Baker Hughes had nine patents in digitalization during Q1 2024. Baker Hughes Co filed patents in Q1 2024 for a method to evaluate greenhouse gas emissions for fluids used in hydrocarbon exploration, involving performing emissions lifecycle analysis and modifying operations based on the emissions value. Another patent involves receiving datasets with attributes related to an industrial asset, assigning priority values to attribute values, generating a new dataset with selected attribute values, and setting the attribute value based on the priorities. GlobalData’s report on Baker Hughes gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Baker Hughes grant share with digitalization as a theme is 22% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Order of trust consolidation (Patent ID: US20240078242A1)
The patent filed by Baker Hughes Co. describes a method and system for receiving data related to an industrial asset, assigning priority values to attribute values, generating a dataset with selected attribute values, and mapping attributes from different datasets. The method involves selecting an attribute value based on priority values and setting the attribute value in the generated dataset. The system includes a processor and computer-readable storage medium to perform these functions, mapping attributes, and determining priority values based on the application generating the dataset.
The patent also covers the generation of datasets by different applications within a monitoring system, where priority values are determined based on the application. The method and system aim to streamline data processing for industrial assets by selecting attribute values between different datasets and mapping them to a unified dataset. Additionally, the patent addresses scenarios where attribute values differ between datasets and ensures the proper handling of attribute values based on priority values assigned. Overall, the invention aims to improve data management and processing efficiency for industrial assets through a systematic approach to attribute value selection and dataset generation.
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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.
