Operators want to benchmark the run-life performance of their progressing cavity pumping (PCP) systems against that of other industry players to ensure that they are achieving the best run-life they can. When doing such benchmarking analyses, it is important to benchmark against analogue fields with similar application characteristics to ensure that the results are meaningful. However, identifying proper analogue fields is not straightforward as there are many parameters that one may potentially consider to define what a similar application is. To date, there is no tool available to assist operators in identifying analogue fields in PCP applications for benchmarking PCP run-life performance.

This paper presents the approach taken to develop and validate a PCP Classification Tree that defines application classes, based on relevant application characteristics, which can be used by operators to assist with identifying potential analogue fields (i.e. based on characteristics that have proven influential on PCP run-life performance). The difficulties encountered during the development are described. The proposed PCP Classification Tree, which was built using a comprehensive worldwide database of PCP installations that includes both run-life and application characteristics data, is also presented in the paper. According to the proposed PCP Classification Tree, good analogue operations, with similar average run-life performance, are those that have similar downhole operating temperature, and similar fluid characteristics, such as fluid mixture viscosity, oil density, H2S, CO2 and solids content.

You can access this article if you purchase or spend a download.