.png){kind=icon}
返回
Prestack seismic data enhancement with partial common-reflection-surface (CRS) stack
.png){kind=icon}
PRE
AI
DOI：10.1190/1.3106182.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We developed a new partial common-reflection-surface (CRS) stacking method to enhance the quality of sparse low-fold seismic data. For this purpose, we use kinematic wave-field attributes computed during the automatic CRS stack. We apply a multiparameter CRS traveltime formula to compute partial stacked CRS supergathers. Our algorithm allows us to generate NMO-uncorrected gathers without the application of inverse NMO/DMO. Gathers obtained by this approach are regularized and have better signal-to-noise ratio compared with original common-midpoint gathers. Instead of the original data, these improved prestack data can be used in many conventional processing steps, e. g., velocity analysis or prestack depth migration, providing enhanced images and better quality control. We verified the method on 2D synthetic data and applied it to low-fold land data from northern Germany. The synthetic examples show the robustness of the partial CRS stack in the presence of noise. Sparse land data became regularized, and the signal-to-noise ratio of the seismograms increased as a result of the partial CRS stack. Prestack depth migration of the generated partially stacked CRS supergathers produced significantly improved common-image gathers as well as depth-migrated sections.
Keyword:
ATTRIBUTES
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.2
论文数:
8.4K
被引数:
3.3W
机构
引用论文
.png){kind=icon}
分享收藏Recurrent solitary fibrous tumor of the pleura with malignant transformation: a case report胸膜复发性孤立性纤维瘤伴恶性转化：病例报告
OAAI
OAAI分享收藏Tissue Spectroscopy and Optical Clearing of Colorectal Mucosa in the Pursuit of New Cancer Diagnostic Approaches在寻求新的癌症诊断方法中，组织光谱和大肠粘膜的光学清除OAAI
OAAI分享收藏Synthesis of Nano ZnO: A Catalyst for N-formylation of Aromatic Amines and Biodiesel Application
PREAI
分享收藏A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation一种用于2D和3D细胞核分割的粗到精数据生成方法
PREAI
分享收藏
查看更多内容