资产管理的演变:利用数字化和数据分析

J. Nixon, Emil Pena
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引用次数: 9

摘要

为复杂的油气项目(每个项目都是独一无二的)承保昂贵的保险,需要根据长期存在的标准,对众多因素进行仔细的风险评估。但目前尚未考虑的两个风险缓解因素是:(a)提高业务能见度;(b)通过当今先进的资产管理技术,预测性维护成为可能。这些技术包括数字孪生、数据分析和安全的物联网(IoT)连接。有了这些技术,勘探开发公司现在可以更好地量化不幸事件的概率,降低风险,改善HSE状况,并有可能降低保险费用。事实上,一家E&P OEM使用数字化技术更好地量化与项目错误和遗漏相关的风险,从而从其保险公司(世界上最大的保险公司之一)那里减少了75万美元的保费。
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The Evolution of Asset Management: Harnessing Digitalization and Data Analytics
Underwriting the costly insurance of complex oil and gas projects — with every one unique — requires careful risk assessment of numerous factors via long-standing criteria. But two risk-mitigation factors not currently considered are (a) the increased operational visibility; and (b) predictive maintenance made possible by today’s advanced asset management technologies. Those technologies include the digital twin, data analytics, and secure Internet of Things (IoT) connectivity. With these technologies, E&P operators can now better quantify the probabilities of untoward events and mitigate their risks, improving their HSE posture, and potentially reducing the cost of their insurance premiums. In fact, one E&P OEM using digitalization to better quantify risks related to project errors and omissions led to a $750,000 premium reduction from its insurer, one of the world’s largest insurance companies.
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