Experimental Evaluation of Real-Time Mechanical Formation Classification using Drill String Vibration Measurements

Formation Prediction Model based on Drill String Vibration Measurements Using Laboratory Scale Rig

10.2118/166793-ms ◽

2013 ◽

Author(s):

Abdolali Esmaeili ◽

Behzad Elahifar ◽

Rudolf Konrad Fruhwirth ◽

Gerhard Thonhauser

Keyword(s):

Prediction Model ◽

Drill String ◽

Laboratory Scale ◽

Vibration Measurements ◽

String Vibration ◽

Model Based

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Experimental evaluation of uncertainty in hand–arm vibration measurements

International Journal of Industrial Ergonomics ◽

10.1016/j.ergon.2011.01.002 ◽

2011 ◽

Vol 41 (2) ◽

pp. 167-179 ◽

Cited By ~ 9

Author(s):

Ignacio Ainsa ◽

David Gonzalez ◽

Miguel Lizaranzu ◽

Carlos Bernad

Keyword(s):

Experimental Evaluation ◽

Vibration Measurements

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RT-WiFi Approach to Handle Real-Time Communication: An Experimental Evaluation

Ad-Hoc, Mobile, and Wireless Networks - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31831-4_20 ◽

2019 ◽

pp. 290-303

Author(s):

José Betiol Júnior ◽

Robson Costa ◽

Ricardo Moraes ◽

Luciana Rech ◽

Francisco Vasques

Keyword(s):

Real Time ◽

Experimental Evaluation

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Evaluation of the dynamic loads impact on the conditions of drill string failure during tripping operations

Scientific Bulletin of Ivano-Frankivsk National Technical University of Oil and Gas ◽

10.31471/1993-9965-2018-1(44)-38-47 ◽

2018 ◽

pp. 38-47

Author(s):

O. Yu. Vytyaz ◽

R. S. Hrabovskyi ◽

V. V. Tyrlych ◽

V. I. Artym

Keyword(s):

Experimental Evaluation ◽

Drill String ◽

Dynamic Loads ◽

Transverse Cracks ◽

Force Criterion ◽

Annular Cracks

The conditions of drill string failure during tripping operations with external or internal transverse annular cracks were defined. At the same time, considering the experimental evaluation of the force criterion for failure of metal of backup and operated drill string pipes, the interrelationship between the depth of the critical external or internal transverse annular cracks in drill string pipes with the weight of the drill string was established, considering the effect of dynamic loads during tripping operations. It was determined that dynamic loads during run-in-hole operations are more dangerous at depths of more than 3.7 km, while at lower depths, the dynamic loads occurring during pulling out of string are considered more dangerous. It was demonstrated that, when pulling out operated drill strings, internal transverse annular cracks at depths exceeding 1.1 km, are more dangerous than external ones, while at depths up to 1.1 km the external transverse cracks are more dangerous.

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Case Studies for the Successful Deployment of Wells Augmented Stuck Pipe Indicator in Wells Real Time Centre

10.2523/iptc-21199-ms ◽

2021 ◽

Author(s):

Meor M. Meor Hashim ◽

M. Hazwan Yusoff ◽

M. Faris Arriffin ◽

Azlan Mohamad ◽

Tengku Ezharuddin Tengku Bidin ◽

...

Keyword(s):

Real Time ◽

Case Studies ◽

Drilling Fluid ◽

Drill String ◽

Drilling Operation ◽

Cost Impact ◽

Drilling Parameters ◽

The Impact ◽

Productive Time ◽

Specific Challenge

Abstract The restriction or inability of the drill string to reciprocate or rotate while in the borehole is commonly known as a stuck pipe. This event is typically accompanied by constraints in drilling fluid flow, except for differential sticking. The stuck pipe can manifest based on three different mechanisms, i.e. pack-off, differential sticking, and wellbore geometry. Despite its infrequent occurrence, non-productive time (NPT) events have a massive cost impact. Nevertheless, stuck pipe incidents can be evaded with proper identification of its unique symptoms which allows an early intervention and remediation action. Over the decades, multiple analytical studies have been attempted to predict stuck pipe occurrences. The latest venture into this drilling operational challenge now utilizes Machine Learning (ML) algorithms in forecasting stuck pipe risk. An ML solution namely, Wells Augmented Stuck Pipe Indicator (WASP), is developed to tackle this specific challenge. The solution leverages on real-time drilling database and supplementary engineering design information to estimate proxy drilling parameters which provide active and impartial pattern recognition of prospective stuck pipe events. The solution is built to assist Wells Real Time Centre (WRTC) personnel in proactively providing a holistic perspective in anticipating potential anomalies and recommending remedial countermeasures before incidents happen. Several case studies are outlined to exhibit the impact of WASP in real-time drilling operation monitoring and intervention where WASP is capable to identify stuck pipe symptoms a few hours earlier and provide warnings for stuck pipe avoidance. The presented case studies were run on various live wells where restrictions are predicted stands ahead of the incidents. Warnings and alarms were generated, allowing further analysis by the personnel to verify and assess the situation before delivering a precautionary procedure to the rig site. The implementation of the WASP will reduce analysis time and provide timely prescriptive action in the proactive real-time drilling operation monitoring and intervention hub, subsequently creating value through cost containment and operational efficiency.

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