esp井作业管理的资源-能源效率(途径、模型、方法)

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

摘要

电潜泵(ESP)井的控制和调节技术潜力的扩大,以及数字智能解决方案的大规模开发,极大地扩大了完井最佳模式、规则和参数的设置范围。引入资源和能源效率指标,并明确评估故障期,从而可以在运行的多维复杂因素条件下考虑性能,能耗和耐用性的平衡,从而建立最佳解决方案的时间层次。对于最优解的综合,主要设计方案中被控过程的简化模型描述的完备性因素比难以适应操作控制系统的通用集成平台模型所提供的细节更为重要。将所提出的数值解析设计方案与基于“最佳实践”统计训练的神经网络模型的优化选择方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resource-energy Efficiency of ESP-equipped Wells Operation Management (Approaches, Models, Methods)
Expansion of the control and regulation potential of technologies for electric submersible pump (ESP) -equipped wells and large-scale development of digital intelligent solutions significantly expand the setting range of optimal modes, regulations and parameters of well completion. The introduction of resource and energy efficiency indicators with an explicit evaluation of the failure period makes it possible to build a temporal hierarchy of optimal solutions, considering the balances in performance, energy consumption and durability under conditions of multidimensional complicative factors of the operation. For the synthesis of optimal solutions, the factor completeness of simplified model descriptions of controlled processes in primary design schemes is of greater importance than the details provided by models of universal integrated platforms that are difficult to fit into operational control systems. The proposed scheme of numerical-analytical design is compared with new approaches to the optimal choice based on neural network models trained according to the statistics of “best practices” for the completing and operation of ESPs.
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