Process Analysis Of Emergency Escape,Evacuation,Rescue And Research On The Resource Scheduling Of Offshore Platform

As offshore oil and gas development to deepwater,the safety of personnel on offshore platforms is facing more severe threats,especially in the event of uncontrollable accidents.Because the platforms are far away from the land,the emergency measures may not be timely and the consequences are difficult to predict.In order to ensure the safety of personnel,it is necessary to establish an EER(escape,evacuation,rescue)mechanism with the characteristics of offshore oil industry,so as to provide the final guarantee for the personnel in the critical moment.From the perspective of the platform system and external assistance forces,this paper carried out researches on EER capacity evaluation,EER process inference,evacuation simulation,EER resource scheduling and emergency rescue force optimization,aiming to improve the effectiveness of EER process.The research progress of this study is summarized as following:Based on the data envelopment(DEA)and grey clustering evaluation method,an evaluation model for the EER capability of offshore platforms under fire was proposed.The index system was constructed from organization construction,emergency plan,training and exercise,early warning ability,escape ability,evacuation ability and rescue ability.DEA was used to objectively determine the index weight value,and grey clustering method was used to cluster analysis the EER capability,so as to reduce the impact caused by incomplete information.The model can be used to evaluate the EER capability of the offshore platform,and the level of the EER capability of the platform can be obtained,and the indicators that need to be strengthened and improved can be found out,so as to provide a good and reliable prerequisite for the EER.In order to quantify the impact of emergency activities on EER of offshore platforms,a Bayesian scenario network model was proposed in this paper.Scenario analysis was used to deduce the EER process and obtain the scenario evolution path,and on this basis,the Bayesian scenario network diagram was constructed.Taking the Deepwater Horizon accident as the background,the feasibility of the model was verified,and some emergency activities were selected to analyze the change of EER probability with different emergency activity states.The results showed that whether to issue the public alarm has the greatest impact on the EER process,followed by whether to take activities according to the emergency plan,whether the external rescue forces launch search and rescue,whether to check and ensure the safety of the decentralized area.Whether there is information transmission between personnel is mainly aimed at the part of personnel with action delay,and has little influence on the whole.Using Any Logic software to simulate the evacuation process of personnel,this paper studied several factors that affect the evacuation process and quantifies their impact on evacuation.The influence of unavailability of escape routes at different locations on evacuation process was analyzed,and more dangerous scenarios were found.The critical velocity was obtained by studying the variation trend of evacuation time with velocity.The influence of different distribution of speed and response time,emergency training on evacuation process was compared and analyzed.Evacuation bottlenecks and deficiencies can be found by quantifying the influence degree of each factor,which can provide scientific guidance for the improvement and perfection of the offshore platform emergency evacuation system,improving evacuation efficiency and reduce emergency evacuation risks.The preferred evacuation means helicopter was taken as the research object,and the most serious scenario(simultaneous EER of offshore platforms under typhoon)was selected as the background.Aiming at minimizing response time and maximizing dispatch efficiency,a helicopter dispatch optimization model was established.Comparing the differences between coordinated and uncoordinated scheduling,the scheduling schemes of different single objectives were optimized.In order to consider multiple objectives comprehensively,the minimization and maximum deviation method was adopted to integrate multiple objectives.Taking personnel evacuation of an offshore platform in the South China Sea as an example,a case study was carried out.The results showed that collaborative scheduling can improve resource utilization.In addition,the model can obtain the scheduling scheme according to different requirements,and provide method support for emergency decision makers in scheduling scheme formulation and selection.Taking emergency rescue as the background,this paper considered evacuations of offshore platform in various forms and falls into the water.According to the drift prediction model,the drift path of the target in distress was studied and the search area was determined.By comparing different objective functions,maximizing the cumulative probability of success and minimizing the number of ships dispatched were selected as the objectives,and the single-objective model and the multi-objective model were constructed to balance the different objectives,so that decision makers can allocate maritime search and rescue resources according to different decision-making needs.The model can help to make search and rescue plan quickly and effectively,assist to build the offshore platform rescue system,and increase the success probability of emergency search and rescue response.