Saudi Arabian Oil had 23 patents in artificial intelligence during Q1 2024. The patent filed by Saudi Arabian Oil Co in Q1 2024 describes a method for determining a thermal maturity model of a subterranean region by analyzing rock samples to calculate porosity values, volume fraction of organic matter, and thermal maturity index for each sample. The thermal maturity model is then determined based on these indices for the rock samples. GlobalData’s report on Saudi Arabian Oil gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Saudi Arabian Oil grant share with artificial intelligence as a theme is 17% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method to determine relative thermal maturity from porosities measured by quantitative imaging on uncleaned samples and gri porosity measured on crushed cleaned samples (Patent ID: US20240060915A1)
The patent filed by the Saudi Arabian Oil Co. discloses a method for determining a thermal maturity model of a subterranean region by obtaining rock samples, analyzing porosity values, and volume fraction of organic matter in each sample to calculate a thermal maturity index. This index is then used to establish the thermal maturity model for the region. The method involves computer processing to carry out these calculations efficiently and accurately.
Furthermore, the patent claims include details on how the porosity values are determined based on bulk density, grain density, and fluid density, as well as how the amount of organic matter is calculated using scanning electron microscope (SEM) images. The claims also outline the use of machine learning networks for image segmentation to determine porosity and organic matter content. Additionally, the patent describes the application of the thermal maturity model in planning wellbore trajectories and drilling operations, showcasing the practical implications of the method in the oil and gas industry.
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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.
