基于现场实测数据的ESP作业资源动态因子模型及其识别方案

D. Govorkov, I. G. Solovyev, Ivan V. Konstantinov
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引用次数: 0

摘要

所考虑的电潜泵(ESP)运行资源消耗动态模型,在监测舒适工况、优化排井模式、进度和参数等方面具有多种用途。预测油井资金的资源消耗动态是规划储量和管理维修和维护生产过程的基础。与数学建模相比,因子分析总结了这类系统的运行经验,确定了绝缘加速机械磨损和老化的因素指标。本文根据一组井的潜水设备全生命周期运行状态监测数据,探讨了利用累积因子识别资源模型敏感性系数的方法和算法。
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Factor Model of the ESP Operational Resource Dynamics and it's Identification Scheme with the Use of the Field-measured Data
The considered model of the electric submersible pump (ESP) operational resource consumption dynamics has a multifunctional purpose in monitoring of comfortable operating conditions and optimizing of modes, schedule and parameters of well arrangement. Forecasting the dynamics of resource consumption for the well fund serves as the basis for planning the volume of reserves and managing the production processes of repair and maintenance. Factor analysis, in contrast to mathematical modeling, summarizes the operating experience of such systems, determining factor indicators of accelerated mechanical wear and aging of insulation. The proposed work discusses the approach and algorithms for identifying the sensitivity coefficients of the resource model with cumulatively accumulated factors according to the monitoring data of the operation states of submersible equipment for a group of wells during their complete life cycle.
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