Equipoise Software are credited for the creation of InSeis and Velit, two fundamentally similar, but very different programs. Both Velit and InSeis are developed to be additional products (plug-ins) for Schlumberger’s widely acclaimed Petrel system, as well as modules for IHS Kingdom. Both products also work to improve the effectiveness and the accuracy of Petrel, as well as increase efficiency for the user involved.
Equipoise Software have taken great pains to state that both products keep their “no black box” approach to heart, which allows the user to examine, adapt and add to their methods according to their requirement, and both products are the result of Equipoise Software’s ongoing endeavour to work with high-quality data and use the expertise of their sister consultancy company ERC Equipoise as well as a great deal of other industry associates in order to develop programs which are both robust and technically advanced. Essentially, heads and shoulders over their competitors.
That is where the similarities between the programs end.
Velit is a program which is intended to use a truly extensive library of velocity modelling methods which use well velocities and seismic processing velocities in order to build a precise, and far more accurate than without picture of geological surfaces. Equipoise Softwares’ Velit comes with a wide-ranging number of features in order to properly interrogate your data and enhance your operational efficiency, as well as vastly remove any margin for error.
InSeis allows you to use a variety of two different seismic inversion techniques, namely coloured inversion and simulated annealing inversion, to turn any seismic signal into an acoustic impedance layer model. Coloured inversion is fast and lightweight and will enable you to quickly generate a data type which will allow a far more accurate representation of what you are trying to examine.
While simulated annealing inversion is considerably more complex, it results in absolute acoustic impedance which is imperative for calculation within well log data – which in themselves are the key component of petrophysical volumes.