The use of genetic algorithms for determining the transport parameters of core experiments

Date

2000-01-01

Author

Gumrah, F
Durgut, I
Oz, B
Yeten, B

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From hydrocarbon reservoirs, brine is produced as a waste material, which may be injected into the ground or discharged at the surface. When the wastewater is injected into the ground, it may be mixed with fresh-water sources by several processes. Groundwater contamination from leakage, spills, or the injection of hazardous or toxic materials is widely regarded as one of the leading environmental problems. This study presents the use of genetic algorithms (GAs) as a viable means of estimating the transport parameters such as dispersivity, retardation factor, and diffusion coefficient of water-saturated porous media. The unknown transport parameters of advective-dispersive contaminant equations for homogeneous, linear, radial, and fractured systems are predicted by the use of GAs coupled with the experimental data. The parameter estimation study is considered as a constrained optimisation problem by minimising the total error between the calculated and the measured effluent concentrations satisfying state equations, boundary conditions, and limits on parameters.

Subject Keywords

Stochastic-analysis, Porous-media, Macrodispersion, Models

URI

https://hdl.handle.net/11511/67381

Journal

IN SITU

Collections

Department of Petroleum and Natural Gas Engineering, Article

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Citation Formats

F. Gumrah, I. Durgut, B. Oz, and B. Yeten, “The use of genetic algorithms for determining the transport parameters of core experiments,” IN SITU, pp. 21–56, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67381.