
Studithermal is an intensive learning program (4-5 Month) designed to integrate digital transformation and Artificial Intelligence (AI) with real-world applications in sustainable geothermal development, supporting the green energy transition.

PT. Anugerah Indonesia Lima (AILIMA)

Ministry of Education, Culture, Research, and Technology (MoECRT)
Selected undergraduate Students from all over Indonesia with STEM (Science, Technology, Engineering, and Mathematics) backgrounds, currently in the 4th semester or above.
Online









Of participants
are interested in pursuing a career in the geothermal energy sector after completing the program.
Of participants
are interested in getting additional certification in the field of geothermal energy.

























STUDITHERMAL: Applied Data Management, Analysis, Modeling, And Machine Learning For Sustainable Geothermal Energy Development
- Learning that integrates Artificial Intelligence (AI) technology based on cloud computing in one platform called JIWA System;
- Creating synergy between understanding technology through Geothermal Software (JIWA System) with practical applications in the Geothermal industry;
- Through this program, participants will be able to combine technical and analytical skills to support the development of sustainable geothermal energy and other industries.
- Explain the opportunities and challenges of renewable energy in Indonesia from the perspectives of business, policy, and regulation.
- Describe the potential and utilization of geothermal energy in Indonesia
Learning Topics:
- Energy Business, Policy, and Regulation
- Geothermal Potency & Utilization
Mentoring:
- Update & Discussion with Mentor
- Explain the geothermal system, including definitions, types, and components.
- Describe the fundamentals of science and engineering, as well as the process of exploration, development, and utilization of geothermal resources for electricity generation (indirect use).
Learning Topics:
- Introduction to Geothermal System
- Introduction to Geoscience
- Introduction to Reservoir Engineering
- Introduction to Geothermal Production
- Introduction to Drilling Engineering
- Introduction to Power Plant
- Explain the concepts of data, data management, databases, and their applications in the geothermal industry at the stages of 3G exploration, drilling and well testing, and operations and maintenance (O&M).
- Perform integrated and collaborative management of geothermal technical data.
- Describe the fundamentals of data analysis and modeling for geothermal projects after data management has been conducted.
Learning Topics:
- Concept of Data
- Geothermal Data Management & Database
- Integrated Geothermal Data Management with JIWA DBase
- Introduction to Applied Data Analysis & Modeling for Geothermal Project
- Apply the steps and methods used in geothermal prospect evaluation.
- Perform data analysis, create conceptual models, estimate geothermal resources and reserves in MWe, and target geothermal wells.
Learning Topics:
- Prospect Evaluation in Geothermal
- Resource Conceptual Model
- Resource Assessment & Capacity Estimate
- Well Targeting and Geothermal T.o.R
- Conceptual Model Development, Resource Capacity Estimation and Well Targeting with JIWA System (DBase, Volumetric, Power Density, and T.o.R)
Mentoring:
- Update & Discussion with Mentor
- Apply the basic concepts of fluid flow, pressure loss, feed zones, and the functions and processes of wellbore simulation for geothermal wells.
- Perform production curve modeling, injection, and probabilistic estimation of geothermal well capacities
Learning Topics:
- Wellbore Modeling in Geothermal
- Fluid Flow, Pressure Drop Correlation, and Geothermal Feedzone
- Wellbore Simulator
- Geothermal Wellbore Simulation with JIWA Flow
Mentoring:
- Update & Discussion with Mentor
- Apply the steps and methods in planning geothermal well drilling projects.
- Apply the steps and methods to evaluate drilling performance, including bit performance, NPT, drilling cost, operational audit, and well integrity.
- Perform geothermal well drilling project planning.
- Evaluate geothermal drilling data to optimize subsequent drilling processes
Learning Topics:
- Performance Evaluation of Geothermal Drilling & Well Integrity
- Drilling Performance Evaluation & Well Integrity with JIWA DBase
- Introduction to Well Planning (Optional)
- Explain the financial, economic, and political issues related to the geothermal business.
- Explain the steps and parameters used in financial modeling.
- Perform financial modeling for the geothermal business.
Learning Topics:
- Introduction to Geothermal Investment & Financial Modeling
- Fundamentals in Financial Modeling
- Financial Modeling for Geothermal Project with Spreadsheet
Mentoring:
- Update & Discussion with Mentor
- Apply basic concepts in programming, data visualization, and dashboard creation.
- Create an analysis dashboard with a case study in the geothermal field.
Learning Topics:
- Basic Programming with Python
- Data Visualization in Energy Industry
- Microsoft Excel: Building Simple & Interactive Dashboard
- Analytics Dashboard Building with Python
- Explain the basic concepts and types of machine learning algorithms.
- Apply machine learning to the field of geothermal science.
Learning Topics:
- Machine Learning 101
- Fundamentals of Machine Learning
- Implementation of No-Code Machine Learning for Geothermal Project with JIWA Garuda
Mentoring:
- Update & Discussion with Mentor
- Create various materials needed for job application, such as CV preparation, interview techniques, and social media utilization.
- Apply soft skills required for a career in the energy industry.
Topik Pembelajaran:
- Applying Critical Thinking, Teamwork, and Time Management
- Technical Reporting, Presentation, and Peer-Review
- Career Preparation Essentials
- Apply the basic principles of geothermal project management, from planning, execution, and management in the development process of geothermal fields.
- Demonstrate teamwork in evaluating data, designing recommendations, and preparing technical reports for geothermal field development projects, based on the hard and soft skills provided in previous courses.
- Engage in networking activities with companies involved in the geothermal industry.
Learning Topics:
- Introduction to Geothermal Project Management
- Application of Data Management, Analysis, Modeling, and Machine Learning in Geothermal Project
- Technical Report & Presentation Drafting
- Internal Peer-Review and Report Finalizing
- Final Presentation
- Paper Writing and/ or Content Creation








MSIB x AILIMA Batch 6
Applied Data Management, Analysis, Modeling, and Machine Learning for Sustainable Geothermal Energy Developmental

MSIB x AILIMA Batch 7
STUDITHERMAL: Applied Data Management, Analysis, Modeling, and Machine Learning for Sustainable Geothermal Energy Developmental