Course Description
Unlike other energy resources, geothermal has a high associated risk (uncertainty). In terms of financial investment, developers have to run the numbers to identifying “What are my risk and potential reward? The goal here is to introduce financial tools to assess the feasibility of the geothermal project. The financial model is a powerful tool to solve this problem. This series of videos will cover the introduction to financial modeling, financial statement, time value of money, and financial parameters (e.g. NPV, IRR, PBP, LCOE). In the end, it also serves step-by-step video tutorials to help you understand better how financial model applies in the geothermal business. While you learn the fundamentals, you will also discover intriguing insight videos to satisfy your curiosity.
What you will learn ?
Designated to provide in-demand knowledge and skill to build financial model and assess financial risk in geothermal. We also provide data reference which common to be used in the industry!
- Identify financial parameters used in Financial Modelling
- How to apply project valuation in Geothermal Business
- Step-by-step tutorial on building financial modeling for Geothermal Business
- Discovers the financial, economic, and political issues in the Geothermal & Renewable Energy Business
Skills you acquired
- Financial Modelling
- Sensitivity Analysis
- Financial Statement
- Geothermal Basics
- Project Valuation
- Renewable Energy
- Time Value Money
- Energy Economics
Resume / Benefit
2,5 hours recorded video
3 months access
Self evaluation (exam)
Free consultation
Beginner level
Certificate of completion
Financial model access (.xls)
Financial modelling video tutorial
Financial Modelling for Geothermal Project
📣 Take a minute to set yourself up for success!
As you prepare to start this engaging course, we extend an invitation for you to complete a commitment statement.
By completing the commitment statement, you are making a commitment to yourself and setting the foundation for a successful learning journey. It will serve as a reminder of your goals, motivations, and the actions you plan to take throughout the course.
🌟 Join Our Course Community on Telegram!
Ready to take your learning experience to the next level? Join our exciting Telegram community and meet your course peers in a vibrant and engaging space.
By joining our community, you'll:
🤝 Connect & Greet: Say hello to fellow learners who are on the same course journey. Meet new friends, share experiences, and build a supportive network.
💡 Gain Valuable Insights: Engage in thought-provoking discussions, share ideas, and gain fresh perspectives from your peers. Together, we'll unlock deeper understanding and inspire each other.
✨ Foster Lasting Friendships: Spark friendships that go beyond the course. Encourage, support, and celebrate each other's achievements. Together, we'll make lifelong memories.
Come, let's learn, grow, and have fun together. See you on Telegram!
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AILIMA
Team
About Instructor
The increase of renewable energy’s contribution to support world energy demand requires continuous technology and people development. Hence, AILIMA is focused on bringing high-quality innovation to be more accessible to students, industry practitioners, and stakeholders.
Experience
AILIMA has completed geothermal projects in Indonesia since 2019 namely numerical modeling, automated flow measurement device installation, subsurface technical peer review, and well-testing analysis. The projects were completed by highly experienced and reliable professionals in the industry. Since the utmost client satisfaction is our main goal, thus innovation is continuously performed to enable early warning systems and fast solutions to both generation and resource problems through JIWA, an artificial intelligence embedded system.
Expertise
- Training
- Earth Science
- Reservoir Engineering
- Integrated Analysis
- Financial Analysis
Publication
- A New Machine Learning Algorithm for Production Well Analysis.
- The Review of Worldwide Geothermal Top of Reservoir with JIWA T.o.R
- Comparative Study of Decline Curve Prediction in Geothermal Injection Well Using Machine Learning and Wellbore Simulator
- Techno-economic Analysis in Developing Low to Intermediate Temperature Geothermal System in the Eastern Region of Indonesia
- JIWA Flow: A Cloud Computing Wellbore Simulator
