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	题名	作者	年代	出处	被引量
1	Integrated risk management: a Petrobras application in offshore well construction safety to minimize critical emergency disconnections显示文摘In order to avoid mistakes and to save a great deal of time in analysis, an innovative methodology was developed that can analyze the well operations and rig characteristics involved to define the best emergency disconnect sequence(EDS)available. A solution was developed based on the characteristics of the rigs and blowout preventers(BOPs), and six variables were considered that directly affect the choice of EDS. All possible combinations of 64 scenarios were analyzed,and the priority of choice of the EDS was defined empirically. This paper presents an approach to EDS risk management and examples of exposure time(time without riser safety margin and shear capability) for the same well, which can be lowered from 13% to 0.1%. The impact of this reduction is related to the ability of the BOP to cut some of the heavy casings, in addition to improved availability of EDS modes. This implementation opened up many possibilities for the performance of risk exposure analysis, enabling comparison of several BOP configurations of contracted rigs and selection of the best options. This innovative approach allowed a better management of the rig schedules, prioritizing safety aspects and making it possible to allocate the fleet in a systematic way.	Claudio Benevenuto de Campos Lima Pedro Esteves Aranha Jose Francisco Tebaldi de Castro Gilson Brito Alves Lima Augusto Borella Hougaz Felipe de Souza Terra	2018	Petroleum Science2018，15，2：	1
2	Measuring User Influ- ence in Twitter: The Million Follower Fallacy 显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，10，1017：	1
3	The World of Connections and Information Flow in Twitter显示文摘	Cha Meeyoung Benevenuto Fabrício Haddadi Hamed Gumma-di Krishna		0，，：	1
4	Characterizing User Behavior in Online Social Networks显示文摘	Benevenuto F Rodrigues T Cha M	2009	Proceedings of the 9th ACM SIGCOMM Conference on Intemet measurement confer- ence2009，，：	1
5	Charac- terizing user Navigation and Interactions in Online Social Net- works显示文摘	Fabrtcio Benevenuto Tiago Rodrigues Meeyoung Cha	2012	Journal of Interactive Marketing2012，26，2：	1
6	Measuring User Influence in Twitter: The Million Follower Fallacy 显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，10，1017：	1
7	Measuring user influence in twitter: The million follower fallacy显示文摘	Cha M Haddadi H Benevenuto F	2010	Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media2010，10，：	1
8	Characterizing User Behavior in Online Social Networks显示文摘	Benevenuto F Rodfigues T Cha M	2009	Proceedings of the 9th ACM SIGCOMM Conference on Intemet measurement confer- ence2009，，：	1
9	Characterizing user behavior in online social net- works显示文摘	Benevenuto F Rodrigues T Cha M Almeida V	2009	Acm Internet Measurement Conference2009，，9：	1
10	Measur- ing User Influence in Twitter: The Million Follower Fallacy 显示文摘	Cha M Haddadi H Benevenuto F Gummadi P K	2010	ICWSM2010，10，1017：	1
11	Measuring User Influ- ence in Twitter: The Million Follower Fallacy 显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，，10：	1
12	Measuring user influence in Twitter: the million follower fallacy显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，10，：	1
13	Measuring User Influence in Twitter: The Million Follower Fallacy 显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，1017，：	1
14	Measuring User Influencein Twitter: The Million Follower Fallacy 显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，，10：	1
15	Delayed information cascades in Flickr: Measurement, analysis, and modeling显示文摘	Meeyoung Cha Fabrício Benevenuto Yong-Yeol Ahn Krishna P. Gummadi	2011	Computer Networks2011，，3：	1
16	Measur- ing user influence in Twitter: The million follower fallacy 显示文摘	CHA M HADDADI H BENEVENUTO F	2010	Icwsm'' 10 Proceedings of International Aaai Confer- ence on Weblogs & Social2010，，：	1
17	Characterizing user navigation andinteractions in online social networks 显示文摘	BENEVENUTO F RODRIGUES T CHA M etal	2012	Information Sciences2012，195，7：	1
18	Measuring User Influence in Twitter: The Million Follower Fallacy显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，，：	1
19	Measuring User Influ- ence in Twitter: The Million Follower Fallacy 显示文摘	Cha M Haddadi H Benevenuto F	2010	ICWSM2010，10，1017：	1
20	O- ral pyogenic granuloma: a retrospective analysis of 293 cases in a Brazilian population 显示文摘	Gordon-Nunez MA de Vasconcelos CM Benevenuto TG	2010	J Oral Maxillofac Surg2010，68，9：	1

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