Question: What is the definition of Petroleum Data Analytics?

Answer: Petroleum Data Analytics refers to the collection of Artificial Intelligence and Machine Learning tools, techniques, and methodologies that use data (actual field measurements) as the starting point, building blocks, and foundation of analysis, workflows, modeling, and decision making.

Question: What are the main components and technologies that form Petroleum Data Analytics?

West Virginia University Laboratory for Engineering Application of Data Science
West Virginia University Laboratory for Engineering Application of Data Science

Answer: The main technologies that are integrated to form Petroleum Data Analytics are Artificial Intelligence and Machine Learning algorithms. …


The Main Characteristics of Engineering Application of Artificial Intelligence (PART ONE)

Outline
Introduction — (Part One)
Explaining Traditional Engineering Models — (Part One)
Explaining Models of Physics Developed by AI & Machine Learning (XAI) — (Part Two)
- Part 1 of XAI: Key Performance Indicators (KPI) — (Part Two)
- Part 2 of XAI: Sensitivity Analysis — (Part Two)
— Step One: Single Parameter Sensitivity Analysis — (Part Two)
— Step Two: Double Parameters Sensitivity Analysis — (Part Two)
— Step Three: Multiple Parameters Sensitivity Analysis — (Part Two)
- Part 3 of XAI: Type Curves — (Part Three)
— Explainable AI Model for Unconventional Reservoirs…


The Main Characteristics of Engineering Application of Artificial Intelligence (PART TWO)

Outline
Introduction — (Part One)
Explaining Traditional Engineering Models — (Part One)
Explaining Models of Physics Developed by AI & Machine Learning (XAI) — (Part Two)
- Part 1 of XAI: Key Performance Indicators (KPI) — (Part Two)
- Part 2 of XAI: Sensitivity Analysis — (Part Two)
— Step One: Single Parameter Sensitivity Analysis — (Part Two)
— Step Two: Double Parameters Sensitivity Analysis — (Part Two)
— Step Three: Multiple Parameters Sensitivity Analysis — (Part Two)
- Part 3 of XAI: Type Curves — (Part Three)
— Explainable AI Model for Unconventional Reservoirs…


The Main Characteristics of Engineering Application of Artificial Intelligence (PART THREE)

Outline
Introduction — (Part One)
Explaining Traditional Engineering Models — (Part One)
Explaining Models of Physics Developed by AI & Machine Learning (XAI) — (Part Two)
- Part 1 of XAI: Key Performance Indicators (KPI) — (Part Two)
- Part 2 of XAI: Sensitivity Analysis — (Part Two)
— Step One: Single Parameter Sensitivity Analysis — (Part Two)
— Step Two: Double Parameters Sensitivity Analysis — (Part Two)
— Step Three: Multiple Parameters Sensitivity Analysis — (Part Two)
- Part 3 of XAI: Type Curves — (Part Three)
— Explainable AI Model for Unconventional Reservoirs…


The Main Characteristics of Engineering Application of Artificial Intelligence (PART FOUR)

Outline
Introduction — (Part One)
Explaining Traditional Engineering Models — (Part One)
Explaining Models of Physics Developed by AI & Machine Learning (XAI) — (Part Two)
- Part 1 of XAI: Key Performance Indicators (KPI) — (Part Two)
- Part 2 of XAI: Sensitivity Analysis — (Part Two)
— Step One: Single Parameter Sensitivity Analysis — (Part Two)
— Step Two: Double Parameters Sensitivity Analysis — (Part Two)
— Step Three: Multiple Parameters Sensitivity Analysis — (Part Two)
- Part 3 of XAI: Type Curves — (Part Three)
— Explainable AI Model for Unconventional Reservoirs…

Shahab Mohaghegh

Pioneer in the application of AI+ML in the petroleum industry, Professor at West Virginia University and CEO of Intelligent Solutions, Inc. (ISI).

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