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A seismic model for generating synthetic seismograms using a contextvision GOP300 image processor

机译:使用contextvision GOP300图像处理器生成合成地震图的地震模型

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Ferranti ORE Ltd. won financial support from the Offshore Energy Technology Board for a research and development project on sub-bottom image and record enhancement. The project sought to exploit advanced image processing techniques to enhance the quality of seismic records to facilitate human interpretation, to undertake direct quantitative measurement of sedimentary properties using statistical and other information contained in the calibrated seismic return, and to implement the developed techniques in a commercially viable form. This paper describes a part of this project carried out by research workers at Heriot-Watt University and British Geological Survey. In particular it discussed the derivation of a synthetic seismic model which could be used to evaluate the suitability of image processing techniques and as an aid in the development and validation of processing software for use on actual field data.
机译:Ferranti ORE Ltd.获得了离岸能源技术委员会的财政支持,用于一个有关底层图像和记录增强的研发项目。该项目寻求利用先进的图像处理技术来提高地震记录的质量,以利于人类解释,利用校准后的地震回波中包含的统计信息和其他信息对沉积物进行直接定量测量,并在商业上实施开发的技术。可行的形式。本文介绍了赫瑞瓦特大学和英国地质调查局研究人员实施的该项目的一部分。特别是,它讨论了合成地震模型的推导,该模型可用于评估图像处理技术的适用性,并有助于开发和验证用于实际现场数据的处理软件。

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