石油物探2025，Vol.64Issue(2)：368-378,11.DOI:10.12431/issn.1000-1441.2023.0255
基于局部线性嵌入的属性降维技术及应用研究
A technique of LLE-based attribute dimensionality reduction and its application
摘要
Abstract
Offset and azimuth attributes have obvious advantages in detecting complex geological anomalies such as faults and channels.To improve information mining and result presentation,we carry out the study of Locally Linear Embedding(LLE)-based dimensionality reduction and technical process for prestack seismic attributes based on the fundamentals and technical features of the classic non-linear dimensionality reduction algorithm,LLE.Using the LLE algorithm,prestack seismic attributes in a high-dimension space extracted from partial stacks will be mapped into a dimension-reduction attribute volume in 3D space.As per a case study in Bakken field,the LLE non-linear technique is superior to Principal Component Analysis(PCA),a linear algorithm,in dimensionality reduction and feature preservation.Another practical application shows that the LLE technique can realize dimensionality reduction and fusion of prestack seismic attributes for accurate identification and characterization of geological anomalies.关键词
叠前地震属性/降维算法/局部线性嵌入(LLE)/方位属性/偏移距属性/复杂地质异常体识别Key words
pre-stack seismic attribute/dimensionality reduction/LLE/azimuth attributes/offset attributes/identification of geological anomalies分类
地质学引用本文复制引用
梁志强..基于局部线性嵌入的属性降维技术及应用研究[J].石油物探,2025,64(2):368-378,11.基金项目
国家自然科学基金企业联合基金项目"高精度地震导向钻井关键技术及软件"(U23B6010)资助. This research is financially supported by the National Natural Science Foundation of China(Grant No.U23B6010). （U23B6010）
