eDrilling Used on Ekofisk for Real-Time Drilling Supervision, Simulation, 3D Visualization and Diagnosis

Rommetveit, Rolv; Bjorkevoll, Knut Steinar; Odegaard, Sven Inge; Herbert, Mike; Halsey, G. W.; Kluge, Roald; Korsvold, Torbjorn

doi:10.2118/112109-ms

Cited by 23 publications

(7 citation statements)

References 2 publications

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“…New systems for monitoring operations will detect deviations that occur, or give warnings before they occur. Automation will, to some extent, substitute human reasoning and action and standardise operations so that they are performed consistently and within safe operations windows (Iversen et al 2006(Iversen et al , 2007Rommetveit et al 2004Rommetveit et al , 2008.…”

Section: Shared Understanding and Integrated Operationsmentioning

confidence: 99%

Chasing shared understanding in drilling operations

Haavik

2010

Cogn Tech Work

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Lack of shared understanding is frequently found to be the main cause when accidents are investigated. Still, few studies explicitly explore and document the causal effects of shared understanding in successful work. Thus, the attribution of insufficient shared understanding as an accident cause lacks the substantiation of shared understanding as a contributor to successful work. In this article a case of measurement discrepancies in an offshore drilling operation is studied, and in the elaboration of the case shared understanding is found not to qualify as a condition with significant impact on the collaborative work. One important reason for this is the epistemological inadequacy of the different concepts of shared understanding. Although more critical research on shared understanding is needed before one can conclude more generic on this topic, the findings are important to the current development of Integrated Operations where shared understanding is pointed out as an important target area. Keywords Shared understanding Á Coordination Á Cooperative work Á Distributed cognition Á Integrated operationsA scene from an offshore drilling operation: at two different stages of the operation, the measurements of the same depth show different results. Due to different types of risks and success criteria, the significance of the depth measurement reliability is different in the short and the long time perspective. The relevant time perspective also differs for the actors involved; while the drilling engineers have a short time perspective and are willing to accept an accuracy in the range of decimetres, the reservoir engineers have a longer time perspective and require less uncertainty of measurements. What role does shared understanding between the actors play in such a situation?

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Section: Shared Understanding and Integrated Operationsmentioning

confidence: 99%

Chasing shared understanding in drilling operations

Haavik

2010

Cogn Tech Work

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“…This will reduce the need 1 ConocoPhillips Norway for manual bit depth corrections to a minimum, which is important to avoid transient responses from dynamic models. The nominal depth is checked vs. changes in hook position when not in slips.…”

Section: Real Time Modelingmentioning

confidence: 99%

“…1. Some of this variation is due to variations in the formation parameters and some is due to variation in the drilling parameters.…”

Section: Rop Monitoringmentioning

confidence: 99%

Automatic Real-Time Drilling Supervision, Simulation, 3D Visualization and Diagnosis on Ekofisk

et al. 2008

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eDrilling is a new and innovative system for real time drilling simulation, 3D visualization and control from a remote drilling expert centre. The concept uses all available real time drilling data (surface and downhole) in combination with real time modeling to monitor and optimize the drilling process. This information is used to visualize the wellbore in 3D in real time. eDrilling has been implemented in an Onshore Drilling Center in Norway. The system is composed of the following elements, some of which are unique and ground-breaking:• An advanced and fast Integrated Drilling Simulator which is capable to model the different drilling sub-processes dynamically, and also the interaction between these sub-processes in real time.• Automatic quality check and corrections of drilling data; making them suitable for processing by computer models • Real time supervision methodology for the drilling process using time based drilling data as well as drilling models / the integrated drilling simulator • Methodology for diagnosis of the drilling state and conditions. This is obtained from comparing model predictions with measured data.• Advisory technology for more optimal drilling. • A Virtual Wellbore, with advanced visualization of the downhole process.• Data flow and computer infrastructure eDrilling has been implemented in an Onshore Drilling Center on Ekofisk in Norway. The system has been used on several drilling operations. Experiences from its use will be summarized and presented. This paper has main focus on utilization of an advanced flow model for real time supervision and control of ECD and ECD related effects.

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“…The potential for the same type of problem and associated safety hazards arises in drilling-rig operations as a result of the increasing trend for automation (Rommetveit et al 2008;Ornaes 2010) and advisory systems (Cayeux et al 2012b). On this basis, we proposed the following research question: "Can levels and modes of automation influence operator performance and increase the risk of human error?"…”

Section: Introductionmentioning

confidence: 99%

Drilling Automation: Potential for Human Error

Iversen¹,

Gressgård²,

Thorogood

et al. 2013

SPE Drilling &Amp; Completion

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Mode confusion is an automated system behaving differently than expected and the operator not being aware of (or not properly understanding) what the system is doing. Mode confusion is wellrecognized in the aviation community and has been indicated in a number of high-profile aviation accidents. As an example, a JAS Gripen fighter jet crashed during a test flight in the 1980s because the pilot tried to manually correct instability while the plane's computer was automatically trying to do the same. The potential for the same type of problems, and associated safety hazards, arises in drilling-rig operations as a result of the increasing trend for automation and advisory systems. A simple example could be formation fracturing with an automated downhole pressurecontrol system when displacing to higher mud weight caused by the driller relying on the automated system to maintain sufficiently low flow rate without having reconfigured the system with the new mud properties. This paper describes how the use of a drilling support system in different modes and levels of automation may influence the system operator's performance and risk of human error. The development of a systematic method for detecting mode-confusion problems by model checking is central in this respect. The test cases have been simulated in a virtual test environment created at IRIS specifically for such purposes. The test environment and test cases are described, and results are reported and discussed.

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eDrilling Used on Ekofisk for Real-Time Drilling Supervision, Simulation, 3D Visualization and Diagnosis

Cited by 23 publications

References 2 publications

Chasing shared understanding in drilling operations

Chasing shared understanding in drilling operations

Automatic Real-Time Drilling Supervision, Simulation, 3D Visualization and Diagnosis on Ekofisk

Drilling Automation: Potential for Human Error

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