一种基于深度学习的微地震事件强度评价方法及系统
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中石化申请基于深度学习的微地震事件强度评价方法及系统专利,可判别出误拾事件
Sou Hu Cai Jing· 2025-05-05 13:16
Core Insights - China Petroleum & Chemical Corporation (Sinopec) has applied for a patent related to a deep learning-based method for evaluating microseismic event intensity, indicating a focus on advanced technology in the oil and gas sector [1] Company Overview - China Petroleum & Chemical Corporation was established in 2000, located in Beijing, primarily engaged in the petroleum, coal, and other fuel processing industries, with a registered capital of approximately 12.17 billion RMB [2] - Sinopec has invested in 257 companies, participated in 5,000 bidding projects, holds 45 trademark registrations, and has 5,000 patents, along with 39 administrative licenses [2] - Sinopec Petroleum Exploration Technology Research Institute, founded in 2022 in Nanjing, focuses on extraction activities with a registered capital of approximately 133.61 million RMB [2] - The research institute has invested in 1 company, participated in 179 bidding projects, holds 524 patents, and has 13 administrative licenses [2] Patent Details - The patent application CN119916443A, filed on October 2023, outlines a method that includes steps such as establishing a forward model, constructing a training dataset, and training a microseismic event intensity evaluation network model [1] - The method aims to automatically extract features from multiple microseismic events using deep learning, enhancing the classification of microseismic event intensity and addressing false detection issues by simulating noise data [1]