利用数字孪生实现钻井自动化实时监控

M. G. Mayani, R. Rommetveit, S. I. Oedegaard, Morten Svendsen
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引用次数: 9

摘要

拥有钻井的数字孪生体,将数字和物理数据结合预测分析和诊断信息,提高了钻井作业规划和决策的准确性。它可以帮助行业提高安全性,提高效率,获得基于经济价值的最佳决策,并降低运营成本。目前,高级监测通常使用实时测量,将预模拟结果与测量结果进行比较,执行手动诊断,并在发现异常时运行新的模拟。都是人工完成的。使用Digital Twin技术,钻井可以超越高级监测,通过实施自动“前瞻性”和多重“假设”模拟,为作业提供最佳计划,重点是安全、降低风险和提高性能。本文中的Digital Twin示例可以在2D和3D模拟视图下进行更高级和更复杂的自动预测模拟、诊断、“前瞻性”和“假设”模拟以及井筒预测分析。通过使用先进的模型(Digital Twin),在高压高温(HPHT)条件下的一口井钻井作业中,所有相关的挑战和风险都被识别出来。研究了该井钻井和循环过程中的立管压力(SPP)、等效循环密度(ECD)和温度变化规律。Digital Twin还用于评估9 / 7/8″套管下入和固井期间可能出现的损失,特别关注套管穿过地层的时间。在另一口井中,在钻井8½″段时,Digital Twin触发了高岩屑浓度的早期通知。调整了流量,有助于防止因漏失造成的侧钻和封隔。此外,在另一个案例中,在17½″段钻井过程中,通过比较模拟的活动坑计算和测量的储罐体积,避免了较大的损失。Digital Twin能够实现先进的自动预测模拟、自我诊断、自动“前瞻性”、多重“假设”模拟和预测分析,从而提高安全性、降低风险、提高钻井性能并降低成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drilling Automated Realtime Monitoring Using Digital Twin
Having a Digital Twin of the drilling well, pairing digital and physical data combined with predictive analytics and diagnostic messages, improves accuracy in planning and decision making of the drilling operation. It helps the industry to increase safety, improve efficiency and gain the best economic-value-based decision as well as reduce operational cost. Today advanced monitoring is normally done using real-time measurements, compare pre-simulation results with measurements, perform manual diagnostics and run new simulations when abnormalities are seen. All done manually by people. Drilling can move beyond advanced monitoring using Digital Twin's by implementing automatic ‘forward-looking’ and multiple ‘what-if’ simulation to give operations the optimal plan with focus on safety, risk reduction and improved performance. The Digital Twin examples in the current paper can do more advanced and complex automatic forecasting simulations, diagnostics, ‘forward-looking’ and ‘what-if’ simulation as well as predictive analytics in the wellbore in the 2D and 3D simulation view. By using the advanced models (Digital Twin), all relevant challenges and risks were identified during the drilling operations of one well under high pressure high temperature (HPHT) conditions. The stand pipe pressure (SPP), equivalent circulating density (ECD) and temperature behavior were studied during the drilling and circulation of this well. The Digital Twin was also used to evaluate possible losses during 9 7/8″ casing running and cementing with special focus on when casing was passing through the formations. In another well the Digital Twin triggered an early notification regarding high cuttings concentration during drilling 8 ½″ section. The flow rate was adjusted and helped to prevent sidetrack and pack-off due to losses. Morover during drilling 17 ½″ section in another case, large losses were prevented by comparing the modeled active pit calculation and measured tank volume. The Digital Twin enables advanced automatic forecasting simulation, self-diagnostics, automatic ‘forward-looking’, multiple ‘what-if’ simulation and predictive analytics to improve safety, reduce risk, increase drilling performance and reduce costs.
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