GEO-X

Oil and GasCanada2-10 Employees

SEISMIC PROCESSING
GEO-X provides land based 2D/3D/4D seismic data processing and analysis including time processing, depth imaging, and reservoir characterization for oil & gas and mining industries.  Geo-X involves our research and development team in all projects from day one, giving our customers the most technologically advanced seismic data processing services.
With decades of experience, our team has a reputation for commitment to quality work, customer service and the delivery of superior products for your geophysical needs.

AVO ANALYSIS
- AVO attributes, eg P & S reflectivities, fluid factor etc.
- Fracture detection, azimuthal AVO (AVAZ) and layer-stripping VVAZ
- AVO modelling based on well log curves

RESERVOIR CHARACTERIZATION
- Inversion:  
Post stack acoustic inversion on stacks and AVO attributes
Prestack simultaneous inversion on gathers
- Rock Physics:  
Neural network analysis of well logs and seismic data
Rock physics
Facies classification
Fluid prediction

DEPTH IMAGING
Geo-X enhances subsurface image quality by applying the following procedures, which in turn provides accurate positioning of geological structures.
- Interactive velocity building, QC and testing
- Ray tracing based tomography velocity analysis
- 3D Grid Based, 3D Layer Based and 3D Well Tie Tomography
- Horizon based velocity model building
- Multidisciplinary Approach and Data Integration

5D ASFT PRESTACK INTERPOLATION
Geo-X's world leading proprietary 5D interpolation regularizes seismic data to satisfy the requirements of processing algorithms such as PSDM. It works in the corresponding frequency/wave number domains of inline, x-line, offset, azimuth and time, or inline, x-line, offset_x, offset_y and time.  Unlike other methods, ASFT, Arbitrarily Sampled Fourier Transform, does not snap the input traces into the bin centres of a regular grid and does not restrict the wave numbers in a grid system. Therefore, it doesn't smear the geological structure and does not alter the pre-existing AVO trends in the data.

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