A parameter optimization method for oil spill simulation driven by dynamic remote sensing data

Abstract

The invention discloses an oil spilling simulation parameter optimization method based on dynamic remote sensing data driving. The method includes the following steps of 1, the oil spilling information remote sensing retrieval process, 2, the ECOM oil spilling simulation process, 3, the comparison and verification process of a remote sensing retrieval result and an ECOM simulation result, 4, the data integration and optimization process, and 5, the system feedback and parameter optimization process. The method has the advantages that the dynamic data driving thought is introduced, an oil spilling simulation result is verified and optimized through remote sensing retrieval oil spilling information, oil spilling simulation initial parameters are optimized through the BP neural network model parameter training and predication processes, a dynamic feedback adjusting system is formed by remote sensing monitoring and oil spilling simulation, and the accurate oil spilling dispersion motion trend is acquired through predication.

Description

technical field [0001] The invention relates to an oil spill simulation technology driven by dynamic remote sensing data, in particular to an oil spill simulation parameter optimization method driven by dynamic remote sensing data. Background technique [0002] On June 4 and 17, 2011, two oil spills occurred in the Penglai 19-3 Oilfield. The Penglai 19-3 Oilfield oil spill was the first large-scale submarine oil well spill in mainland China in recent years. According to the statistics of ConocoPhillips China Co., Ltd., a total of about 700 barrels of crude oil leaked to the surface of the Bohai Sea, and about 2,500 barrels of mineral oil oil-based mud leaked and deposited on the seabed. The accident has polluted 5,500 square kilometers of seawater, roughly equivalent to 7 percent of the Bohai Sea, the State Oceanic Administration said. [0003] In view of the frequent occurrence of marine oil spill accidents, which have caused serious harm to the environment of public water...

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Problems solved by technology

However, marine oil spill accidents have complex occurrence, development and evolution mechanisms, and there are also secondary disasters and disaster coupling problems; affected by the characteristics of nonlinearity, time-varying, multi-variable and uncertainty of the system, it is difficult to The analytical model and simulation model analyze and predict the complex behavior in the oil spill emergency system; and the current simulation model mainly relies on historical accident data and experience to assume the initial parameters for simulation analysis, and cannot use the real-time observation data in the emergency system to improve the simulation model. predictive accuracy

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