Sunday, May 29, 2016

What could you do with free data? Some of my favorite free data sources

Free data sources are easily used for projects. They have been heavily digested and results have a standard to measure against. Also, you could use them for training resources. What are my favorite data sources?

University of Texas and Texas A&M University Lands FTP Site:
ftp://publicftp.utlands.utsystem.edu/
http://www.utlands.utsystem.edu/

  • LAS files for a bit of coverage of Midland and Delaware Basins
  • Horizontal logs, Mud logs, triple combo, acoustic, and some specialty logs
  • TIFF images of well logs
If you wanted to pull the LAS files and zip files that might have LAS you could run this python code.  Just change the local_drive variable to where you want to save the data.  It will even retain the folder structure.  This will keep you from having to get the extra 100 gigs of TIFFs.  


from ftplib import FTP 
import os
import shutil

ftp_site = 'publicftp.utlands.utsystem.edu'
local_drive = 'G:/Projects/Permian/Data/UTLands/ScannedLogs'

ftp = FTP(ftp_site)
ftp.login()
root_dir = 'ScannedLogs'

for dir in ftp.nlst(root_dir):
    for subdir in ftp.nlst(root_dir + '/' + dir):
        files = ftp.nlst(root_dir + '/' + dir + '/' + subdir)
        for f in files:
            if '.las' in f or '.zip' in f or '.LAS' in f or '.ZIP' in f:
                src = str(os.path.join(root_dir, dir, subdir, f)).replace('\\', '/')
                print(src)
                dest = (str(os.path.join(local_drive, dir, subdir, f)).replace('\\','/'))
                #print(dest)
                if os.path.exists(os.path.join(local_drive, dir, subdir)) == False:
                    os.makedirs(os.path.join(local_drive, dir, subdir))
                if os.path.exists(dest) == False:
                    las_file = open(dest, 'wb')
                    ftp.retrbinary('RETR ' + src, las_file.write)
                    las_file.close()
ftp.quit()

Another good one that I hope to dive into one day is from the Kansas Geological Society.  Alan Byrnes worked on the Mesaverde tight gas sandstone across the Rockies.

  • Log Data
  • Core Measurement Data
  • Thin Section
  • Core Photos
  • Core Description
  • Maps
  • Full 300+ page report

http://www.kgs.ku.edu/mesaverde/

#free_data #PermianBasins #Mesaverde #Wolfcamp #DelawareBasin #MidlandBasin #Spraberry #ClearFork #Dean #BoneSprings #Avalon #Cline

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