Abstract

The typical challenge encountered in developing heavy-oil reservoirs is inefficient wellbore lifting caused by complex multiphase flows. The literature on modeling of a hybrid artificial-lift (AL) system is relatively sparse and these works typically model the AL system on the basis of individual AL methods. This paper presents a case study of the design and optimization of a hybrid AL system to improve heavy-oil production. We systematically design and model a hybrid electrical-submersible-pump/gas-lift (ESP/GL) system to enhance wellbore lifting and production optimization. We found that the implementation of a hybrid ESP/GL system provides the flexibility to boost production and reduces production downtime. Results from the pilot test show that the production rate in hybrid mode are approximately 30% higher than in ESP-only mode. The power consumption of the hybrid mode is 3% lower in the ESP-only mode. Additionally, the average ESP service life exceeds 6 years which is better than expected in the field development plan. The pump-performance-curve model is built with corrections for density and viscosity owing to the increased water production. We observed a higher pressure drawdown with GL injection at fixed ESP frequency. The GL injection reduces the density of the fluid column above the ESP, resulting in less pressure loss across the pump, less power consumption, and potentially extended service life. The nodal analysis results suggest that the pump capacity can be considerably expanded by manipulating the GL rate instead of increasing the frequency.

References

1.
Nemoto
,
R. H.
,
Hackworth
,
M. R.
,
Pereyra
,
E.
, and
Sarica
,
C.
,
2020
, “
Dynamic Simulation of Electrical Submersible Pump ESP Applied to Producing Wells in Unconventional Reservoirs
,” SPE Artificial Lift Conference and Exhibition,
Virtual
,
Nov. 10–12
,
Paper No. SPE-201159-MS
.
2.
Khan
,
S.
,
Karami
,
H.
,
Wang
,
C.
,
Joshi
,
M.
,
Reeves
,
B.
,
Van Dam
,
J.
, and
Johnson
,
C.
,
2020
, “
Evaluation of an Innovative Hybrid Gas Lift Technique
,”
SPE Artificial Lift Conference and Exhibition—Americas
,
Virtual
,
Nov. 10–12
,
Paper No. SPE-201168-MS
.
3.
Lane
,
W.
, and
Chokshi
,
R.
,
2014
, “
Considerations for Optimizing Artificial Lift in Unconventionals
,”
SPE/AAPG/SEG Unconventional Resources Technology Conference
,
Denver, CO
,
Aug. 25–27
,
Paper No. URTeC 1921823-MS.
4.
Colodette
,
G.
,
Pereira
,
C. A. G.
,
Siqueira
,
C. A. M.
,
Spinelli Ribeiro
,
G. A.
,
Rodrigues
,
R.
,
de Matos
,
J. S.
, and
Ribeiro
,
M. P.
,
2008
, “
Flow Assurance and Artificial Lift Innovations for Jubarte Heavy Oil in Brazil
,”
SPE Proj., Facil. Constr.
,
3
(
1
), pp.
1
8
.
5.
Kahali
,
K.
,
Rai
,
R.
, and
Mukerjie
,
R. K.
,
1991
, “
Artificial Lift Methods
,”
SPE Production Operations Symposium
,
Oklahoma
,
Apr. 7–9
,
Paper No. SPE-21696-MS
.
6.
Denney
,
D.
,
2012
, “
Offshore ESP-Selection Criteria: An Industry Study
,”
J. Pet. Technol.
,
64
(
7
), pp.
88
91
.
7.
Bruijnen
,
P. M.
,
2016
, “
Nodal Analysis by Use of ESP Intake and Discharge Pressure Gauges
,”
SPE Prod. Oper.
,
31
(
1
), pp.
76
84
.
8.
Lanier
,
G. H.
, and
Mahoney
,
M. W.
,
2009
, “
Pushing the Limit: High Rate Artificial Lift Evaluation for a Sour, Heavy Oil Thermal EOR Project in Oman
,”
SPE Prod. Oper.
,
24
(
4
), pp.
579
589
.
9.
Camponogara
,
E.
, and
Seman
,
L. O.
,
2021
, “
Control Optimization of Pump Cycles in Onshore Oilfields With Network and Electric Power Constraints
,”
ASME J. Energy Resour. Technol.
,
143
(
2
), p.
023004
.
10.
Clegg
,
J. D.
,
Bucaram
,
S. M.
, and
Hein
N. W.
, Jr.
1993
, “
Recommendations and Comparisons for Selecting Artificial-Lift Methods
,”
J. Pet. Technol.
,
45
(
12), pp.
1128
1167
.
11.
Zhu
,
H.
,
Zhu
,
J.
,
Rutter
,
R.
, and
Zhang
,
H. Q.
,
2021
, “
Experimental Study on Deteriorated Performance, Vibration, and Geometry Changes of an Electrical Submersible Pump Under Sand Water Flow Condition
,”
ASME J. Energy Resour. Technol.
,
143
(
8
), p.
082104
.
12.
Tran
,
T. S.
,
2009
, “
Electromagnetic Assisted Carbonated Water Flooding in Heavy Oil Recovery
,”
Master thesis
,
Delft University of Technology
,
Delft, the Netherlands
.
13.
Wahba
,
M. A.
,
Jadid
,
M.
,
Subari
,
I. B.
,
Talib
,
M. A.
,
von Pattay
,
P.
, and
Saenz
,
D.
,
2008
, “
Selection Criteria for Artificial Lift Technique in Bokor Field
,”
International Petroleum Technology Conference
,
Kuala Lumpur, Malaysia
,
Dec. 3–5
,
Paper No. IPTC-12029-MS
.
14.
Mali
,
P. V.
, and
Al-Jasmi
,
A.
,
2014
, “
Evaluation of Artificial Lift Modes for Heavy Oil Reservoirs
,”
SPE Heavy Oil Conference-Canada
,
Calgary, Alberta, Canada
,
June 10–12
,
Paper No. SPE-170040-MS
.
15.
Kolawole
,
O.
,
Gamadi
,
T. D.
, and
Bullard
,
D.
,
2020
, “
Artificial Lift System Applications in Tight Formations: The State of Knowledge
,”
SPE Prod. Oper.
,
35
(
2
), pp.
422
434
.
16.
Valbuena
,
J.
,
Pereyra
,
E.
, and
Sarica
,
C.
,
2016
, “
Defining the Artificial Lift System Selection Guidelines
,”
SPE North America Artificial Lift Conference and Exhibition
,
The Woodlands, TX
,
Oct. 25–27
,
Paper No. SPE-181229-MS
.
17.
Clegg
,
J. D.
,
2007
, “Volume IV: Production Operations Engineering,”
Petroleum Engineering Handbook
,
L. W.
Lake
, ed.,
Society of Petroleum Engineers
,
Richardson, TX
.
18.
Coutinho
,
R. P.
,
Waltrich
,
P. J.
,
Williams
,
W. C.
,
Mehdizadeh
,
P.
,
Scott
,
S.
,
Xu
,
J.
, and
Mabrye
,
W.
,
2020
, “
Experimental Characterization of Two-Phase Flow Through Valves Applied to Liquid-Assisted Gas-Lift
,”
ASME J. Energy Resour. Technol.
,
142
(
6
), p.
063007
.
19.
Rohman
,
A. F.
,
Arseto
,
Y. I.
, and
Hamzah
,
K.
,
2015
, “
Redesign of a Single String Packerless ESP-Gas Lift Hybrid
,”
SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition
,
Nusa Dua, Bali, Indonesia
,
Oct. 20–22
,
Paper No. SPE-176291-MS
.
20.
Borja
,
H.
, and
Castano
,
R.
,
1999
, “
Production Optimization by Combined Artificial Lift Systems and Its Application in Two Colombian Fields
,”
SPE Latin American and Caribbean Petroleum Engineering Conference
,
Venezuela
,
Apr. 21–23
,
Paper No. SPE-53966-MS
.
21.
Samieh
,
A.
,
Kamel
,
I.
, and
Metwally
,
A.
,
2014
, “
Intelligent Production Application {ESP/GL Hybrid System (Electro-Gas)}
,”
SPE Middle East Artificial Lift Conference and Exhibition
,
Manama, Bahrain
,
Nov. 26–27
,
Paper No. SPE-173696-MS
.
22.
Romer
,
M. C.
,
Johnson
,
M. E.
,
Underwood
,
P. C.
,
Albers
,
A. L.
, and
Bacon
,
R. M.
,
2012
, “
Offshore ESP Selection Criteria: An Industry Study
,”
SPE Deepwater Drilling and Completions Conference
,
Galveston, TX
,
June 20–21
,
Paper No. SPE-146652-MS
.
23.
Kefford
,
P. A.
, and
Gaurav
,
M.
,
2016
, “
Well Performance Calculations for Artificial Lift Screening
,”
SPE Annual Technical Conference and Exhibition
,
Dubai, UAE
,
Sept. 26–28
,
Paper No. SPE-181344-MS
.
24.
Tran
,
S. T.
,
Vu
,
H. V.
,
Le
,
V. M.
,
Nguyen
,
T. N.
,
Nguyen
,
L. H.
,
Prajunla
,
P.
, and
Dong
,
H. M.
,
2016
, “
Hybrid System of ESP and Gas Lift Application From Conceptual Design Pilot Test to System Analysis
,”
SPE Middle East Artificial Lift Conference and Exhibition
,
Manama, Kingdom of Bahrain
,
Nov. 30–Dec. 1
,
Paper No. SPE-184215-MS
.
25.
Vu
,
H.
, and
Tran
,
S.
,
2016
, “
Production Technology Designed for Heavy Oil Recovery of a Marginal Field Offshore Vietnam
,”
Sci. Tech. Dev. J.
,
19
(
1
), pp.
190
202
.
26.
Jansen
,
J. D.
,
2017
,
Nodal Analysis of Oil and Gas Production Systems
, Chapter 7,
Society of Petroleum Engineers
.
27.
Williams
,
S.
,
2000
, “
Demystifying ESPs: A Technique to Make Your ESP Talk
,”
ESP Workshop, SPE Gulf Coast Section
,
Houston, TX
,
Apr. 26–28
.
28.
Dholkawala
,
Z. F.
,
Daniel
,
S. B.
, and
Billingsley
,
S. B.
,
2012
, “
From Operations to Desktop Analysis to Field Implementation: Well and ESP Optimization for Production Enhancement in the Cliff Head Field
,”
SPE Prod. Oper.
,
27
(
1
), pp.
52
66
.
29.
Pessoa
,
R.
, and
Prado
,
M.
,
2003
, “
Two-Phase Flow Performance for Electrical Submersible Pump Stages
,”
SPE Prod. Facil.
,
18
(
1
), pp.
13
27
.
30.
Stewart
,
M.
,
2019
,
Surface Production Operations: Volume IV Pumps and Compressors
, Chapter 2,
Gulf Professional Publishing, An Imprint of Elsevier
.
31.
Agarwal
,
R.
,
Patil
,
A.
, and
Morrison
,
G.
,
2020
, “
Efficiency Prediction of Centrifugal Pump Using the Modified Affinity Laws
,”
ASME J. Energy Resour. Technol.
,
142
(
3
), p.
032102
.
32.
Oliveira
,
M. C. K.
,
Miranda
,
L. R.
,
de Carvalho
,
A. B.
, and
Miranda
,
D. F. S.
,
2018
, “
Viscosity of Water-in-Oil Emulsions From Different American Petroleum Institute Gravity Brazilian Crude Oils
,”
Energy Fuels
,
32
(
3
), pp.
2749
2759
.
33.
Chen
,
Z.
, and
Yang
,
D.
,
2021
, “
Predicting Viscosities of Heavy Oils and Solvent–Heavy Oil Mixtures Using Artificial Neural Networks
,”
ASME J. Energy Resour. Technol.
,
143
(
11
), p.
113001
.
34.
Patterson
,
J.
,
Henry
,
J.
, and
Dinkins
,
W.
,
2002
, “
Emulsion Viscosity Testing With ESPs
,”
SPE Gulf Coast—ESP Workshop
,
Houston
,
May 1–3
.
35.
Stewart
,
M.
,
2014
,
Surface Production Operations: Vol. 2: Design of Gas-Handling Systems and Facilities
, Chapter 2, 3rd ed.,
Gulf Professional Publishing, An Imprint of Elsevier
.
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