HYDRAULIC PARAMETER ESTIMATION OF CONFINED AQUIFER USING GENETIC ALGORITHMHYDRAULIC PARAMETER ESTIMATION OF CONFINED AQUIFER USING GENETIC ALGORITHM
Pumping test data processing is often carried out using curve fitting, in the form of matching observation curve with theoretical model curve. Because it is done manually, the accuracy of the results of this method is very vulnerable to errors. To reduce these errors, digital matching can be an alte...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/24943 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Pumping test data processing is often carried out using curve fitting, in the form of matching observation curve with theoretical model curve. Because it is done manually, the accuracy of the results of this method is very vulnerable to errors. To reduce these errors, digital matching can be an alternative, when minimizing the difference between the observation curve and the digital curve at each point on both curves. In this way, the computer will generate any value of the hydraulic parameters that may be the best solution, resulting in an associated digital curve which is then matched to the observation curve. In this way, the estimated value of transmissivity and storativity can be viewed as an optimization problem. Optimization is done by using genetic algorithm that runs using MATLAB (2013). Using genetic algorithm, the value of transmissivity and storativity in the one of test well in Jakarta were 3.922 x 10-3 m2/min and 6.941 x 10-5, respectively. There is a difference between the results of genetic algorithm method and conventional method, due to the difference of curve fitting accuracy. Genetic algorithm methods have higher accuracy than conventional methods, as evidenced by the least-square error of genetic algorithm is much lower. <br />
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