Inverse modelling of nano-to macro-scale voidage within tight-oil shale

Peter Matthews; Katie Jones; Giuliano Laudone

Inverse modelling of nano-to macro-scale voidage within tight-oil shale

Peter Matthews^*
, Katie Jones
, Giuliano Laudone

^*Corresponding author for this work

School of Geography, Earth and Environmental Sciences

Research output: Contribution to conference › Poster › peer-review

Abstract

We present a major new advance in the ability to characterise the nano-voidage of intact, rather than crushed, black shale samples. The method is based on extending the range probed by mercury porosimetry from 4 nm down to 1 nm by use of an intelligent (Bayesian) inverse pore-level model. The resulting model allows estimates of the whole-sample permeability to gas and oil which are not dependent on crushed-sample particle sizes.

Original language	English
Publication status	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

Energy (miscellaneous)
Fluid Flow and Transfer Processes

Cite this

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title = "Inverse modelling of nano-to macro-scale voidage within tight-oil shale",

abstract = "We present a major new advance in the ability to characterise the nano-voidage of intact, rather than crushed, black shale samples. The method is based on extending the range probed by mercury porosimetry from 4 nm down to 1 nm by use of an intelligent (Bayesian) inverse pore-level model. The resulting model allows estimates of the whole-sample permeability to gas and oil which are not dependent on crushed-sample particle sizes.",

author = "Peter Matthews and Katie Jones and Giuliano Laudone",

year = "2019",

language = "English",

}

TY - CONF

T1 - Inverse modelling of nano-to macro-scale voidage within tight-oil shale

AU - Matthews, Peter

AU - Jones, Katie

AU - Laudone, Giuliano

PY - 2019

Y1 - 2019

N2 - We present a major new advance in the ability to characterise the nano-voidage of intact, rather than crushed, black shale samples. The method is based on extending the range probed by mercury porosimetry from 4 nm down to 1 nm by use of an intelligent (Bayesian) inverse pore-level model. The resulting model allows estimates of the whole-sample permeability to gas and oil which are not dependent on crushed-sample particle sizes.

AB - We present a major new advance in the ability to characterise the nano-voidage of intact, rather than crushed, black shale samples. The method is based on extending the range probed by mercury porosimetry from 4 nm down to 1 nm by use of an intelligent (Bayesian) inverse pore-level model. The resulting model allows estimates of the whole-sample permeability to gas and oil which are not dependent on crushed-sample particle sizes.

M3 - Poster

ER -

Inverse modelling of nano-to macro-scale voidage within tight-oil shale

Abstract

UN SDGs

ASJC Scopus subject areas

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Cite this