Model Natural Fractures
When modeling unconventional and fractured reservoirs, SIGMA³ relies on simultaneous use of multiple seismic attributes. A proprietary neural network is used to find a relationship between the reservoir properties and the multitude of seismic attributes available, which are then ranked to identify the attributes that are directly correlated with reservoir, geologic and rock properties.
Stochastic inversion is used to further enhance the resolution of our geologic models by integrating well log data with the enhanced seismic resolution provided by our broadband spectral inversion tools. The result is a detailed variation of reservoir properties needed to capture the effects of reservoir heterogeneity on fluid flow.
Our Continuous Fracture Modeling (CFM™) technology allows us to combine derived seismic attributes and geologic models to closely estimate the distribution of the natural fracture density of the reservoir. Such information has been tested successfully by the drill bit.
|Natural fractures along the wellbore.
When pre-stack seismic data are available, the results of using our workflow are enhanced by estimating key elastic properties to derive brittleness, as well as other petrophysical properties, such as gamma ray and porosity generated through our Extended Elastic Inversion (EEI) method.
|Pre-stack elastic inversion for brittleness and key rock properties.
|Gain a better understanding of microseismic events through SIGMA³ natural fracture density and brittleness models.