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Six web apps on one platform for Indonesian students and lecturers: exam tryouts, expense splitting, a money tracker, a learning-style test and AI planning tools. Built solo, launching soon.
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Hello, I'm
Petroleum Engineer & Subsurface ML Developer
Petroleum Engineering graduate from ITB. I work on subsurface reservoir data, physics-constrained machine learning, and the software around them.
B.Eng Petroleum Engineering, ITB (2026)

Connecting subsurface reservoir physics with data science, machine learning & software engineering.
Who's typing
I'm Alfan Rizki Maulana A.K.A Alrim, most people just call me Alfan. I graduated in Petroleum Engineering from Bandung Institute of Technology (ITB) in 2026, having written my thesis on identifying undrained reservoir zones in a mature waterflooded field.
The work I like sits between two things: subsurface physics and code. At Medco E&P I built a screening pipeline that found undrained oil from about 300 lines of data, because there was never going to be enough to train a model the normal way. That constraint is the interesting part.
Selected work
Web apps, calculators and the research behind them.
Six web apps on one platform for Indonesian students and lecturers: exam tryouts, expense splitting, a money tracker, a learning-style test and AI planning tools. Built solo, launching soon.
A five-person development plan for a Baturaja carbonate oil field in South Sumatra. My modules: the PIPESIM pipeline network, the Saphir well test and the HSE section.
My thesis. How much of a waterflood's sweep can you reconstruct without running a reservoir simulator?
Multiplayer gamified quiz and gacha character app built for Komisariat HMTM 'PATRA' ITB.
Experience & education
An internship in the field, a degree that ended in a thesis I'm proud of, and the jobs that paid for it.
Medco E&P Indonesia
Built a rule-score + ML pipeline to detect undrained saturation zones across Sand X using limited data (~300 lines of well thickness, PVT and historical production). Applied Gaussian Superposition to spread pressure-derived saturation data from individual wells across the full field, working around the data limitation that made direct ML training infeasible. Georeferenced well data by converting raw images into usable .TIF and .SHP spatial files.
EXPERD Consultant
Processed 100+ confidential applicant data daily during 12-hour work sessions. Identified data quality patterns (e.g. inconsistent uploads) to flag candidate reliability characteristics for the review team.
Commercial & Business Clients
Edited commercial and personal video projects for wedding, jewellery and small business clients.
Bandung Institute of Technology (ITB)
Thesis
Undrained Reservoir Zone Identification in Mature Waterflooded Fields Using a Physics-Constrained Rule Score and Machine Learning
Certification · 2024
Petroleum Engineering Department, Institut Teknologi Bandung
Campus leadership
Komisariat HMTM 'PATRA' ITB
Developed digital websites for organization members (Kompatra, Patra-Q, HMTM PATRA website) and shared PE educational insights.
Cirebon Festival ITB
Captured and edited grand opening videos for ITB Cirebon campus festival.
Cifest 2024 (Cirebon Festival ITB)
Led the team that captured photos and videos of the event, and designed the posters and vouchers.
Qurban Salman ITB 1445 H
Coordinated the mobilization for distributing beef and mutton on 17 June 2024.
Komisariat HMTM 'PATRA' ITB
Produced the trailer for the October 2024 graduation event.
Komisariat HMTM 'PATRA' ITB
Part of the creative media team of the Petroleum Engineering student association.
Toolbox
Reservoir simulation, machine learning and full-stack web. Tags show where a tool was used on the job.
How I work
The same six steps whether the job is a reservoir study or a web tool.
Data extraction, well thickness, PVT & historical production data
Sparse-graph shortest path & transmissibility matrix network
Georeferencing well data into spatial .TIF & .SHP files in QGIS
Interactive frontend dashboards, Next.js & Python backends
ROC-AUC & precision-recall validation against simulator states
Production deployment, report documentation & user training
Combining Petroleum Engineering domain physics with machine learning and clean web architecture to solve complex subsurface challenges.
Hire me
Small scopes done properly, rather than big scopes done eventually.
Physics-constrained machine learning pipelines for undrained hydrocarbon detection, production forecasting, and well log data processing.
Modern web portals, dashboards, and custom desktop/web tools built with Next.js, React, Python, and Firebase.
Practical proficiency in operating petroleum software such as PIPESIM, tNavigator, Petrel, PTA, and Prosper for engineering workflows.
Free tools
Free apps I built and actually use.
From the blog
Mostly about building small things and the decisions behind them.
Receipts
ITB
Petroleum Engineering, 2026
Grade A
Undrained Reservoir Zone Identification — Thesis
Volve & Sand X
Fields worked on