Discussion Topics and Abstracts
Understanding Shale Resource Plays
Shale is highly heterogeneous in nature. This quality brings challenges to shale reservoir exploration and production. Geoscientists have been searching for solutions that can determine and qualify the “sweet spots” where the production and recovery rate are the highest in the shale formation. Seismic attributes often provide the key to an in-depth understanding of the heterogeneity of shale formations. See how Paradigm’s solution recovers favorable fluid content, 3D distribution of shale brittleness, and in-situ stress magnitude, for upgraded sweet spot determination enabling optimum well placement.
Seismic data characterizations for stress and fracture determination are compromised and even flawed when time domain and azimuthal sectoring procedures are used. Imagine a system that characterizes shales with in-situ measurements in depth, from all directions. Paradigm EarthStudy 360®
achieves these objectives and makes seismic data highly relevant for shale resource plays.
Featured Paradigm technologies: EarthStudy 360®, VoxelGeo®, Seismic Attributes, Stratimagic®, Probe®
Advanced Fracture Modeling
Fracture modeling is an essential tool in both exploration and development plays, to help understand factors such as top seal integrity and connectivity. It also plays a key role in well placement and borehole stability. Performing DFN (Discrete Fracture Network) modeling, constrained by seismic attributes, volume strain and other 3D data, creates a geologically realistic fracture network, enabling the generation of a more accurate reservoir model. We utilize the SKUA®
stratigraphy and fault analysis module to condition fracture orientation and intensity, generate a DFN within the geologic model, and update the fracture model with new data, for a more complete understanding of possible reservoir production.
Featured Paradigm technologies: SKUA® and FracMV
Carbonate Formation Evaluation
Determining lithology and porosity in the Jurassic-aged Smackover carbonate reservoir in GOM, by means of a probalistic analysis, aims to simultaneously incorporate all logging data to derive a ‘best fit’ lithological solution. The results of this workflow will delineate the productive zones within a carbonate reservoir and provide a measurable certainty, by means of quality curves and log reconstruction, of the perceived mineral assemblage (geological model) within the reservoir.
Featured Paradigm technologies: Geolog® Multimin