1887

Abstract

Summary

Deep-water clastic systems and associated turbidite reservoirs are often characterized by very complex sand distributions with large variability in sand-shale ratio and net-to-gross. In this study, a rock physics new modelling approach is presented that combines modeling of compactional and depositional trends. The method is applied to a deep-water turbidite system in the North Sea where burial depth and reservoir heterogeneity/shaliness vary significantly. This approach can be used to create Rock Physics Templates for these types of reservoirs, and to generate augmented training data for machine learning classification of seismic AVO data in these types of reservoir rocks.

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/content/papers/10.3997/2214-4609.202011931
2021-10-18
2024-04-25
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