China Petrochemical had 46 patents in artificial intelligence 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 dominant seismic attributes and deep neural network models. The method involves selecting 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 artificial intelligence as a theme is 6% 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 prediction model, and ultimately predicting the reservoir parameters of the target stratum. The process involves analyzing seismic data and well logging data to select relevant seismic attributes, using a waveform classification network model, and training deep neural network models to optimize model parameters for accurate prediction.
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 using seismic and well logging data, fuse the models into a prediction model, and ultimately predict the reservoir parameters. Additionally, the patent covers a computer storage medium storing the executable program for implementing the method and a computer device with memory and a processor to execute the program for reservoir parameter prediction based on geological characteristics.
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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.
