New D.S.I. Architecture for Vectorial Properties in Grid Objects: Application in Estimation of Constrained Probability Fields

@inproceedings{ShtukaRM1996b,
 abstract = { In various engineering studies, data are defined as vectors rather than scalar, for example orientations in geological formations (petrofabric, faults, fractures, rock joints, facies indicators.), geophysical survey data, or characteristics of hydraulic and oil reservoirs. Vectorial variables, as weil as spatial variability, can be estimated by different interpolation methods. There exists a large set of mathematical methods in this domain and the most active field of research in geostatistics is the stochastic simulation. The main trend of this research is the development of new methods and algorithms in order to take into account a large number of constraints and heterogeneous data. One of advantages of the D.S.!. method is the flexibility and facility to take into account for large set of additional constraints which should result in a better solution. In this paper we present the new implementation in GOCAD of D.S.!. algorithm for vectorial properties in grid abjects and an example of application for estimation of local probability density function. },
 author = { Shtuka, Arben AND Mallet, Jean-Laurent },
 booktitle = { 14th gOcad Meeting },
 month = { "november" },
 publisher = { ASGA },
 title = { New D.S.I. Architecture for Vectorial Properties in Grid Objects: Application in Estimation of Constrained Probability Fields },
 year = { 1996 }
}