Technical Research on Digital Twin of Oil Rig Winch

Aiming at the problems of high failure rate and difficulty in predicting the failure of oil rig winch during operation, this paper proposes a digital twin model construction method based on the idea of digital twin. From the physical entity establishment, twin model establishment, operation on data acquisition, model real-time drive, model verification and real-time feedback adjustment steps to realize the virtual reality interaction between the physical entity and digital twin winch. Finally, it can realize the visual monitoring and prediction of the oil rig winch fault. Ensure timely troubleshooting and predictive maintenance of the winch’s life cycle data management to improve the overall automation level of drilling operations.

I. Introduction

In recent years, digital twin technology has become a research hotspot for scholars, research institutions and enterprises at home and abroad, and Gartner, the world's most authoritative research and consulting firm, has listed digital twin as one of the top 10 strategic technology trends for four consecutive years since 2016. Recently, Global Data, a leading data analytics firm, released the report "Digital Twins in the Oil and Gas Industry," which shows that the oil and gas industry has lagged relatively behind in the adoption of digital technologies, but the industry is now increasingly adopting digital twins to improve decision-making. "Newer oil and gas projects such as Statoil's Johan Sverdrup or BP's Clair Ridge are becoming benchmarks for the adoption of digital twin," said Ravindra Puranik, an oil and gas analyst at the firm. "Companies such as Shell, Chevron and Petrobras are initiating the deployment of digital twins in their global portfolios. With strong support from oilfield technology and service companies, the digital twin could become a pillar of oil and gas operations in the coming years [1]."