Pattern recognition programs used in the oil and gas industry to identify nodes likely to contain giant oil or gas fields typically combine morphostructural zoning with computer pattern recognition systems. These systems analyze geological data to identify structural patterns that are indicative of large oil and gas reservoirs. The methodology was developed in 1985 and has been used to successfully predict the locations of giant oil and gas fields. The technology uses maps of morphostructural zoning to outline morphostructural nodes, which are intersections of faults, and applies a pattern recognition program to these maps to identify potential sites. This approach has been field-tested and confirmed, as evidenced by the successful prognosis of giant oil and gas fields in the Andes of South America. The pattern recognition program plays a crucial role in risk reduction for oil and gas exploration by pinpointing areas with a higher likelihood of containing significant reserves. For more detailed information, refer to the methodology described in the paper titled "Methodology for Prediction of the Locations of Giant Oil and Gas Reservoirs" available at onepetro.org.