Abstract

Strong ocean current influences a marine seismic survey and forces the streamer off-course from the survey line. The sideway drift of the streamer results in that the reflection data are no longer distributed in common midpoint gathers along the survey line but become swath distribution on one side of the ship track. This effect is known as “streamer feathering” which degrades the profile image of the 2D processed seismic data. However, if we have long streamer or closely spaced parallel 2D seismic survey lines, we may turn this deleterious effect into a good opportunity to generate 3D seismic volumes with swath distributed reflection data. We present two case studies in which 2D seismic data were collected offshore eastern Taiwan where the strong Kuroshio Current heavily influenced the ship speed and caused large streamer feathering. The first case is a large-offset 2D seismic profiling data collected using a 6-km long streamer. We processed the swath part of the reflection data in 3D that not only avoids the inappropriate smearing effect in 2D data processing but also generates a 3D seismic volume to help the seismic interpretation. In the second case, we adjusted our 2D survey strategy when realizing that strong Kuroshio Current was causing significant streamer feathering, and collected a set of closely spaced parallel 2D seismic lines. This multi-swath dataset covers a broad area which enables us to generate a 3D seismic volume. Since our datasets are not real 3D seismic data, we have tailored our processing flows to deal with different data configurations and limitations of each dataset. Our results show that not only we have enhanced 2D seismic images of the originally-interested survey lines, but also provide information on 3D geometry of the geological features imaged. The benefits and limitations of utilizing the streamer feathering effect to generate 3D seismic volumes from 2D seismic profile data are reported. Overall, this approach is a considerable way to handle 2D seismic data with large streamer feathering for both avoiding unreliable 2D seismic images and obtaining information on 3D geometry of the geological features imaged.

Highlights

  • Most geological features are 3-dimensional in nature

  • In a typical 2D seismic data processing scheme, data traces are normally binned into common midpoint (CMP) gathers along a chosen straight line, generally the survey line, and the crossline offsets of the midpoints are often ignored during processing

  • As the actual reflection points collected by a large feathered streamer are distributed in a wide swath, we consider the dataset to be 3D in nature, and if we could process the dataset using 3D processing scheme and generate a 3D seismic volume following the actual reflection point distribution, we may turn the deleterious streamer feathering effect into a good opportunity for both understanding the 3D geometries of the geological features and avoiding the inappropriate 2D data binning

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Summary

Introduction

Most geological features are 3-dimensional in nature. For better understanding the subsurface geometries of the geological complex, 3D seismic survey is an effective way. In a typical 2D seismic data processing scheme, data traces are normally binned into common midpoint (CMP) gathers along a chosen straight line, generally the survey line, and the crossline offsets of the midpoints are often ignored during processing. As the actual reflection points collected by a large feathered streamer are distributed in a wide swath, we consider the dataset to be 3D in nature, and if we could process the dataset using 3D processing scheme and generate a 3D seismic volume following the actual reflection point distribution, we may turn the deleterious streamer feathering effect into a good opportunity for both understanding the 3D geometries of the geological features and avoiding the inappropriate 2D data binning

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