Hierarchical Multiscale Methods for Life-Cycle Production Optimization: A Field Case Study

2015 ◽  
Author(s):  
D. F. Oliveira ◽  
A. Reynolds
Keyword(s):  
Life Cycle ◽  
Multiscale Methods ◽  
Production Optimization ◽  
Field Case ◽  
Hierarchical Multiscale

Production Optimization over 20% with Artificial Lift ESP Pilot Systems in Mature Oil Field, Case Study from Middle East

2014 ◽  
Author(s):  
Hector Aguilar ◽  
Aref Almarzooqi ◽  
Tarek Mohamed El Sonbaty ◽  
Leigber Villarreal
Keyword(s):  
Middle East ◽  
Production Optimization ◽  
Oil Field ◽  
Field Case ◽  
Artificial Lift

Field Development and Production Optimization Integrating Reservoir Compaction, Sand Production and Wellbore Stability Modeling: A Field Case Study

2011 ◽  
Author(s):  
Osmar Rene Alcalde ◽  
Cem Ozan ◽  
Gerardo Jimenez Malpica ◽  
Luis Alejandro Perez Suarez ◽  
Jose Alvarellos ◽  
...  
Keyword(s):  
Production Optimization ◽  
Wellbore Stability ◽  
Sand Production ◽  
Field Case ◽  
Field Development ◽  
Reservoir Compaction ◽  
Stability Modeling

Hierarchical Multiscale Methods for Life-Cycle-Production Optimization: A Field Case Study

SPE Journal ◽  
2015 ◽  
Vol 20 (05) ◽  
pp. 896-907 ◽  
Author(s):  
D. F. Oliveira ◽  
A. C. Reynolds
Keyword(s):  
Net Present Value ◽  
Simple Procedure ◽  
Optimization Techniques ◽  
Multiscale Methods ◽  
Production Optimization ◽  
Real Field ◽  
Historical Period ◽  
Reference Case ◽  
Multiscale Optimization ◽  
Hierarchical Multiscale

Summary We apply hierarchical multiscale techniques previously developed by the authors to estimate the well controls that maximize the net present value of the long-term production from a real field offshore Brazil. This field has been in production for several years, and it represents a significant share of the overall oil production for the country. The production-optimization step is preceded by a 10-year historical period, where seismic and production data were history matched by use of ensemble-based approaches. The well controls on a sequence of control steps (time intervals) are optimized for the next 10 years of production by use of the hierarchical-multiscale-optimization and the refinement-indicator-based hierarchical-multiscale-optimization techniques, which refine the control steps as the optimization proceeds. The performance of our approaches is compared with that of a reference case, which applies the well rates used to forecast the production of the real field, as well as with the performance of a standard optimization procedure that uses a fixed set of well controls and a simple procedure to refine control steps.

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