While outcrop models can provide important information on reservoir architecture and heterogeneity, it is not entirely clear how such information can be used exhaustively in geostatistical reservoir modeling. Traditional, variogram-based geostatistics is inadequate in that regard since the variogram is too limiting in capturing geological heterogeneity from outcrops. A new field, termed multipl...

Abstract. Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in many applications of, example, earth sciences. Valuable information can be extracted from these correlations, also helping to address often burden data scarcity. Despite value additional data, use geostatistics still falls short its potential. This problem is connected lack user-friendly sof...

The estimation of missing observations is an important research field which has practical applications in many science and engineering disciplines. In analyzing the variability of a particular data set which can be spatially related, classical statistical methods make no use of this type of information; whereas geostatistics accomodates the spatial information of the data set in its regression ...

The methods of classical geostatistics were primarily developed under a set of constraining assumptions (linear estimator, measurements are exacts, etc.) and they lack the theoretical underpinnings and practical flexibility to incorporate the many sources of information available in modern days sciences (such as physical laws, empirical models, higher statistical moments, uncertain information)...