The application of artificial neural networks for the prediction of water quality of polluted aquifer

Date

2000-04-01

Author

Gumrah, F
Oz, B
Guler, B
Evin, S

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From hydrocarbon reservoirs, beside of oil and natural gas, the brine is also produced as a waste material, which may be discharged at the surface or re-injected into the ground. When the wastewater is injected into the ground, it may be mixed with fresh water source due to to several reasons. Forecasting the pollutant concentrations by knowing the historical data at several locations on a field has a great importance to take the necessary precautions before the undesired situations are happened.

Subject Keywords

Artificial neural network, Chlorine concentration, Groundwater simulation

URI

https://hdl.handle.net/11511/67372

Journal

WATER AIR AND SOIL POLLUTION

DOI

https://doi.org/10.1023/a:1005165315197

Collections

Department of Petroleum and Natural Gas Engineering, Article

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Citation Formats

F. Gumrah, B. Oz, B. Guler, and S. Evin, “The application of artificial neural networks for the prediction of water quality of polluted aquifer,” WATER AIR AND SOIL POLLUTION, pp. 275–294, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67372.