A derivative-free methodology with local and global search for the constrained joint optimization of well locations and controls

By Obiajulu J. Isebor, Louis J. Durlofsky, D. Echeverría Ciaurri. Computational Geosciences, 2014

157 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/64c16a499eb3ba2d5ab90fc839ed8ee5dd154acd

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

1. R. Hanea
2. M. Jesmani
3. Bjarne A. Foss
4. Mathias C. Bellout
5. Thomas Donald Humphries
6. Ronald D. Haynes

In Ocean Engineering

1. R. Hanea
2. M. Jesmani
3. Bjarne A. Foss
4. Mathias C. Bellout
5. Thomas Donald Humphries
6. Ronald D. Haynes

Citations in the corpus

• Joint optimization of well placement and control for nonconventional well types (2014, background): “This has been shown to be true in previous studies (Isebor et al., 2013; Humphries et al., 2013).”
• Well placement optimization subject to realistic field development constraints (2016, methodology): “In [11], the filter-type approach is further used to handle nonlinear constraints including the inter-well distance of vertical wells and field rate constraints.”