多维数据裂缝检测技术探索及应用

Fracture detection based on multi-dimension data

基于常规叠后地震数据提取的曲率、相干等属性只是对较大的断裂进行刻画,对裂缝预测精度不高。本文通过分析Y工区叠前OVT域道集方位各向异性,应用多维解释技术对裂缝进行表征。理论分析及在柴达木盆地Y工区的实例效果均表明,基于叠前OVT域偏移处理道集的裂缝检测技术对裂缝预测精度高于常规叠后裂缝预测,裂缝预测结果结合构造岩性解释,对Y工区井位的勘探部署提供了有力的支撑。

Attributes such as curvature and coherence extracted from conventional poststack seismic data can be used only to describe lager faults,but not to predict fractures due to their low accuracy.In this article,we propose an idea for fracture detection based on multi-dimension data.Based on analysis of azimuthal anisotropy of prestack OVT domain gathers in the Area Y,Qaidam Basin,fractures are characterized by multi-dimensional interpretation techniques.Results analysis shows that fracture prediction can be achieved based on attributes of prestack OVT domain gathers,but cannot be released on those of conventional poststack data.The fracture prediction combined with structural and lithologic interpretations can provide a strong support for future exploration well deployment in the area.