通过谱隙比最小化优化时移采集设计
Optimized time-lapse acquisition design via spectral gap ratio minimization
AI总结：
针对时移地震采集成本高的问题，提出基于图论和谱隙比最小化的算法，自动设计稀疏非重复采集几何，以利于波场恢复。
摘要：
现代油藏管理和地质碳封存监测日益需要昂贵的时间推移地震数据采集。本文展示了如何利用图论技术优化低成本稀疏四维地震的采集几何。基于中点-偏移距域连通性论证，所提算法自动生成有利于波场恢复的稀疏非重复时移采集几何。
英文摘要：
Modern-day reservoir management and monitoring of geological carbon storage increasingly call for costly time-lapse seismic data collection. In this letter, we show how techniques from graph theory can be used to optimize acquisition geometries for low-cost sparse 4D seismic. Based on midpoint-offset domain connectivity arguments, the proposed algorithm automatically produces sparse non-replicated time-lapse acquisition geometries that favor wavefield recovery.
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