China Petrochemical. has filed a patent for a silica-alumina material with specific characteristics suitable for heavy oil hydrogenation catalysts. The material has a unique structure, pore volume, and low impurity content, making it ideal for catalytic applications. GlobalData’s report on China Petrochemical gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on China Petrochemical, AI assisted CAD was a key innovation area identified from patents. China Petrochemical's grant share as of January 2024 was 66%. Grant share is based on the ratio of number of grants to total number of patents.

Silica-alumina material for heavy oil hydrogenation catalyst carrier

Source: United States Patent and Trademark Office (USPTO). Credit: China Petrochemical Corp

The patent application (Publication Number: US20240033715A1) describes a silica-alumina material with specific characteristics, including a SiO2/Al2O3 molar ratio of 0.8 to 1.5, a lamellar structure with defined dimensions, and pore volume and surface area specifications. The material also has specific B acid content, Na2O content, and NMR absorption peaks. Additionally, the patent covers a method for producing the silica-alumina material, involving sequential steps with specific conditions and reagents, such as acidic aluminum and alkaline aluminum sources. The method includes hydrothermal treatment to obtain the final material, which can be used in catalytic applications.

Furthermore, the patent application includes claims related to the production method's specific parameters, such as the concentration of silicon and aluminum sources, pH levels, and addition of water-soluble carbonates. The method involves controlled conditions in each step, from mixing the sources to the hydrothermal treatment process. The resulting silica-alumina material can be used in catalytic applications, where it forms part of a catalytic material with an active metal component. The catalytic material is suitable for hydrogenation processes of various hydrocarbon-containing materials, with specific reaction conditions outlined in the patent application, including pressure, temperature, space velocity, and hydrogen-to-oil ratio.

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GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies representing the world’s largest industries. This analysis is combined with crucial details on strategic and investment priorities, innovation strategies, and CXO insights to provide comprehensive company profiles.