Simulation and assessment of SO2 toxic environment after ignition of uncontrolled sour gas flow of well blowout in hills.
To study the sulfur dioxide (SO(2)) toxic environment after the ignition of uncontrolled sour gas flow of well blowout, we propose an integrated model to simulate the accident scenario and assess the consequences of SO(2) poisoning. The accident simulation is carried out based on computational fluid dynamics (CFD), which is composed of well blowout dynamics, combustion of sour gas, and products dispersion. Furthermore, detailed complex terrains are built and boundary layer flows are simulated according to Pasquill stability classes. Then based on the estimated exposure dose derived from the toxic dose-response relationship, quantitative assessment is carried out by using equivalent emergency response planning guideline (ERPG) concentration. In this case study, the contaminated areas are graded into three levels, and the areas, maximal influence distances, and main trajectories are predicted. We show that wind drives the contamination and its distribution to spread downwind, and terrains change the distribution shape through spatial aggregation and obstacles. As a result, the most dangerous regions are the downwind areas, the foot of the slopes, and depression areas such as valleys. These cause unfavorable influences on emergency response for accident control and public evacuation. In addition, the effectiveness of controlling the number of deaths by employing ignition is verified in theory. Based on the assessment results, we propose some suggestions for risk assessment, emergency response and accident decision making.
Department of Safety Engineering, China University of Petroleum, Dongying 257061, China.
Yuan
Y
Zhu
Guo-ming
GM
Chen
D000062:Accidents, Occupational; D000393:Air Pollutants / Q000032:analysis / Q000633:toxicity*; D000465:Algorithms; D002959:Civil Defense; D003198:Computer Simulation; D004305:Dose-Response Relationship, Drug; D005579:Fossil Fuels / Q000032:analysis*; D005740:Gases / Q000032:analysis; D006801:Humans; D008962:Models, Theoretical; D010578:Petroleum; D012984:Software; D013458:Sulfur Dioxide / Q000032:analysis / Q000633:toxicity*; D014919:Wind
D000393:Air Pollutants; D005579:Fossil Fuels; D005740:Gases; D010578:Petroleum; D013458:Sulfur Dioxide