Optimizing Rod Pump Performance Using High Frequency, High Resolution Pressure Data at the Wellhead

K. Vekved, T. Ito, R. Gordon
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Abstract

This is part of a case study designed to confirm that high frequency, high resolution pressure data measured at the wellhead of a pumpjack well can be used to evaluate and optimize the performance of the downhole pump. This paper will provide the rationale for the concepts and methods that will be used and tested during field trials of this approach. For the field trials, participants are installing high-performance pressure monitoring devices on the tubing of rod pump wells upstream of the flow line check valve. Additional devices are being installed on the flow line. These Internet of Things (IoT) devices are rated for Class I, Division 1 hazardous zones, measure pressure at one-second intervals, and have a pressure resolution of 0.006 psi. The per-second pressure measurements are also time-synchronized and temperature-compensated for accuracy and will be delivered to a cloud-based data service over the course of several weeks. For each well, the difference in pressure between the tubing and flow line will be analyzed in five-minute data windows. The pressure differential from each five-minute data window will provide a clear picture of the pressure the pump exerts on the flow line over the course of an average pumping cycle during that interval. Because pressure can be used as a proxy for flow, fill and efficiency at the bottom hole pump can be deduced from the calculated flow profile at surface, eliminating the rods and their associated error as the conduit of pump performance data. Assessments of pump performance using this technique will also be compared to results from production tests to determine how effective this technique is in evaluating rod pump performance. The large sample of five-minute data windows collected over the course of a month will test the technique against varying operational conditions. Furthermore, we will determine if particular pressure trends, as outlined in this paper, correlate with certain pump conditions during field trials, which would be of use for diagnosing pumping issues. The approach of using high frequency, high resolution pressure measurement at the wellhead to assess downhole pump performance has shown promise in a previous case study (SPE-209253-MS). The current case study will add to the body of literature around this technique. Success with this technique would offer an economical alternative for monitoring rod pump performance of aging wells.
利用井口高频、高分辨率压力数据优化有杆泵性能
这是一个案例研究的一部分,旨在确认在抽油机井口测量的高频、高分辨率压力数据可用于评估和优化井下泵的性能。本文将提供将在该方法的实地试验中使用和测试的概念和方法的基本原理。在现场试验中,参与者在油管止回阀上游的有杆泵井油管上安装了高性能压力监测设备。管线上正在安装其他设备。这些物联网(IoT)设备的额定等级为I类,1级危险区域,每隔一秒测量压力,压力分辨率为0.006 psi。每秒的压力测量也是时间同步和温度补偿的精度,并将在几周内交付给基于云的数据服务。对于每口井,油管和流线之间的压力差将在5分钟的数据窗口内进行分析。每个5分钟数据窗口的压差将提供在该间隔内平均泵送周期过程中泵对流线施加的压力的清晰图像。由于压力可以作为流量的代表,因此可以从计算的地面流量剖面中推断出井底泵的填充和效率,从而消除了杆及其相关误差作为泵性能数据的管道。使用该技术进行的泵性能评估还将与生产测试结果进行比较,以确定该技术在评估有杆泵性能方面的有效性。在一个月内收集的5分钟数据窗口的大样本将在不同的操作条件下测试该技术。此外,我们将确定特定的压力趋势,如本文所述,是否与现场试验中的某些泵工况相关,这将用于诊断泵送问题。在之前的案例研究(SPE-209253-MS)中,在井口使用高频、高分辨率压力测量来评估井下泵的性能的方法显示了前景。当前的案例研究将增加围绕这种技术的文献。该技术的成功将为监测老化井的有杆泵性能提供一种经济的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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