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Active noise injection computations for improved predictability in oil and gas reservoir characterization and microseismic event analysis
Active noise injection computations for improved predictability in oil and gas reservoir characterization and microseismic event analysis
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机译:主动噪声注入计算可提高油气藏表征和微地震事件分析的可预测性
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摘要
Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface microseismic event analysis and propagation of fracture. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full microseismic acquisition spectrum. In some examples, systems and techniques implement novel computational interactions between acquired microseismic wavefield attributes and a nonlinear system in software to amplify distortions in microseismic noise and exploits injection of synthetic noise, in software format, to fracture events.
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