C. Lantuéjoul - Academia.edu (original) (raw)

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Papers by C. Lantuéjoul

Research paper thumbnail of A spectral approach to simulating intrinsic random fields with power and spline generalized covariances

Computational Geosciences, 2008

This article presents a variant of the spectral turning bands method that allows fast and accurat... more This article presents a variant of the spectral turning bands method that allows fast and accurate simulation of intrinsic random fields with power, spline, or logarithmic generalized covariances. The method is applicable in any workspace dimension and is not restricted in the number and configuration of the locations where the random field is simulated; in particular, it does not require these locations to be regularly spaced. On the basis of the central limit and Berry-Esséen theorems, an upper bound is derived for the Kolmogorov distance between the distributions of generalized increments of the simulated random fields and the normal distribution.

Research paper thumbnail of Estimating the trace length distribution of fractures from line sampling data

This paper deals with the estimation of the length distribution of the set of traces induced by a... more This paper deals with the estimation of the length distribution of the set of traces induced by a fracture network along an outcrop. Because of field constraints (accessibility, visibility, censorship, etc…), all traces cannot be measured the same way. A measurement protocol is therefore introduced to systematize the sampling campaign. Of course, the estimation procedure must be based on this

Research paper thumbnail of TBSIM: A computer program for conditional simulation of three-dimensional Gaussian random fields via the turning bands method

Computers & Geosciences, 2006

The simulation of spatially correlated Gaussian random fields is widespread in geologic, hydrolog... more The simulation of spatially correlated Gaussian random fields is widespread in geologic, hydrologic and environmental applications for characterizing the uncertainty about the unsampled values of regionalized attributes. In this respect, the turning bands method has received attention among practitioners, for it allows multidimensional simulations to be generated at the CPU cost of one-dimensional simulations.

Research paper thumbnail of Estimating fracture density from a linear or areal survey

Research paper thumbnail of A spectral approach to simulating intrinsic random fields with power and spline generalized covariances

Computational Geosciences, 2008

This article presents a variant of the spectral turning bands method that allows fast and accurat... more This article presents a variant of the spectral turning bands method that allows fast and accurate simulation of intrinsic random fields with power, spline, or logarithmic generalized covariances. The method is applicable in any workspace dimension and is not restricted in the number and configuration of the locations where the random field is simulated; in particular, it does not require these locations to be regularly spaced. On the basis of the central limit and Berry-Esséen theorems, an upper bound is derived for the Kolmogorov distance between the distributions of generalized increments of the simulated random fields and the normal distribution.

Research paper thumbnail of Estimating the trace length distribution of fractures from line sampling data

This paper deals with the estimation of the length distribution of the set of traces induced by a... more This paper deals with the estimation of the length distribution of the set of traces induced by a fracture network along an outcrop. Because of field constraints (accessibility, visibility, censorship, etc…), all traces cannot be measured the same way. A measurement protocol is therefore introduced to systematize the sampling campaign. Of course, the estimation procedure must be based on this

Research paper thumbnail of TBSIM: A computer program for conditional simulation of three-dimensional Gaussian random fields via the turning bands method

Computers & Geosciences, 2006

The simulation of spatially correlated Gaussian random fields is widespread in geologic, hydrolog... more The simulation of spatially correlated Gaussian random fields is widespread in geologic, hydrologic and environmental applications for characterizing the uncertainty about the unsampled values of regionalized attributes. In this respect, the turning bands method has received attention among practitioners, for it allows multidimensional simulations to be generated at the CPU cost of one-dimensional simulations.

Research paper thumbnail of Estimating fracture density from a linear or areal survey

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