The General Petroleum Company (GPC) announced that its technical cadres succeeded in creating several working models for using artificial intelligence (AI) to track the stratigraphic traps of brownfields that suffer from natural depletion due to cumulative production over the years.

This came in light of the directives of the Ministry of Petroleum and Mineral Resources (MoPMR) and the Egyptian General Petroleum Corporation (EGPC) to expand the use of modern technologies to meet the challenges of increasing production.

This was done through accurate analysis of the data with the help of the great technical capabilities of service providers and teaching artificial intelligence machines the characteristics of oil and gas reservoirs in terms of directions and their isolated locations to explore the locations of current clusters with the initial pressures of the reservoir before production.

The company’s Chairman Mohamed Abdel Mageed explained that the results were applied to three of the company’s brownfields in the Western Desert. The first well, SWS-55, was drilled and put into production in October 2025, with regular production of about 4 million cubic feet of gas per day (mmcf/d), with stable pressures and total production quantities exceeding 0.1 billion cubic feet of gas (bcf/d).

He added that the second well was recently drilled according to this model, GPY-25, and the well was tested at initial rates of 1,400 barrels of oil per day (bbl/d) and about 1 million cubic feet (mmcf) of associated gas with a natural flow. The well is currently being put into production, which confirms that the brownfields in Egypt still hold many secrets that are currently being discovered through cooperation and integration between modern expertise and technologies.