物探化探计算技术2025，Vol.47Issue(4)：526-535,10.DOI:10.12474/wthtjs.20240322-0001
基于三维球形时窗倾角扫描的体曲率属性在潜山裂缝的应用
Application of volumetric curvature attribute based on three-dimensional spherical time window dip angle scanning in buried hill fractures
摘要
Abstract
The development and distribution of fractures and faults affect the reservoir and accumulation conditions of buried hills.Curvature attribute is an important method in seismic geometric attributes.It can identify the bending and discontinuities of the formation and plays an important role in predicting the formation's properties,as well as in predicting fractures.Inclination scanning technology determines the accuracy of the curvature extraction effect.In order to obtain high-quality volume curvature attributes,this paper proposes a three-dimensional spherical time window for inclination estimation based on similarity scanning.This method takes the analysis point as the center of the sphere to generate a sphere around it.The time window within the sphere will participate in the inclination scanning calculation of the analysis point,and the spherical time window can move up and down.At the same time,by combining the adaptive search of the genetic algorithm with the ability to handle nonlinear problems,the genetic algorithm is integrated with least squares interpolation fitting to obtain more accurate inclination data,which significantly improves the efficiency and accuracy of the calculation.The actual work area data test demonstrates that,compared to the conventional multi-window dip angle scanning method,this method can identify and characterize cracks inside the buried hill in greater detail,thereby making curvature estimation more accurate,which is of great significance for the development of subsequent interpretation work.关键词
倾角扫描/体曲率属性/球形时窗扫描/潜山裂缝预测/遗传算法Key words
dip scanning/curvature property of body/spherical time window scanning/buried hill fracture prediction/genetic algorithm分类
天文与地球科学引用本文复制引用
官俊洁,周怀来,李悟,陶博丞..基于三维球形时窗倾角扫描的体曲率属性在潜山裂缝的应用[J].物探化探计算技术,2025,47(4):526-535,10.基金项目
四川省自然科学基金(2022NSFSC1150) （2022NSFSC1150）
