Coursera - Petroleum Engineering With Ai Applications Specialization
Last updated 3/2026
By Subject Matter Expert
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 163 Lessons ( 22h 19m ) | Size: 5.24 GB
What you'll learn
✓ AI/ML in seismic data and geomodelling improves reservoir accuracy and hydrocarbon recovery .
✓ Efficient data handling and AI tech enhance decision-making, predictive maintenance, and monitoring.
✓ Treating produced water and managing waste/vent systems ensures safety and environmental compliance.
Skills you'll gain
• Big Data
• Chemical Engineering
• Data Management
• Data Processing
• Electric Power Systems
• Energy and Utilities
• Environment Health And Safety
• Environmental Engineering
• Environmental Regulations
• Environmental Resource Management
• Failure Mode And Effects Analysis
• Hazard Analysis
• Oil and Gas
• Petroleum Industry
• Plant Operations and Management
• Process Engineering
• Pump Stations
• Risk Analysis
• Safety Standards
• Waste Minimization
• Show all
Petroleum Engineering with AI Applications offers a comprehensive learning experience combining upstream and midstream operations with AI. The course covers the oil and gas field life cycle, including exploration, drilling, oil recovery, transportation, separation systems, storage, natural gas production and processing, safety, utilities, environmental concerns, and AI applications.
Explore hydrocarbon reservoirs with geological and geophysical techniques. Learn drilling operations, well construction, equipment selection, and wellbore stability to optimize processes. Discover primary, secondary, and enhanced oil recovery methods like water flooding and gas injection.
Midstream operations cover pipeline systems, gathering stations, separation processes, oil treatment, storage, and safety measures. Understand natural gas extraction and purification principles. Learn about auxiliary equipment and utilities for upstream operations, including power and water treatment.
Emphasize safety protocols, environmental regulations, and sustainable practices. Apply AI and ML in the petroleum industry to enhance decision-making, optimize workflows, and address operational challenges.
This course integrates traditional petroleum engineering with AI advancements, enhancing efficiency and productivity in the industry.
Applied Learning Project
Project statements are framed in such a way that application of knowledge and skills learned from the entire modules of this course are require to complete the task.Students should complete a comprehensive project report covering the topics, Exploration, Drilling, Transportation and storage, Natural gas production and Processing, AI&ML applications, Utility Safety and Environment along with numerical problem solving based on industrial problems such as compression system, heat transfer requirement and pressure loss calculation in drilling operations. Successful completion of the project work will provide a mastery over upstream and midstream oil and gas operations.
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