Advances in reservoir characterization and modeling have given the industry improved ability to build detailed geological models of petroleum reservoirs. These models are characterized by complex shapes and structures with discontinuous material properties that span many orders of magnitude. Models that represent fractures explicitly as volumetric objects pose a particular challenge to standard...

Stochastic simulation is a popular approach for the quantification of reservoir heterogeneity. From the geological viewpoints, however, the role of reservoir geology in stochastic models is diminishing in recent years. This paper reviews the major characteristics of the stochastic models, and geological knowledge is identified as the major missing element in the current practices of the simulat...

A new method is presented which combines a forward and an image operator (resolution function) to construct a simulated migrated seismic section from a geological depth model. To efficiently use this tool during seismic interpretation, a fast implementation is necessary. This is achieved by improving the performance of the serial algorithm.

This paper presents a quantitative modeling for delineating alteration zones in the hypogene zone of the Miduk porphyry copper deposit (SE Iran) based on the core drilling data. The main goal of this work was to apply the Ordinary Kriging (OK), Artificial Neural Networks (ANNs), and Concentration-Volume (C-V) fractal modelings on Cu grades to separate different alteration zones. Anisotropy was ...

Throughout this dissertation, solutions for rapid digitalization of ideas will be defined. More precisely, the focus is on interactive scientific sketching and communication of geology, where the result is a digital illustrative 3D model. Results are achieved through a sketch-based modelling approach which gives the user a more natural and intuitive modelling process, hence leading to a quicker...

The geological sciences are challenged to manage and interpret increasing volumes of data as observations and simulations increase in size and complexity. For example, simulations of earthquake-related processes typically generate complex, time-varying data sets in two or more dimensions. To facilitate interpretation and analysis of these data sets, evaluate the underlying models, and to drive ...

Stochastic reservoir models must honor as much input data as possible to be reliable numerical models of the reservoir under study. Traditional simulation algorithms are unable to honor either complex geological/morphological patterns or engineering data from well tests. The technique developed in this dissertation may be used to incorporate such information into stochastic reservoir models. Th...

The Geological Survey of the Netherlands (GSN) produces 3D stochast ic geological models of the upper 50 meters of the Dutch subsurface. The voxel models are regarded essential in answering subsurface questions on, for example, aggregate resources, groundwater flow, land subsidence studies and the planning of large-scale infrastructural works such as tunnels. GeoTOP is the most recent and detai...