EMULATION OF EXPERT APPROACH TO WHSR CURVE-FITTING ON THE BASIS OF MAXIMUM VALIDITY FUZZY MEASURE
Keywords:
expert approach emulation, hydrodynamic research, well, f-regression method.Abstract
The main aim of well hydrostatic research (WHSR) data analysis is to determine a model of a well, layer and boundaries with the following identification of their parameters. Traditionally this task is performed by an expert who compares real data with typical pressure curves; that is done manually or with a help of special software. Therefore, there arises the task to determine linear areas in WHED data that allows establishing filtration mode dominant on the certain time slot (linear, radial etc.). This article investigates the method of cluster fuzzy regression analysis which is based on maximum validity fuzzy measure. This method uses parameters of explicit basic data uncertainty (f-regression method). The analyzed example has shown that the task traditionally performed by an expert (set of quantity and parameters of curve linear areas) and can be carried out in semi-automated mode by means of proper set of basic data uncertainty and chooses of method parameters for consequent identification of reservoir model and its parameters.
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