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Data-driven model for the identification of the rock type at a drilling bit [article]

Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla Ismailova, Ekaterina Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan (+2 others)
2019 arXiv   pre-print
We present a novel approach for identifying rock type at the drilling bit based on machine learning classification methods and data mining on sensors readings.  ...  However, due to specifics of engineering design, sensors that explicitly determine the type of the drilled rock are located farther than 15m from the drilling bit.  ...  The main contribution of this work is a novel data-driven approach for identifying lithotype at the drilling bit.  ... 
arXiv:1806.03218v3 fatcat:tqnttizqkfbxxfjcsfvkylivmy

Real-time data-driven detection of the rock type alteration during a directional drilling [article]

Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry Koroteev
2019 arXiv   pre-print
In this article, we present a data-driven procedure that utilizes MWD data for quick detection of changes in rock type.  ...  During the directional drilling, a bit may sometimes go to a nonproductive rock layer due to the gap about 20m between the bit and high-fidelity rock type sensors.  ...  Estimation of the coefficients for all rock and bit types is possible for a big enough data sample, allowing direct rock type identification.  ... 
arXiv:1903.11436v2 fatcat:4c5j6u3ixzg73n77mla56zi7ia

Multi-state autonomous drilling for lunar exploration

Chongbin Chen, Qiquan Quan, Xiaomeng Shi, Zongquan Deng, Dewei Tang, Shengyuan Jiang
2016 Chinese Journal of Aeronautics  
Based on the analysis of two types of typical drilling media (i.e., lunar soil and lunar rock), this paper proposes a multi-state control strategy for autonomous lunar drilling.  ...  The multi-state control method provides a feasible reference for the control of extraterrestrial autonomous drilling.  ...  Owing to the existence of drilling states for different drilling media and the interfaces, a recognition method and a control algorithm should be developed for identification of each drilling media and  ... 
doi:10.1016/j.cja.2016.01.004 fatcat:plx3h5br2rbjxkmdtezbhdqybm

A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry

Saurabh Tewari, Umakant Dhar Dwivedi, Susham Biswas
2021 Energies  
With the advancement of intelligent predictive models, the automated selection of drill bit type is possible using earlier drilled offset wells' data.  ...  Selection of the most suitable drill bit type is an important task for drillers when planning for new oil and gas wells.  ...  The whole drilling operation is carried out through a mechanical drill string which contains a drill bit installed at its lower tip for crushing the rock layers.  ... 
doi:10.3390/en14020432 fatcat:jqd43ilsubci3oibjbrrlqwn6e

Acoustic assessment of pneumatic and electric jackleg drills used in the mining industry

Hugo Camargo, J. Shawn Peterson, Peter Kovalchik
2010 Journal of the Acoustical Society of America  
NSID using beamforming array technology revealed two dominant noise sources for the electric drill, one located at the drill and one located at the drill steel-rock interaction place.  ...  In contrast, NSID for the pneumatic drill showed only one dominant noise source located at the drill.  ...  EXPERIMENTAL SETUP Two rock drills were used for the present study. A Gardner Denver model S83 pneumatic drill and a Hilti model TE MD20 rotary hammer electric drill.  ... 
doi:10.1121/1.3384527 fatcat:62ynaab6brgx7n6dow6zjvg3jm

Data-driven approaches tests on a laboratory drilling system

Erik Andreas Løken, Jens Løkkevik, Dan Sui
2020 Journal of Petroleum Exploration and Production Technology  
In this paper, an algorithm to develop data-driven models based on the laboratory data collocated in many scenarios (for instance, drilling different formation samples with varying drilling operational  ...  The main objective is to test the developed machine learning algorithms of formation classification and drilling operations identification on a laboratory drilling system.  ...  In Klyuchnikov et al. (2019) , machine learning classification methods were used to identify rock types around the drill bit.  ... 
doi:10.1007/s13202-020-00870-z fatcat:bj6daef7wvakphlhbbiqurwsxe

State Dependent Delayed Drill-string Vibration: Theory, Experiments and New Model

M. Wiercigroch, K. Nandakumar, L. Pei, M. Kapitaniak, V. Vaziri
2017 Procedia IUTAM  
The new model assuming a non-uniform distribution of blades for drag type drill-bits is proposed.  ...  This model corrects the instability deficiencies of the previous models but it is still based on a uniform angular distribution of blades on a drill-bit, which can lead to unrealistic regenerative types  ...  Fig. 5 . 5 Experimental studies of the interactions between a drill-bit a drilled formation. The main panel shows the results of the identification of TOB curves for different values of WOB.  ... 
doi:10.1016/j.piutam.2017.08.007 fatcat:wcidl35wtbccnif2ebv2kdme5u

Full and half-wavelength ultrasonic percussive drills

Xuan Li, Margaret Lucas, Patrick Harkness
2018 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
Ultrasonic-percussive drills are a leading technology for small rock drilling applications where power and weight-on-bit are at a premium.  ...  This is a relatively complex dynamic problem involving the transducer, the free-mass, the drilling-bit and, to a certain extent, the rock surface itself.  ...  Acknowledgement The authors acknowledge the use of the High Performance Computing facilities and support service within the School of Engineering, University of Glasgow.  ... 
doi:10.1109/tuffc.2018.2867535 pmid:30176586 fatcat:3smwtjt3izgbpplfoehs76u4oq

Torsional vibrations of helically buckled drill-strings: experiments and FE modelling

M Kapitaniak, V V Hamaneh, M Wiercigroch
2016 Journal of Physics, Conference Series  
to use an equivalent friction model to accommodate for both frictional and cutting components of the bit-rock interactions.  ...  The importance of this work lies in the fact, that the experimental rig utilizes real industrial drill-bits and rock samples, which after careful identification of Torque On Bit (TOB) speed curves, allows  ...  Acknowledgements The authors wish to thank Dr. Joseph Páez Chávez for his help in experimental work and acknowledge the financial support of BG Group plc.  ... 
doi:10.1088/1742-6596/721/1/012012 fatcat:cw7hzqphyvd4vp4v5v4j3estm4

Prediction of penetration rate of rotary-percussive drilling using artificial neural networks – a case study / Prognozowanie postępu wiercenia przy użyciu wiertła udarowo-obrotowego przy wykorzystaniu sztucznych sieci neuronowych – studium przypadku

Seyed Ali Aalizad, Farshad Rashidinejad
2012 Archives of Mining Sciences  
To train the pattern of ANN, 77 data has been used and 25 of them found for testing the pattern.  ...  For the prediction of penetration rate in rotary-percussive drilling, four types of rocks in Sangan mine have been chosen. Sangan is situated in Khorasan-Razavi province in Northeastern Iran.  ...  And a special thanks for Dr. Farshad Rashidinejad, who supervised the MSc. Thesis in the years 2010-2011.  ... 
doi:10.2478/v10267-012-0046-x fatcat:gr2ceqncwfhlvkiy4qnsql7dki

Prospects of Applying MWD Technology for Quality Management of Drilling and Blasting Operations at Mining Enterprises

Valentin Isheyskiy, José A. Sanchidrián
2020 Minerals  
outlines further trends of development for research on MWD application in drilling and blasting (D&B) operations at mining enterprises.  ...  In the paper, the authors examine major works of researchers in this area, describe current state of the art, and propose a way to improve MWD for drilling equipments.  ...  In 2019, a group of Russian scientists presented a research on the identification of rock type in the process of drilling, using machine learning methods applied to data collected by MWD [71] .  ... 
doi:10.3390/min10100925 fatcat:i2b53oibj5dv7aagbcgbmeel7m

Drilling performance monitoring and optimization: a data-driven approach

Shan e Zehra Lashari, Ali Takbiri-Borujeni, Ebrahim Fathi, Ting Sun, Reza Rahmani, Mehdi Khazaeli
2019 Journal of Petroleum Exploration and Production Technology  
From both laboratory and field test data provided, we have proved that the data-driven model built using multilayer perceptron technique can be successfully used for drilling performance monitoring and  ...  The objective of this paper is to implement artificial intelligence technique to develop a smart model for more accurate and robust real-time drilling performance monitoring and optimization.  ...  ROP is a function of drilling parameters, drilling fluid type and most importantly the properties of rock being drilled. That's why it is the direct indicator of rock's mechanical property.  ... 
doi:10.1007/s13202-019-0657-2 fatcat:dsdieggnqraepmq7eprzeflwry

Rate of Penetration Prediction Utilizing Hydromechanical Specific Energy [chapter]

Omogbolahan Ahmed, Ahmed Adeniran, Ariffin Samsuri
2018 Drilling  
This is valuable from an operational point of view, because it provides a reference point for measuring drilling efficiency and performance of the drilling process in terms of energy input and corresponding  ...  The utilization of HMSE in selecting drilling variables for the prediction models provided an improved and consistent methodology of predicting ROP with drilling efficiency optimization objectives.  ...  Introduction The speed at which a drill bit breaks the rock under it to deepen the hole is called rate of penetration (ROP).  ... 
doi:10.5772/intechopen.76903 fatcat:jxjfhj4uhvae3m5cqlukripawi

An adaptive data driven model for characterizing rock properties from Drilling data

Hang Zhou, Peter Hatherly, Fabio Ramos, Eric Nettleton
2011 2011 IEEE International Conference on Robotics and Automation  
In this paper, an adaptive unsupervised approach is proposed to estimate the rock types in a data driven way by minimizing the entropy gradient of the characterizing measure -"Optimized Adjusted Penetration  ...  Neither data labeling nor fixed model parameters are required because of the data driven nature of the algorithm. Experimental results illustrate the effectiveness of our solution.  ...  The authors also acknowledge the input from Annette Pal, Danielle Robinson, Florian Oppolzer of Rio Tinto, as well as Sildomar Monteiro and Ross Hennessy of Rio Tinto Centre for Mine Automation.  ... 
doi:10.1109/icra.2011.5979823 dblp:conf/icra/ZhouHRN11 fatcat:p3ndo7hr5varleeautgkikgpqq

Investigation into the effect of friction decay factor on the modelling and attenuation of stick-slip vibrations of oilwell drilling systems

Mohammed Y.A. Alkaragoolee, David Bryant
2021 Petroleum  
Based on a distributed-lumped parameter model (DLPM) of the drilling system, the governing equations of motion for the system are obtained.  ...  Abstract The self-excited stick-slip oscillations of oilwell drillstrings are attributed to the nonlinear interaction between the drill-bit and the rock formation.  ...  Acknowledgements This research is supported by the Ministry of Higher Education and Scientific Research of Iraq and Technical Institute Baqubah, Middle Technical University, Iraq .  ... 
doi:10.1016/j.petlm.2021.06.005 fatcat:i6sbmhvmyjeknkrgczcoxphfhq
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