Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics. / He, Xiulan; Sonnenborg, Torben; Jørgensen, Flemming; Jensen, Karsten Høgh.

In: Hydrogeology Journal, Vol. 25, No. 2, 2017, p. 359-370.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

He, X, Sonnenborg, T, Jørgensen, F & Jensen, KH 2017, 'Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics', Hydrogeology Journal, vol. 25, no. 2, pp. 359-370. https://doi.org/10.1007/s10040-016-1486-8

APA

He, X., Sonnenborg, T., Jørgensen, F., & Jensen, K. H. (2017). Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics. Hydrogeology Journal, 25(2), 359-370. https://doi.org/10.1007/s10040-016-1486-8

Vancouver

He X, Sonnenborg T, Jørgensen F, Jensen KH. Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics. Hydrogeology Journal. 2017;25(2):359-370. https://doi.org/10.1007/s10040-016-1486-8

Author

He, Xiulan ; Sonnenborg, Torben ; Jørgensen, Flemming ; Jensen, Karsten Høgh. / Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics. In: Hydrogeology Journal. 2017 ; Vol. 25, No. 2. pp. 359-370.

Bibtex

@article{811b6f1d73534a8f9268aa1920e70228,
title = "Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics",
abstract = "Stationarity has traditionally been a requirement of geostatistical simulations. A common way to deal with non-stationarity is to divide the system into stationary sub-regions and subsequently merge the realizations for each region. Recently, the so-called partition approach that has the flexibility to model non-stationary systems directly was developed for multiple-point statistics simulation (MPS). The objective of this study is to apply the MPS partition method with conventional borehole logs and high-resolution airborne electromagnetic (AEM) data, for simulation of a real-world non-stationary geological system characterized by a network of connected buried valleys that incise deeply into layered Miocene sediments (case study in Denmark). The results show that, based on fragmented information of the formation boundaries, the MPS partition method is able to simulate a non-stationary system including valley structures embedded in a layered Miocene sequence in a single run. Besides, statistical information retrieved from the AEM data improved the simulation of the geology significantly, especially for the deep-seated buried valley sediments where borehole information is sparse.",
keywords = "Buried valley, Denmark, Geostatistics, Multiple-point statistics, Non-stationarity",
author = "Xiulan He and Torben Sonnenborg and Flemming J{\o}rgensen and Jensen, {Karsten H{\o}gh}",
year = "2017",
doi = "10.1007/s10040-016-1486-8",
language = "Spansk",
volume = "25",
pages = "359--370",
journal = "Hydrogeology Journal",
issn = "1431-2174",
publisher = "Springer",
number = "2",

}

RIS

TY - JOUR

T1 - Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics

AU - He, Xiulan

AU - Sonnenborg, Torben

AU - Jørgensen, Flemming

AU - Jensen, Karsten Høgh

PY - 2017

Y1 - 2017

N2 - Stationarity has traditionally been a requirement of geostatistical simulations. A common way to deal with non-stationarity is to divide the system into stationary sub-regions and subsequently merge the realizations for each region. Recently, the so-called partition approach that has the flexibility to model non-stationary systems directly was developed for multiple-point statistics simulation (MPS). The objective of this study is to apply the MPS partition method with conventional borehole logs and high-resolution airborne electromagnetic (AEM) data, for simulation of a real-world non-stationary geological system characterized by a network of connected buried valleys that incise deeply into layered Miocene sediments (case study in Denmark). The results show that, based on fragmented information of the formation boundaries, the MPS partition method is able to simulate a non-stationary system including valley structures embedded in a layered Miocene sequence in a single run. Besides, statistical information retrieved from the AEM data improved the simulation of the geology significantly, especially for the deep-seated buried valley sediments where borehole information is sparse.

AB - Stationarity has traditionally been a requirement of geostatistical simulations. A common way to deal with non-stationarity is to divide the system into stationary sub-regions and subsequently merge the realizations for each region. Recently, the so-called partition approach that has the flexibility to model non-stationary systems directly was developed for multiple-point statistics simulation (MPS). The objective of this study is to apply the MPS partition method with conventional borehole logs and high-resolution airborne electromagnetic (AEM) data, for simulation of a real-world non-stationary geological system characterized by a network of connected buried valleys that incise deeply into layered Miocene sediments (case study in Denmark). The results show that, based on fragmented information of the formation boundaries, the MPS partition method is able to simulate a non-stationary system including valley structures embedded in a layered Miocene sequence in a single run. Besides, statistical information retrieved from the AEM data improved the simulation of the geology significantly, especially for the deep-seated buried valley sediments where borehole information is sparse.

KW - Buried valley

KW - Denmark

KW - Geostatistics

KW - Multiple-point statistics

KW - Non-stationarity

U2 - 10.1007/s10040-016-1486-8

DO - 10.1007/s10040-016-1486-8

M3 - Tidsskriftartikel

AN - SCOPUS:84994316143

VL - 25

SP - 359

EP - 370

JO - Hydrogeology Journal

JF - Hydrogeology Journal

SN - 1431-2174

IS - 2

ER -

ID: 178197499