DSDE: In Theory

This paper describes the current challenges faced by energy companies, the implications of observable industry trends, the characteristics that potential cybersecurity solutions must meet, and how artificial intelligence (AI) and machine learning (ML) can meet these requirements.

The advantages of merging the realms of information technology (IT) and operational technology (OT) are obvious: cost reduction, improved capabilities, and greater efficiency. These advantages, however, come with a cost because they have affected the way that industrial control systems operate and have increased the exposure of industrial control systems to cyber risk…

An integrated multidisciplinary work flow can improve the assessment of pipeline slugging fatigue for offshore field developments.

This paper presents an integrated work flow to model mechanical properties at sufficiently high resolution to honor accurately rock fabric and its effects on height and complexity and, thus, production.

In this paper, alternative approaches to solids characterization are presented that lend themselves better to automation and real-time monitoring than API retort measurement.

In the authors’ study, a machine-learning predictive model—boosted decision tree regression—is trained, tested, and evaluated in predicting liquid holdup in multiphase flows in oil and gas wells.

Intellilift and Transocean are working together on a software solution to expedite the well construction process.

Innovative oil and gas companies are leveraging blockchain, but the industry as a whole may be slow to adopt the technology.

The authors describe an integrated geological-engineering data-management project covering all aspects of well-engineering work flows.

This paper presents a comprehensive comparison of two modeling-based approaches of fluid tracking for condensate allocation and gas usage.