Continuous Fracture Modeling Solutions
The oil and gas industry spends billions of dollars acquiring seismic data. If all of the wells generated by this expenditure were top producing, the investment would be well spent, but this is not the case.
SIGMA³ has turned the development of a reservoir from a daunting and very expensive proposition into a straightforward and highly cost-efficient process.
The Continuous Fracture Modeling workflow fully utilizes existing data and inputs from geophysicists, geologists, and reservoir engineers to accurately represent fractures at different scales. A patented optimization engine organizes and assembles those contributions to create something that might be hard to believe – a truly predictive fracture model. CFM has been proven by the drill bit around the world and is well documented. And because you can continually update the model as new data becomes available, it never becomes dated.
SIGMA³ extracts the most pertinent information from the seismic, well and analog data. Various inversions (pre- and post-stack), resolution enhancements, spectral decomposition, volumetric curvatures, azimuthal analyses are often performed to maximize the information from seismic data. Geologists provide vital input from core, outcrop, and well log data to create a Fracture Indicator log that ties seismic information to the physical properties of the earth. Pressure and completion data from reservoir engineers incorporate knowledge of historical reservoir production into the model. CFM interactively builds the predictive fracture model using a patented structured neural network, empirically testing the validity of results against well data throughout the process.
Steps Beyond DFN
A Discrete Fracture Network (DFN) approach cannot predict fractures away from wells, and uses upscaling of randomly distributed discrete fracture planes. This generates a "noisy" permeability tensor that keeps valuable information hidden from view.
The patented Continuous Fracture Modeling method from SIGMA³ uses a geocellular grid, including seismic and geologic properties and fracture indicators at the wells to estimate the distribution of fractures and their effect on permeability and flow. Fracture models derived with CRYSTAL have been consistently able to reproduce - without history matching - at least 80% of individual well performance for any recovery mechanism, including water and gas injection.