import log2frame
A function to read well log data in LAS, LIS and DLIS formats and extract curves data as DataFrame.
The curves and header data are stored in an instance of Log
class, designed to hold this data and operate with it.
If multiple log files are read together, the Log instances are packed in a Pack
instance, designed to hold Log
instances and operate with them.
Simply call the function read()
with the path or path pattern as argument:
To load a single .las, .lis or .dlis file. The function will return a Log
instance containing the data:
log2frame.read( path_to_file )
To load several files at once. In this case the read()
function will return a Pack
instance containing a Log
instance for each log file:
log2frame.read( path_to_folder_containing_files/*.* )
By default, any invalid file will be ignored, thus, there is no problem to have other files in the same folder as the log files.
To read files recursively in subdirectories, use the appropriate fnmatch
pattern:
log2frame.read( path_to_folder_containing_files/**/*.* )
Please refer to the Jupyter notebook log2frame_demo for further examples and details on how to use log2frame
.
The sample data is publicly available at NLOG.