Scientific software, research workflows, and open knowledge bases.
Open knowledge base dedicated to legacy well reuse for geothermal energy and carbon storage. Brings together standards, barrier materials, qualification frameworks, and research evidence.
Hybrid numerical framework for bottom-hole temperature correction across 46 legacy wells / 452 records in the Po Plain Basin, Italy. Reduced RMSE from 12.5 °C to 7.0 °C using Horner extrapolation and Monte Carlo uncertainty analysis.
Open-source Python tool for CO₂ storage & geothermal reuse screening of legacy oil and gas wells.
Data-driven geothermal reuse screening of legacy wells from BHT archives, with cross-validated spatial interpolation.
Deterministic, fully-traceable screening tool that ranks geological CO₂ storage candidates from sparse early-stage data using a four-component scoring framework.
Reproducible Python pipeline coupling a 100-year FEFLOW doublet simulation to an ORC power-cycle estimate and a CAPEX/LCOE techno-economic assessment.
Open knowledge base of literature notes and case studies on re-qualifying legacy wells for safe long-term carbon storage in depleted reservoirs.
Reusable Python utilities for subsurface thermal and reservoir analysis: data cleaning, Horner plots, uncertainty propagation, and reproducible reporting.
Minimal, dark, research-grade site to showcase work — built with attention to typography, hierarchy and restrained motion.
