Production optimization for oilfields using a mixed-integer nonlinear programming model
US8600717B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2010 |
| Grant date | Dec 3, 2013 |
| Priority date | — |
| Expiry date | Feb 14, 2032 |
Classification
- Technology area (CPC E)Fixed Constructions
- CPC primaryE21B43/12
- WIPO fieldCivil engineering
- WIPO sectorOther fields
Abstract
A system performs production optimization for oilfields using a mixed-integer nonlinear programming (MINLP) model. The system uses an offline-online approach to model a network of interdependent wells in an online network simulator while modeling multiple interdependent variables that control performance as an offline MINLP problem. The offline model is based on production profiles established by assuming decoupled wells in the actual network of wells. In one example, an amount of lift-gas to inject and settings for subsurface chokes are optimized. An offline solver optimizes variables through the MINLP model. Offline results are used to prime the online network simulator. Iteration between the offline and online models results in a convergence, at which point values for the interdependent variables are communicated to the real-world oilfield to optimize hydrocarbon production.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.