risk management

From optimizing drilling performance to enhancing worker safety, computer vision can change how the industry works.

This paper discusses and demonstrates the limitations of quantitative risk assessments (QRA) with respect to the usefulness of the concept in managing day-to-day and emerging risks as well as the effect of change. The paper goes on to discuss improved solution sets compared with pure reliance on QRA.

“Riskwashing” refers to a situation where an organization engages in superficial or insincere actions to create the appearance of addressing a particular risk or issue without actually taking substantive action to address the underlying problem. This paper presents methods to identify and minimize riskwashing as an organizational response to incidents.

This paper presents a method of geomechanical-risk screening and gives examples of its positive effect on the company’s safety standards through implementation of integrated solutions to prevent or mitigate the risks.

This paper presents an integrated view of three key areas of knowledge that typically are addressed individually—cybersecurity, process safety, and human factors—from the perspective of cybersecurity.

This paper outlines how one company uses digital technologies to manage HSE risks in project delivery, developing an artificial intelligence (AI) predictive model to predict HSE risks and incidents based on historical incident data.

A recent report released from the National Academies of Sciences, Engineering, and Medicine shows improvement in measurement and management of systemic risk in Gulf of Mexico oil and gas operations but adds that progress lags in some areas.

This paper details experiences gained while developing a novel technology-driven approach to risk assessment methodologies such as process hazard analysis, hazard identification, and hazard operability in oil and gas.

Risk is a common thread that runs throughout all engineering disciplines. This course aims to present how to understand and identify hazards, analyze risk, and understand the importance of a comprehensive management system.

Vision analytics is being used to extract insight information from video, with data inferred from existing cameras used to create a monitoring dashboard where supervisors can receive alerts at the worksite level or drill down to specific events.