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首页> 外文会议>International Association of Drilling Contractors and Society of Petroleum Engineers Drilling Conference and Exhibition >Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example from North Sea Drilling Operations
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Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example from North Sea Drilling Operations

机译：利用计算机型号的实时校准，早期检测钻井条件恶化：北海钻井作业的现场示例

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Abnormal surface torque and hook load values are symptoms of downhole drilling condition deterioration which can result in unexpected situations. Usually, friction tests are performed at regular intervals and rig personnel uses these measurements to monitor trend variations in order to detect possible risk of poor hole cleaning or increased borehole tortuousity. The quality of the detection can vary greatly in function of the work load and experience of the drilling staff. The availability of real-time measurements through data servers make it possible to automate and systemize the monitoring process and therefore trigger alarms before drilling problems really occurs. This paper presents a computer system used to systematically analyse real-time data in order to monitor downhole conditions. Such a system can utilize much more data than just the above mentioned friction tests, because mechanical, hydraulic and temperature models can calculate predicted hook load and surface torque in any drilling conditions. The numerical models are automatically calibrated (adjustment of drill-pipe linear weight, factors for mechanical and hydraulic friction and heat generation). The evolution of proper calibration factors is used to detect poor downhole conditions. Automatically generated messages are sent to key personnel who can evaluate the potential problems and take necessary actions. To validate this new methodology, the system has been run on recorded data from three wells on an oil field in the North Sea. A data filtering technique has been developed and applied to solve problems with noisy and erratic real-time signals. With correct input parameters, the system has clearly indicated unexpected measurements several hours before a pack-off problem occurred and therefore proven that the methodology could help in detecting the worsening of downhole drilling conditions. Availability of large amount of real-time data at the rig site or in onshore drilling centres does not necessarily facilitate the recognition of drilling problems. However, online interpretation systems, as the one described above, can systematically analyze the logged data to detect as early as possible the deterioration of hole conditions during drilling operations and corrective actions can be taken before any major problem has really occurred.
机译：异常表面扭矩和钩子载荷值是井下钻井条件恶化的症状，这可能导致意外情况。通常，摩擦测试以规则的间隔进行，并且钻机人员使用这些测量来监测趋势变化，以便检测孔清洁或增加钻孔曲折的可能风险。检测质量可能在工作负荷和钻井员工的经验方面有很大差异。通过数据服务器的实时测量的可用性使得可以自动化和系统化监控过程，从而在钻井问题之前触发警报。本文介绍了一种用于系统地分析实时数据的计算机系统，以便监视井下条件。这种系统可以利用比上述摩擦测试更多的数据，因为机械，液压和温度模型可以在任何钻孔条件下计算预测的钩载和表面扭矩。数值模型自动校准（调节钻管线性重量，机械和液压摩擦和发热的因素）。适当校准因子的演变用于检测较差的井下条件。自动生成的消息被发送到可以评估潜在问题并采取必要行动的关键人员。为了验证这种新方法，系统已经在北海油田的三个井上运行了录制的数据。已经开发了一种数据过滤技术，并应用于解决嘈杂和不稳定的实时信号的问题。通过正确的输入参数，系统在发生包装问题之前几个小时明确表示意外测量，因此证明方法论可以有助于检测井下钻井条件的恶化。钻机现场或陆上钻井中心的大量实时数据的可用性不一定促进钻孔问题的识别。然而，在线解释系统，作为上述之一，可以系统地分析记录数据以尽早检测钻井操作期间孔条件的劣化，并且在任何主要问题真实问题之前可以采取纠正措施。

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