Abstract: A method and apparatus for predicting a plurality of surface multiples for a plurality of target traces in a record of seismic data. In one embodiment, the method includes creating a file containing information regarding a plurality of pairs of recorded traces. Each pair of recorded traces is substantially closest to a desired shot-side trace and a desired receiver-side trace. The method further includes convolving the pairs of recorded traces to generate a plurality of convolutions and stacking the convolutions for each target trace.

Abstract: A method and apparatus for predicting a plurality of surface multiples for a plurality of traces in a record of seismic data. In one embodiment, the method includes providing a plurality of target traces at a nominal offset and a nominal azimuth; selecting a plurality of pairs of input traces, wherein the midpoints of the input traces in each pair are separated by half the nominal offset and the azimuth of a line connecting the midpoints of the input traces in each pair is equal to the nominal azimuth; convolving the selected pairs of input traces to generate a plurality of convolutions; and applying a three dimensional operator to the convolutions.

Abstract: Various technologies for a method for processing seismic data. In one implementation, the method includes cross-correlating seismic traces having midpoint locations, offsets and azimuths within a predetermined range but from different sequences; and selecting a peak on each cross-correlation. Each peak corresponds to a difference in travel times between two seismic traces that were cross-correlated. The method further includes converting the difference in travel times between the two seismic traces to a difference in water velocities between a pair of sequences associated with the two seismic traces at a spatial location.

Abstract: A method is for use in seismic data processing includes improving the continuity of the primary events in an original seismic dataset to create a continuous, seismic dataset; predicting at least the first order multiples of the original seismic dataset from the continuous seismic dataset; deterministically matching the predicted multiples and one of the original seismic dataset or the continuous seismic dataset; and taking the difference between the matched datasets. In other aspects, an apparatus may include a computer programmed to perform to such a method and by which the seismic data may be processed. The apparatus may also include a program storage medium encoded with instructions that, when executed by a computing device, will perform the method. The data upon which the method operates may be acquired in either a land or marine survey and may be two-dimensional, three-dimensional, or four-dimensional.

Abstract: A method is for use in seismic data processing includes improving the continuity of the primary events in an original seismic dataset to create a continuous, seismic dataset; predicting at least the first order multiples of the original seismic dataset from the continuous seismic dataset; deterministically matching the predicted multiples and one of the original seismic dataset or the continuous seismic dataset; and taking the difference between the matched datasets. In other aspects, an apparatus may include a computer programmed to perform to such a method and by which the seismic data may be processed. The apparatus may also include a program storage medium encoded with instructions that, when executed by a computing device, will perform the method. The data upon which the method operates may be acquired in either a land or marine survey and may be two-dimensional, three-dimensional, or four-dimensional.

Abstract: An apparatus and method for processing a record of seismic traces. The method includes receiving the record of seismic traces in a time-offset domain, transforming the record of seismic traces to a tau-p domain, applying a zero offset inverse Q algorithm to the record of seismic traces in the tau-p domain, and transforming the record of seismic traces back to the time-offset domain.

Abstract: Method and apparatus for predicting surface multiples, which includes (a) selecting a target subsurface line (SSL); (b) selecting an input SSL within an aperture of the target SSL; (c) selecting a point on a line twice the distance between the input SSL and the target SSL, the point corresponding to a potential downward reflection point of the surface multiples for a trace; (d) generating a potential surface multiple for the trace corresponding to the point; (e) repeating steps (c) through (d) for each point on the line to generate an inline of potential surface multiples corresponding to each point on the line; (f) repeating steps (b) through (e) for each input SSL within the aperture of the target SSL to generate potential surface multiples for the trace corresponding to each input SSL within the aperture; and (g) adding the potential surface multiples to generate a surface multiple for the trace.

Abstract: Method for computing one or more timing errors that occur in one or more multiples predicted by a multiple prediction algorithm. The method includes the steps of generating one or more actual three-dimensional primary travel times and one or more actual three-dimensional multiple travel times, applying the multiple prediction algorithm to the actual three-dimensional primary travel times to generate one or more travel times for the multiples predicted by the multiple prediction algorithm, and subtracting the actual three-dimensional multiple travel times from the travel times for the multiples predicted by the multiple prediction algorithm.

Abstract: A method and apparatus for predicting a plurality of surface multiples for a plurality of traces in a record of seismic data.

Abstract: A method for attenuating water layer multiples from a gather of seismic data traces. The method includes predicting a plurality of receiver side water layer multiples in the gather of seismic data traces using a convolutional operator derived from a water layer model, adaptively subtracting the receiver side water layer multiples from the gather of seismic data traces, predicting a plurality of source side water layer multiples using the convolutional operator derived from the water layer model, and adaptively subtracting the receiver side water layer multiples and the source side water layer multiples from the gather of seismic data traces to generate a plurality of primaries in the gather of seismic data traces.

Abstract: A method and computer system of processing seismic data is presented. A high-resolution Radon transform is defined for use on seismic data. The high-resolution Radon transform is regularized using a semblance measure of the seismic data. The seismic data is processed using the high-resolution Radon transform to enhance desirable features of the seismic data. A tangible representation of the processed seismic data is presented. The semblance measure of the seismic can include a semblance measure along a dimension of the seismic data.