Wedge Modeling is used to understand vertical (thin bed) resolution limited by seismic. Tuning makes two reflected signals appear as either one signal or even as no signal, this thickness therefore represents the minimum bed resolution that the wavelet can identify. You can run the modeling both, pre-stack or post-stack seismic domain. Changes in bed thickness are introduced into the model along with changes in acoustic properties determined through rock physics modeling. The method needs: 1- A well, with P-wave, S-wave and density logs. 2- A reservoir target in the well: top interval and base interval. 3- A wavelet, real from your seismic data, or statistical, if you do not have seismic. 4- A start and end thickness value, fix on the top, 5- for creating the wedge. The magnitude of the increase and how many amplitude maxima there are depend on the shape of the embedded wavelet, the P-wave and S-wave and density logs. The first objective: you need to know how is the tuning value of your seismic data. It is critical, e.g., for Reservoir Development, due that you as an Interpreter can track the top and base of the reservoir, e.g. pinchout or an angular unconformity but, there is some places where you do not separate top and base. So, as a Geologist, you could think that the reservoir thickness is “zero” outside this limit, but it is not the case.

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