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Volume 30, Issue 1
  • ISSN: 1354-0793
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Abstract

The evaluation of seal in conventional stratigraphic and structural traps requires the characterization of the capillary top seal to assess the capacity to hold a hydrocarbon column. Typically, this seal analysis addresses the static seal and does not consider the role that hydrodynamics (the flow of water into or out of the reservoir) may play in influencing the seal capacity. Although possessing extremely low permeability, shale seals are not perfect seals and water can seep through them under an imposed hydraulic gradient. Likewise, water can move vertically through trapped hydrocarbon columns even though relative permeabilities are very low. The impact of this flow on the capillary seal capacity can, in theory, be quite profound and should be considered in seal analysis workflows. This paper revisits the Manzocchi & Childs model for hydrodynamic effects on capillary seals and employs it directly in real-world trap analysis. The implementation of this model is described, and a workflow developed to incorporate the impact of hydrodynamics into column height prediction. The technique is applied to several known over-pressured fields from the Norwegian continental shelf to evaluate its applicability. Preliminary results from Monte Carlo modelling are promising and with some agreement between the observed column heights and the predicted hydrodynamic seal-controlled columns, dependant on the parameterization used. Further testing is ongoing, but the methodology should be considered in exploration prospect evaluation. The impact of hydrodynamics on seal capacities should not be discounted.

This article is part of the Fault and top seals 2022 collection available at: https://www.lyellcollection.org/topic/collections/fault-and-top-seals-2022

© 2023 The Author(s). Published by The Geological Society of London for GSL and EAGE. All rights reserved

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2023-12-19
2024-04-28

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Assessing the impact of hydrodynamics on capillary seal capacity: application of the Manzocchi & Childs model in trap analysis workflows
Petroleum Geoscience 30, petgeo2023-016 (2024); https://doi.org/10.1144/petgeo2023-016
/content/journals/10.1144/petgeo2023-016
/content/journals/10.1144/petgeo2023-016
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