search for: boreholes

...mpty data.frame borehole_Out<-data.frame(BHID=integer(),FROM=numeric(),TO=numeric()) # initialize the counter i=1 # from this point starts the loop--------------- while(i<=borehole_number){ DFi <- subset(DF, BHID %in% borehole_names[i,1]) # Individual data frame for each boreholes # take the beginning and end of every BOREHOLE startBH<-head(DFi$FROM,1) endBH<-tail(DFi$TO,1) # create the normalized intervals borehole_i<-divide.int(FROM=startBH,TO=endBH,div=LEN) borehole_Out<-rbind(borehole_Out,borehole_i) i=i+1 } borehole_Out } # T...

...d question is more general but hopefully not OT: Currently we are using the software TPROGS, which let people simulate property distributions in space by some Markov Chain approaches. We face some problems due to the lack of information between distances of samples along borehole path and among boreholes. Is there any way to "trick" it like for instants in variogram modeling were one might use nested variograms...? Thank you, Torsten

Hi all, This is more a help on ideas that on actuall R code. Those of you which are geologist or work with boreholes woudl understand that i would like to achieve. I'll tr to explain as good as I can...so here it goes.. I have around 1000 geomechanical (geological) borehole logs in a database. The logs contain staial info, lithology and some laboratory data. My initial goal is compare the boreholes...

Greetings, all I am having difficulty getting the fitdistr() function to return without an error on my data. Specifically, what I'm trying to do is get a parameter estimation for fracture intensity data in a well / borehole. Lower bound is 0 (no fractures in the selected data interval), and upper bound is ~ 10 - 50, depending on what scale you are conducting the analysis on. I read in the