risk assessment

This comprehensive review of stuck pipe prediction methods focuses on data frequency, approach to variable selection, types of predictive models, interpretability, and performance assessment with the aim of providing improved guidelines for prediction that can be extended to other drilling abnormalities, such as lost circulation and drilling dysfunctions.

This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.

A recent study highlights the major challenges the technology faces as operators consider the pros and cons of using additive manufactured parts in a corrosion-prone environment.

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 analyzes a 2021 merger to understand the distinct advantages gained from applying a probabilistic approach to the financial analysis of mergers, acquisitions, and divestitures.

This paper presents three examples covering both gas and oil fields at different stages of their lives that show how estimated ultimate recovery (EUR) and the corresponding range of EUR uncertainty varies over the life of each field.

This paper delves into the evolving landscape of drilling automation, emphasizing the imperative for these systems to go beyond novelty and deliver quantifiable financial value.

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.