000			02301nab a2200205 4500
005			20260520000314.0
008			260224s2011 xxu
100	1		_aMonzurul Alam, M. _952440
100	1		_aLykke Fabricius, Ida _952441
100	1		_aPrasad, Manika _952442
245	0	0	_aPermeability prediction in chalks
260			_cnov. 2011
270			_a16/04/2012 ; 16/04/2012
300			_a24 p. ; 1991 - 2014
520			_aResumen del autor: The velocity of elastic waves is the primary datum available for acquiring information about subsurface characteristics such as lithology and porosity. Cheap and quick (spatial coverage, ease of measurement) information of permeability can be achieved, if sonic velocity is used for permeability prediction, so we have investigated the use of velocity data to predict permeability. The compressional velocity from wireline logs and core plugs of the chalk reservoir in the South Arne field, North Sea, has been used for this study. We compared various methods of permeability prediction from velocities. The relationships between permeability and porosity from core data were first examined using Kozeny's equation. The data were analyzed for any correlations to the specific surface of the grain, Sg, and to the hydraulic property defined as the flow zone indicator (FZI). These two methods use two different approaches to enhance permeability prediction from Kozeny's equation. The FZI is based on a concept of a tortuous flow path in a granular bed. The Sg concept considers the pore space that is exposed to fluid flow and models permeability resulting from effective flow parallel to pressure drop. The porosity-permeability relationships were replaced by relationships between velocity of elastic waves and permeability using laboratory data, and the relationships were then applied to well-log data. We found that the permeability prediction in chalk and possibly other sediments with large surface areas could be improved significantly using the effective specific surface as the fluid-flow concept. The FZI unit is appropriate for highly permeable sedimentary rocks such as sandstones and limestones that have small surface areas.
581			_a11
773	0		_tAAPG Bulletin _g95
942			_cARTICULO
999			_c187065 _d187065