Production Optimization with Adjoint Models under Nonlinear Control-State Path Inequality Constraints
By Pallav Sarma, Wen H. Chen, Louis J. Durlofsky, K. Aziz. 2008
154 citations recorded by the source corpus.
Subfields: Mechanical Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/4a28f7dc89792cd83b9dc9b584b040245d1a99a2
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
- Louis J. Durlofsky
- Jan Dirk Jansen
- Sy T. Do
- Albert C. Reynolds
- Drosos Kourounis
- K. Aziz
- Hai X. Vo
- Thomas Donald Humphries
In Ocean Engineering
- Louis J. Durlofsky
- Jan Dirk Jansen
- Sy T. Do
- Albert C. Reynolds
- Drosos Kourounis
- K. Aziz
- Hai X. Vo
- Thomas Donald Humphries
Citations in the corpus
- Use of reduced-order models in well control optimization (2017, methodology): “We refer to Jansen (2011), Kourounis et al. (2014), Sarma et al. (2008) for further discussion.”
- Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow (2014, background): “A more efficient way of approximating these gradients is to “lump” the constraints over the full simulation time frame [32].”
- Theoretical connections between optimization algorithms based on an approximate gradient (2013, methodology): “However, gradient-based methods are computationally efficient if and only if adjoint code is available that allows one to compute the gradient with the equivalent of one “backward-in-time” reservoir simulation run [3, 10, 19, 21, 30, 31, 42].”