Model-Based Optimization Approach for Mitigation of Torsional Oscillations in Drilling Systems

被引：0

作者：

Hohl, A. ^{[1
]}

Tergeist, M. ^{[2
]}

Oueslati, H. ^{[1
]}

Herbig, Chr. ^{[1
]}

Ichaoui, M. ^{[2
]}

Ostermeyer, G. -P. ^{[2
]}

Reckmann, H. ^{[1
]}

机构：

[1] Baker Hughes, Rialto, CA 92377 USA

[2] Tech Univ Carolo Wilhelmina Braunschweig, Inst Dynam & Vibrat, Braunschweig, Germany

来源：

OIL GAS-EUROPEAN MAGAZINE | 2016年 / 42卷 / 01期

关键词：

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Drilling systems are subject to torsional vibrations that are excited by bit-rock interaction. These torsional oscillations can be distinguished by mode shape and natural frequency. Well-known stick/slip oscillations are characterized by relatively low frequencies and affect the entire drillstring. High-frequency torsional oscillations (HFTO), in contrast, denote the excitation of a high-order eigenmode [1, 2] In the case of HFTO, high dynamic loads are mainly experienced by the bottom-hole assembly (BHA). All torsional oscillations can compromise drilling efficiency and tool reliability. It is important to estimate expected dynamic loads during the design process of new tools and for optimal design of bottom-hole assemblies. Therefore, models are necessary that can predict the expected dynamic loads.

引用

页码：37 / 38

页数：2

共 50 条

[21] MODES: model-based optimization on distributed embedded systems
Junjie Shi
Jiang Bian
Jakob Richter
Kuan-Hsun Chen
Jörg Rahnenführer
Haoyi Xiong
Jian-Jia Chen
Machine Learning, 2021, 110 : 1527 - 1547
[22] A model-based method for the synthesis and optimization of systems architectures
Albarello, Nicolas
Welcomme, Jean-Baptiste
INCOSE International Symposium, 2012, 22 (01) : 2053 - 2065
[23] Model-based mitigation of availability risks
Zambon, Emmanuele
Bolzoni, Damiano
Etalle, Sandro
Salvato, Marco
INFORMATION TECHNOLOGY MANAGEMENT FROM A BUSINESS PERSPECTIVE, 2007, : 75 - +
[24] A Formal Model-Based Approach to Engineering Systems-of-Systems
Fitzgerald, John
Bryans, Jeremy
Payne, Richard
COLLABORATIVE NETWORKS IN THE INTERNET OF SERVICES, 2012, 380 : 53 - 62
[25] Model-Based Systems Engineering: An Emerging Approach for Modern Systems
Ramos, Ana Luisa
Ferreira, Jose Vasconcelos
Barcelo, Jaume
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2012, 42 (01): : 101 - 111
[26] A model-based reinforcement learning approach for maintenance optimization of degrading systems in a large state space
Zhang, Ping
Zhu, Xiaoyan
Xie, Min
COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 161
[27] An Approach to Model-based Parametric Design of Mechatronic Systems
Johannes Kepler University Linz, Austria
Comput.-Aided Des. Appl., 3 (282-289):
[28] Model-based development of embedded systems: The SysWeaver approach
de Niz, Dionisio
Bhatia, Gaurav
Rajkumar, Raj
Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium, 2006, : 231 - 242
[29] A model-based approach to supporting configuration in ubiquitous systems
McBryan, Tony
Gray, Phil
INTERACTIVE SYSTEMS: DESIGN, SPECIFICATION, AND VERIFICATION, PROCEEDINGS, 2008, 5136 : 167 - 180
[30] An approach to Identifying Inconsistencies in Model-Based Systems Engineering
Herzig, Sebastian J. I.
Qamar, Ahsan
Paredis, Christiaan J. J.
2014 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH, 2014, 28 : 354 - 362

← 1 2 3 4 5 →