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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Improving crosshole radar velocity tomograms: A new approach to incorporating high-angle traveltime data
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Improving crosshole radar velocity tomograms: A new approach to incorporating high-angle traveltime data

机译:改善井间雷达速度断层图:合并大角度旅行时间数据的新方法

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To obtain the highest-resolution ray-based tomographic images from crosshole ground-penetrating radar (GPR) data, wide angular ray coverage of the region between the two boreholes is required. Unfortunately, at borehole spacings on the order of a few meters, high-angle traveltime data (i.e., traveltime data corresponding to transmitter-receiver angles greater than approximately 50 degrees from the horizontal) are notoriously difficult to incorporate into crosshole GPR inversions. This is because (1) low signal-to-noise ratios make the accurate picking of first-arrival times at high angles extremely difficult, and (2) Significant tomographic artifacts commonly appear when high-and low-angle ray data are inverted together. We address and overcome these two issues for a crosshole GPR data example collected at the Boise Hydrogeophysical Research Site (BHRS). To estimate first-arrival times on noisy, high-angle gathers, we develop a robust and automatic picking strategy based on crosscorrelations, where reference waveforms are determined from the data through the stacking of common-ray-angle gathers. To overcome incompatibility issues between high- and low-angle data, we modify the standard tomographic inversion strategy to estimate, in addition to subsurface velocities, parameters that describe a traveltime 'correction curve' as a function of angle. Application of our modified inversion strategy, to both synthetic data and the BHRS data set, shows that it allows the successful incorporation of all available traveltime data to obtain significantly improved subsurface velocity images.
机译:为了从井间穿透地面雷达(GPR)数据获得最高分辨率的基于射线的断层图像,需要对两个井眼之间的区域进行宽角度射线覆盖。不幸的是,众所周知,在井孔间距约为几米的情况下,很难将大角度的传播时间数据(即,对应于与水平方向成大于约50度的发射器-接收器角度的传播时间数据)合并到井孔GPR反演中。这是因为(1)低信噪比使在大角度准确捕捉初到时间变得极为困难,并且(2)当将高角度和低角度射线数据一起反转时,通常会出现大量的层析伪像。我们在博伊西水文地球物理研究站点(BHRS)上收集了一个井间GPR数据示例,解决了这两个问题。为了估算嘈杂的高角度道集的首次到达时间,我们开发了一种基于互相关的鲁棒且自动的拾取策略,其中参考波形是通过公共射线角度道集的堆叠从数据中确定的。为了克服高角度和低角度数据之间的不兼容问题,我们修改了标准的层析成像反演策略,以估计地下速度以外的参数,这些参数将行程时间“校正曲线”描述为角度的函数。将我们改进的反演策略应用于合成数据和BHRS数据集,表明它可以成功整合所有可用的行进时间数据,从而获得明显改善的地下速度图像。

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