AI & ML Applications in Oil and Gas Industry

通过 Coursera Plus 提高技能，仅需 239 美元/年（原价 399 美元）。立即节省

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

位教师：Subject Matter Expert

5,802 人已注册

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

61 条评论

初级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

61 条评论

初级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

2 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

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

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

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 Specialization3分钟
About the Course2分钟
Origin and Formation of Crude Oil 11分钟
Accumulation and Types of Reservoir - Part 19分钟
Accumulation and Types of Reservoir - Part 26分钟
Introduction to Oil and Gas Field Life Cycle8分钟
Introduction to Oil and Gas Exploration Methods11分钟
Equipment in Upstream Oil and Gas Production 12分钟
Introduction to Oil and Gas Drilling Process6分钟
Introduction to Gathering Stations10分钟
Surface Production-Separation Facility - Schematic and Overview13分钟
Introduction to Crude Oil Treating Systems8分钟
Introduction to Natural Gas Processing10分钟
Onshore and Offshore Hydrocarbon Storage Facilities8分钟

1个作业总计30分钟

Assignment on Overview of Oil and Gas Industry30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 - Mindmap2分钟
Impacts of ML in O&G Industry - A Review - Part 110分钟
Impacts of ML in O&G Industry - A Review - Part 210分钟
Seismic Data Processing Techniques - Part 18分钟
Seismic Data Processing Techniques - Part 214分钟
Geomodeling Process9分钟
ML in Reservoir Engineering (Reservoir Rock Classification) - Part 17分钟
ML in Reservoir Engineering (Reservoir Rock Classification) - Part 210分钟
Optimal Production Engineering in O&G Industry12分钟
AI in upstream Sector of O&G Industry12分钟
Advances in AI Technology for O&G Industry - Part 17分钟
Advances in AI Technology for O&G Industry - Part 28分钟
Fundamentals of Data Handling in O&G Industry - Part 17分钟
Fundamentals of Data Handling in O&G Industry - Part 213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 Industry30分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

授课教师评分

(15个评价)

Subject Matter Expert

L&T EduTech

121 门课程219,280 名学生

提供方

L&T EduTech

从 Mechanical Engineering 浏览更多内容

L&T EduTech
Petroleum Engineering with AI Applications
专项课程
状态：免费试用
类别：提供的学分
L&T EduTech
Industrial Applications of AI
课程
状态：免费试用
类别：提供的学分
Duke University
Oil & Gas Industry Operations and Markets
课程
类别：预览
类别：提供的学分
Microsoft
Microsoft AI & ML Engineering
专业证书
状态：免费试用
类别：提供的学分

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

学生评论

5 stars
81.96%
4 stars
14.75%
3 stars
3.27%
2 stars
0%
1 star
0%

显示 3/61 个

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 Sep 7, 2025审阅

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

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

查看更多评论

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.