Wedoany.com Report on Mar 17th, Artificial intelligence technology is gradually being applied in the oil and gas industry to enhance operational efficiency and safety. For instance, SynMax's BasinIQ system can rapidly analyze data to assess the risk of fracture interference. The company's Technical Director, Rahul Verma, noted: "Based on these images, we are predicting what will happen in the energy markets in the coming months, so energy traders can speculate based on this information." The system integrates satellite imagery with field data, processing millions of data points in minutes, whereas traditional methods would take weeks.
A case study of the BasinIQ system showed that out of 4,058 wells in the Permian Basin of New Mexico, 441 were at risk of fracture interference. Verma emphasized: "You always need experts involved, but AI can accelerate their work. Instead of looking at five data streams, they can monitor about 100." This helps operators take timely action and optimize production decisions.
Meanwhile, Percepto's "Drone-in-a-Box" system is used by Chevron to reduce the mileage required for on-site inspections. Udi Zohar, Chief Product Officer at Percepto, stated: "These (AI systems in drones) are continuously trained to understand whether emissions are within tolerance. For example, is the flare combustion efficiency at 98%?" The system can detect anomalies such as leaks, providing real-time data and replacing some manual inspections.
In Chevron's operations in Midland, drone inspections can reduce millions of miles of travel annually, improving safety. Katherine Snyder, Digital Operations Advisor, said: "For us, this not only means doing this at a larger scale, with more activities and more personnel, but also pursuing cash profit." Furthermore, Chevron's APOLO system uses artificial intelligence to analyze subsurface variables, improving the accuracy of drilling location predictions.
These AI applications demonstrate that technology is helping oil and gas companies optimize operations, improving efficiency and safety through data-driven decision-making. From risk assessment to automated inspections, the integration of AI in the oil and gas sector is gradually deepening, supporting industry innovation.
