History Matching Through a Smooth Formulation of Multiple-Point Statistics [PDF]
We propose a smooth formulation of multiple-point statistics that enables us to solve inverse problems using gradient-based optimization techniques. We introduce a differentiable function that quantifies the mismatch between multiple-point statistics of ...
Knud Skou Cordua +14 more
core +7 more sources
MPSLIB: A C++ class for sequential simulation of multiple-point statistical models
Geostatistical simulation methods allow simulation of spatial structures and patterns based on a choice of statistical model. In the last few decades multiple-point statistics (MPS) has been developed that allows inferring the statistical model from a ...
Thomas Mejer Hansen +2 more
doaj +3 more sources
Some aspects of multiple-point statistics
In many earth sciences applications, the geological structures to be reproduced are curvilinear. Although locally accurate in a minimum error variance sense, traditional methods based on some form of kriging are not sensitive to the presence of strings
DE IACO, Sandra, CONZA E.
core +2 more sources
Multiple-point statistics and non-colocational soft data integration
In geostatistics, available conditional information is typically categorized as either hard (with no uncertainty) or soft (associated with an uncertainty) data. 2-point based Gaussian (kriging) simulation methods have since their inception been able to account for hard and soft data.
Óli D. Jóhannsson, Thomas Mejer Hansen
openaire +2 more sources
Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections [PDF]
Multiple-point statistics (MPS) has shown promise in representing complicated subsurface structures. For a practical three-dimensional (3-D) application, however, one of the critical issues is the difficulty in obtaining a credible 3-D training image.
Q. Chen +7 more
doaj +1 more source
Alternative geostatistics tools applied to Morroa aquifer modeling (Sucre-Colombia)
In this paper, stochastic simulations and some multiple-point geostatistical principles are developed using a comparative methodology consisting of two phases.
Aníbal Pérez-García +2 more
doaj +1 more source
On preferred point geometry in statistics [PDF]
A brief synopsis of progress in differential geometry in statistics is followed by a note of some points of tension in the developing relationship between these disciplines. The preferred point nature of much of statistics is described and suggests the
Marriott, P. +9 more
core +1 more source
Conditioning of Multiple-Point Statistics Facies Simulations to Tomographic Images [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lochbühler Tobias +3 more
openaire +4 more sources
Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
The pore structure reconstruction of the porous media is of great importance to the research of mechanisms of fluid flow in porous media. To capture the large-scale patterns in the pore space, the multiple-point statistical technique is generally adopted
Qing Xie +3 more
doaj +1 more source
Parallelized Adaptive Importance Sampling for Solving Inverse Problems
In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli +2 more
doaj +1 more source

