China Petrochemical had 15 patents in big data during Q4 2023. The patent filed by China Petrochemical Corp in Q4 2023 relates to a method for predicting reservoir parameters based on geological characteristics using seismic attributes and deep neural network models. The method involves selecting dominant seismic attributes, classifying seismic waveforms, constructing neural network models based on geological characteristics, and predicting reservoir parameters for the target stratum. GlobalData’s report on China Petrochemical gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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China Petrochemical grant share with big data as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Reservoir parameter prediction method and apparatus based on geological characteristic constraint, and storage medium (Patent ID: US20230314649A1)

The patent filed by China Petrochemical Corp. describes a method, apparatus, and computer program for predicting reservoir parameters based on geological characteristics. The method involves selecting dominant seismic attributes, classifying seismic waveforms, constructing deep neural network models, fusing the models into a spatially varying neural network, and predicting the reservoir parameters. The process includes analyzing seismic data and well logging data to select relevant seismic attributes, training deep neural network models, and predicting spatial three-dimensional elastic parameters of the target stratum.

The apparatus described in the patent includes modules for attribute screening, waveform classification, model construction, model training, model fusion, and parameter prediction. These modules work together to analyze seismic attributes, classify waveforms, construct neural network models, train the models, fuse them into a spatial variation neural network, and predict reservoir parameters. The computer storage medium and computer device are configured to execute the reservoir parameter prediction method based on geological characteristic constraints outlined in the patent, providing a comprehensive solution for predicting reservoir parameters using advanced technology and data analysis techniques.

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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.