BI and AI Capabilities:

At the core of its business intelligence layer, PUM runs automated ETL processes on structured and semi-structured data, providing managerial and technical dashboards for production, drilling, maintenance, and corrosion management, as well as engineering calculations such as bottom-hole pressure, flow rates, and production decline analysis. On the AI side, the platform employs advanced machine-learning and deep-learning models to predict drilling problems, optimize rate of penetration, forecast well and field production, and detect anomalies in critical downhole equipment. These models are monitored through an MLOps pipeline, hardened against noisy/outlier data, and equipped with interpretability tools so that engineers can understand the logic behind the recommendations. The technical complexities—such as integrating heterogeneous data, the absence of off-the-shelf solutions, and extensive R&D requirements—place PUM among high-technology platforms aligned with national innovation criteria.

Achievements and Operational Impact:

Operational results show a 98% uptime for wells, faster identification of production and drilling issues, cost reduction, and increased production. In gas fields, the platform can forecast pressure decline and optimize gas production, enabling up to 20% reduction in industrial energy consumption. The technical knowledge developed has been institutionalized through documentation, internal knowledge bases, patents, and training of more than 100 personnel, ensuring repeatability of processes and reduced external dependency. Given the vast volume and complexity of upstream data and the high sensitivity of decision-making, PUM automates workflows and eliminates human error, ultimately enhancing safety, improving economic efficiency, and maximizing asset value.