断层自动解释技术是近几年兴起的新技术之一.现今在断层自动识别和解释过程中主要用到相干、方差等地震属性体,这些属性体通常会在断层位置处表现为极大值或极小值.各类属性体识别断层的能力不同,所以属性体的选择对于断层识别的准确性至关重要.本文在信噪比定量计算的基础上,提出一种新的地震属性体—信噪比差异体,同时将信噪比差异体应用于断层自动追踪.通过将其与方差体相比较,结果显示信噪比差异体可以更加精细地反映岩体破碎带,并在断层自动追踪的过程中,得到更加清晰的断层形态. Fault automatic interpretation technology is one of the new technologies emerging in recent years.Nowadays, seismic attributes such as coherence and variance are mainly used in the automatic fault identification and interpretation process, and these attributes usually show the maximum value at the fault location or Minimum.All kinds of attribute bodies have different ability to recognize faults, so the choice of attribute bodies is very important for the accuracy of fault recognition.On the basis of quantitative calculation of signal-to-noise ratio, a new seismic attribute body Noise ratio difference body, and the signal to noise ratio difference body is applied to the fault automatic tracking.Through comparison with the variance body, the results show that the signal to noise ratio difference body can more finely reflect the rock mass fracture zone, and automatically track the fault The process, get a more clear fault shape.