Development of a scalable modelling platform for reservoir production analysis, combining a modern web interface with distributed processing for long-running analytical simulations.
The company was building a forward modelling platform designed to simulate reservoir production scenarios for oil and gas operators.
These modelling jobs could run for extended periods and required a system capable of managing long-running computational workloads while still providing a responsive web interface for users.
The platform also needed to support collaboration between web developers, data scientists building Python-based modelling algorithms, and domain specialists.
Initially engaged to work on the platform's frontend, I helped develop the user interface used to configure and launch modelling scenarios.
As the project evolved and the team grew, I expanded into full-stack development, contributing to backend architecture and the orchestration of modelling workloads.
Development was carried out through a mixture of remote collaboration and on-site work in Paris during key development phases and platform launches.
The resulting platform allowed users to run complex reservoir modelling simulations through an accessible web interface while heavy computational processing was handled asynchronously in the background.
This architecture supported long-running analytical workloads while maintaining a responsive user experience and enabling the platform to evolve alongside the company's modelling research.