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Intelligent optimization on pressure test for deepwater drilling risers in running
LIU Kang1, CHEN Guoming1, CHANG Yuanjiang1, LIU Lei1, WEN Jihong2, HU Dongxu1
(1.Centre for Offshore Engineering and Safety Technology in China University of Petroleum (East China), Qingdao 266580, China;2.COSL Drilling Division, Sanhe 065201, China)
Abstract:
In the running process of deepwater drilling risers, the auxiliary lines need experience the pressure test to ensure the sealing property of the riser system. In order to ensure the safety and high efficiency of the riser system in running, the timelines evaluation model and the risk calculation model were established respectively, according to the pressure test operating procedures. And an intelligent optimization method was proposed for the riser running pressure test based on the artificial bee colony. The results show that the proposed method has a good performance in the global search and exploration. The pressure test operation carried out based on the optimization results can save considerable drilling costs. With the increase of the reliability, the safety benefit of the riser pressure test declines firstly and then increases. The single seal reliability is a key parameter to determine the number of risers in a pressure test unit. The water depth has a great influence on the pressure test times and safety benefit, but it has little effect on the riser number in a pressure test unit.
Key words:  drilling riser  pressure test  risk decision  entropy theory  artificial bee colony