Drilling
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.
Ginger is among the 10 upstream projects that BP plans to bring on-stream by 2027 after resetting its strategy to raise oil and gas investments to $10 billion per year.
SLB will use artificial intelligence-based software to help ensure the delivery of 18 ultradeepwater wells.
-
Launch of development drilling marks a new milestone as Romania aspires to become EU’s largest gas producer. -
To enable a fully interventionless approach, a barrier-rated tubing-hanger valve has been developed to eliminate slickline intervention and minimize associated risks and operational time.
-
This paper describes an intelligent completion system in the context of multiple wells that, by electrifying the process, replaces the conventional electrohydraulic systems that have been in use for decades.
-
New case studies highlight how artificial intelligence, advanced hardware, and innovative business models are enabling success in drilling automation.
-
This paper evaluates the effect of rapid cooling on the rock-cutting process and incorporates this effect as a component of drilling-performance optimization.
-
This paper discusses the development of a multientry, multistage fracturing system and its advantages over traditional openhole multistage fracturing solutions.
-
In a deal described as possibly "one of the most important transactions BP has done in 20 years" by CEO Murray Auchincloss, the company has agreed contractual terms with the Iraqi government to invest in drilling and infrastructure to rehabilitate and boost production at the Kirkuk oil field.
-
Soft demand and mounting stacking costs drove decisions by Noble and Valaris to move on from units.
-
This paper proposes a methodology for preventing drillstring fatigue and failure in deep wells with large shallow doglegs.
-
In this paper, the authors propose a regression machine-learning model to predict stick/slip severity index using sequences of surface measurements.
Page 1 of 91