具有用户可编程行为的半自主约束导航电缆牵引车系统

N. Baklanov, Xuedong Yang, Maxim Klyuzhev, B. Durand
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引用次数: 0

摘要

提出了一种适用于套管井应用的半自主电缆牵引器解决方案,在没有数字遥测技术的情况下,可以通过复杂的限制条件,以最小的操作员交互进行导航。机器人运输技术为现场人员在作业设计中编写牵引行为编程提供了基础。数字遥测可能无法用于电缆拖拉机工具。具有可编程行为的传输系统可以在常规遥测技术不存在或带宽过低或协议冲突的情况下进行井下导航,这与第三方工具的配置相关。所提出的控制技术利用井下机载测量,跟踪和解码由地面系统供电的头电压波形。电压由操作员设定为几个预定义的波段之一,代表触发一组机器人序列的特定工具命令。测井电缆可以在为拖拉机及其有效载荷提供动力的同时,将高频通信信号传输到有效载荷工具。虽然牵引机的遥测数据没有反馈,但牵引机的运行状况可以从地面测量的电流变化中得出。头部电压稳定系统和负载校准方法可以补偿由于负载变化和测井电缆损耗而产生的电压波动。在井下嵌入式软件中实现了一种先进的信号处理算法,将去噪电压量化,并可靠地将其映射到工作频段,有效地消除了高功率工作造成的瞬态过程。电压估计技术支持由井下工具解释的有限命令集,并激活作为脚本状态机实现的控制逻辑,该状态机的核心基于确定性有限自动机概念。由操作符用自定义元语言编写脚本和参数化的行为使用由运行工具的嵌入式软件提供的动作和条件字典。控制器可以由非程序员设计并投入使用,以解决已知完井的限制导航需求。设计和仿真软件的可用性有助于作业规划。在美国和欧亚地区成功测试了多个具有独立控制臂的牵引机配置,无论是否使用第三方工具,都有自己的遥测技术。可靠的限制导航使用预先编程的行为控制的电压水平已被证明。该设计为其他半自动井下应用提供了开发机会。软件中的电流运行模式识别可以进一步实现地面电力系统的自动化,以驱动井下导航,检测和响应异常,并可靠地控制电压转换。该技术消除了不同遥测系统之间的兼容性障碍,提高了缺乏遥测系统的灵活性,同时保持了系统的可用性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireline Tractor System with User Programmable Behaviors for Semi-Autonomous Restriction Navigation
A semi-autonomous wireline tractor solution for casedhole applications enabling navigation through complex restrictions with minimal operator interaction in absence of digital telemetry is presented. The robotic conveyance technology provides a foundation for applications where programming of tractoring behaviors is available to field personnel as a part of the job design. Digital telemetry may not be available for wireline tractor tools. A conveyance system with programmable behaviors allows downhole navigation when conventional telemetry is nonexistent or has prohibitively low bandwidth or a protocol conflict, which is relevant in configurations with third-party tools. The presented control technology utilizes downhole on-board measurements with tracking and decoding of head voltage waveforms where electrical power is supplied by the surface system. Voltage is set by an operator to fall into one of several predefined bands representing specific tool commands that trigger a set of robotic sequences. The logging cable can be freed to carry a high-frequency communication signal to payload tools while powering both the tractor and its payload. Although the tractor does not have feedback through its telemetry data, tractor operational condition can be derived from the variations of electrical current measured at surface. A head voltage stabilization system along with a load calibration method compensates voltage fluctuations due to load changes and losses in the logging cable. An advanced signal-processing algorithm implemented in downhole embedded software quantizes denoised voltage and reliably maps it to operational bands, effectively eliminating transient processes resulting from high-power jobs. The voltage estimation technique supports a finite set of commands to be interpreted by the downhole tools and to activate control logic implemented as scripted state machines with a core based on the deterministic finite automaton concept. Behaviors scripted and parametrized by an operator in custom metalanguage use a dictionary of actions and conditions provided by the embedded software that runs the tools. Controllers may be designed and put into action by nonprogrammers to solve restriction navigation needs for a known well completion. The availability of design and simulation software aids job planning. Multiple tractor configurations with individually controlled arms were successfully tested at locations in the USA and Eurasia, with and without third-party tools with their own telemetry. Reliable restriction navigation using preprogrammed behaviors controlled by voltage levels has been demonstrated. The design opens development opportunities for other semi-autonomous downhole applications. Run-time pattern recognition of electrical current in the software enables further automation of the surface power system to drive the downhole navigation, detect and respond to anomalies, and reliably manipulate voltage transitions. The presented technology removes the compatibility barrier between different telemetry systems and elevates flexibility of systems lacking telemetry while preserving their usability and robustness.
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