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Efficient and accurate interpretation of dense irregular 2-D seismic data is an ongoing problem in virtually every exploration area. Developing interpolation algorithms which would create pseudo 3-D volumes from sparse 2-D data could allow a geophysicist an efficient means of interpreting the broad geologic features in an area. An interpolation algorithm which uses the 3-D nature of the irregular 2-D data can be developed which is analogous to sinc function interpolation in 1-D. A Gaussian 3-D plane pass filter is demonstrated to produce reasonable interpolated results within the pass region of the filter. This particular technique has the built-in flexibility of allowing the geophysicist to choose a broad pass volume which essentially regrids existing data with very litt e interpolation or allows the choice of a narrow pass volume to interpolate those spatial frequencies which are not aliased by the irregular sampling of the input data.
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