Scheduling Scheme Optimization for Emergency Resources on a Deep-sea Considering Environmental Impacts

Abstract

An efficient and timely emergency response to a major accident is more challenging for the exploration and utilization of deep-sea oil and gas fields due to harsh external environment factors. An optimal solution is needed to tackle the external environment changes in the demand for emergency resources. To effectively balance emergency response time and the satisfaction of resource scheduling quantity, this paper proposes a multiple rescue points and multi-objective optimization model to address such challenges. Such model takes into account the environment factors involving wind speed and wave height caused by the variability of the deep-sea monsoon climate. Additionally, to handle the uncertainty of the resource demand at the accident sites, a linear programming and heuristic hybrid algorithm is proposed to help decision makers select the ideal routes and minimal scheduling time of deep-sea emergency resources, as well as the optimal operation season. A case study of a blowout accident is conducted to demonstrate the application of the proposed model and the real-world implications.

Design and Application of Vague Set Theory and Adaptive Grid Particle Swarm Optimization Algorithm in Resource Scheduling Optimization

“…In order to reduce the impact of disasters and provide rapid and effective response for emergency rescue after disasters, many researchers have proposed different emergency decision-making models combined with the rapidly developing intelligent neural network algorithm. Kemball Cook et al [8][9][10] proposed targeted management of the supply and transportation of emergency resources, however, due to technical reasons, the transportation optimization model can only achieve the optimization of a single objective, which is difficult to meet the actual demand; Wang et al [11] took deepsea emergency resources as an example to study the optimization of deep-sea emergency resource scheduling scheme with environmental impact, although this model can effectively solve the optimization problem of deep-sea emergency resource scheduling scheme, it does not promote the relevant model; Liu et al [12] established an emergency resource scheduling model with the minimum time and cost as the multi-objective; Jiang [13] established an emergency material vehicle scheduling model by considering the transportation time, road traffic degree and material scheduling demand; Wang [14][15][16] et al proposed a mathematical model, which proposed a centralized scheduling scheme to reduce the time delay in emergency resource scheduling, and arrange limited resources as much as possible for better application. Huang [17] proposed a mixed optimization model, and proposed a fast optimization algorithm for this model, and applied this algorithm to a scheduling scheme of emergency materials, making the limited resources more reasonable.…”