Codes for: Technical and Economic Assessment of Seven Nanoparticle Families for Enhanced Oil Recovery in the Azadegan Oil Field

This dataset contains the complete source code and input data required to reproduce the techno-economic analysis presented in the manuscript: "Technical and Economic Assessment of Seven Nanoparticle Families for Enhanced Oil Recovery in the Azadegan Oil Field" Submitted to Scientific Reports (Submission ID: 5671fb93-df97-4b03-a2a2-b59bb3aa639e) Contents: - input_parameters.csv : Base-case input parameters (nanoparticle properties, costs, reservoir data) - monte_carlo_simulation.py : Main Monte Carlo simulation (10,000 iterations) with DCF model, risk-adjusted discounting, and ERI - dcf_model.R : Independent R implementation for DCF cross-validation - environmental_risk_index.py : ERI calculator (Table 8, Section 3.5) - lab_to_field_scaling.py : Laboratory-to-field scaling procedure (Section 3.3) - transport_model.py : 1D advection-dispersion with retention (Equation 1, Section 2.8) - sensitivity_analysis.py : Tornado plots and sensitivity drivers (Figures 6 & 7) - generate_figures.py : Produces all manuscript figures (5, 6, 7, 8) - run_all.sh : Bash script to execute the entire analysis pipeline - README.md : Summary and instructions All code is written in Python 3.9+ and R 4.0+. Required Python libraries: pandas, numpy, scipy, matplotlib, seaborn. Required R libraries: tidyverse. The data are made publicly available under the CC BY 4.0 license to ensure reproducibility. For any questions, please contact the corresponding author at [e-mail].