This paper offers a comprehensive exploration into the field applications of multiphase flowmeters (MPFMs) across global contexts and the insights from a smart oil field that represents an exemplary sample for evaluating MPFM technologies because it encompasses several types of MPFM available in the market. The study uncovers lessons learned and best practices derived from diverse operational environments that drove the development of a robust autodiagnostic solution to enhance MPFM performance.
Introduction
Recent field studies have demonstrated that the performance of MPFMs can vary widely depending on asset-specific characteristics and operational practices. Lessons learned from these applications highlight the necessity for robust autodiagnostic capabilities and continuous calibration to address measurement uncertainties and maintain high standards of data integrity.
A benchmark study across several onshore assets revealed one asset in particular experiencing high well-test-rejection rates after MPFM installation, resulting in inefficiency and poor reservoir management. After an in-depth investigation, the sources of errors were identified and an autodiagnostic tool was developed to detect MPFM issues automatically by integrating real-time equipment alarms, ensuring well-test quality and identifying equipment or fluid property problems on the spot.
