The Research Of Sea Ice Risk Analysis And Management Methods For Structures In Cold Regions

The cold regions which represented by the Arctic are rich in oil and gas resources.It has deadly attraction to all countries of the world,expecially at the time that land oil and gas are increasingly depleted.The exploitation of oil and gas resources in high-cold regions must face with technical difficulties and high risk levels.However our resources development technology in cold regions has lagged far behind the countries in the North Pole and some major countries outside the region.Therefore,the research of resource development equipment that suitable for high latitude cold regions and finding suitable method to manage the sea ice risk in high latitude cold regions have become more and more important.Sakhalin sea area is rich in oil and gas resources,which is one of the focus in China’s overseas oil and gas resource development strategy.But the sea condition in Sakhalin sea area is poor,so the resource development equipments must face with severe examinations in Sakhalin region.In order to safely and efficiently develop oil and gas resources in Sakhalin region,this paper analyses the applicability of jacket structure in Sakhalin sea area which is the most mature technology in the development of oil and gas resources and has been widely used in China.Firstly,this paper specified the ice load conditions that jacket structures may face in Sakhalin region by the way of researching the sea ice parameters in this area.Secondly,this paper analyses the responses of jacket structures under different sea ice conditions and the different structural parameters that may influence Ice-Resistance ability.What’s more,this paper also put forward specific improvement programmes and suggestions for jacket platform’s application in Sakhalin region.Numerical simulation results can only theoretically ensure the safety of the structure.For the better management of sea ice risk,this paper learn from the existing sea ice risk management system in Bohai sea area to build the IoT-based real-time monitoring and risk’s early warning system of sea ice which can be applied to structures in cold regions.Traditional Ice-induced vibration monitoring system has shortcomings of can’t realize data sharing,high space occupation rate,high cost,lack of reliability and low degree of automation.This paper introduces the idea of interconnection and intelligence in Internet of Things to design the IoTbased system for Ice-induced vibration monitoring in offshore platform.The existing sea water temperature monitoring system can’t measure the changement of water depth.To solve the problem,this paper designs IoT-based sea water temperature profile measurement system with the integrated development of hardware and software systems.Through those research,this paper preliminarily builds an IoT-based ice risk management system architecture.At last,in order to predict structure’s potential sea ice risk.This paper grading the sea ice risk that should be faced by pipelines and staffs through field measured data.On this basis,this paper introduced BP neural network method which has the ability of fault tolerant,parallel and self-learning to predict the structure’s sea ice risk.The prediction results show that BP neural network method can better predict the structure’s Ice-induced vibration risk rating and the prediction error meets actual engineering requirements.