Université de Neuchâtel

Constraining distance-based multipoint simulations to proportions and trends

Mariéthoz, Grégoire ; Straubhaar, J ; Renard, Philippe ; Chugunova, T ; Biver, P

In: Environmental Modelling & Software, 2015, vol. 72, p. 184-197

In the last years, the use of training images to represent spatial variability has emerged as a viable concept. Among the possible algorithms dealing with training images, those using distances between patterns have been successful for applications to subsurface modeling and earth surface observation. However, one limitation of these algorithms is that they do not provide a precise control on the...

Université de Neuchâtel

Random partitioning and adaptive filters for multiple-point stochastic simulation

Sharifzadehlari, M ; Fathianpour, N ; Renard, Philippe ; Amirfattahi, R

In: Stochastic Environmental Research and Risk Assessment, 2018, vol. 32, p. 1375-1396

Multiple-point geostatistical simulation is used to simulate the spatial structures of geological phenomena. In contrast to conventional two-point variogram based geostatistical methods, the multiple-point approach is capable of simulating complex spatial patterns, shapes, and structures normally observed in geological media. A commonly used pattern based multiple-point geostatistical simulation...

Université de Neuchâtel

Geothermal state of the deep Western Alpine Molasse Basin, France-Switzerland

Chelle-Michou, C ; Do Couto, D ; Moscariello, A ; Renard, Philippe ; Rusillon, E

In: Geothermics, 2017, vol. 67, p. 48-65

Over the last few years the Western Alpine Molasse Basin (WAMB) has been attracting large institutional, industrial and scientific interest to evaluate the feasibility of geothermal energy production. However, the thermal state of the basin, which is instrumental to the development of such geothermal projects, has remained to date poorly known. Here, we compile and correct temperature...

Université de Neuchâtel

Geological realism in hydrogeological and geophysical inverse modeling : A review

Linde, Niklas ; Renard, Philippe ; Mukerji, Tapan ; Caers, Jef

In: Advances in Water Resources, 2015, vol. 86, p. 86-101

Scientific curiosity,exploration of georesources and environmental concerns are pushing the geoscientific research community toward subsurface investigations of ever-increasing complexity.This review explores various approaches to formulate and solve inverse problems in ways that effectively integrate geological concepts with geophysical and hydrogeological data. Modern geostatistical simulation...

Université de Neuchâtel

Stochastic forecasts of seawater intrusion towards sustainable groundwater management : application to the Korba aquifer (Tunisia)

Kerrou, Jaouher ; Renard, Philippe ; Cornaton, Fabien ; Perrochet, Pierre

In: Hydrogeology Journal, 2013, vol. 21, no. 2, p. 425-440

A stochastic study of long-term forecasts of seawater intrusion with an application to the Korba aquifer (Tunisia) is presented. Firstly, a geostatistical model of the exploitation rates was constructed, based on a multi-linear regression model combining incomplete direct data and exhaustive secondary information. Then, a new method was designed and used to construct a geostatistical model of the...

Université de Neuchâtel

3D multiple-point statistics simulation using 2D training images

Comunian, A. ; Renard, Philippe ; Straubhaar, Julien

In: Computers & Geosciences, 2011, vol. 40, p. 49-65

One of the main issues in the application of multiple-point statistics (MPS) to the simulation of three-dimensional (3D) blocks is the lack of a suitable 3D training image. In this work, we compare three methods of overcoming this issue using information coming from bidimensional (2D) training images. One approach is based on the aggregation of probabilities. The other approaches are novel. One...

Université de Neuchâtel

Reconstruction of Incomplete Data Sets or Images Using Direct Sampling

Mariethoz, Grégoire ; Renard, Philippe

In: Mathematical Geosciences, 2010, vol. 42, no. 3, p. 245-268

With increasingly sophisticated acquisition methods, the amount of data available for mapping physical parameters in the geosciences is becoming enormous. If the density of measurements is sufficient, significant non-parametric spatial statistics can be derived from the data. In this context, we propose to use and adapt the Direct Sampling multiple-points simulation method (DS) for the...