This webinar will be presented live with local experts from Ikon Science to discuss the unique needs and challenges.
- Wednesday, October 13th, 2pm BST (London)/ 8am CDT (Houston)
- Thursday, October 14th, 2pm MYT (Kuala Lumpur/Perth)
What we'll discuss:
In this webinar, we will perform a Bayesian Facies classification comparing two methods of seismic inversion: the low-frequency-dependent Simultaneous Inversion and the Joint-Impedance Facies Inversion (Ji-Fi) in an unconventional reservoir. We will see how the facies classification differs between the two methods where no well control exists for building the low-frequency model required for Simultaneous Inversion. Additional comparisons were made when a different well set is used in the low-frequency model used for the Simultaneous Inversion, showing how results can vary depending on the number (and location) of the wells, therefore increasing uncertainties in the prediction of elastic properties and facies. Ji-Fi, which is proven for being un-biased toward a low-frequency model, showed a more consistent results when comparing with well log data. Results depend on the quality of seismic data.
Consistency is required in unconventional reservoirs for determining facies with high organic content and porosity as well as and estimate elastic properties required to calculate stresses in the reservoir. This stresses are the input for Geomechanical models used to estimate drilling hazards (wellbore deformation), drilling planning (direction of induced fracturing based on horizontal stresses, etc).
