Autonomous Restriction Navigation Through Wellbore in Wireline and Slickline Operations

S. DiPasquale, J. Meirkhan
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Abstract

A novel technique of autonomous restriction navigation that significantly increases efficiency and safety is presented. New algorithms orchestrate the automated winch control system to prevent over-speeding when passing through restrictions, which diminishes incidents of unintentional pull-off and toolstring damage caused by entering wellbore obstructions at high speed. Every pull-off incident would significantly reduce the production of the well because the toolstring and cable must be recovered. This new dynamic speed scheduling system optimizes restriction navigation, showing an order of magnitude improvement over industry-standard human-driven winch operation. A new forward-looking algorithm analyzes restrictions in the direction of conveyance to predict the time and distance to future encounters with restrictions. It uses toolstring length, current depth, cable speed, and the winch controller's deceleration rate to maintain the maximum allowed speed until the exact moment deceleration must occur for the toolstring to enter a restriction at the proper speed. Finally, it maintains a higher winch gear even at low speeds when passing through restrictions except in those situations when extra-low speed is required. The new technique has been extensively tested in intervention campaigns in the North Sea, allowing comparison against manual operation and previous-generation automated conveyance. Winch operators would often fail to slow down at restrictions or would slow down too early or too late. Previous-generation automation, due to its lack of forward-looking algorithms, would not decelerate until the toolstring encountered the restriction and could accelerate with the toolstring still in the restriction. To prevent this, the wellsite supervisor would need to spend extra time manually calculating top and bottom restriction depths for each conveyance direction, often leading to overestimation or miscalculation of the restriction declarations. In case studies from field trials, the new technique consistently uses the correct restriction speed for the entire toolstring length. Users only need to declare wellbore speed restrictions as they appear on the well diagram. In manual operation, an experienced user will retain high winch gear through a restriction, whereas previous automation would stop and change gear. The new technique digitalizes winch driving competency by incorporating high-gear retention. After a year of field trials with zero incidents, several case studies with multiple restrictions in the well confirm the greater efficiency of the new navigation technique over previous generations. The developed comprehensive automated speed-control logic and restriction navigation technique maximizes conveyance speed while eliminating risk and costly errors. Its intrinsic value increases when operations are performed in highly sophisticated well completions and tortuous wells, which are becoming more common.
有线和单线作业中井筒自主限制导航
本文介绍了一种新型的自主限制导航技术,可显著提高效率和安全性。新算法协调自动绞车控制系统,防止通过限制时超速,从而减少因高速进入井筒障碍物而造成的意外拉断和工具绳损坏。由于必须回收工具绳和电缆,每次拉断事件都会大大降低油井的产量。这种新的动态速度调度系统可优化限制导航,与行业标准的人力驱动绞车操作相比,有数量级的改进。一种新的前瞻性算法分析输送方向上的限制,预测未来遇到限制的时间和距离。它使用工具绳长度、当前深度、电缆速度和绞车控制器的减速率来保持允许的最大速度,直到工具绳以适当速度进入限制区时必须减速的确切时刻。最后,即使在低速通过限制时,它也能保持较高的绞车档位,除非需要超低速。这项新技术已在北海的干预活动中进行了广泛测试,可与人工操作和上一代自动输送系统进行比较。绞车操作员经常无法在限制条件下减速,或者减速过早或过晚。上一代自动化设备由于缺乏前瞻性算法,在工具绳遇到限制前不会减速,而在工具绳仍在限制区内时就会加速。为了避免这种情况,井场主管需要花费额外的时间手动计算每个输送方向的顶部和底部限制深度,这往往会导致高估或误算限制声明。在现场试验的案例研究中,新技术始终在整个工具绳长度上使用正确的限制速度。用户只需按照井图上显示的井筒速度限制进行申报即可。在手动操作中,有经验的用户会在通过限制时保持较高的绞车档位,而以前的自动化操作则会停止并更换档位。新技术通过将高挡位保持功能融入其中,将绞车驾驶能力数字化。经过一年的现场试验,零事故发生,若干井中多重限制的案例研究证实,与前几代产品相比,新的导航技术效率更高。所开发的综合自动化速度控制逻辑和限制导航技术可最大限度地提高输送速度,同时消除风险和代价高昂的错误。在高难度完井和迂回井中进行作业时(这种情况越来越常见),该技术的内在价值会更高。
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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