Human Factors and Non-Technical Skills: Towards an Immersive Simulation-Based Training Framework for Offshore Drilling Operations

2019 ◽  
Author(s):  
Raj Kiran ◽  
Seyed Ali Naqavi ◽  
Saeed Salehi ◽  
Catalin Teodoriu
Keyword(s):  
Human Factors ◽  
Technical Skills ◽  
Offshore Drilling ◽  
Simulation Based ◽  
Drilling Operations

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
Keyword(s):  
Content Analysis ◽  
Process Safety ◽  
Offshore Drilling ◽  
Simulation Based ◽  
Drilling Operations

Modeling the effects of behavior moderators for simulation-based human factors design

2007 ◽  
Author(s):  
W. Scott Neal Reilly ◽  
John Bachman ◽  
Karen A. Harper ◽  
Stephen Marotta ◽  
Jonathan Pfautz
Keyword(s):  
Human Factors ◽  
Simulation Based

Identifying technical skills and clinical procedures in surgery for a simulation-based curriculum: a national general needs assessment

2021 ◽  
Author(s):  
Rune Dall Jensen ◽  
Charlotte Paltved ◽  
Claudia Jaensch ◽  
Jesper Durup ◽  
Randi Beier-Holgersen ◽  
...  
Keyword(s):  
Needs Assessment ◽  
Technical Skills ◽  
Clinical Procedures ◽  
Simulation Based

Use of simulation-based training of surgical technical skills among ENTs: an international YO-IFOS survey

2021 ◽  
Author(s):  
Valentin Favier ◽  
Tareck Ayad ◽  
Fabian Blanc ◽  
Nicolas Fakhry ◽  
Steven Arild Wuyts Andersen
Keyword(s):  
Technical Skills ◽  
Surgical Technical ◽  
Simulation Based

Do Different Roles of Anesthesia Residents Improve Knowledge Retention after Non-Technical Skills Workshop?

2021 ◽  
Vol 104 (9) ◽  
pp. 1519-1527
Keyword(s):  
Test Scores ◽  
Linear Regression Analysis ◽  
Technical Skills ◽  
Knowledge Retention ◽  
University Hospital ◽  
Multivariate Linear Regression Analysis ◽  
Simulation Based ◽  
Post Test ◽  
Anesthesia Residents ◽  
Predictors Of Change

Objective: The authors assessed whether anesthesia residents who acted as a scenario creators would have better knowledge retention than their juniors 90 days after participating in a simulation-based anesthetists’ non-technical skills (ANTS) workshop. Materials and Methods: A prospective observational study via simulation ANTS workshop was conducted at a university hospital in southern Thailand in November 2017. Seven third-year post-graduate (PGY-3) residents volunteered as scenario creators, while the remaining anesthesia residents were randomly selected to participate in or observe three case scenarios, which were cardiac arrest, hypotension, and difficult ventilation. Resident’s knowledge was assessed before, immediately after, and 90 days after the workshop using a 20-item multiple-choice questionnaire. Predictors of change in knowledge scores were analyzed using multivariate linear regression analysis and presented as beta coefficient (β) and 95% confidence limits (CL). Results: Twenty-four anesthesia residents were recruited in the present study and included eight PGY-1, seven PGY-2, and nine PGY-3. The roles consisted of seven scenario creators, seven participants, and 10 observers. The overall immediate post-test and 90-day post-test scores increased significantly compared to the pre-test scores with a mean of 15.5 and 13.2 versus 11.7 (p<0.001 and p=0.007, respectively). The predictors of change in 90-day scores were PGY-3 versus PGY-1 (β 95% CL 4.0 [0.5 to 7.6], p=0.039), and role of participants and observers versus scenario creator (β 95% CL 5.5 [2.2 to 8.8] and 6.7 [2.8 to 10.6], p=0.004, respectively). Conclusion: Anesthesia residents who were participants or observers could improve their knowledge 90 days after a simulation-based ANTS workshop without necessarily being a scenario creator. Keywords: Anesthetists’ non-technical skill; Knowledge retention; Scenario creator; Simulation workshop

A Study on the Main Parameters That Affects the Reliability of Fatigue Failure in a Marine Drilling Riser

2021 ◽  
Author(s):  
Bruno Luiz Barbosa das Chagas ◽  
Celso Kazuyuki Morooka
Keyword(s):  
Fatigue Damage ◽  
Fatigue Failure ◽  
Petroleum Reservoirs ◽  
Offshore Drilling ◽  
Deepwater Drilling ◽  
Sea Bottom ◽  
Reliability Method ◽  
Drilling Operations ◽  
Maritime Operations ◽  
Sea Currents

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.

scholarly journals P65 Using simulation-based learning to provide an introduction to human factors

2019 ◽  
Author(s):  
Prateek Nalwaya ◽  
Gregory Oxenham ◽  
Luke McGeoch ◽  
Philippa Clery ◽  
Emma Sewart ◽  
...  
Keyword(s):  
Human Factors ◽  
Simulation Based
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