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

2000-04-01
Gumrah, F
Oz, B
Guler, B
Evin, S
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.
WATER AIR AND SOIL POLLUTION

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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.