哈里伯顿钻井系统与自动化总监莫雷·莱恩表示，在将现场数据接收并传输到存储和分析系统时，相关的工作流程常常被忽视。这会导致数据排序效率低下，并造成数据价值损失。在3月16日于德克萨斯州加尔维斯顿举行的2026年IADC/SPE国际钻井大会上，莱恩先生在一段视频中探讨了数据管理中的关键考量因素，以确保数据的透明性、动态性、可用性和互操作性。

他还探讨了使用数据网格架构的优势。数据网格架构是一种去中心化框架，它将数据所有权从中央平台转移到分散的多功能域。莱恩先生是在会议召开前的一个研讨会上发表上述讲话的，该研讨会由SPE钻井系统先进技术分会和国际钻井承包商协会（IADC）先进钻机技术委员会联合主办。

When it comes to receiving and transmitting field data into storage and analytics systems, the workflow around that process is often overlooked, says Moray Laing, Director of Rig Systems and Automation at Halliburton. That can lead to inefficient sorting and loss of data value. In this video from the 2026 IADC/SPE International Drilling Conference in Galveston, Texas, on 16 March, Mr Laing talked about key considerations in data management to ensure the data is transparent, dynamic, usable and interoperable.

He also discussed the benefits of using a data mesh architecture, which is a decentralized framework that shifts data ownership from a central platform to decentralized, multi-functional domains. Mr Laing spoke at a workshop preceding the conference co-hosted by SPE’s Drilling Systems Advancement Technical Section and the IADC Advanced Rig Technology Committee.