Petroleum Engineering with AI Applications
About this Specialization
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.\\n\\nExplore 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.\\n\\nMidstream 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.\\n\\nEmphasize 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.\\n\\nThis course integrates traditional petroleum engineering with AI advancements, enhancing efficiency and productivity in the industry.Created by: L&T EduTech

Related Online Courses
The industry and profession in construction management is big business. The construction industry will continue to play a key role in society. Opportunities in construction management are endless.... more
By the end of this project, you will learn how to create and design engaging stories for Instagram and Facebook in Easil to promote your business. An essential role of your social media marketing... more
Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all... more
In this hands-on project, we will build and train an XG-Boost classifier to predict whether a person has a risk of having cervical cancer. Cervical cancer kills about 4,000 women in the U.S. and... more
This introductory course is designed for beginners with no prior knowledge of generative AI. You will start by gaining a high-level understanding of what generative AI is and how it works. Through... more