... applicability in O&G facilities. emission air emission methane emission quantification identification improvement climate change combustion efficiency technical guidance document composition methane concentration implementation asset important challenge artificial intelligence ogmp 2...

... traditional survey methods with cutting-edge digital technologies, providing a comprehensive approach towards understanding and managing social risks. Despite challenges, such as language and cultural differences and potential artificial intelligence (AI) model biases, NLP can offer consistent, scalable...

... Abstract This paper discusses how a global energy technology company implemented an artificial intelligence (AI) enabled dashcam initiative to improve identification of high-risk driving behaviors in order to focus on driver coaching efforts to further reduce automotive incident rates...

... solution enhance employee engagement competition artificial intelligence information effectiveness safe step operation personnel retention middle east case study scenario trainee module safety Introduction The aim of this project was to enhance company workforce engagement with HSE...

... point of view to manage driving risks. Artificial intelligence is one of the most successful inventions in this era. Utilizing AI in oil and gas industry is very promising across different processes to improve the way of doing things, improving efficiency, reducing time wasted and providing accurate...

... the cornerstone of identifying and mitigating social risks associated with energy projects. artificial intelligence social responsibility decision-making risk management knowledge management natural language impact assessment dashboard satellite imagery stakeholder engagement sustainability...

..., including application of uncertainty, which is key for transparent, traceable, and credible reporting of methane emissions from oil and gas facilities. artificial intelligence measurement emission reconciliation climate change bu inventory air emission methane emission source-level methane...

... contribute to reduced medical leave in the workplace over time. artificial intelligence wellbeing availability contingency planning workforce implementation implementing workplace health enhancing workforce wellbeing responsibility mhfa information world health organization national...

... the organization's shift towards a reliable safety-focused learning approach. artificial intelligence lfnw hsse reporting incident machine learning example tool investigation seamless synergy exploring learning team normal work interconnection petroleum engineer iogp normal work tool operator...

... to automatically identify potentially dangerous HSE events and send notification in real time to HSE Operator through an AI (Artificial Intelligence) based technology that works with the recorded data and automatic learning to improve the safety of yards, operating sites, vessels, etc. The VAWS system aims...

...Literature Review In recent years, the intersection of artificial intelligence (AI) and healthcare has witnessed significant advancements. Among the notable developments are generative AI models, particularly transformers and diffusion models. These models have revolutionized various aspects...

... manage risk. sustainability unplanned event incident investigation risk management investigation safety social responsibility corrective action validation test riskwashing ritchie corrective action riskwashing identification figure dd artificial intelligence incident consequence...

... as Industry 4.0 or IR 4.0 ( Klaus Schwab, 2016 ). This fourth industrial revolution is manifested by emerging technological advances in the fields of robotics, artificial intelligence, blockchain, nanotechnology, quantum computing, biotechnology, the Internet of Things, 3D printing, materials science, quantum...

... not only mitigate operational risks and enhance their social license to operate but also contribute meaningfully to the transition towards a more sustainable energy future. sustainability sustainable development ga operation artificial intelligence safety operation incident integrity...

... organisations can limit their exposure to these situations. This often entails changes in key performance indicators and contract structures. Novel/Additive Information The paper describes non-obvious managerial solutions to non-compliance. procedure workforce artificial intelligence hudson...

... 2023 / 2024 SPE Distinguished Lecturer presentation. personnel competence people human performance failure unplanned event incident information organizational performance spe international conference artificial intelligence action electrician investigator corrective action corrective...

... Artificial Intelligence + Metal Oxide Sensor (AI/MoS-based) technologies show promise in terms of the relative cost effectiveness, and also quality & completeness of site-level emissions data capture. This paper evaluates several new emissions monitoring technology types for the purpose of selection...

... & conditions and prevent those from becoming incidents. Due to the large volume of data, it was very challenging to analyze and identify trends and common hazards. artificial intelligence data mining hse observation new hse observation standard application dataset model quality petroleum engineer...

... for various camera positioning and data from different locations to account for varying conditions and environments in the company's facilities. The system has been taught to identify the HSE non-conformances and automatically issue alerts or notifications to end users. artificial intelligence...

... integrating hsse into the business workforce sustainability artificial intelligence culture ladder safety culture ladder social responsibility dimension probability incident calculative fashion generative petroleum engineer reactive span interaction westrum proactive Problem statement...