BSP: An evolution from Smart Wells to Smart Fields

2006 ◽  
Author(s):  
Erik van der Steen ◽  
Ronald Knoppe
Keyword(s):  
Smart Wells

Making smart wells equipped with electric submersible pump units

2018 ◽  
pp. 130-133
Author(s):  
S.S. Ulianov ◽  
◽  
R.I. Sagyndykov ◽  
D.S. Davydov ◽  
S.A. Nosov ◽  
...  
Keyword(s):  
Submersible Pump ◽  
Smart Wells ◽  
Electric Submersible Pump

A Basis for Automated Control of Steam Trap Subcool in SAGD

SPE Journal ◽  
2012 ◽  
Vol 17 (03) ◽  
pp. 680-686 ◽  
Author(s):  
Dharmeshkumar R. Gotawala ◽  
Ian D. Gates
Keyword(s):  
Temperature Difference ◽  
Oil Sands ◽  
Dynamic Control ◽  
Recovery Process ◽  
Steam Injection ◽  
Liquid Pool ◽  
Gravity Drainage ◽  
Approximate Theory ◽  
Smart Wells ◽  
The Difference

Summary Full steam conformance along the well pair of the steam-assisted gravity-drainage (SAGD) oil-sands-recovery process is essential for high thermal efficiency. Conformance can be improved by controlling injection and production strategies to ensure that steam is delivered to target regions in the reservoir. Smart wells use interval-control valves (ICVs) that, conceptually, can be dynamically controlled to yield uniform steam injectivity along the well pair. Dynamic control algorithms, such as proportional-integral-derivative (PID) control and their associated controller parameters, have not yet been developed for the SAGD processes that use ICVs. One control strategy would be to control the interwell subcool temperature difference—that is, the difference between the steam-injection temperature and the produced-fluids temperature. If this temperature difference is small, then the liquid pool above the production well is small and there is a likelihood of live steam production from the chamber. On the other hand, if the difference is large, the pool may rise above the injection well and gravity drainage is hindered because the chamber is largely filled with liquid. Here, the focus is on developing a simple, approximate theory for the behavior of the liquid pool at the base of the steam chamber to determine the ranges of values of control parameters to achieve a targeted interwell subcool temperature difference.

scholarly journals Ensemble-based hierarchical multi-objective production optimization of smart wells

2014 ◽  
Vol 18 (3-4) ◽  
pp. 449-461 ◽  
Author(s):  
R. M. Fonseca ◽  
O. Leeuwenburgh ◽  
P. M. J. Van den Hof ◽  
J. D. Jansen
Keyword(s):  
Production Optimization ◽  
Multi Objective ◽  
Smart Wells

Production Optimization Through Utilization of Smart Wells in Intelligent Fields

2017 ◽  
Author(s):  
Rahul Ranjith ◽  
Anuj Suhag ◽  
Karthik Balaji ◽  
Dike Putra ◽  
Diyar Dhannoon ◽  
...  
Keyword(s):  
Production Optimization ◽  
Smart Wells

Gradient Based Optimization of the WAG Process with Smart Wells

2004 ◽  
Author(s):  
T.E.H. Esmaiel ◽  
S. Fallah ◽  
C.P.J.W. van Kruijsdijk
Keyword(s):  
Smart Wells ◽  
Gradient Based

First SMART Wells in Rosetta Fields

2003 ◽  
Author(s):  
I. Sylvester ◽  
P. Thompson ◽  
T. Abdel Rahim Ali ◽  
M. Toubar ◽  
H. Katamish
Keyword(s):  
Smart Wells

Optimization of Smart Wells in the St. Joseph Field

2010 ◽  
Vol 13 (04) ◽  
pp. 588-595 ◽  
Author(s):  
G. M. van Essen ◽  
J. D. Jansen ◽  
D. R. Brouwer ◽  
S. G. Douma ◽  
M. J. Zandvliet ◽  
...  
Keyword(s):  
Optimization Technique ◽  
Gas Injection ◽  
Optimal Number ◽  
Control Parameters ◽  
Operational Strategies ◽  
Sector Model ◽  
Optimization Study ◽  
Smart Wells ◽  
Gradient Based ◽  
Reservoir Simulator

Summary The St. Joseph field has been on production since September 1981 under natural depletion supported by crestal gas injection. As part of a major redevelopment study, the scope for waterflooding was addressed using "smart" completions with multiple inflow control valves (ICVs) in the wells to be drilled for the redevelopment. Optimal control theory was used to optimize monetary value over the remaining producing life of the field, and in particular to select the optimal number of ICVs, the optimal configuration of the perforation zones, and the optimal operational strategies for the ICVs. A gradient-based optimization technique was implemented in a reservoir simulator equipped with the adjoint functionality to compute gradients of an objective function with respect to control parameters. For computational reasons, an initial optimization study was performed on a sector model, which showed promising results.

Coupling a Reservoir Simulator With a Network Model to Evaluate the Implementation of Smart Wells on the Moporo Field in Venezuela

2009 ◽  
Author(s):  
Argenis Jesus Alvarez ◽  
Edilena Guerra ◽  
Alexis Gammiero ◽  
Cesar Velasquez ◽  
Jose Perdomo ◽  
...  
Keyword(s):  
Network Model ◽  
Smart Wells ◽  
Reservoir Simulator
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