Crude-Oil Scheduling Network in Smart Field Under Cyber-Physical System

Abstract

The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a novel smart field cyber-physical system (SF-CPS), which comprises some sensors transmitting real-time sensed information between the marine terminals and the petroleum refinery, and an asset optimization-based decision maker using the pumping schedule to determine the best configuration. From a unique functional unit perspective, the resource allocation of volumes and qualities is implemented with the Dinkelbach method to address this enterprise-wide optimization. Taking advantage of the unloading flows at a low cost, we settle the state variables to the steady process of refinery planning, and then, the next multi-operations sequence follows the tailored outer approximation approach for decomposition to achieve high-cost efficiency. Moreover, the two-phase stochastic scheduling decisions coupled with inventory levels hosted on the SF-CPS platform can cope well with uncertainty in the process between the oil supply and maritime conditions. The experimental results validate the proposed techniques for typical oil and gas resources. INDEX TERMS Cyber-physical system (CPS), smart field, crude-oil scheduling, fractional programming, Dinkelbach method, tailored outer approximation.

A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

“…The use of the I4.0 technologies enable the O&G industry to carry out multi-site remote collaboration, monitor complex reservoir environments, enhance production and maximizing the NPV of cumulative field production. The use of CPS for crude-oil scheduling network for smart field operations was presented in [193] and [194].…”

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“…It contributes to avoiding dangers and helps in detecting if there is any theft or tampering in the oil or gas field. Scientists and researchers have developed various technologies and suggested systems to monitor and protect against attacks, intruders, and risks, that could contribute to developing and improving the efficiency and effectiveness of using IoT in oil and gas field [38][39][40][41][42][43][44][45][46].…”