modeling

This paper aims to close some of the many knowledge gaps that exist in the field of drilling CO₂ storage wells, a task that is expected to involve handling an influx of CO₂ into the drilling fluid.

This paper presents a comprehensive literature review and critical examination of the published modeling and experimental studies regarding the recovery mechanisms of cyclic gas injection and the conditions under which the process can enhance oil recovery with the aim to identify lessons learned and areas in need of further study.

New and evolving artificial lift technology is helping operators improve production rates.

This paper describes a new application that leverages advanced machine-learning techniques in conjunction with metocean forecasts to predict vessel motions and thruster loads.

This paper provides insight into designing advanced well completions offshore West Africa with autonomous inflow control devices that enable maximizing the producing life of the wells under various challenging reservoir conditions.

This paper presents the processes of identifying production enhancement opportunities, as well as the methodology used to identify underperforming candidates and analyze well-integrity issues, in a brownfield offshore Malaysia.

This paper describes installation of autonomous inflow control valves in the Bretaña Norte field in Peru, enabling effective water control even though the trial well was placed in the flank, close to the oil/water contact.

This paper presents a workflow that combines probabilistic modeling and deep-learning models trained on an ensemble of physics models to improve scalability and reliability for shale and tight-reservoir forecasting.

One hydraulic fracturing job can stimulate two wells, but economic success hinges on doing it in the right place for the right price.

Collaboration agreement lays foundation for advancing tech and know-how for harsh environment operations.