About this Training Course
Science & Engineering Applications of Artificial Intelligence (SEA-AI) has the capability to reduce, curb and even prevent Climate Change. Given the fact that Carbon Capture and Sequestration (CCS) can significantly contribute to the minimization of climate change, then CCS Analytics that incorporate SEA-AI to CCS is a vital technology for reducing and even preventing climate change. The main reason of positive and important contribution of AI to Climate Change has much to do with its engineering application that mainly uses reality and facts and avoids marketing, business, and political ideas. This 3-day training will focus on how to enhance your CCS strategies with the latest innovative technologies.
Artificial Intelligence is the new revolution of science and technology. The objective of this course is to:
- Examine the most up-to-date and accurate AI and Machine Learning technology
- How to use Artificial Intelligence to enhance CCS in order to positively impact climate change
- Discover the scientific and realities foundation of AI and Machine Learning and its true application within reservoir engineering
- Explore the engineering application of Artificial Intelligence
- Incorporate reservoir engineering application of AI & Machine Learning for CO2 Storage in geological formations
- Determine the best methods for carbon storage through AI-based reservoir simulation
This course is designed for but not limited to:
- Geoscientists
- Drilling engineers
- Operation managers
- Geologist
- Reservoir engineers
- Production engineers
- Planning managers
- Asset management
- Intermediate
- Advanced
The training course is presented in an interactive workshop format that allows for discussion. The course will be delivered through analysis of case studies and running examples of problems.
Course Duration: 3 days in total (21 hours)
The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. Interaction verbally will be necessary to achieve the best learning outcome from the materials.
Course timings and breaks
0830 – Registration 0900 – Start of training 1030 – Morning break 1045 – Training recommences 1230 – Lunch break 1330 – Training recommences 1515 – Afternoon break 1530 – Training recommences 1700 – End of training
This course is limited to a maximum of 20 participants only.
This course is not available through Virtual Instructor Led Training (VILT) format.
Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.
In our ongoing commitment to sustainability and environmental responsibility, we will no longer providing hard copy training materials. Instead, all training content and resources will be delivered in digital format. Inspired by the oil and energy industry’s best practices, we are leveraging on digital technologies to reduce waste, lower our carbon emissions, ensuring our training content is always up-to-date and accessible. Click here to learn more.
Learn what past participants have said about EnergyEdge training courses
It was really an amazing session with the facilitator on Artificial Intelligence.
Petroleum Data Analyst, CLI-TECH
Thanks to the trainer for walking us through the fundamentals of data analytics and its application in the energy industry.
Senior Reservoir Engineer, Chevron
Thank you for bringing us these amazing opportunities to continue our education on these cutting-edge topics that are changing the traditional way to model and analyze oil and gas reservoirs.


