The offshore Oil & Gas industry has changed significantly in recent years, and companies are innovating to meet challenges in an increasingly digital economic landscape. From automation to Artificial Intelligence (AI) and new technologies, the offshore industry is overcoming challenges and advancing in Oil & Gas exploration in the country. Companies such as Toyo Setal/EBR have been seeking digital solutions to streamline operations and increase efficiency in exploration.
According to Rodrigo Sasso, Digital Transformation Manager at ToyoSetal/EBR, technology can help Oil & Gas companies explore, manage, and enhance data, as well as enable remote monitoring and predictive maintenance, allowing offshore operations to reduce costs.
“In the Oil & Gas ecosystem, the focus is on turning BITES into barrels of oil. In other words, any solution that minimizes a potential shutdown will bring exponential gains,” he explains. According to the executive, companies are investing millions of dollars in AI and Machine Learning in an attempt to anticipate and prevent setbacks in exploration operations.
Preventive measures
One of the advantages of technology is the ability for companies to use digital visualization to access real-time data and information about operations, respond to changes as they arise, and take preventive measures to solve problems before they occur.
In its constant pursuit of innovation, Toyo Setal/EBR has acquired a Laser Scanning solution to speed up proposal data collection and verify its deliverables (As-built). “We have gained greater accuracy in the data collected and have become even more competitive.” Sasso explains that this information can be used to help identify potential exploration areas by increasing the accessibility and usability of existing data.
Application of artificial intelligence
Oil & Gas companies use Artificial Intelligence (AI) together with existing digital infrastructures to boost the efficiency and productivity of exploration operations. The Owners (Petrobras, Chevron, Equinor, Exxon, among others) invest in cloud-based geoscience platforms using AI. These platforms provide unique knowledge graphs to improve seismic studies and, in turn, facilitate employees’ work with more accurate data.