Optimal well placement using an adjoint gradient
By Kai Zhang, Gaoming Li, Albert C. Reynolds, Jun Yao, Liming Zhang. 2010
67 citations recorded by the source corpus.
Subfields: Mechanical Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/33d677e7b456c6590da40d3cf8a2ab38d4c54ef3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mechanical Engineering
- Bjarne A. Foss
- Mathias C. Bellout
- Thomas Donald Humphries
- Ronald D. Haynes
- D. Echeverría Ciaurri
- Obiajulu J. Isebor
- J. Kleppe
- Louis J. Durlofsky
In Ocean Engineering
- Bjarne A. Foss
- Mathias C. Bellout
- Thomas Donald Humphries
- Ronald D. Haynes
- D. Echeverría Ciaurri
- Obiajulu J. Isebor
- J. Kleppe
- Louis J. Durlofsky
Citations in the corpus
- A derivative-free methodology with local and global search for the constrained joint optimization of well locations and controls (2014, methodology): “Gradient-based approaches have also been applied for these problems [39, 45, 46], though these methods may get trapped in relatively poor local optima.”
- Joint optimization of oil well placement and controls (2012, background): “The work introduced in [37], and later enhanced in [41] and [18], aims primarily at well placement, and”
- Joint optimization of well placement and control for nonconventional well types (2014, methodology): “Gradient-based optimization approaches have been successfully adapted to the well placement problem in some cases as well (Zandvliet et al., 2008; Zhang et al., 2010).”