The center was inaugurated with the presence of Hossein Afshinh, vice president for science, technology, and knowledge-based economy; Omid Shakeri, deputy minister of oil for research and technology; Majid Qassemi, CEO of Bank Pasargad; Alireza Sadeqabadi, CEO of Pasargad Energy Development Company; and other oil industry officials.

The WRFM center, a subsidiary of the Pasargad Energy Group, is a managerial and technological structure in the upstream oil and gas sector.

It uses various tools to oversee, transfer, analyze, and process data for the real-time and simultaneous management of operations related to wells, reservoirs, and surface facilities.

The center leverages advanced technologies such as sensors, data management systems, artificial intelligence, and real-time data analytics to provide comprehensive information on well conditions, reservoir flow, and facility performance.

The project's execution and infrastructure development began in February 2024, and it is now the first active center in Iran's upstream oil and gas sector.

The first phase of the center, including hardware and software infrastructure, has cost $10 million, with an additional $5 million required for further investments in smartening systems for production engineering, drilling operations, well management, maintenance, and safety.

This next phase is expected to be completed in about 12 months with support from the Vice Presidency for Science, Technology, and Knowledge-based Economy, National Iranian Oil Company (NIOC), and Pasargad Group, marking a key milestone in the digital transformation of upstream oil field management.

Key achievements in the first phase include the real-time collection, storage, and analysis of data, providing access to up-to-date information and historical records.

The system enables integrated display, data trend monitoring, and issuing necessary alerts. It also facilitates quick decision-making in development and production operations, reducing operational risks, ensuring performance indicators are met, providing access to company assets from any location, and optimizing asset value.

A significant outcome of phase one was the prevention of a daily oil production decline of 8,000 barrels, resulting in a cumulative production increase of 1.4 million barrels. The value created for the country, at $60 per barrel, is estimated at nearly $100 million.

The second phase will focus on enhancing the system's intelligence by incorporating machine learning, deep learning, artificial intelligence models, and large language models (LLMs), marking a new era in the development of the country's upstream oil and gas sector.

Key objectives for the second phase include optimizing production and ensuring flow through intelligent monitoring of downhole pumps, monitoring asphaltene deposition, corrosion detection in pipelines, completing real-time hardware infrastructure, smartening maintenance operations, and enhancing wellbore operations, safety, drilling activities, and horizontal well guidance.