pymbc 1.1.0

A python package for working with MB Century downhole data.

MB Century Downhole Data Toolkit

https://www.mbcentury.com/services

This toolkit provides easy access to data that has been exported from one of MB Century's data logging applications. It is primarily used to access downhole data that has been collected using MB Century's data collection systems.

Example use

Use pip to import the package.

pip import pymbc

Example python code

Open a CSV file containing PTS data, plot it against depth and time, and convert it to Well Test Analysis format.

import pymbc as mbc
from pathlib import Path

csvfile = Path(r'tests\_20230626_PTS__A.csv')
mb = mbc.MbcLog()
mb.ReadMbCsv(csvfile)
fnotes = csvfile.parent / (csvfile.stem + '_notes' + csvfile.suffix)
mb.ReadNotes(fnotes)
mb.CreateRunLog()
plotdef = [mbc.PlotDefinition('Timedelta', 'Depth', 'slategray', '-', False),
           mbc.PlotDefinition('Timedelta', 'Pressure', 'royalblue', '-', False),
           mbc.PlotDefinition('Timedelta', 'Frequency', 'darkorange', '-', False),
           mbc.PlotDefinition('Timedelta', 'Temperature', 'indianred', '--', True)]
st,figt = mbc.PlotLog(mb, plotdef, title=mb.name, depthaxis=False)

plotdef = [mbc.PlotDefinition('Depth', 'Timedelta', 'black', '-', False),
           mbc.PlotDefinition('Depth', 'Speed', 'forestgreen', '--', True),
           mbc.PlotDefinition('Depth', 'Pressure', 'maroon', '-', False),
           mbc.PlotDefinition('Depth', 'Temperature', 'royalblue', '-', True)]
sd,figd = mbc.PlotLog(mb, plotdef, title=mb.name, depthaxis=True)  

pts = mb.PtsWellTestAnalysis()
	

CHANGELOG

Version 1.0.1 12/06/2024

• Changed the column names to be consistant with industry norms.
• Added CreateRunLogGuess method to split log in to multiple runs automatically.

Version 1.0.0 21/05/2024

• Released to PyPI