在完整的论文中，作者提出了一种自主定向钻井 (ADD) 框架，该框架使用基于智能规划和执行功能的工业 4.0 平台，并得到地面和井下自动化技术的支持，以实现可远程操作的一致定向钻井操作。该 ADD 框架最大限度地降低了运营风险和每英尺钻孔成本；最大限度地提高绩效和程序的遵守程度；并在各个油田、钻机和轨迹上建立一致的结果。
作者写道，他们发现需要技术来支持钻井过程的各个方面，而不仅仅是井场或井底组件 (BHA) 发生的情况。这意味着重点关注智能规划和智能执行功能，以及地面自动化，以补充导向工具的井下自动化功能套件。上图 1强调了作者所说的 ADD 的四大支柱。
为了连接这些支柱，集成的数据架构至关重要。
In the complete paper, the authors present an autonomous-directional-drilling (ADD) framework using an Industry 4.0 platform built on intelligent planning and execution capabilities and supported by surface and downhole automation technologies to achieve consistent directional-drilling operations accessible for remote operations. This ADD framework minimizes operational risk and cost per foot drilled; maximizes performance and procedural adherence; and establishes consistent results across fields, rigs, and trajectories.
The authors write that they identified a need for technology to support all aspects of the drilling process, not just what happens at the wellsite or the bottomhole assembly (BHA). That meant focusing on intelligent planning and intelligent execution capabilities, along with surface automation that would complement the suite of downhole automation features of the steering tools. Fig. 1 above highlights what the authors term the four pillars of ADD.
To connect these pillars, an integrated data architecture is crucial.
