Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model

Menel Rahrah; Fred Vermolen

doi:10.1007/978-3-319-96415-7_59

Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model

^*Corresponding author for this work

Numerical Analysis

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Abstract

As demand for water increases across the globe, the availability of freshwater in many regions is likely to decrease due to a changing climate, an increase in human population and changes in land use and energy generation. Many of the world’s freshwater sources are being drained faster than they are being replenished. To solve this problem, new techniques are developed to improve and optimise renewable groundwater sources, which are an increasingly important water supply source globally. One of this emerging techniques is rainwater storage in the subsurface. In this paper, different methods for rainwater infiltration are presented. Furthermore, Monte Carlo simulations are performed to quantify the impact of variation in the soil characteristics and the infiltration parameters on the infiltration rate. Numerical results show that injection pulses may increase the amount of water that can be injected into an aquifer.

Original language	English
Title of host publication	Numerical Mathematics and Advanced Applications ENUMATH 2017
Editors	Florin Adrian Radu, Kundan Kumar, Inga Berre, Jan Martin Nordbotten, Iuliu Sorin Pop
Place of Publication	Cham
Publisher	Springer
Pages	645-652
Number of pages	8
ISBN (Electronic)	978-3-319-96415-7
ISBN (Print)	978-3-319-96414-0
DOIs	https://doi.org/10.1007/978-3-319-96415-7_59
Publication status	Published - 2019
Event	ENUMATH 2017: European Conference on Numerical Mathematics and Advanced Applications - University of Bergen, Voss, Norway Duration: 25 Sept 2017 → 29 Sept 2017 https://www.uib.no/en/enumath2017

Publication series

Name	Lecture Notes in Computational Science and Engineering
Volume	126
ISSN (Print)	1439-7358

Conference

Conference	ENUMATH 2017
Country/Territory	Norway
City	Voss
Period	25/09/17 → 29/09/17
Internet address	https://www.uib.no/en/enumath2017

UN SDGs

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

Access to Document

10.1007/978-3-319-96415-7_59

Cite this

Rahrah, M., & Vermolen, F. (2019). Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model. In F. A. Radu, K. Kumar, I. Berre, J. M. Nordbotten, & I. S. Pop (Eds.), Numerical Mathematics and Advanced Applications ENUMATH 2017 (pp. 645-652). (Lecture Notes in Computational Science and Engineering; Vol. 126). Springer. https://doi.org/10.1007/978-3-319-96415-7_59

Rahrah, Menel ; Vermolen, Fred. / Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model. Numerical Mathematics and Advanced Applications ENUMATH 2017. editor / Florin Adrian Radu ; Kundan Kumar ; Inga Berre ; Jan Martin Nordbotten ; Iuliu Sorin Pop. Cham : Springer, 2019. pp. 645-652 (Lecture Notes in Computational Science and Engineering).

@inproceedings{5522de9b71674df88ddb4453a569044d,

title = "Uncertainty Quantification in Injection and Soil Characteristics for Biot{\textquoteright}s Poroelasticity Model",

abstract = "As demand for water increases across the globe, the availability of freshwater in many regions is likely to decrease due to a changing climate, an increase in human population and changes in land use and energy generation. Many of the world{\textquoteright}s freshwater sources are being drained faster than they are being replenished. To solve this problem, new techniques are developed to improve and optimise renewable groundwater sources, which are an increasingly important water supply source globally. One of this emerging techniques is rainwater storage in the subsurface. In this paper, different methods for rainwater infiltration are presented. Furthermore, Monte Carlo simulations are performed to quantify the impact of variation in the soil characteristics and the infiltration parameters on the infiltration rate. Numerical results show that injection pulses may increase the amount of water that can be injected into an aquifer.",

author = "Menel Rahrah and Fred Vermolen",

year = "2019",

doi = "10.1007/978-3-319-96415-7_59",

language = "English",

isbn = "978-3-319-96414-0",

series = "Lecture Notes in Computational Science and Engineering",

publisher = "Springer",

pages = "645--652",

editor = "Radu, {Florin Adrian} and Kundan Kumar and Inga Berre and Nordbotten, {Jan Martin} and Pop, {Iuliu Sorin}",

booktitle = "Numerical Mathematics and Advanced Applications ENUMATH 2017",

note = "ENUMATH 2017 : European Conference on Numerical Mathematics and Advanced Applications ; Conference date: 25-09-2017 Through 29-09-2017",

url = "https://www.uib.no/en/enumath2017",

}

Rahrah, M & Vermolen, F 2019, Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model. in FA Radu, K Kumar, I Berre, JM Nordbotten & IS Pop (eds), Numerical Mathematics and Advanced Applications ENUMATH 2017. Lecture Notes in Computational Science and Engineering, vol. 126, Springer, Cham, pp. 645-652, ENUMATH 2017, Voss, Norway, 25/09/17. https://doi.org/10.1007/978-3-319-96415-7_59

Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model. / Rahrah, Menel; Vermolen, Fred.
Numerical Mathematics and Advanced Applications ENUMATH 2017. ed. / Florin Adrian Radu; Kundan Kumar; Inga Berre; Jan Martin Nordbotten; Iuliu Sorin Pop. Cham: Springer, 2019. p. 645-652 (Lecture Notes in Computational Science and Engineering; Vol. 126).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model

AU - Rahrah, Menel

AU - Vermolen, Fred

PY - 2019

Y1 - 2019

N2 - As demand for water increases across the globe, the availability of freshwater in many regions is likely to decrease due to a changing climate, an increase in human population and changes in land use and energy generation. Many of the world’s freshwater sources are being drained faster than they are being replenished. To solve this problem, new techniques are developed to improve and optimise renewable groundwater sources, which are an increasingly important water supply source globally. One of this emerging techniques is rainwater storage in the subsurface. In this paper, different methods for rainwater infiltration are presented. Furthermore, Monte Carlo simulations are performed to quantify the impact of variation in the soil characteristics and the infiltration parameters on the infiltration rate. Numerical results show that injection pulses may increase the amount of water that can be injected into an aquifer.

AB - As demand for water increases across the globe, the availability of freshwater in many regions is likely to decrease due to a changing climate, an increase in human population and changes in land use and energy generation. Many of the world’s freshwater sources are being drained faster than they are being replenished. To solve this problem, new techniques are developed to improve and optimise renewable groundwater sources, which are an increasingly important water supply source globally. One of this emerging techniques is rainwater storage in the subsurface. In this paper, different methods for rainwater infiltration are presented. Furthermore, Monte Carlo simulations are performed to quantify the impact of variation in the soil characteristics and the infiltration parameters on the infiltration rate. Numerical results show that injection pulses may increase the amount of water that can be injected into an aquifer.

UR - http://www.scopus.com/inward/record.url?scp=85060038626&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-96415-7_59

DO - 10.1007/978-3-319-96415-7_59

M3 - Conference contribution

AN - SCOPUS:85060038626

SN - 978-3-319-96414-0

T3 - Lecture Notes in Computational Science and Engineering

SP - 645

EP - 652

BT - Numerical Mathematics and Advanced Applications ENUMATH 2017

A2 - Radu, Florin Adrian

A2 - Kumar, Kundan

A2 - Berre, Inga

A2 - Nordbotten, Jan Martin

A2 - Pop, Iuliu Sorin

PB - Springer

CY - Cham

T2 - ENUMATH 2017

Y2 - 25 September 2017 through 29 September 2017

ER -

Rahrah M, Vermolen F. Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model. In Radu FA, Kumar K, Berre I, Nordbotten JM, Pop IS, editors, Numerical Mathematics and Advanced Applications ENUMATH 2017. Cham: Springer. 2019. p. 645-652. (Lecture Notes in Computational Science and Engineering). doi: 10.1007/978-3-319-96415-7_59

Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this