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.
AI & ML Applications in Oil and Gas Industry
AI & ML Applications in Oil and Gas Industry
4,038 人已注册
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您将获得的技能
- Anomaly Detection
- Petroleum Industry
- Geostatistics
- Process Control
- Automation
- Data Processing
- Data Management
- Physical Science
- Machine Learning
- 3D Modeling
- Big Data
- Exploratory Data Analysis
- Oil and Gas
- Production Process
- Image Analysis
- Process Engineering
- Artificial Intelligence and Machine Learning (AI/ML)
- Energy and Utilities
- Natural Resource Management
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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
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
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
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
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4.3 (10个评价)
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学生评论
4.9
45 条评论
- 5 stars
88.88%
- 4 stars
8.88%
- 3 stars
2.22%
- 2 stars
0%
- 1 star
0%
显示 3/45 个
KS
5
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
AA
4
已于 May 2, 2025审阅
The course is very good. In my perspective they can add more practical sessions instead of theory
JJ
4
已于 Sep 7, 2025审阅
I enjoyed the course, but it would be better with more practical application.
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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.
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