Module 1: (Day: 1 & 2)

·        Installing Anaconda Python Package

·        Introduction To Anaconda Software Packs

·        Introduction to Python Eco System

·        Why Python?

·        Basics expressions in python

·        Variables and Data Types

·        Sequences in Python (List, tuple, Set, Dictionary)

·        Simple Plot with Matplotlib

·        Inflow Performance Example

 

Module 2 (Day: 3 & 4)

·        More on Sequences.

·        Programming Loops (For and While)

·        Integrated If statements and loops(Including break, continue)

·        Introduction to Python Function(def keyword)

·        An Example on Recovery Factor(Guthrie Corr.)

·        A PVT Example

·        Exporting Plots

·        Export Calculation results to Excel

 

Module 3 (Day: 5 & 6)

·        Introduction to Pandas

·        Reading Tabulated Data

·        Reading Excel Sheets

·        Historical Data Plotting

·        Introduction to JupyterLab

·        Plotting with Plotly Express

·        Liquid Loading (Turner’s Rate) Example

·        Chan Plot Diagnostic (with Polynomial Regression)

·        Polynomial fitting using Numpy

·        Basic matplotlib figure configurations

 

 

Module 4 (Day: 7 & 8)

·        Introduction to matplotlib 2D Surface mapping

·        Contour Plots and it’s variants in Python

·        Oil Field Formation Depth Mapping Example

·        Water Oil Contact 3D mapping

·        Data Averaging using various techniques utilizing Oil Production and WHP

·        Working with Las Files and Well logs using Lasio.

 

 

Module 5 (Day : 9, 10)

·        Introduction to Plotly configuration

·        Plotly Subplots.

·        Introduction Sankey Charts.

·        An Example of Production Back Allocation

·        Creating Well and Separator Networks Visuals.

·        Introduction to two-phase multiphase flow package(psapy)

·        Prediction of BHP using Beggs and Brill

 

 

Module 6 ( Day : 11 & 12)

·        Introduction To Flow mapping using fluids package.

·        Multivariate scatter coloring and symbol setup.

·        Flow Stability Advisor Example.

·        NORSOK M-506 Corrosion Monitoring Example

·        Reading OLGA Trend Plots using Pyfas

·        Introduction to Dashboarding.

·        Working With Streamlit

 

 

Module (Day 7: 13 &14)

·        Creating Nodal Analysis Dashboard

·        Historical Production Data Dashboard

·        Recreating a PVT calculator using Dashbaords

·        Working with DCA (Simple time-rate solution)

 

Module 8 (Day: 15 & 16)

·        Introduction to Objected Oriented Python

·        Producing Clean Code.

·        Tips and Tricks for code maintenance and refactoring

·        Introduction to Machine Learning

·        Data Shaping and Normalization

·        Training Testing Split.

·        Regressions and Output prediction.

·        Classification problems with Machine Learning.

·        Creating Production prediction using ML

·        Multivariate regression.