Petroleo Brasileiro had five patents in artificial intelligence during Q1 2024. Petroleo Brasileiro SA has filed patents for methods utilizing artificial intelligence and machine learning to control industrial processes, monitor precipitation of inorganic salts in aqueous streams, optimize flow rate control on platforms using Fuzzy-PID logic and artificial neural networks, and optimize drainage mesh using Genetic Algorithm without proxies. These inventions aim to improve revenues, profits, and system performance in the petroleum industry. GlobalData’s report on Petroleo Brasileiro gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Petroleo Brasileiro had no grants in artificial intelligence as a theme in Q1 2024.
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 separation and treatment industrial processes using artificial intelligence and machine learning to enhance revenues and system performance. The method involves defining objectives and boundaries, evaluating steady and dynamic states, and conducting non-linear dynamic simulations of the plant. It utilizes neural networks and deep learning networks to create behavior models for each process, with a focus on optimizing production quantities and process variables.
The method includes steps such as identifying process models, defining objective functions, and obtaining boundary conditions from plant equipment manufacturers and technical information. Evaluation of steady state involves controlling variables and assessing productivity, while dynamic state evaluation focuses on stability, control loop performance, and genetic algorithms for maximizing production points. Non-linear dynamic simulations are performed to determine candidate setpoints for optimizing the objective function within process limits. Overall, the method aims to improve plant performance and profitability through advanced control strategies and simulation techniques driven by artificial intelligence and machine learning.
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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.
