The Evolution of Asset Management: Harnessing Digitalization and Data Analytics

Author:

Nixon John1,Pena Emil2

Affiliation:

1. Siemens AG

2. Emil Pena Interests, Inc.

Abstract

Abstract 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.

Publisher

OTC

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1. Augmented Asset Management in Railways;Digital Innovations in Architecture, Engineering and Construction;2024

2. Predictive maintenance using digital twins: A systematic literature review;Information and Software Technology;2022-11

3. Digital Twins in the Practice of High-Energy Physics Experiments: A Gas System for the Multipurpose Detector;Sensors;2022-01-16

4. Digital twins in manufacturing: systematic literature review for physical–digital layer categorization and future research directions;International Journal of Computer Integrated Manufacturing;2022-01-13

5. Augmented asset management in railways – Issues and challenges in rolling stock;Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit;2021-09-13

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