Where I've Worked
Here, you'll find a showcase of my experiences accumulated over the years. While I bring valuable expertise, I remain open to exploring new opportunities and challenges, ready to adapt and contribute to a variety of roles.
View Full ResumeMay 2025 – Present
Rystad Energy - Jr. CCUS Research Analyst
Oct 2024 – May 2025
Gada Energi – Reservoir Engineer Support for KUFPEC Indonesia in Natuna D-Alpha Joint Study
- Interpret reservoir properties through nodal, petrophysical, and fluid analyses, and perform reservoir simulations, including initialization, history matching, and production forecasting. Plan and design development wells to optimize field performance.
- Perform feasibility studies and reservoir simulations for CO₂ injection in aquifers, assessing risks and potential for carbon sequestration.
- Streamline data processing and improve carbonate reservoir operations using Python programming.
- Compile technical reports and collaborate with KUFPEC Indonesia's Subsurface Team, contributing to strategic planning for the Natuna D-Alpha Field.
Jul 2024 – Sep 2024
Gada Energi – Reservoir Engineer Support for PHE OSES in GGR Study
- Conducted reservoir simulation for history matching and material balance analysis.
- Integrated Python programming to streamline data processing for material balance and property adjustments, enhancing efficiency in managing a sandstone reservoir with 50+ wells and 4 perforated layers.
- Prepared detailed reports and collaborated with Pertamina Hulu Energi Offshore Southeast Sumatera's (PHE OSES) Subsurface Team on strategic initiatives for the Zelda Field.
Jan 2023 – Jul 2024
Research Assistant for Research, Community Service, and Innovation Program (PPMI)
- Developed Python code for well log data processing, offering greater flexibility and customization compared to conventional software.
- Created Python code to optimize pipeline route, enabling accurate estimation of pipe lengths and construction costs, improving cost analysis for economic feasibility studies in pipeline projects.
Jun 2023 – Jul 2023
Pertamina EP – Production Engineer for Practical Work Program in Zona 7 Tambun Field
- Gained experience and knowledge in well perforation and artificial lifting techniques. Completed a research project titled "Utilizing Quadrant Mapping for ESP Wells Monitoring in XYZ Field," achieving an A-grade score of 87.75/100.
Some Things I've Built
Personal Project
Optimizing Development Well Targets
Designed a strategy to pinpoint optimal sweat points for development wells by processing KH-GIIP maps exported from Petrel using Python. Constraints included a maximum distance of 3 km from the platform, minimum 500 m between targets, KH above 10 D.ft, and ranking targets based on GIIP values.
- Petrel
- Python
Personal Project
Time-Dependent Pressure Prediction
Built a machine learning model to predict formation pressure over time for layers without existing data. Pressure and production data were split by formation layers, using field pressure and production inputs for training. This approach improved accuracy in reservoir pressure prediction.
- OFM
- MBAL
- Python
Personal Project
Well Correlation with Dynamic Time Warping
Developed a predictive model to analyze well correlations using gamma ray data. Implemented the Dynamic Time Warping algorithm to assess and compare patterns across multiple wells for geological insight.
- Python
Personal Project
Optimal Pipeline Routing with Dijkstra's Algorithm
Calculated the optimal distance between points considering pipeline distance and pressure drop constraints. Using Dijkstra’s algorithm, the project provided cost-efficient and technically viable routing solutions.
- Python
Personal Project
Well Log Data Processing using Python
Automated well log data processing using Python to enhance computational flexibility and enable dynamic, user-defined calculations for well log analysis.
- Python
Personal Project
Predicting Rock Types from Well Log Data Using Machine Learning
Developed a machine learning model to predict rock types across all depths of a well without rock type data. The model was trained using data from other wells within the same field, ensuring consistency and reliability in predictions.
- Python
Personal Project
Business Intelligence Dashboard for a Fictional Manufacturing Company
Designed and developed a dynamic business intelligence solution for AdventureWorks Cycles, a fictional manufacturing company.Transformed raw data into insights using Power Query, relational data modeling, and DAX calculations. Delivered reports to track KPIs, analyze product trends, and identify high-value customers, simulating real-world business intelligence tasks
- Power BI
This website is a dynamic space, continuously updated with new projects and improvements. Exciting developments are in the works, so stay tuned for updates!