Tuning of Well Models With WellFLo® Software
Tuning Inflow Performance Relationship to Measured Data
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In order to be certain that analysis results can be trusted to match reality, users need a way to tune their well model to measured data. With many software packages, this task can prove to be labor-intensive and challenging. In the redesigned WellFlo 4.0 software release, this task has been greatly simplified through the development of an all-new tuning” mode. In this mode, users are able to tune PVT correlations using PVT data; they can use flowing pressure gradient surveys to tune their outflow performance model; they can use production well test data, at either surface or downhole conditions, to tune their inflow performance model and they can use multi-rate well test performance data to tune a variety of well parameters. In each of these cases, data can either be entered manually or imported from an external source through a wizard-based data import tool. Once the measured data is entered, it can then be used to tune a variety of parameters using a powerful non-linear regression algorithm. This ensures that well models will be as accurate as possible with a minimum of effort from the user.
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