PetroPy
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A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic...
I have tried my own LAS as well as the example included in the data set, being careful to customize the XML curve names explicitly as they are found in...
Do we need to edit xml templates to display imported tops in the log panel? I made the following change in default_raw_template.xml but it didn't work. My imported tops.csv has...
Stoked to keep working with this program! I am attempting to run the wolfcamp_single example and I am running into an error: AttributeError: 'DataFrame' object has no attribute 'as_matrix' Looking...
when I load my own logs into the examples the depths are from descending order ie 3600 to 3000. I want to reverse the depth axis to be in ascending...
Here is what I did: ```python import petropy as ptr log = ptr.log_data('WFMP') # create LogViewer with 'raw' template viewer = ptr.LogViewer(log,top = 6900, height= 2000) viewer.fig.set_size_inches(11,30) viewer.show() # diplay...
Here is the versions of pandas, numpy and matplotlib I'm using. ``` numpy 1.16.3 py37he5ce36f_0 conda-forge matplotlib 3.1.0 py37_0 conda-forge matplotlib-base 3.1.0 py37h5f35d83_0 conda-forge pandas 0.24.2 py37hf484d3e_0 conda-forge petropy 0.1.6...
Awesome program! When I try to adapt to my own LAS file, ptr.LogViewer returns a value error that "Curve CAL_N not found in log." I don't have this trace (although...
when I use... ``` lasfilepath = r'1044931248.las' log = ptr.Log(lasfilepath) tops_path = r'D:\Users\duncan.hay\Documents\python\petrophysics\tops.csv' log.tops_from_csv(tops_path) print (log.tops) ``` it returns an empty dictionary meaning i cant use any of the additional...
In fluid_properties(), case oil_api=0, the cited eq. 1.64 should have M instead of gas_grav. Because M=Ma*gas_grav, and Ma= 28.9625 lbm/lbm-mol, then just replace gas_grav for 28.9625*gas_grav. Densities will now make...
Hi, can we extend the library to show well correlation?