(stime, stream[0])
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timeaxis = prepTimeAxis(stime, stream[0])
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timeaxis -= stime
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plt.interactive('True')
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hoscf = self.getHOScf(traceID)
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aiccf = self.getAICcf(traceID)
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@ -588,16 +599,16 @@ class SeismicShot(object):
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ax1 = plt.subplot(2,1,1)
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plt.title('Shot: %s, traceID: %s, pick: %s' %(self.getShotnumber(), traceID, self.getPick(traceID)))
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ax1.plot(timeaxis, stream[0].data, 'k', label = 'trace')
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ax1.plot([self.getPick(traceID), self.getPick(traceID)],
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[min(stream[0].data),
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ax1.plot([self.getPick(traceID), self.getPick(traceID)],
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[min(stream[0].data),
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max(stream[0].data)],
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'r', label = 'mostlikely')
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plt.legend()
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ax2 = plt.subplot(2,1,2, sharex = ax1)
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ax2.plot(hoscf.getTimeArray(), hoscf.getCF(), 'b', label = 'HOS')
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ax2.plot(hoscf.getTimeArray(), aiccf.getCF(), 'g', label = 'AIC')
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ax2.plot([self.getPick(traceID), self.getPick(traceID)],
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[min(np.minimum(hoscf.getCF(), aiccf.getCF())),
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ax2.plot([self.getPick(traceID), self.getPick(traceID)],
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[min(np.minimum(hoscf.getCF(), aiccf.getCF())),
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max(np.maximum(hoscf.getCF(), aiccf.getCF()))],
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'r', label = 'mostlikely')
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ax2.plot([0, self.getPick(traceID)],
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@ -605,7 +616,7 @@ class SeismicShot(object):
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'm:', label = 'folm = %s' %folm)
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plt.xlabel('Time [s]')
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plt.legend()
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def plot3dttc(self, step = 0.5, contour = False, plotpicks = False, method = 'linear', ax = None):
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'''
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Plots a 3D 'traveltime cone' as surface plot by interpolating on a regular grid over the traveltimes, not yet regarding the vertical offset of the receivers.
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@ -644,7 +655,7 @@ class SeismicShot(object):
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if ax == None:
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fig = plt.figure()
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ax = plt.axes(projection = '3d')
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xsrc, ysrc, zsrc = self.getSrcLoc()
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if contour == True:
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@ -656,12 +667,12 @@ class SeismicShot(object):
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if plotpicks == True:
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ax.plot(x, y, z, 'k.')
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def plotttc(self, method, *args):
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plotmethod = {'2d': self.plot2dttc, '3d': self.plot3dttc}
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plotmethod[method](*args)
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def matshow(self, step = 0.5, method = 'linear', ax = None, plotRec = False, annotations = False):
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'''
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Plots a 2D matrix of the interpolated traveltimes. This needs less performance than plot3dttc
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@ -701,7 +712,7 @@ class SeismicShot(object):
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ax = plt.axes()
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ax.imshow(zgrid, interpolation = 'none', extent = [min(x), max(x), min(y), max(y)])
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if annotations == True:
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for i, traceID in enumerate(self.pick.keys()):
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if shot.picks[traceID] != None:
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@ -1,19 +1,69 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import numpy as np
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from pylab import *
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startpos = []
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endpos = []
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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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parameterConfig.read('parfile')
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value = parameterConfig.get('vars', parameter).split('#')[0]
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value = value.replace(" ", "")
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value = parameterConfig.get('vars', parameter).split('\t')[0]
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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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import numpy as np
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dists = []
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picks = []
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snrs = []
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@ -34,6 +84,7 @@ 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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@ -45,25 +96,98 @@ def plotFittedSNR(dists, snrthresholds, snrs):
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plt.legend()
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def setFittedSNR(shot_dict, shiftdist = 5, p1 = 0.004, p2 = -0.004):
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import numpy as np
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#fit_fn = fitSNR4dist(shot_dict)
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fit_fn = np.poly1d([p1, p2])
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for shot in shot_dict.values():
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for traceID in shot.getTraceIDlist(): ### IMPROVE
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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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print "setFittedSNR: 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
|
||||
LatAll.append(getAngle(y)); LonAll.append(getAngle(x)); DepthAll.append((-1)*z)
|
||||
srcfile.writelines('%10s\n' %1) #
|
||||
srcfile.writelines('%10s %10s %10s\n' %(1, 1, ttfilename))
|
||||
ttfile = open(directory + '/' + ttfilename, 'w')
|
||||
traceIDlist = shot.getTraceIDlist()
|
||||
traceIDlist.sort()
|
||||
ttfile.writelines(str(countPickedTraces(shot)) + '\n')
|
||||
for traceID in traceIDlist:
|
||||
if shot.getPick(traceID) is not None:
|
||||
pick = shot.getPick(traceID) * fmtomo_factor
|
||||
delta = shot.getPickError(traceID) * fmtomo_factor
|
||||
(x, y, z) = shot.getRecLoc(traceID)
|
||||
ttfile.writelines('%20s %20s %20s %10s %10s\n' %(getAngle(y), getAngle(x), (-1)*z, pick, delta))
|
||||
LatAll.append(getAngle(y)); LonAll.append(getAngle(x)); DepthAll.append((-1)*z)
|
||||
count += 1
|
||||
ttfile.close()
|
||||
srcfile.close()
|
||||
print 'Wrote output for %s traces' %count
|
||||
print 'WARNING: output generated for FMTOMO-obsdata. Obsdata seems to take Lat, Lon, Depth and creates output for FMTOMO as Depth, Lat, Lon'
|
||||
print 'Dimensions of the seismic Array, transformed for FMTOMO, are Depth(%s, %s), Lat(%s, %s), Lon(%s, %s)'%(
|
||||
min(DepthAll), max(DepthAll), min(LatAll), max(LatAll), min(LonAll), max(LonAll))
|
||||
|
||||
def getShotlist(shot_dict):
|
||||
shotlist = []
|
||||
for shot in shot_dict.values():
|
||||
shotlist.append(shot.getShotnumber())
|
||||
shotlist.sort()
|
||||
return shotlist
|
||||
|
||||
def getShotForShotnumber(shot_dict, shotnumber):
|
||||
for shot in shot_dict.values():
|
||||
if shot.getShotnumber() == shotnumber:
|
||||
return shot
|
||||
|
||||
def getAngle(distance):
|
||||
'''
|
||||
Function returns the angle on a Sphere of the radius R = 6371 [km] for a distance [km].
|
||||
'''
|
||||
import numpy as np
|
||||
PI = np.pi
|
||||
R = 6371.
|
||||
angle = distance * 180 / (PI * R)
|
||||
return angle
|
||||
|
||||
def countPickedTraces(shot):
|
||||
numtraces = 0
|
||||
for traceID in shot.getTraceIDlist():
|
||||
if shot.getPick(traceID) is not None:
|
||||
numtraces += 1
|
||||
print "countPickedTraces: Found %s picked traces in shot number %s" %(numtraces, shot.getShotnumber())
|
||||
return numtraces
|
||||
|
||||
def countAllPickedTraces(shot_dict):
|
||||
traces = 0
|
||||
for shot in shot_dict.values():
|
||||
traces += countPickedTraces(shot)
|
||||
return traces
|
||||
|
||||
def findTracesInRanges(shot_dict, distancebin, pickbin):
|
||||
'''
|
||||
Returns traces corresponding to a certain area in a plot with all picks over the distances.
|
||||
|
||||
|
||||
:param: shot_dict, dictionary containing all shots that are used
|
||||
:type: dictionary
|
||||
|
||||
|
||||
:param: distancebin
|
||||
:type: tuple, (dist1[m], dist2[m])
|
||||
|
||||
|
||||
:param: pickbin
|
||||
:type: tuple, (t1[s], t2[s])
|
||||
|
||||
'''
|
||||
shots_found = {}
|
||||
for shot in shot_dict.values():
|
||||
@ -75,3 +199,6 @@ def findTracesInRanges(shot_dict, distancebin, pickbin):
|
||||
shots_found[shot.getShotnumber()].append(traceID)
|
||||
|
||||
return shots_found
|
||||
|
||||
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user