地震观测系统分布均匀性智能评价算法研究

Research on Intelligent Evaluation Algorithm for Uniformity of Seismic Survey Distribution

在地震勘探中,震源点(SPS)的均匀分布对于获得高质量的地震数据至关重要。本文介绍了一种新的计算机智能评价算法,用于定量评估地震观测系统的分布均匀性。这种算法综合考虑了实际震源点布设偏差、子区震源点内部均匀性以及子区震源点重心偏差三个关键因素。此外,本研究还考虑了障碍物对震源点分布的影响,并提出了相应的评价方法。

In seismic exploration, the uniform distribution of source points (SPS) is crucial for acquiring high-quality seismic data. This paper introduces a new computer intelligence evaluation algorithm designed to quantitatively assess the uniformity of seismic observation system distributions. The algorithm takes into account three key factors: the actual deployment deviation of source points, the internal uniformity of source points within subregions, and the centroid deviation of source points in subregions. Additionally, this study considers the impact of obstacles on the distribution of source points and proposes corresponding assessment methods.