by Geomodeling | May 28, 2013 | Academic Research, Published Case Studies, SBED
New reservoir characterization methods are needed to integrate multiscale exploration and development data, particularly at the interface between well and field models. In this paper, we illustrate a novel workflow involving high-resolution near-wellbore modeling... read more
by Geomodeling | Apr 30, 2012 | Academic Research, Featured Publications, Published Case Studies, SBED, Tidal Influenced Reservoirs
The major challenge in reservoir characterization is to estimate the effective porosity and the permeability of the reservoir due to reservoir heterogeneity. Often the vertical and the horizontal permeability are not considered separately in 3D geo-cellular models and... read more
by Geomodeling | Feb 9, 2012 | Articles, Attribute Studio, Featured Publications, Published Case Studies
Being “interactive” is not only important for traditional seismic interpretation, which maps subsurface structural and stratigraphic features; it should also be an essential feature in the seismic attribute analysis for reservoir characterization and prediction. In... read more
by Geomodeling | Apr 13, 2011 | Featured Publications, Published Case Studies, SBED
Burrowing organisms displace and mix sedimentary grains by burrowing, feeding and relocating. Their activity within the substrate can add to sedimentary heterogeneity, but more importantly alters horizontal and vertical permeability. Understanding the subtle changes... read more
by Geomodeling | Jun 11, 2009 | Published Case Studies, SBED
Future workflows for water saturation interpretation in heterogeneous intervals, should take the heterogeneity into account in a robust manner. We want fine-scale geology to be modelled realistically, down towards mm-scale when appropriate, and populate these models... read more
by Geomodeling | Jun 10, 2009 | Published Case Studies, Reservoir Studio
An important task in constructing digital reservoir models is the capture of geological detail with sufficient resolution to reduce the uncertainty inherent in interpolation between discrete data points. Even the most sophisticated mathematical or statistical... read more
