摘要
常规边缘检测技术可以用于断层、裂缝及砂体的边界识别,但难以满足对不同尺度的地质体边界响应特征进行描述的要求,为此,提出了一种集成多种技术的多尺度边缘检测技术,该技术将三参数小波变换与结构导向梯度计算算子相结合,以倾角体及方位角体作为约束条件可以实现对小断层及裂缝发育带精准识别。准噶尔盆地西缘车排子地区排691井区发育断块圈闭油气藏和石炭系风化壳裂缝型油气藏,地震资料品质较差,常规方法识别断层和预测裂缝发育效果不明显,该技术的应用结果表明,其可准确定位边缘以及多尺度特性基础上进行小断层识别和裂缝发育带预测。在大尺度、中尺度和小尺度边缘检测效果图上可以较好识别大断裂、小断层展布和裂缝发育带,展示了该项技术的有效性。
Conventional edge detection technology can recognize boundaries of faults,fractures and sand bodies,but it is difficult to meet the demands of description of the boundary response of the geological bodies in different scales.To this end,an integrated multi-scale edge detection technology is proposed to precisely identify small faults and fracture zones,which combines three-parameter wavelet transform with a structure-oriented gradient operator,with dip volume and azi⁃muth volume as constraints.The faulted-block reservoirs and Carboniferous weathering crust fractured reservoirs are domi⁃nant in Block Well P691 of Chepaizi area,western margin of Junggar Basin.However,limited by the poor seismic data,con⁃ventional methods cannot accurately identify faults and predict fracture development.Application results demonstrate that the designed technology can recognize small faults and predict fracture zones on the basis of accurate location of edges and multi-scale detection.Large and small faults and fracture zones can be clearly identified on the large-scale,mesoscale and small-scale edge detection maps,proving the effectiveness of this technique.
作者
马承杰
MA Chengjie(Information Management Center,Shengli Oilfield Company,SINOPEC,Dongying City,Shandong Province,257000,China)
出处
《油气地质与采收率》
CAS
CSCD
北大核心
2021年第2期85-90,共6页
Petroleum Geology and Recovery Efficiency
基金
国家科技重大专项“准噶尔盆地碎屑岩层系油气富集规律与勘探评价”(2016ZX05002-006)。
关键词
小波变换
结构导向梯度
多尺度
边缘检测
断层与裂缝
wavelet transform
structure-oriented gradient
multi-scale
edge detection
fault and fracture
