Super-virtual interferometry (SVI) is a technique in which cross-correlation between consecutive receiver responses is carried out to obtain the virtual head-wave arrivals, which are then convolved with the initially recorded traces to get the super-virtual trace. SVI can be used to enhance the refracted phases by stacking all the arrivals acquired using multiple shots at one position, leading to an improved SNR by a factor of √n, where ‘n’ is the number of sources and receivers to generate the head-waves. In this study, we have generated few synthetic common shot gathers (CSGs) using forward modelling over a three-layer velocity–depth model with an embedded spherical anomaly, a complex five-layer velocity–depth model and the Marmousi model. Certain amount of noise is added on these gathers and then SVI technique is applied on the gathers which has resulted in an improved SNR of refracted phases at the far offset. We have further tested this technique on a field dataset acquired from the Kumaon Himalayan region using a 450 kg thumper as an energy source and 111 active channel remote acquisition unites (RAUs) with 5 Hz geophones as sensors. The resulting SVI gathers show the refracted arrivals more clearly. Continuity in the phases is increased after stacking and iterative SVI.

超虚拟干涉法（SVI）是一种技术，其中在连续接收器响应之间进行互相关以获得虚拟头波到达，然后将其与初始记录的迹线进行卷积以获得超虚拟迹线。SVI可以使用通过层叠所有使用多个镜头在一个位置处获取的抵达地提升折射阶段，通过因子的√导致的改进的SNR Ñ，其中' Ñ是产生头波的源和接收器的数量。在这项研究中，我们通过对具有嵌入式球形异常的三层速度-深度模型，复杂的五层速度-深度模型和Marmousi模型进行正向建模，生成了很少的合成普通炮道集（CSG）。在这些道集上添加一定量的噪声，然后在道集上应用SVI技术，这导致了在远偏移处改善了折射相位的SNR。我们已经在从库马喜马拉雅地区采集的现场数据集上进一步测试了该技术，该数据集使用450公斤的重击器作为能源，并使用5 Hz地震检波器作为传感器的111个有源通道远程采集单元（RAU）。由此产生的SVI收集更清晰地显示了折射的到达。堆叠和迭代SVI后，各阶段的连续性增加。