Abstract
PyLogFinder is a Python program for automating the process of analyzing a large database of LAS files and selecting the LAS files that contain specific geophysical logs needed. PyLogFinder uses a mnemonic database of 2665 common mnemonics in searching the LAS file database. The mnemonic database can be easily edited and expanded by the user. This affords the user the possibility of searching the LAS database using mnemonics they are familiar with. PyLogFinder then generates a list and a graphical representation displaying the results.
Highlights
The Log ASCII Standard (LAS) format is a standard file format common in the oil and gas and water well industries for storing well-logging data; it contains records of several sub-surface measurements as functions of depth
PyLogFinder uses a mnemonic database of 2665 common mnemonics in searching the LAS file database
Many petrophysical and rock physics processes require using the same type of log present in numerous LAS files from different locations
Summary
Many petrophysical or geophysical applications often involve using the same type of geophysical logs from different locations, stored in different Log ASCII Standard (LAS) files. The LAS format is a structured ASCII file format containing log curve data and header information for records of several sub-surface measurements as functions of depth. Checking for specific logs in a large database of LAS files can be painstaking process taking several days. This process is further complicated by the use of mnemonics (different names) for the same log-type by different companies
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
