Welly Python Library for Working With Multiple Well Log LAS Files 

Thanks, much more to come!

Thanks. :)

Thanks. Hope you also have a great 2022.

as always, thanks for this videos!

Thanks. I have that one on the list to be made.

Were you able to load in the las data without any errors? Also, it may be worth checking the original las file to see if it has full header properties

I am not sure it will be able to handle this. You may need to look into something that uses a databases to store data between updates.

Thanks Allan. I do have the following video and article on working with DLIS files that may be of help DLIS Files - Loading and Exploring Digital Log Interchange Standard Files ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-TJOKyzUaag8.html Article version towardsdatascience.com/loading-well-log-data-from-dlis-using-python-9d48df9a23e2

To use aliasing, you need to set up a dictionary such as: alias = {"Gamma": ["GR", "GAM", "GRC"]} Then pass this into the Welly functions.

@@AndyMcDonald42 Thanks. I tried this. Though it works while displaying data, somehow it doesn't work when checking the quality. import welly.quality as qty alias = { "GAM": ["GR_NORM","GRC","GR"], "DEN": ["RHOB_NORM", "ZDENC", "ZDEN","RHOB", "RHOZ"], "NEUT" : ["NPHI_NORM", "CNC", "CNCF", "CN"], "SONIC" : ["DT_NORM", "DTC", "DT"], "PEF" : ["PEF_NORM", "PEC", "PE", "PEF"], "RESD" : ["LLD", "RD", "RLA5", "P34H"] } keys = {"GAM","DEN","NEUT","SONIC","PEF","RESD"} tests = { 'All': [qty.no_similarities], 'Each': [qty.no_monotonic], 'Each': [qty.no_flat], 'GAM': [ qty.all_positive, qty.mean_between(10, 100), ], 'Den': [qty.mean_between(1.8,2.5)], 'Sonic': [qty.mean_between(60, 140)], 'NEUT':[qty.mean_between(0.1,0.5)], 'RESD':[qty.mean_between(1,200)], 'PEF':[qty.mean_between(1.5,3.5)] } html = p.curve_table_html(keys = keys, alias = alias, tests=tests) HTML(html) It only checks curves which have same name as the keys. For example, it does not recognize RHOB_NORM as Den when checking the quality and only checks quality for PEF curves. Maybe I am doing a silly mistake somewhere.

Thanks H L. I believe it is possible. I will have a look into it and consider it for a future video. :)

You can reach me on LinkedIn. I will see what I can do to help