One of the main challenges in seismic monitoring is the repeatability of the experiment conditions. Among other reasons changes in surface topography over time may cause strong non-repeatability in acquired seismic data especially in desert environment where the sand dunes can move between surveys. In this paper we present a numerical study of the effects of free-surface variation, defined as homogeneous Gaussian random field, on the seismic data. We show that for homogeneous and 'simple' models repeatability metrics (such as NRMS and predictability) using the early arrivals as measured by buried receivers depend mainly on the perturbation, but not on the smooth trend of the free-surface topography. For models with complex near-surface velocity NRMS for the thin sand area (<5 m) is almost twice as high as in the thick sand area (>10 m). Moreover, we demonstrate that significant nonrepeatability (NRMS up to 70%) can be caused by just surface elevation changes.
|Number of pages||5|
|Journal||SEG Technical Program Expanded Abstracts|
|Publication status||Published - 2015|
|Event||SEG New Orleans Annual Meeting, SEG 2015 - New Orleans, United States|
Duration: 18 Oct 2011 → 23 Oct 2011