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首页> 外文会议>Offshore Mediterranean Conference and Exhibition >NEXT GENERATION INSPECTION (NGI): DIGITAL TOOLS TO BRING VALUE ALONG THE PROJECT VALUE CHAIN. EARLY EXPERIENCES AND RESULTS WITH REMOTE INSPECTIONS AND DATA MINING
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NEXT GENERATION INSPECTION (NGI): DIGITAL TOOLS TO BRING VALUE ALONG THE PROJECT VALUE CHAIN. EARLY EXPERIENCES AND RESULTS WITH REMOTE INSPECTIONS AND DATA MINING

机译：下一代检验（NGI）：数字工具沿着项目价值链带来价值。利用远程检查和数据挖掘的早期经验和结果

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Inspections represent a traditional, consolidated activity in Oil & Gas. During the years, the Industry tried to replace the extensive use of inspections with other activities: quality management systems, manufacturing process auditing, etc., to reduce the impact, sometime considered 'extensive' in time and costs. Nevertheless, inspections are still considered not-replaceable to provide the confidence about the quality level. The recent increased pressure on cost-reduction while maintaining/improving the quality, require to develop different methodologies. The tools and techniques available as part of NGI, in author’s opinion, help to maintain quality expectations and drive inspections with a significant cost reduction. This paper describes results gained from experiences with some new techniques available for Vendor Surveillance: Remote Inspections and Data Mining. Remote Inspections (RI): move from physical presence to remote connection. it can be delivered through various technologies but basically improve the efficiency, reducing downtime and expenses while ensure the most adequate competences according to the specific needs and increase flexibility. The activity will still be performed via competent/qualified resources who will be remotely connected to site only when required – and consequently, performed in actual hours - allows multiple connections (subject experts, customer representative, etc.) maintaining full contact and communication with vendors on site, and finally provide better deliverable. RI brings several benefits to projects: minimize H&S risk exposure, reduce inspection downtime and inspection time, minimizing inspection and travel costs for all the parties involved, allow activity recording (if required). Data Mining (DaMi): re-use projects data, experiences and lessons learnt in structured way. It is a tool, based on specific algorithm, which enable historical data to be gathered and analysed to produce valuable information to engineering and procurement phases, helping project team to take decisions based on real data. Equipment & Supplier’s historical data, are used to assess the manufacturers and contribute to reduce the probability of failure and where is advisable to increase (or reduce) the inspection effort. The data captured, help to discover information about equipment types, vendor locations, findings, criticalities, NC, etc. Practical examples and results from recent experiences show the advantages from this approach and the potential savings without compromising the effectiveness of the inspection process. Data from thousands of activities have been analysed with DaMi and comparison at the same time and location with traditional inspection and RI have been also performed confirming the validity of the proposed approach.
机译：检查代表石油和天然气的传统综合活动。多年来，该行业试图取代与其他活动的广泛使用检查：质量管理系统，制造过程审计等，以减少影响，有时候被认为是“广泛”的时间和成本。尽管如此，检查仍被认为是不可替代的，以便对质量水平提供信心。近期增加了成本降低的压力，同时保持/提高质量，需要开发不同的方法。作为NGI的一部分提供的工具和技术，在作者的意见中，有助于维护优质期望和推动检查，以重大成本降低。本文介绍了从供应商监视的一些新技术的经验中获得的结果：远程检查和数据挖掘。远程检查（RI）：从物理存在移动到远程连接。它可以通过各种技术提供，但基本上提高了效率，减少了停机时间和费用，同时确保了根据具体需求的最佳能力，并提高了灵活性。该活动仍将通过唯一的资源来执行，这些资源仅在需要时远程连接到现场 - 而且因此，在实际工作时间执行 - 允许多个连接（主题专家，客户代表等）保持完全联系和与供应商进行沟通在现场，最后提供更好的交付能力。 RI为项目带来了几个好处：最大限度地减少H＆S风险曝光，减少检查停机时间和检验时间，最大限度地减少所涉及各方的检查和旅行费用，允许活动录制（如果需要）。数据挖掘（Dami）：以结构化方式重新使用项目数据，经验和经验教训。它是一种基于特定算法的工具，它能够收集和分析历史数据，以向工程和采购阶段产生有价值的信息，帮助项目团队根据真实数据采取决策。设备和供应商的历史数据，用于评估制造商并有助于降低失败的可能性以及建议增加（或减少）检查工作。捕获的数据有助于发现有关设备类型，供应商位置，调查结果，关键性，NC等的信息。最近经验的实际示例和结果表明了这种方法的优势以及潜在的节省而不会影响检查过程的有效性。已经通过Dami和比较分析了来自数千个活动的数据，同时与传统检查和RI的位置也得到了确认所提出的方法的有效性。

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