Abstract - The sand connectivity in object- and pixel-based models is inevitably controlled
by the proportion of sand present, and these methods seem unable to generate models
that reproduce systems with low connectivity at high net:gross ratios. A new
workflow is described which addresses this limitation and permits poorly
connected facies models conditioned to well data to be built. The approach
combines the compression algorithm with multiple-point statistics (MPS) modelling.
Geometrically transformed wells and appropriately scaled training images provide the
inputs to the MPS modelling. The inverse transformation is applied to the
resultant MPS model, leading to the creation of reservoir geomodels with
realistic, user-defined connectivity while also honouring well data. The
approach is described and validated using a range of models. Considerations
of other potential workflows using different types of training image suggest
that application of the compression algorithm using this newly-developed
workflow may be necessary in general to achieve models with realistic connectivity
using the simplest and most widely-available pixel-based MPS method (the SNESIM algorithm).
Marine and Petroleum Geology, 2021, doi: https://doi.org/10.1016/j.marpetgeo.2021.105104