Programming Fundamentals using Python Level 1

Core Python programming concepts applied to engineering and data tasks.

• What is a program?
• How to run Python and its modes of running?
• Get the hang of debugging skill in Python.
• Arithmetic operators in Python
• Values and types in Python
• How to define variables and use them in your code?
• What is meant by a variable?
• What is meant by an expression?
• Order of operations.
• String Operations in Python.
• How to write comments in Python ?
• What is meant by a function?
• Function types and uses in Python.
• What is meant by parameters and arguments?
• Fruitful and void functions in Python.
• Boolean expressions in Python.
• What is meant by logical operators and how can you use them in Python?
• Conditional execution in Python.
• Chained and Nested conditionals in Python.
• Recursion in Python.
• Return values, Boolean functions and checking types in Python.
• Iteration statements in Python (While loop, for loop, break).
• How to deal with strings in Python (ex. Get the length of a string, traverse a string, string methods, in operator, compare two strings, etc.)?

Well Control Preparation

Techniques and procedures to prevent and manage wellbore kick and blowouts.

• Pressure Basics.
• Mud Weight Window.
• Well Control Barriers concept.
• Kick Theory.
• Causes of kicks.
• Kicks warning signs
• Shut in Procedures.
• Well control methods.
• Kill sheet calculations.
• BOP Equipment.
• Mud Gas Separator.

Analytics and Machine Learning Applications in Oil Industry

Master essential skills in Python, SQL, data analytics, machine learning, and MLOps. Gain hands-on experience and practical knowledge to effectively apply advanced data science techniques in the oil industry.

Day#1: Python & SQL Basics
• Data Structure.
• Functions and Classes.
• Object Oriented Programming.
• Scripting.
• Common Python Libraries.
• SQL Expressions.
• Accessing databases with Python.

2.Day#2: Data Analytics in Python:
• Exploratory Data Analysis.
• Inferential Statistical Analysis.
• Visualization and Data Representation.
• Text Mining.


3.Day#3: Machine Learning with Python:
• Introduction to ML Applications in Petroleum Engineering.
• Supervised ML.
• Unsupervised ML.

4.Day#4: Deep Learning:
• Neural Networks.
• Computer Vision Applications.
• Large Language Models in Petroleum Engineering.


5. Day#5: MLOps:
• Experiment tracking.
• Orchestration.
• Deployment with Docker and Cloud.
• Monitoring.

Process Safety Management

Managing process risks to prevent accidents and ensure operational safety.

1. Understand Why Process Safety Management (PSM) Was Promulgated
2. Understand the basics of process hazard analysis techniques
3. Understand the Team Process to Developing a PSM Program
4. Understand Each of Elements of a Properly Designed & Implemented PSM OSHA standard
5. Understand the Basics of How PSM & RMP Work Together to Protect the Workforce & Surrounding Community

OSHA General Industry

Understanding occupational safety and health standards in industrial operations.

PowerBI in Oil & Gas

Leveraging Power BI for visualization, analysis, and decision-making in oil & gas data.

AI Drilling

Training on applying AI and machine learning techniques to optimize drilling operations and enhance decision-making.