Abstract
With the exploitation of oil, oil pumping units are facing with the challenges such as low efficiency, increased mining difficulties and old infrastructures. The requirement of digital construction on oilfields is emerging, especially to these sucker sod pump (SRP) units built in last century. In this article, to facilitate the intelligent development of SRP systems, the concept of the parallel digital sucker rod pump systems (PDSRPS) was presented first, and their optimization framework was designed to efficiently improve the design and balance by data interactions. The real oil pump systems were integrated with their customized digital twins to establish the cyber-physical systems. The adaptive optimization on pumping processes was continuously developing with the interaction between physical pump units and their digital versions. The feasibility of the proposed framework has been demonstrated through the computational experiments on conventional beam-pumping units.
Published Version
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