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Abstract

Intergranular permeability has to be quantified meaningfully if integrated studies of petroleum reservoirs are to attain maximum value. Yet, despite considerable advances in data acquisition technology for geoscience and geoengineering applications, the permeability of reservoirs that show predominantly intergranular flow is often incorrectly quantified and misused. This state of affairs has caused reservoir flow to be misrepresented with consequential distortions of projected reservoir performance. This paper redresses this unsatisfactory state of affairs by outlining technical protocols for achieving the following objectives. • Defining parametric terminology unambiguously. • Matching the permeability parameter(s) to the intended application. • Delivering permeability data that are representative of the reservoir system. • Partitioning data to achieve better defined algorithms for permeability prediction. • Honouring scale of measurement in the application of data and relational algorithms. • Reconciling static and dynamic data for field application. These six protocols are captured in a workflow for improved permeability prediction in cored reservoirs that show predominantly intergranular flow. Adoption of the resulting workflow has demonstrably improved the synthesis of static modeling data as a foundation for initialization of the reservoir simulator. In particular, the greater role of effective permeability has resulted in the better characterization of reservoir hydraulics.

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/content/papers/10.3997/2214-4609-pdb.340.O6
2013-03-18
2024-03-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.340.O6
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