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Finite-frequency travel time tomography is a newly developing method. The main procedure in this new method is to compute the traveltime sensitive kernel. The travel time of the same scatterer needs to be used for computing the traveltime sensitive kernel many times. It is a time-consuming task. It is easy and fast to get the travel time from analytic equations in a simple model such as a homogenous...
How to extract optimal composite attributes from a variety of conventional seismic attributes to detect reservoir features is a reservoir predication key, which is usually solved by reducing dimensionality. Principle component analysis (PCA) is the most widely-used linear dimensionality reduction method at present. However, the relationships between seismic attributes and reservoir features are non-linear,...
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