Avaliação da qualidade de operação de sistemas de bombeio por cavidades progressivas baseada em análise científica de dados

Abstract

The progressive cavity pumping (PCP) system is considered an energy efficient artificial lift technology, in addition to being quite versatile in terms of the type of material it can extract. It can be used to extract heavy oils, liquids with high sediment content, and to extract oil with a certain gas fraction. The equipment’s condition is monitored via sensors installed at the wellhead and at the bottom of the well. In some cases, the diagnosis of a possible well failure is made based on visual analysis by the operator. In this sense, the objective of the work is to propose an approach based on scientific analysis and data visualization for monitoring the performance and diagnosing operational failures of wells with a progressive cavity pumping system. In the work, real data were obtained from the parameters that characterize the operating conditions of the wells under study, in addition to including in the set of attributes the data related to the well’s production tests. To allow the characterization of the behavior of a system with so many attributes, data analysis and visualization techniques were used in conjunction with association rules. This approach allows visualizing and relating multidimensional data of operations, in addition to facilitating the understanding of the behavior of attributes when the system operates with some type of failure, as well as in its normal operation. The results obtained indicate that the proposed approach allowed the visual identification of patterns of operation modes of this type of system, enabling the detection of failures and analysis of performance with their trends.