Improved quality for common focusing point data regularization
نویسندگان
چکیده
The data driven 3D true azimuth Common Focusing Point (CFP) data regularization technique is a multi-dimensional data regularization tool. It can be used as a general tool to merge multiple surveys pre-stack, including, for example, orthogonal Wide Azimuth (WAZ) surveys, different Narrow Azimuth (NAZ) surveys, or a combination of the two. Some technical details that address how to improve output data quality, such as intermediate computation grid size and aperture, are discussed.
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