Modeling Texture of Shale Gas Water Management under Risk Factor

Authors

  • Firoz Ahmad Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002, India.
  • Ajhar Hussain Department of Geology, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002, India.
  • Ahmad Yusuf Adhami Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002, India.

DOI:

https://doi.org/10.48165/

Keywords:

Intuitionistic fuzzy parameters, Uncertainty modeling, Shale gas water management system

Abstract

Shale gas energy is the most prominent and dominating source of power across the globe. The extraction  processes of shale gas from shale-rocks are very complex. In this present study, a multi objective  optimization framework has been presented for the overall water management system which includes the  allocation of fresh water for hydraulic fracturing and optimal management of produced wastewater with  different techniques. The generated wastewater from shale fracking process contains highly toxic  chemicals. The optimal control of a massive amount of contaminated water is quite challenging tasks.  Therefore on-site treatment plant, underground disposal facility, and treatment plant with its expansion  capacity has been designed to overcome the environmental issues. A multi objective trade-off between  socio-economic and environment have been established under a set of conflicting constraints. A theoretical,  computational study has been presented to show the validity and applicability of proposed multi objective  shale gas water management optimization model and solution procedure. The obtained results and  conclusions along with the significant contributions have been discussed in the context of shale gas supply  chain planning policies over the time horizons. 

Downloads

Download data is not yet available.

References

S.K. Alawattegama, (2013). Survey of well water contamination in a rural southwestern Pennsylvania community with unconventional shale gas drilling. PhD thesis, Duquesne University.

S. Drud, (1994). Conopt—a large-scale grg code .ORSA Journal on computing, 6(2):207–216.

D. Lutz, A. N. Lewis, and M. W. Doyle, (2013) Generation, transport, and disposal of wastewater associated with Marcellus shale gas development. Water Resources Research, 49(2):647–656.

G. Rahm and S. J. Riha, (2013). Toward strategic management of shale gas development: Regional, collective impacts on water resources. Environmental Science & Policy, 17:12–23.

B. G. Rahm, J. T. Bates, L. R. Bertoia, A. E. Galford, D. A. Yoxtheimer, and S. J. Riha, (2013). Wastewater management and marcellus shale gas development: Trends, drivers, and planning implications. Journal of environmental management, 120:105– 113.

P. Stevens, (2012). The shale gas revolution: developments and changes. Chatham House London.

X. Zhang, A.Y. Sun, and I.J. Duncan, (2016). Shale gas wastewater management under uncertainty. Journal of environmental management, 165:188–198.

Published

2020-07-15

How to Cite

Ahmad, F., Hussain, A., & Adhami , A.Y. (2020). Modeling Texture of Shale Gas Water Management under Risk Factor. Bulletin of Pure and Applied Sciences-Geology , 39(1), 47–54. https://doi.org/10.48165/