Velit is Equipoise Software’s depth conversion software plugin for Petrel and Kingdom, which offers superior velocity modelling and depth conversion thanks to an array of features which are designed for teams which seek to increase their efficiency, vastly lessen uncertainty associated with the depth conversion and well velocity process, and also take advantage of a vast array of features which are intended to offer an extremely powerful package.
As such, the robustness of a velocity model for depth conversion depends upon a variety of factors. Velit has them all covered, and provides an industry standard tool for velocity modelling and depth conversion which is used in very many sites throughout the world as a plugin to both IHS Kingdom and Petrel software.
Striving For Geological Consistency in your Velocity Model
Consistency within Velocity models is judged by the application of the proper layering scheme – which in hard rock environments means that true geological structures are followed with consideration placed upon lithological contrasts such as bedding, folding, and faulting.
Within softer rock environments, layering may parallel topography structures or bathymetry – as velocity can be confined to a function of depth of burial within these environments. Multi-layer depth conversion compounds the problem even further, and velocity models must be divided into separate geological layers which are more than likely of differing interval velocity. As such, varying velocity models must be adapted for each layer, and depth prediction of the base of the layer is usually the seismic datum, with the base of such forming the top of the preceding layer. This conversion is repeated, layer by layer, to the last horizon of interest.
There are multiple ways of doing this, and this is where Velit in particular truly shines. Choosing the best function is an easy task within Velit, whether you are using this plugin on Petrel or IHS Kingdom, and Velit provides ways for the user to switch between varying methods and truly interrogate their data in order to evaluate the fit in the best, most effective way.
Comments
Post a Comment