Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization

By Satomi Suzuki, Guillaume Caumon, Jef Caers. 2008

111 citations recorded by the source corpus.

Subfields: Geochemistry and Petrology, Mechanical Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/2c65e713235a2ce48bbb9ce70af1a4e892a93eef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geochemistry and Petrology

1. Mehrdad Honarkhah
2. Philippe Renard
3. Jef Caers

In Mechanical Engineering

1. Philippe Renard
2. Mehrdad Honarkhah
3. A. Alcolea
4. Jef Caers
5. Muhammad Sahimi
6. Pejman Tahmasebi

In Ocean Engineering

1. Philippe Renard
2. Jef Caers
3. Mehrdad Honarkhah
4. A. Alcolea
5. Muhammad Sahimi
6. Pejman Tahmasebi
7. Gregoire Mariethoz
8. Julien Straubhaar

Citations in the corpus

• A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments (2009, unknown): “[122]).”
• Blocking Moving Window algorithm: Conditioning multiple‐point simulations to hydrogeological data (2010, background): “An alternative, also embedding MP geostatistics, consists of considering the inverse problem as a search problem [Suzuki and Caers, 2006; Suzuki et al., 2008 ], as opposed to the traditional sensitivity‐based optimization.”
• Multiple-point geostatistical modeling based on the cross-correlation functions (2012, unknown): “patterns (see, for example, [2, 3, 6, 35, 57, 70, 71]).”
• Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling (2010, methodology): “One of the new tools in modeling, in general, are the distance-based methods (Caers and Park, 2008; Caers, 2008a; Park et al., 2008b; Suzuki and Caers, 2008; Suzuki et al., 2008).”