Stochastic Risk and Uncertainty Analysis for Shale Gas Extraction in the Karoo Basin of South Africa

Joint Authors

van Tonder, Gerrit
Rusagara, Innocent

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-02-05

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Mathematics

Abstract EN

We made use of groundwater flow and mass transport equations to investigate the crucial potential risk of water pollution from hydraulic fracturing especially in the case of the Karoo system in South Africa.

This paper shows that the upward migration of fluids will depend on the apertures of the cement cracks and fractures in the rock formation.

The greater the apertures, the quicker the movement of the fluid.

We presented a novel sampling method, which is the combination of the Monte Carlo and the Latin hypercube sampling.

The method was used for uncertainties analysis of the apertures in the groundwater and mass transport equations.

The study reveals that, in the case of the Karoo, fracking will only be successful if and only if the upward methane and fracking fluid migration can be controlled, for example, by plugging the entire fracked reservoir with cement.

American Psychological Association (APA)

Rusagara, Innocent& van Tonder, Gerrit. 2014. Stochastic Risk and Uncertainty Analysis for Shale Gas Extraction in the Karoo Basin of South Africa. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033696

Modern Language Association (MLA)

Rusagara, Innocent& van Tonder, Gerrit. Stochastic Risk and Uncertainty Analysis for Shale Gas Extraction in the Karoo Basin of South Africa. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1033696

American Medical Association (AMA)

Rusagara, Innocent& van Tonder, Gerrit. Stochastic Risk and Uncertainty Analysis for Shale Gas Extraction in the Karoo Basin of South Africa. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033696

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1033696