Article ID Journal Published Year Pages File Type
5471097 Applied Mathematical Modelling 2017 27 Pages PDF
Abstract
By analysing the results of this population of models approach we can identify the similarities between wells based on the parameter distributions, and understand the sensitivity of key model parameters. We show by example that high correlation between wells based on their parameter values may be an indicator of their similarity. A combinatorial sum of the predicted gas production is compared against the individual gas volumes (given in terms of percentage of the total volume) measured at the compression facility as a way of further calibrating a subpopulation of models.
Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
Authors
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