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Abstract

Summary

Advancements in seismic data acquisition techniques and processing algorithms in the last decade have made it possible to establish quantitative links between surface seismic data and reservoir properties. In carbonate reservoirs the imaging and reservoir quality can be negatively impacted by the presence of strong interbedded multiples. This motivates us to select and validate a seismic pre-conditioning processing sequence by testing on a pilot dataset. Our tests suggest options for multiple generator identification, optimization of multiple model parameterization, prediction, and subtraction, optimal angle selection and event alignment prior to inversion. Application of these and other processes can have a significant contribution to improving seismic reservoir imaging quality, resulting in substantial improvement in inversion to reservoir properties.

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/content/papers/10.3997/2214-4609.201702455
2017-11-11
2024-03-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201702455
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