Using content analysis through simulation-based training for offshore drilling operations: Implications for process safety

2019 ◽  
Vol 121 ◽  
pp. 290-298 ◽  
Author(s):  
Syed Ali Mehdi Naqvi ◽  
Muhammad Raza ◽  
Vincent T. Ybarra ◽  
Saeed Salehi ◽  
Catalin Teodoriu
2018 ◽  
Author(s):  
Saeed Salehi ◽  
Raj Kiran ◽  
Jiwon Jeon ◽  
Ziho Kang ◽  
Catalin Teodoriu ◽  
...  

2021 ◽  
Author(s):  
Bruno Luiz Barbosa das Chagas ◽  
Celso Kazuyuki Morooka

Abstract Advances in subsea exploration in the oceans to discover new petroleum reservoirs and sometimes different kind of minerals at the seabed in ultra deepwater, continuously introduce new challenges in offshore drilling operations. This motivates the development of increasingly safe maritime operations. In offshore petroleum, a marine drilling riser is the pipe that connects a wellhead at the sea bottom to a drillship at the sea surface, as an access to the wellbore. It serves as a guide for the drilling column with the drill bit and conductor to carry cuttings of rock coming from the wellbore drilling and its construction. Drilling riser is constantly exposed to adversity from the environment, such as waves, sea currents and platform motions induced by waves. These elements of the environment are prevailing factors that can cause a riser failure during deepwater drilling operations with undesirable consequences for the environment. In the present work, key parameters that influence the probability of fatigue failure in a marine drilling riser are identified, and a parametric evaluation with those parameters are carried out. Dynamic behavior of a riser is previously calculated and fatigue damage is estimated. Afterwards, the First Order Reliability Method (FORM) is applied to determine the probability of fatigue failure on the riser. Fundamentals of the procedure are described, and results are illustrated through the analysis for a typical riser in deepwater drilling operation. Parametric evaluations are done observing points considered as critical along the riser length, and looking to the sensitivity of key parameters in the process. For this study, the SN curve from API guidelines is applied and accumulated fatigue damage is estimated from simulations of the stress time series and applying the Palmgren-Miner’s rule. Finally, the influence of each parameter in the reliability of fatigue failure is verified and discussions given.


2016 ◽  
Author(s):  
Alfred Enyekwe ◽  
Osahon Urubusi ◽  
Raufu Yekini ◽  
Iorkam Azoom ◽  
Oloruntoba Isehunwa

ABSTRACT Significant emphasis on data quality is placed on real-time drilling data for the optimization of drilling operations and on logging data for quality lithological and petrophysical description of a field. This is evidenced by huge sums spent on real time MWD/LWD tools, broadband services, wireline logging tools, etc. However, a lot more needs to be done to harness quality data for future workover and or abandonment operations where data being relied on is data that must have been entered decades ago and costs and time spent are critically linked to already known and certified information. In some cases, data relied on has been migrated across different data management platforms, during which relevant data might have been lost, mis-interpreted or mis-placed. Another common cause of wrong data is improperly documented well intervention operations which have been done in such a short time, that there is no pressure to document the operation properly. This leads to confusion over simple issues such as what depth a plug was set, or what junk was left in hole. The relative lack of emphasis on this type of data quality has led to high costs of workover and abandonment operations. In some cases, well control incidents and process safety incidents have arisen. This paper looks at over 20 workover operations carried out in a span of 10 years. An analysis is done on the wells’ original timeline of operation. The data management system is generally analyzed and a categorization of issues experienced during the workover operations is outlined. Bottlenecks in data management are defined and solutions currently being implemented to manage these problems are listed as recommended good practices.


2020 ◽  
Vol 8 (2) ◽  
pp. 13
Author(s):  
Mari Helena Salminen-Tuomaala

Objective: To examine how simulation coaching affects emotional intelligence (EI) skills and situational awareness in social and healthcare staff of small and medium-sized enterprises.Methods: This qualitative study involved 36 mental health and child protection professionals in five enterprises. Following simulation-based coaching interventions centered around the development of EI and situational awareness, the participants wrote essays on their development. Inductive content analysis was used to analyze the body of material.Results: The participants found simulation coaching an effective method for learning EI, situational awareness and teamwork skills. They also considered the scenarios and shared reflections to be a form of work supervision.Conclusions: Simulation coaching offers potential for the development of EI and situational awareness in mental health and child protection professionals.


2019 ◽  
Vol 146 ◽  
pp. 1072-1082 ◽  
Author(s):  
Jarol R. Miranda-Andrades ◽  
Sarzamin Khan ◽  
Carlos A.T. Toloza ◽  
Roberta M. Maciel ◽  
Rainério Escalfoni ◽  
...  

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