A progressive cavity pump (PCP) characterization model is developed to predict flow characteristics under varying multiphase flowing conditions. This paper presents a procedure for modeling PCPs and its integration to grid-based network solvers including successively accelerated substitution (SAS) and Newton-based approaches. Our numerical study shows the latter leads to a much lower computing cost than that of its counterpart. This PCP model also provides calibration capacity on the performance curve at in-situ PVT properties. This modeling work may be applied to PCP related tasks, including: PCP surveillance, well planning, nodal analysis, and network optimization.
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