A set of common midpoint surveys at selected locations distributed along the common-offset transect also were collected for comparison with the common offsets and were used to constrain one-dimensional (1-D) distributions of porosity with depth.
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The CRS stack multiparameter moveout equation in time midpoint half offset (t, x, h) domain describes a stacking surface rather than a trend in the conventional common midpoint (CMP) stack (Hertweck et al. 2007) (Fig. 2).
The MCS data were first processed following a conventional procedure that includes minimum phase conversion, predictive deconvolution, common midpoint (CMP) sorting, velocity analysis, normal moveout, stacking, and post-stack time migration (PoSTM).
Porosity values for the saturated Miami Limestone ranged between 25%and41%1% for common offset GPR surveys, and between 23% and 39% for common midpoint GPR surveys.
Standard data preparation and enhancement procedures including refraction statics correction, noise attenuation, deconvolution and common midpoint sorting (CMP) were carried out to improve data signal-to-noise ratio.
We extend the concept of the common midpoint cross-correlation method, used for phase velocity estimation, to the analysis of attenuation coefficients.
The method is similar to the common midpoint cross-correlation (CMPCC) method, which focuses on phase information between possible pairs of receivers on common midpoints (CMPs) (Hayashi and Suzuki 2004; Tsuji et al. 2012; Ikeda et al. 2013), but our proposed method relies on amplitude information.
The detailed reflection profile and the locations of the common midpoint (CMP) line considered in the present reflection analysis are shown in Fig. 3. Analysis has shown that reflectors are present just beneath the CMP line.
The velocity analysis of simultaneous-source data can also be implemented directly to obtain a precise velocity model in the common-midpoint domain (Gan et al. 2016b).
