Análisis de datos para la optimización de la dosificación química en procesos de tratamiento de agua en campos petroleros

This project proposes the analysis of operational data to support the optimization of chemical product dosage in oilfield water-treatment processes. The study considers variables such as basic sediment and water (BSW), pH, total hardness, total iron, flow rate, residence time, residual amine, and the amount of chemical product applied. The methodology includes collecting, organizing, cleaning, and performing exploratory analysis on historical records to identify trends, relationships, and behavioral patterns associated with treatment efficiency. Based on this analysis, the project seeks to establish technical criteria and dosage ranges aligned with actual operating conditions, avoiding insufficient or excessive chemical application. The main outcomes include the identification of critical process variables, the definition of a methodological route for analyzing historical data, and a proposal aimed at improving treated-water quality, promoting the efficient use of chemical products, and reducing operating costs.
The project integrates technical knowledge of water treatment with data-science tools and provides a foundation for future predictive models, dashboards, and decision-support systems in the petroleum industry.