Python Applications in the Oil &Gas Industry

1. The Basics

• Introduction to Anaconda

• Installing Anaconda Python Package

• Python Programming Language: First Look

• Basic Expressions in Python

• Variables and Data Types

2. Beyond Basics

• Data Containers and Corresponding Types

• Introduction to Structured Data Manipulation Using Pandas

• Code Flow Control and Decision Making

• PVT Example

• Introduction to Python Built-in Functions

• Modules and User-defined Functions

• 2D Plotting for Scientific Purposes Using Matplotlib

3. Diving Deep into Oil and Gas Diagnostics

• Multi-series Plot in Matplotlib

• Polynomial Fitting Using NumPy

• Basic Matplotlib Figure Configurations

• Liquid Loading (Turner’s Rate) Example

• Data Manipulation Using Pandas

• Injectivity Index Diagnostic

4. Mapping, Networking, and Data Aggregations

• Introduction to Matplotlib 2D Surface Mapping

• Oil Field Formation Depth Mapping Example

• Water-Oil Contact 3D Mapping

• Running Average for Oil Production and WHP

• Creating Production Networks for Zonal Allocation

5. Advanced Python Applications

• Introduction to lasio Package

• Well Log File Loading (LAS)

• Calculating Open Hole Volume Example Using Caliper Data

• Introduction to Directional Calculation and Visualization

• Visualizing 3D Well Trajectory Example

• String Formatting

• Data Casting

• Advanced PVT Example

• Evaluation of Corroded Pipe Integrity Example

6. Python Dashboarding and Database Management

• Introduction to Object-Oriented Python (OOP)

• Introduction to Dashboarding Library

• Exploring VOLVE Production Data

• Building an Interactive Production Monitoring Dashboard

• Connecting to SQL Databases

7. Other Python Applications and Programming Concepts

• Maintaining Good Code Practices

• Refactoring

• Clean Codes

• Object-Oriented Programming (OOP)

• PEP 8 Standards

This course is designed to provide a comprehensive understanding of Python applications tailored to the Oil and Gas industry!