A workflow allowing multiple-point statistics realizations to reveal where we lack information

M. L. Gulbrandsen; T. M. Hansen

A workflow allowing multiple-point statistics realizations to reveal where we lack information

Research output: Contribution to conference › Paper at conference › peer-review

Abstract

In recent years, the importance of representing the uncertainty of any earth model has met more understanding. One way of doing this is by generating a series of realizations of a statistical representation of the earth model instead of just one, in some way, 'optimal' model. Modelling the subsurface in a probabilistic way like this, allow for any kind of statistical questions to be answered.

Original language	English
Publication status	Published - 2019
Event	25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019 - The Hague, Netherlands Duration: 8 Sept 2019 → 12 Sept 2019

Conference

Conference	25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019
Country/Territory	Netherlands
City	The Hague
Period	8/09/19 → 12/09/19

Programme Area

Programme Area 2: Water Resources

Cite this

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title = "A workflow allowing multiple-point statistics realizations to reveal where we lack information",

abstract = "In recent years, the importance of representing the uncertainty of any earth model has met more understanding. One way of doing this is by generating a series of realizations of a statistical representation of the earth model instead of just one, in some way, 'optimal' model. Modelling the subsurface in a probabilistic way like this, allow for any kind of statistical questions to be answered.",

author = "Gulbrandsen, \{M. L.\} and Hansen, \{T. M.\}",

note = "Publisher Copyright: {\textcopyright} 2019 25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019. All rights reserved.; 25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019 ; Conference date: 08-09-2019 Through 12-09-2019",

year = "2019",

language = "English",

}

A workflow allowing multiple-point statistics realizations to reveal where we lack information. / Gulbrandsen, M. L.; Hansen, T. M.
2019. Paper presented at 25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019, The Hague, Netherlands.

Research output: Contribution to conference › Paper at conference › peer-review

TY - CONF

T1 - A workflow allowing multiple-point statistics realizations to reveal where we lack information

AU - Gulbrandsen, M. L.

AU - Hansen, T. M.

PY - 2019

Y1 - 2019

N2 - In recent years, the importance of representing the uncertainty of any earth model has met more understanding. One way of doing this is by generating a series of realizations of a statistical representation of the earth model instead of just one, in some way, 'optimal' model. Modelling the subsurface in a probabilistic way like this, allow for any kind of statistical questions to be answered.

AB - In recent years, the importance of representing the uncertainty of any earth model has met more understanding. One way of doing this is by generating a series of realizations of a statistical representation of the earth model instead of just one, in some way, 'optimal' model. Modelling the subsurface in a probabilistic way like this, allow for any kind of statistical questions to be answered.

UR - https://www.scopus.com/pages/publications/85088223683

M3 - Paper at conference

AN - SCOPUS:85088223683

T2 - 25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019

Y2 - 8 September 2019 through 12 September 2019

ER -

A workflow allowing multiple-point statistics realizations to reveal where we lack information

Abstract

Conference

Programme Area

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Cite this