Abstract

Understanding drill string dynamics is essential to improving drilling efficiency and preventing accidents. Previous studies have mainly focused on self-excited oscillations due to stick–slip and bit-bounce. However, in deepwater drilling, large weight-on-bit (WOB) fluctuations due to heave motion are a significant concern that can affect torsional dynamics. This article reports analytical, numerical, and field data investigations on torsional vibrations of a drill string in deepwater drilling. First, we analyzed the field data from a deep-sea scientific drilling vessel Chikyu. The field data showed that heave, WOB, and torque oscillated at similar frequencies. This result indicated that the drill string could have forced torsional vibrations due to heave instead of self-excited vibrations due to stick–slip. Second, we analytically and numerically investigated drill string torsional dynamics. The torsional vibration of the drill string can be described only by self-excited vibration due to stick–slip if WOB is constant. However, when the WOB fluctuates, the forced vibration of the WOB must be considered. The results showed that vibration at the heave frequency had a more significant effect on torsional vibration than the axial self-excited frequency for the same amplitude of WOB variation. In addition, large WOB fluctuations increased the risk of stick–slip and reverse rotation of the drill bit. Numerical experiments with the field data showed that the forced torsional vibration caused by heave motion was predominant in deepwater drilling. These results show the importance of capturing forced torsional vibrations and reducing WOB fluctuations.

References

1.
Zamani
,
S. M.
,
Hassanzadeh-Tabrizi
,
S. A.
, and
Sharifi
,
H.
,
2016
, “
Failure Analysis of Drill Pipe: A Review
,”
Eng. Failure Anal.
,
59
, pp.
605
623
.
2.
Jansen
,
J. D.
,
1995
, “
Active Damping of Self-excited Torsional Vibrations in Oil Well Drillstrings
,”
J. Sound Vib.
,
179
(
4
), pp.
647
668
.
3.
Christoforou
,
A. P.
, and
Yigit
,
A. S.
,
2003
, “
Fully Coupled Vibrations of Actively Controlled DrillStrings
,”
J. Sound Vib.
,
267
(
5
), pp.
1029
1045
.
4.
Khulief
,
Y. A.
,
Al-Sulaiman
,
F. A.
, and
Bashmal
,
S.
,
2007
, “
Vibration Analysis of Drillstrings With Self-excited Stick–Slip Oscillations
,”
J. Sound Vib.
,
299
(
3
), pp.
540
558
.
5.
Navarro-López
,
E. M.
, and
Cortés
,
D.
,
2007
, “
Avoiding Harmful Oscillations in a Drillstring Through Dynamical Analysis
,”
J. Sound Vib.
,
307
(
1
), pp.
152
171
.
6.
Liu
,
Y.
,
Páez Chávez
,
J.
,
De Sa
,
R.
, and
Walker
,
S.
,
2017
, “
Numerical and Experimental Studies of Stick–Slip Oscillations in Drill-Strings
,”
Nonlinear Dyn.
,
90
(
4
), pp.
2959
2978
.
7.
Xue
,
Q.
,
Leung
,
H.
,
Huang
,
L.
,
Zhang
,
R.
,
Liu
,
B.
,
Wang
,
J.
, and
Li
,
L.
,
2019
, “
Modeling of Torsional Oscillation of Drillstring Dynamics
,”
Nonlinear Dyn.
,
96
(
1
), pp.
267
283
.
8.
Real
,
F. F.
,
Lobo
,
D. M.
,
Ritto
,
T. G.
, and
Pinto
,
F. A. N. C.
,
2018
, “
Experimental Analysis of Stick-Slip in Drilling Dynamics in a Laboratory Test-Rig
,”
J. Petroleum Sci. Eng.
,
170
, pp.
755
762
.
9.
Lin
,
Y.-Q.
, and
Wang
,
Y.-H.
,
1991
, “
Stick-Slip Vibration of Drill Strings
,”
ASME J. Eng. Ind.
,
113
(
1
), pp.
38
43
.
10.
Robnett
,
E. W.
,
Hood
,
J. A.
,
Heisig
,
G.
, and
Macpherson
,
J. D.
,
1999
, “
Analysis of the Stick-Slip Phenomenon Using Downhole Drillstring Rotation Data
,”
SPE/IADC Drilling Conference
,
Amsterdam, The Netherlands
,
Mar. 9–11
, OnePetro.
11.
Jain
,
J. R.
,
Ledgerwood
,
L. W.
,
Hoffmann
,
O. J.
,
Schwefe
,
T.
, and
Fuselier
,
D. M.
,
2011
, “
Mitigation of Torsional Stick-Slip Vibrations in Oil Well Drilling Through PDC Bit Design: Putting Theories to the Test
,”
SPE Annual Technical Conference and Exhibition
,
Denver, CO
,
Oct. 30–Nov. 2
.
12.
Inoue
,
T.
,
Katsui
,
T.
,
Ishiwata
,
J.
,
Matsuo
,
M. Y.
, and
Rheem
,
C. K.
,
2016
, “
Estimation of Stick-Slip Characteristics by Simulation With Actual Drilling Data
,”
ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering
,
Busan, South Korea
,
June 19–24
.
13.
Richard
,
T.
,
Germay
,
C.
, and
Detournay
,
E.
,
2004
, “
Self-excited Stick–Slip Oscillations of Drill Bits
,”
Comptes Rendus Mécanique
,
332
(
8
), pp.
619
626
.
14.
Sampaio
,
R.
,
Piovan
,
M. T.
, and
Venero Lozano
,
G.
,
2007
, “
Coupled Axial/Torsional Vibrations of Drill-Strings by Means of Non-linear Model
,”
Mech. Res. Commun.
,
34
(
5
), pp.
497
502
.
15.
Cayeux
,
E.
,
2018
, “
Drill-String Dynamics in Deviated Wells in the Presence of Heave
,”
Fourth International Colloquium on Nonlinear Dynamics and Control of Deep Drilling Systems
,
Stavanger, Norway
,
May 14–16, 2018
, p.
15
.
16.
Arvani
,
F.
,
Sarker
,
M. M.
,
Rideout
,
D. G.
, and
Butt
,
S. D.
,
2014
, “
Design and Development of an Engineering Drilling Simulator and Application for Offshore Drilling for MODUs and Deepwater Environments
,”
SPE Deepwater Drilling and Completions Conference
,
Galveston, TX
,
Sept. 10–11
, OnePetro.
17.
Wada
,
R.
,
Kaneko
,
T.
,
Ozaki
,
M.
,
Inoue
,
T.
, and
Senga
,
H.
,
2018
, “
Longitudinal Natural Vibration of Ultra-long Drill String During Offshore Drilling
,”
Ocean Eng.
,
156
, pp.
1
13
.
18.
Pessier
,
R. C.
, and
Fear
,
M. J.
,
1992
, “
Quantifying Common Drilling Problems With Mechanical Specific Energy and a Bit-Specific Coefficient of Sliding Friction
,”
SPE Annual Technical Conference and Exhibition
,
Washington, DC
,
Oct. 4–7
, OnePetro.
19.
Kaneko
,
T.
,
Inoue
,
T.
,
Ryota
,
W.
,
Tokihiro
,
K.
, and
Hiroyoshi
,
S.
,
2022
, “
Analytical and Numerical Investigation of the Contributing Factors of Drill Pipe Stick-Slip
,” Conference Proceedings The Japan Society of Naval Architects and Ocean Engineers, Vol. 35, No. 2022A-GS27-3.
20.
Hatleskog
,
J. T.
, and
Dunnigan
,
M. W.
,
2007
, “
Passive Compensator Load Variation for Deep-Water Drilling
,”
IEEE J. Ocean. Eng.
,
32
(
3
), pp.
593
602
.
21.
Rudat
,
J.
, and
Dashevskiy
,
D.
,
2011
, “
Development of an Innovative Model-Based Stick/Slip Control System
,”
SPE/IADC Drilling Conference and Exhibition
,
Amsterdam, The Netherlands
,
Mar. 1–3
, OnePetro.
22.
Kaneko
,
T.
,
Wada
,
R.
,
Ozaki
,
M.
, and
Inoue
,
T.
,
2022
, “
Hybrid Model of a Physics-Based Model and Machine Learning for Real-Time Estimation of Unmeasurable Parts: Mapping From Measurable to Unmeasurable Variables
,”
Ocean Eng.
,
261
, p.
112123
.
23.
Kaneko
,
T.
,
Wada
,
R.
,
Ozaki
,
M.
, and
Inoue
,
T.
,
2023
, “
Hybrid Physics-Based and Machine Learning Model With Interpretability and Uncertainty for Real-Time Estimation of Unmeasurable Parts
,”
Ocean Eng.
,
284
, p.
115267
.
You do not currently have access to this content.