AI & ML Applications in Oil and Gas Industry

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AI & ML Applications in Oil and Gas Industry

本课程是 Petroleum Engineering with AI Applications 专项课程的一部分

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2个模块

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作业

2 项作业

授课语言：英语（English）

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Petroleum Engineering with AI Applications 专项课程专项课程的一部分

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该课程共有2个模块

This course, “AI&ML Applications in Oil and Gas Industry” takes into a comprehensive journey through the oil and gas industry, exploring both the fundamental overview and the cutting-edge applications of Artificial Intelligence and Machine Learning (AI&ML). It gives a holistic understanding of the industry's core principles, while uncovering the transformative potential of AI&ML technologies in revolutionizing operations and decision-making processes.

This course begins with an in-depth exploration of the origin and formation of crude oil, types of reservoirs and the entire life cycle of oil and gas fields. It reveals the intricacies of oil and gas exploration methods, drilling processes, gathering stations and surface production/separation facilities. It covers the essentials of crude oil treating systems, natural gas processing and onshore/offshore hydrocarbon storage facilities. This course delves into the forefront of AI&ML applications within the oil and gas industry. It explains how ML techniques enhance seismic data processing, geomodelling and reservoir engineering, enabling accurate reservoir characterization and optimal production engineering. It also explores the vast potential of AI in the upstream sector, revolutionizing exploration, drilling and production optimization. It keeps the learners updated on the latest advances in AI technology and big data handling, empowering them to drive innovation and efficiency in the industry. Target learners: Students pursuing Diploma / UG / PG Programs in Chemical/ Petroleum/ Oil and Gas Engineering. Faculties / Working Professionals in the above domain & other aspiring learners. Prerequisite: Basic Chemical/ Petroleum/ Oil and Gas Engineering with Basic Python knowledge.

The module on "Overview of Oil and Gas Industry" provides students with a comprehensive understanding of the fundamentals and key components of the oil and gas industry. It begins with an exploration of the origin and formation of crude oil, enabling students to grasp the geological processes that lead to its existence. It further discusses elaborately the accumulation and types of reservoirs, gaining insights into the various geological formations that contain oil and gas. The module provides an overview of the life cycle of oil and gas fields, covering exploration methods used to identify potential reserves. It also explores the equipment used in upstream oil and gas production, including drilling rigs, gathering stations and surface production/separation facilities. Furthermore, it introduces crude oil treating systems and natural gas processing, understanding the processes involved in refining and purifying these resources. The module concludes with an exploration of onshore and offshore hydrocarbon storage facilities, highlighting their importance in the oil and gas industry.

涵盖的内容

14个视频1个作业

14个视频总计116分钟

About the Specialization 3分钟
About the Course 2分钟
Origin and Formation of Crude Oil 11分钟
Accumulation and Types of Reservoir - Part 1 9分钟
Accumulation and Types of Reservoir - Part 2 6分钟
Introduction to Oil and Gas Field Life Cycle 8分钟
Introduction to Oil and Gas Exploration Methods 11分钟
Equipment in Upstream Oil and Gas Production 12分钟
Introduction to Oil and Gas Drilling Process 6分钟
Introduction to Gathering Stations 10分钟
Surface Production-Separation Facility - Schematic and Overview 13分钟
Introduction to Crude Oil Treating Systems 8分钟
Introduction to Natural Gas Processing 10分钟
Onshore and Offshore Hydrocarbon Storage Facilities 8分钟

1个作业总计30分钟

Assignment on Overview of Oil and Gas Industry 30分钟

The module on "AI & ML Applications in the Oil and Gas Industry" explores the transformative role of artificial intelligence and machine learning in revolutionizing the operations and decision-making processes within the industry. The module begins with a comprehensive review of the impacts of ML in the oil and gas industry, highlighting the key advancements and benefits brought about by these technologies. It further delves into specific applications, starting with seismic data processing techniques, focusing on salt body delineation. It also explores the geomodelling process and its integration with AI and ML algorithms for accurate reservoir characterization. Reservoir engineering will be a key focus, with emphasis on ML techniques for reservoir rock classification and optimal production engineering. It gives insights into the application of AI in the upstream sector of the industry, exploring its use in exploration, drilling and production optimization. Advances in AI technology specific to the oil and gas industry is covered, including the integration of machine learning with sensor data, predictive maintenance and anomaly detection. It gives a fundamental understanding of data handling in the industry and the state-of-the-art approaches to handle big data in the oil and gas domain.

涵盖的内容

15个视频1个作业

15个视频总计141分钟

Objectives - Mindmap 2分钟
Impacts of ML in O&G Industry - A Review - Part 1 10分钟
Impacts of ML in O&G Industry - A Review - Part 2 10分钟
Seismic Data Processing Techniques - Part 1 8分钟
Seismic Data Processing Techniques - Part 2 14分钟
Geomodeling Process 9分钟
ML in Reservoir Engineering (Reservoir Rock Classification) - Part 1 7分钟
ML in Reservoir Engineering (Reservoir Rock Classification) - Part 2 10分钟
Optimal Production Engineering in O&G Industry 12分钟
AI in upstream Sector of O&G Industry 12分钟
Advances in AI Technology for O&G Industry - Part 1 7分钟
Advances in AI Technology for O&G Industry - Part 2 8分钟
Fundamentals of Data Handling in O&G Industry - Part 1 7分钟
Fundamentals of Data Handling in O&G Industry - Part 2 13分钟
SOA of Big Data for O&G Industry 12分钟

1个作业总计30分钟

AI&ML Applications in Oil and Gas Industry 30分钟

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位教师

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4 stars
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已于 Sep 7, 2025审阅

I enjoyed the course, but it would be better with more practical application.

已于 May 2, 2025审阅

The course is very good. In my perspective they can add more practical sessions instead of theory

已于 Dec 27, 2024审阅

Provides overview of the AI & ML application with examples, simulated results. Changes traditional way of thinking to new AI dimension

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