RFID. A Key Enabler In Drilling Automation

Grinrod, M.; Vonlanten, Manfred; Haaland, Arne; Gaasø, Rune

doi:10.2118/163449-ms

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…In turn, drilling fluid quality, performance, and HSE efforts are improved by automating surface equipment used for mixing, treatment, bulk transfer, solids separation, and waste disposal (Kroken et al 2013;Kvame et al 2011;Zamora and Geehan 2013;Grinrod et al 2013). Despite concerted industry efforts over the past few decades, progress is painfully slow.…”

Section: Drilling Fluid Measurement Systemsmentioning

confidence: 99%

Drilling Systems Automation: Current State, Initiatives and Potential Impact

Macpherson

Wardt²,

Florence

et al. 2013

Day 3 Wed, October 02, 2013

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Drilling automation is the control of the drilling process by automatic means, ultimately reducing human intervention to a minimum. The concept of automating the drilling process has generated considerable interest, yet there is a lack of agreement on exactly what it is, what it entails, and how to implement it. As with industrial automation in the 1990s, the adoption of open standards enabling automation will have a significant impact on the underlying business model. In the oilfield drilling industry, the business model describes the relationship between operator, drilling contractor, service company, and equipment supplier.The goal of drilling systems automation is to increase productivity and quality, improve personnel safety, and effectively manage risk. Principal drivers of drilling automation include well complexity, data overload, efficiency, repetitive well manufacturing, access to limited expert resources, knowledge transfer due to the exodus of skilled employees, and health, safety and environmental concerns. With so many drivers, and their potential economic benefits, it is understandable that there are many automation related initiatives within the industry.Drilling through geopressured, possibly erratic lithologies, to a remote and possibly poorly defined target in a safe manner is not a simple task to automate. It is challenging. Drilling automation focuses on the drilling system and drilling operations, which entail combining various sub-systems, including the downhole BHA and its measurement and active components, the drillstring, fluid, and drilling rig and its sub-assemblies. Operations include conventional overbalanced, managed pressure, and underbalanced drilling operations, and their various procedures, such as tripping and making connections. This paper examines and defines drilling systems automation, its drivers, enablers and barriers, and its current state and goals. In particular, the paper looks at the vision of drilling systems automation, and the role played by open collaborative initiatives among all segments of the drilling industry. Although commitment to automation by the drilling industry appears by many to lag other major industries, there are segments of the drilling industry that have reached a high level of automation on a commercial basis. There is also significant collaboration among interested parties in creating a standardized, open environment for data flow to foster the development of systems automation.

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Section: Drilling Fluid Measurement Systemsmentioning

confidence: 99%

Drilling Systems Automation: Current State, Initiatives and Potential Impact

Macpherson

Wardt²,

Florence

et al. 2013

Day 3 Wed, October 02, 2013

View full text Add to dashboard Cite

show abstract

“…In turn, drilling-fluid quality, performance, and HSE efforts are improved by automating surface equipment used for mixing, treatment, bulk transfer, solids separation, and waste disposal (Kvame et al 2011;Kroken et al 2013;Geehan and Zamora 2010;Grinrod et al 2013). Despite concerted industry efforts over the past few decades, progress is quite slow.…”

Section: Drilling-fluid Measurement Systemsmentioning

confidence: 99%

Drilling-Systems Automation: Current State, Initiatives, and Potential Impact

Macpherson

Wardt²,

Florence

et al. 2013

SPE Drilling &Amp; Completion

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Drilling automation is the control of the drilling process by automatic means, ultimately reducing human intervention to a minimum. The concept of automating the drilling process has generated considerable interest, yet there is a lack of agreement on exactly what it is, what it entails, and how to implement it. As with industrial automation in the 1990s, the adoption of open standards enabling automation will have a significant impact on the underlying business model. In the oilfield-drilling industry, the business model describes the relationship between operator, drilling contractor, service company, and equipment supplier.The goal of drilling-systems automation is to increase productivity and quality, improve personnel safety, and effectively manage risk. Principal drivers of drilling automation include well complexity, data overload, efficiency, repetitive well manufacturing, access to limited expert resources, knowledge transfer as a result of the exodus of skilled employees, and health, safety, and environmental concerns. With so many drivers, and their potential economic benefits, it is understandable that there are many automation-related initiatives within the industry.Drilling through geopressured, possibly erratic, lithologies to a remote and possibly poorly defined target in a safe manner is not a simple task to automate. It is challenging. Drilling automation focuses on the drilling system and drilling operations, which entail combining various subsystems, including the downhole bottomhole assembly (BHA) and its measurement and active components, the drillstring, fluid, and drilling rig and its subassemblies. Operations include conventional overbalanced-, managed-pressure-, and underbalanced-drilling operations, and their various procedures, such as tripping and making connections. This paper examines and defines drilling-systems automation, its drivers, enablers and barriers, and its current state and goals. In particular, the paper looks at the vision of drilling-systems automation, and the role played by open, collaborative initiatives among all segments of the drilling industry. Although commitment to automation by the drilling industry appears by many to lag behind the level of commitment in other major industries, there are segments of the drilling industry that have reached a high level of automation on a commercial basis. There is also significant collaboration among interested parties in creating a standardized, open environment for data flow to foster the development of systems automation.

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Accuracy and Correction of Hook Load Measurements During Drilling Operations

Cayeux

Skadsem

Kluge

2015

SPE/IADC Drilling Conference and Exhibition

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Hook load is a very important parameter used during drilling operations to control the weight on bit and to assess possible deteriorations of the downhole conditions such as poor hole cleaning or excessive tortuosity. However, the quality of the hook load measurement is often regarded as quite poor. This paper investigates the sources of uncertainties associated with the hook load measurement and proposes correction methods in order to obtain better data quality. In practice, the hook load is normally measured indirectly, either in the travelling equipment or as a tension in the dead-line. This apparent hook load is subject to load-generating forces between the measurement location and the top of the string, including the weight of the mud hose attached to the top drive, imperfect tension transmission across sheaves and gravitational and inertia forces associated with weight and rotation of the drill line, respectively. The load contribution from these forces can amount to several metric tons and this must be accounted for whenever the true hook load is to be derived. In this paper, a mathematical model describing the forces affecting the hook load measurement is developed. The model predicts true hook load as a function of block position, velocity and other conditions that can influence the measurement like the mud weight or whether the dolly is retracted or not. It is a generalization of the industry-standard hook load estimation technique and successfully replicates a number of trends observed in the field. Extensive model evaluation is performed by comparing model results to field measurements of simultaneous travelling equipment and dead-line tension derived hook loads. The model is also compared with data from a laboratory scale test rig equipped with distributed load cells connected to a data acquisition system. The hook load correction model works exclusively at the software level and represents a potentially cost-efficient alternative to a direct hook load sensor installed in the internal BOP of some top drives. Assessment of model uncertainty and its effect on hook load predictions is given particular attention as this ultimately determines whether the correction method can replace direct hook load measurements in practice.

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RFID. A Key Enabler In Drilling Automation

Cited by 6 publications

References 3 publications

Drilling Systems Automation: Current State, Initiatives and Potential Impact

Drilling Systems Automation: Current State, Initiatives and Potential Impact

Drilling-Systems Automation: Current State, Initiatives, and Potential Impact

Accuracy and Correction of Hook Load Measurements During Drilling Operations

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