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Estimating Permeability Using a Reservoir Quality Data-set Derived from Drill Cuttings: an Example from PakistanNormal access

Authors: S. Tiainen, C. Cubitt and W. Siedl
Event name: 80th EAGE Conference and Exhibition 2018
Session: Poster: Estimating Permeability A
Publication date: 11 June 2018
DOI: 10.3997/2214-4609.201801638
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 467.41Kb )
Price: € 20

The studied Cretaceous gas field is located in Pakistan. As part of a greater integrated proof-of-concept and reservoir quality prediction project, part of this project’s scope was to demonstrate the validity of optically-derived permeability estimates from drill cuttings. The integration and interpretation of core, routine core analysis, petrology and drill cuttings data-sets has identified a set of ‘rules’ to constrain permeability estimates going forward and these are as follows: ≥80% total quartz + coarse clay + grain coating clay + mean GS ≥ 0.3mm = ≥100 mD ≥ 80% total quartz + coarse and/or fine clay ≥ 0.3mm mean GS = 10-100 mD 70-80% total quartz + coarse and/or fine clay + < 0.3mm mean GS = 1-10 mD 70-80% total quartz + fine clay + argillaceous matrix + < 0.3mm mean GS = 0.5-1 mD <70% total quartz + fine clay + argillaceous matrix < 0.3 mm mean GS = ≤ 0.5 mD Presence of bioclasts = ≤ 1 mD Presence of detrital glauconite >8% = ≤ 1 mD Once constrained by either core-based testing and/or operator experience (microscopic analysis of core and cuttings (MACC) data provides a robust, rock-based data-set that can be used to accurately estimate permeability.

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