Seismic velocity modeling is a crucial step in seismic processing that enables the use of
velocity information from both seismic and wells to map the depth and thickness of …

摘要在常规的地震数据处理工作流程中, 人工拾取地震速度谱中的叠加速度存在耗时长,
效率低的问题, 且容易受到人为经验的影响. 本文基于目标检测的方法, 应用改进后的FCOS …

目前叠加速度的获取主要是通过人工拾取速度谱, 存在着效率低, 耗时长且易受人为因素影响的
缺点. 本文提出了一种基于自适应阈值约束的无监督聚类智能速度拾取方法 …

In seismic interpretation, stacking velocity is mainly acquired by manual picking from velocity
spectra, which is time-consuming and highly susceptible to human experience. To improve …

In conventional seismic processing workflow, the stacking velocity is commonly picked up
manually. Due to the continuous increase of seismic data, especially three-dimensional …

在油气地震勘探中, 速度分析是关键的地震数据处理步骤. 但是在传统地震处理中,
人工速度分析效率低, 耗费时长且人为因素影响大. 随着对油气资源的需求日益增加 …

An accurate and trustworthy first break picking plays a key role in static correction
calculations, velocity analysis, and deconvolution. First break traveltimes picking accuracy …

The stacking velocity is often obtained manually. However, manually picking is inefficient
and is easily affected by subjective factors such as the priori information and the experience …

In this paper, we present a novel clustering approach that eliminates the need for predefined
cluster centres and cluster counts, addressing common limitations in traditional clustering …

The purpose of this study was to compare the accuracy performance of the K-Means and
DBScan algorithms in clustering product reviews. This comparison evaluated to determine …