Reservoir and production engineers need high quality data to evaluate a well’s performance so that they can provide feedback to the completions engineers on which changes in the completion design have the largest impact on well performance. None of this can be done properly if the production team does not receive the best quality data available. This presentation shows how different surface data acquisition methods effect the evaluation of well performance using common RTA techniques. Additionally, this presentation will recommend preferred methods of data acquisition and demonstrate how these methods produce less ambiguous results.
Examples presented in this presentation show how poor data quality can be misleading when it comes to well performance evaluations. Examples of data acquisition from some of the best quality sources illustrate how straight-lines used on specialized diagnostic plots can match the data very closely. Comparisons of results will be used to illustrate the impact that good and poor quality data can have on evaluating the relative difference in well performance due to changes in completion designs.