Petroleo Brasileiro had seven patents in future of work during Q1 2024. The patents filed by Petroleo Brasileiro SA in Q1 2024 focus on innovative methods and systems for controlling industrial processes in the oil industry. These inventions utilize artificial intelligence, machine learning, and advanced monitoring techniques to improve plant performance, optimize revenue and profits, and enhance the efficiency of oil separation and treatment processes. The systems described in the patents enable real-time monitoring of emulsion properties, such as drop size distribution and water content, under high pressure and temperature conditions, without the need for disturbing the system. Additionally, a system for controlling flow rates on platforms using Fuzzy-PID logic and artificial neural network models is also described, providing a more efficient and accurate method for managing gas and oil production. GlobalData’s report on Petroleo Brasileiro gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Discover B2B Marketing That Performs
Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms.
Petroleo Brasileiro grant share with future of work as a theme is 28% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method for controlling a plant of separation and treatment industrial processes without chemical reaction (Patent ID: US20240077860A1)
The patent filed by Petroleo Brasileiro SA describes a method for controlling industrial separation and treatment processes using artificial intelligence and machine learning to enhance revenues and system performance. The method involves defining objectives and boundaries of the plant, evaluating steady and dynamic states, and conducting non-linear dynamic simulations. The technique utilizes neural networks and deep learning networks to model process behaviors, with a focus on optimizing production quantities and plant characteristics.
The method outlined in the patent involves defining objective functions, delimiting plants, and utilizing neural networks for process modeling. Boundary conditions are determined based on plant characteristics and technical information from similar plants. Evaluation of steady and dynamic states involves controlling variables, assessing productivity, and implementing control loops. Non-linear dynamic simulations are performed to identify candidate setpoints for maximizing production without exceeding process limits. Overall, the method aims to improve plant performance and profitability through advanced control strategies and simulation techniques.
To know more about GlobalData’s detailed insights on Petroleo Brasileiro, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
