Some of the key geoscience challenges for characterizing unconventional reservoirs include:
- Poorly processed and conditioned geophysical data for identifying sweet spots in unconventional reservoirs
- Ambiguous 3D natural fracture architecture
- Misunderstood roles of natural fractures in the productivity of unconventional reservoirs
- Failure to accurately and quantitatively characterize the geobodies of brittle rocks in unconventional reservoirs
Our solution includes the following steps generated by using all available geological, well, seismic and production data.
- High fidelity 3D pre-stack depth imaging
- Tomographic static correction
- Amplitude preserving processing throughout the workflow
- Adaptive model based noise and multiple attenuation
- Automatic velocity optimization
- Amplitude preserving pre-stack depth migration
- Data conditioning for pre-stack inversion
- Embedded Fracture Modeling
- Discrete fracture network (DFN) generation for natural fractures using both well logs, cores and multi-attribute 3D seismic data
- Estimation of rock elastic properties using 3D pre-stack seismic inversion following high fidelity pre-stack depth imaging
- Log data electrofacies analysis and classification of brittle lithology calibrated with mineralogical composition and elastic properties
- Multi seismic attribute (Young’s modulus, Poisson’s ratio and bulk modulus) facies analysis and calibration with log properties
- Geobody modeling using brittleness index
- Embedded Fracture Modeling by combining natural fractures and brittle geobodies
Our solution of Embedded Fracture Modeling (EFM) for unconventional reservoirs has the following key benefits:
- Providing a embedded fracture model for quantitative identification of sweet spots
- Providing a brittleness index geobody model for well planning
- Providing a discrete fracture model (DFN) with fracture density, orientation and connectivity for avoiding drilling hazards
Please contact us with information about your challenges to see how we can help you.