An efficient 3D depth model‐based, coherent noise suppression technique

Heinze, William; Sherwood, John; Tieman, Hans

doi:10.1190/1.1816526

Cited by 3 publications

(1 citation statement)

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“…This comparison of a 2D and 3D approach to the processing shows the benefits of 3D migration in terms of better deep reflector continuity and lower noise levels. Following on from this, a further demultiple process was applied to the gathers to minimize the head wave from the basalt and two iterations of a full 3D depth-based tomography velocity field updating were carried out prior to applying a full 3D prestack depth migration algorithm based on a proprietary Beam implementation (Heinze, Sherwood and Tieman 2001). We believe the improvements are due to the Beam migration, depth demultiple and grid tomography combinations.…”

Section: R E S U Lt Smentioning

confidence: 99%

Seeing below the basalt – offshore Faroes

Gallagher¹,

Dromgoole²

2007

Geophysical Prospecting

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Exploration in the basalt covered areas of the Faroes offshore has always suffered from poor seismic imaging below the basalt. Long offset 2D and 3D seismic data were acquired and a significant improvement in the seismic image below top basalt has been achieved. Deep towing of the source and receiver cables helped by extending the seismic bandwidth towards lower frequencies. Bubble‐tuned rather than conventional peak‐tuned source arrays gave little, if any, incremental benefit. The improvement in the imaging comes primarily from the approach to processing the data. High frequencies (dominantly noise) are filtered out of the data early in the processing to concentrate on the low frequency data. Careful multiple removal is important with several passes of demultiple being applied to the data using both Surface‐Related Multiple Elimination (SRME) and Radon techniques. Velocity analysis is performed as an iterative process taking into account the geological model. Reprocessing legacy 2D surveys, acquired with wide‐ranging parameters, using these processing techniques improved these datasets significantly, indicating that sub‐basalt imaging seems to be more sensitive to processing than to the choice of acquisition parameters.

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Section: R E S U Lt Smentioning

confidence: 99%