Abstract

This work investigates the drilling performance by reaming while drilling (RWD) using a dual-body bit and compared it with conventional drilling by a standard drilling bit. The dual-body bit consisted of a 2.45-in. pilot bit located at a short distance ahead of a 2.47 × 3.97-in. reamer. Conducting a series of drilling experiments at a simulation drilling rig with full monitoring sensors, we further studied the drilling performance as a function of the distance between the pilot bit and the reamer. This distance is a greatly important parameter affecting mud diffusion and the resultant change in pore pressure and stress. A method was devised to eliminate the drill-string vibration and its effect on the drilling performance and the energy consumed. The mechanical-specific energy (MSE) calculated for each case was considered as a drilling performance indicator. Using two laboratory experiments as well as analytical thermo-poro-elastic calculations of the Mechanical Specific Energy (MSE), the MSE changes were monitored and recorded. Comparison of this drilling performance indicator was used in both the RWD and the conventional drilling assembly to analyze the effect of RWD. Based on the results, with increasing the distance between the pilot bit and reamer, there is an increase in improvement of drilling performance in terms of MSE reduction. The best drilling performance indicator (MSE reduction of 84%) was observed with the greatest distance between the pilot bit and the reamer of 43.3 cm. The best drilling performance indicator (MSE reduction of 84%) was observed with the distance between the pilot bit and the reamer of 43.3 cm. This is considered a novel finding in reaming while drilling.

References

1.
Radford
,
S. R.
,
Hafle
,
M. E.
,
Ubaru
,
C. C.
,
Thomson
,
I. J.
, and
Morel
,
B.
,
2010
, “
Proper Bit and Underreamer Synchronization Concept Delivered Excellent Performance in GoM Deepwater Well
,”
Proceeding of the Offshore Technology Conference
,
Houston, TX
.
2.
Hayatdavoudi
,
A.
,
Akhigbe
,
A.
,
Ghalambor
,
A.
, and
Okoye
,
C. U.
,
1984
, “
A New Drilling Technique Using Vortex Action at the Rock/Bit Interface (Part I), SPE Paper No. 12791
,”
Proceedings of the California Regional Meeting of the Society of Petroleum Engineers
,
Long Beach, CA
, Apr.
11–13
, pp.
581
588
.
3.
Bataee
,
M.
,
Edalatkhah
,
S.
, and
Ashena
,
R.
,
2010
, “
Comparison Between Bit Optimization Using Artificial Neural Network and Other Methods Base on Log Analysis Applied in Shadegan Oil Field
,”
Paper Presented at the International Oil and Gas Conference and Exhibition in China
,
Beijing, China
,
June
.
4.
Mohan
,
K.
,
Adil
,
F.
, and
Samuel
,
R.
,
2015
, “
Comprehensive Hydromechanical Specific Energy Calculation for Drilling Efficiency
,”
ASME. J. Energy Resour. Technol.
,
137
(
1
), p.
012904
.
5.
Al-AbdulJabbar
,
A.
,
Elkatatny
,
S.
,
Mahmoud
,
M.
,
Abdelgawad
,
K.
, and
Al-Majed
,
A.
,
2018
, “
A Robust Rate of Penetration Model for Carbonate Formation
,”
ASME J. Energy Resour. Technol.
,
141
(
4
), p.
042903
.
6.
Stoxreiter
,
T.
,
Portwood
,
G.
,
Gerbaud
,
L.
,
Seibel
,
O.
,
Essl
,
S.
,
Plank
,
J.
, and
Hofstätter
,
H.
,
2019
, “
Full-scale Experimental Investigation of the Performance of a jet-Assisted Rotary Drilling System in Crystalline Rock
,”
Int. J. Rock Mech. Min. Sci.
,
115
, pp.
87
98
.
7.
Abbas
,
A. K.
,
Rushdi
,
S.
,
Alsaba
,
M.
, and
Al Dushaishi
,
M. F.
,
2019
, “
Drilling Rate of Penetration Prediction of High-Angled Wells Using Artificial Neural Networks
,”
ASME. J. Energy Resour. Technol.
,
141
(
11
), p.
112904
.
8.
Ahmed
,
D.
,
Xiao
,
Y.
,
de Moura
,
J.
, and
Butt
,
S. D.
,
2020
, “
Drilling Cutting Analysis to Assist Drilling Performance Evaluation in Hard Rock Hole Widening Operation
,”
Proceedings of the ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. Volume 11: Petroleum Technology
, Virtual, Online,
ASME
,
Aug. 3–7
, p.
V011T11A082
.
9.
Ashena
,
R.
,
Rabiei
,
M.
,
Rasouli
,
V.
,
Mohammadi
,
A. H.
, and
Mishani
,
S.
,
2021
, “
Drilling Parameters Optimization Using an Innovative Artificial Intelligence Model
,”
ASME. J. Energy Resour. Technol.
,
143
(
5
), p.
050902
.
10.
Barton
,
S.
, and
Weeden
,
R.
,
2010
,
Accurate Matching of Bit and Reamer Tools Delivers Optimized Drilling Performance, Beijing, s.n.
11.
Mensa-Wilmot
,
G.
,
Gagneaux
,
J.
,
Woldtvedt
,
G.
, and
Osborn
,
A.
,
2015
, “
SPE/IADC
,”
SPE/IADC Drilling Conference and Exhibition
,
London, UK
,
March
.
12.
Bencic
,
A.
,
Prohaska
,
M.
,
de Sousa
,
J. T. V.
, and
Millheim
,
K. K.
,
1998
, “
Slimhole Drilling and Coring—A New Approach
,”
Presented at the SPE Annual Technical Conference and Exhibition
,
New Orleans, LO
,
Sept.
.
13.
de Sousa
,
J. T. V.
,
Prohaska
,
M.
,
Bencic
,
A.
, and
Millheim
,
K. K.
,
1999
, “
Optimization of Slimhole Dual-Body Bits by Experiments and Computational Fluid Dynamics
,” Paper
Presented at the SPE Western Regional Meeting
,
Anchorage, Alaska
,
May 1999
.
14.
Ashena
,
R.
, and
Thonhauser
,
G.
,
2018
,”
Coring Methods and Systems
,
Springer International Publishing
.
15.
Centala
,
P.
,
2011
,
Bit Design—Top to Bottom, s.l
,
Schlumberger
.
16.
Fear
,
M.
,
Abbasian
,
F.
,
Parfitt
,
S.
, and
McClean
,
A.
,
1997
,
The Destruction of PDC Bits by Severe Slip-Stick Vibration, Amsterdam, s.n.
17.
Mensa-Wilmot
,
G.
, and
Fear
,
M. J.
,
2001
, “
The Effects of Formation Hardness, Abrasiveness, Heterogeneity and Hole Size on PDC Bit Performance
,”
Paper Presented at the SPE/IADC Drilling Conference
,
Amsterdam, The Netherlands
,
February
.
18.
Warren
,
T. M.
, and
Smith
,
M. B.
,
1985
, “
Bottomhole Stress Factors Affecting Drilling Rate at Depth
,”
J. Pet. Technol.
,
37
(
8
), pp.
1523
1533
.
19.
Zoback
,
M.
,
2007
, “Reservoir Geomechanics,”
Reservoir Geomechanics. s.l.
,
Cambridge University Press
, p.
449
.
20.
Teasdale
,
P.
,
John
,
G.
,
Davis
,
R.
, and
Nicolas
,
B.
, “
Innovative Dual-Diameter PDC Bit Design Provides Unique Solution to Successful Drilling of Challenging Volcanic Interval
,”
Paper Presented at the IADC/SPE Drilling Conference and Exhibition
,
Fort Worth, TX
,
March 2014
.
21.
Chen
,
G.
, and
Ewy
,
R. T.
,
2005
, “
Thermoporoelastic Effect on Wellbore Stability
,”
SPE J.
,
10
(
02
), pp.
121
129
.
22.
Roohi
,
A.
,
Elmgerbi
,
A.
,
Nascimento
,
A.
,
Prohaska
,
M.
, and
Thonhauser
,
G.
,
2016
, “
Mathematical Approach of MSE in Thermo-Poro-Elastic Conditions Improves Decision Making to Use RWD
,”
Paper Presented at the SPE Bergen One Day Seminar
,
Grieghallen, Bergen, Norway
23.
Roohi
,
A.
,
Nascimento
,
A.
,
Elmgerbi
,
A.
,
Prohaska
,
M.
, and
Thonhauser
,
G.
,
2016
, “
A Mathematical Approach Using Thermoporoelastic Model for Reamer While Drilling Efficiency Analysis and Closeness
,”
Res. J. Appl. Sci., Eng. Technol.
,
2016
(
1
), pp.
7
14
.
24.
Ashena
,
R.
,
Thonhauser
,
G.
,
Vortisch
,
W.
,
Rasouli
,
V.
, and
Azizmohammadi
,
S.
,
2018
, “
Optimization of Core Retrieval Using a Thermo-Poro-Elastic (T-P-E) Approach
,”
J. Pet. Sci. Eng.
,
167
, pp.
577
607
.
25.
Ashena
,
R.
,
Thonhauser
,
G.
,
Ghalambor
,
A.
,
Rasouli
,
V.
, and
Manasipov
,
R.
,
2019
, “
Determination of Maximum Allowable Safe-Core-Retrieval Rates
,”
SPE Reservoir Eval. Eng.
,
22
(
02
), pp.
548
564
.
26.
Caicedo
,
H. U.
,
Calhoun
,
W. M.
, and
Ewy
,
R. T.
,
2005
, “
Unique ROP Predictor Using Bit-Specific Coefficient of Sliding Friction and Mechanical Efficiency as a Function of Confined Compressive Strength Impacts Drilling Performance
,”
SPE/IADC Drilling Conference
,
Amsterdam
.
27.
Li
,
Y.
, and
Schmitt
,
D. R.
,
1997
, “
Well-Bore Bottom Stress Concentration and Induced Core Fractures
,”
AAPG Bull.
,
81
(
11
), pp.
1909
1925
.
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