... safety midstream oil & gas lopc liquified natural gas lng flowline category incident iogp report 456 machine learning artificial intelligence gas monetization containment member company release category mechanical failure water management upstream oil & gas tier 1 process...

.... Enhancing personal resilience as an important step towards developing organizational resilience may also contribute to the safety culture and safe operations, especially during times of chaos. Artificial Intelligence Hurricane Harvey machine learning contingency planning Health & Medicine...

... Big data processing using Machine learning Communication with other users Augmented Reality takes advantage of virtual objects or information being overlaid over physical objects or environments, resulting in a mixed reality in which virtual objects and real environments coexist...

... to assess whether learning is occurring. This study proposes a model that would allow companies to select appropriate metrics for various aspects of learning from incidents. educational software Artificial Intelligence machine learning educational technology rollenhagen Upstream Oil & Gas...

... accumulation drainage system hydrocarbon machine learning explosion maintenance operation oily water drainage system adnoc gas processing plant Introduction The general effluent sources in oil and gas plants are Rainwater, Fire fighting water, Wash / flush water, Cooling water blowdown / filter...

... demand drilling contractor consumer Energy Management consumption machine learning energy consumption pattern consumption pattern onshore rig management system emission workshop artificial intelligence drawwork Introduction Energy Management: The Standard that Saves The world has...

... learning capabilities—and that van lead to implementing more effective actions. As such it can provide a sound basis for a further reduction of the number of incidents in the petrochemical industry to the ultimate goal: zero.
 machine learning Artificial Intelligence Downstream Oil & Gas...

.... operational safety work planning Artificial Intelligence Upstream Oil & Gas assessment incident machine learning contingency planning safety science identification accident safety performance indicator vehicle road traffic accident Indicator well control annular pressure drilling...

... & Medicine human computer interface operation predictive personal protective equipment interface pppe innovation machine learning safety engineer immunology Introduction The Human Sensory Predictive Personal Protective Equipment (PPPE) System is founded on a plurality of machine, predictive...

... will provide practical insights into what it takes to improve the engagement of leaders for the learning process itself. It will present a number of "I Statements" to help leaders understand what they need to do as part of the change journey to take learning from incidents to the next level. machine...

... "to adapt, compete, excel, innovate, produce, be safe, improve service and reach goals" in a downturn environment ( Salas et al. 2012 ). personnel competence educational technology educational software machine learning educational setting Artificial Intelligence computer based training...

.... Artificial Intelligence sustainability survey data HSSE standard Upstream Oil & Gas machine learning social responsibility sick leave assessment exposure hse factor safety climate different group injury work accident Integrating HSSE into the business norwegian petroleum industry work...

... to the type of practical challenges faced by operational staff in the course of their work. This research process seeks to contribute to fill that gap. social responsibility and development machine learning sustainability metals & mining Upstream Oil & Gas Artificial Intelligence...

... safety science machine learning Upstream Oil & Gas research question search term high risk industry operational safety major accident risk safety indicator vinnem literature review Indicator reliability petroleum industry performance indicator validity safety performance indicator...

... Intelligence Far North machine learning shift period Efficiency maintenance Health & Medicine personal protective equipment evaluation functional status special clothing assessment shift-in period professional activity society of petroleum engineers Upstream Oil & Gas functional state...

... grievance mechanism UNGP human rights mechanism community grievance mechanism machine learning Upstream Oil & Gas remedy engagement stakeholder Implementation corporate framework grievance mechanism stakeholder engagement Ipieca CGM Paper INTRODUCTION The UN Guiding Principles...

... and organizational knowledge and awareness towards major accident risk in normal operation. The paper is written to share experience and get feedback that can enforce this effort. machine learning risk and uncertainty assessment major accident risk personnel competence inductive learning risk picture...

..., multidimensional spill liability regime. Bayesian Inference chemical spill Artificial Intelligence machine learning Cost Element restoration cost potential liability cleanup cost proceedings environmental damage society of petroleum engineers oil spill probability category model user Liability...

... Upstream Oil & Gas intervention intervention culture construction project machine learning transportation safety director meeting incident contractor construction HSE performance ground transportation leadership team Corrib presentation road safety corrib project Artificial...

... senior leaders to frontline workers and contractors. Examples of each of the ten elements will be presented in addition to how employees are benefiting from implementing from each one. machine learning Artificial Intelligence Upstream Oil & Gas well control equipment process safety incident...