Pre-Stack Pro (PsPro) is the first Big Data pre-stack seismic gather visualization and data analysis application deployed on High Performance Compute (HPC) enabling efficient analysis of tens of terabyte-scale datasets. PsPro’s modern all-parallel code uniquely provides unprecedented speed, real-time, in-memory processing and analysis which scales linearly across servers.

• Flexible software leasing and license models for quick scale-up and scale-out
• Amazon SaaS offering with no upfront IT investment allowing unlimited compute scalability
• Consultancy Services include:
  • high fidelity pre-stack gather enhancement
  • amplitude analysis and quantitative reservoir characterization
  • full azimuth analysis of marine streamer, OBN/OBC and unconventional datasets (for the latter, azimuthal anisotropy, accelerating predictions of fracture systems)
  • collaborative data analysis Boot Camps resulting in improved subsurface models for prospect evaluation and ranking, resource estimation, and de-risking drilling decisions
  • full pre-stack seismic inversion for detailed study of reservoirs

• Fast processing speed, full multi-core usage, and scalable server architecture
• Full fidelity pre-stack analysis - every trace analyzed without compromise
• QC, processing, and interpretation in one integrated geophysical workflow

• Enhance seismic data quality for quantitative seismic amplitude analysis in order to improve the reservoir image and predict fluid fill
• Perform high quality AVO/AVA analysis, frequency decomposition, seismic inversion, and time lapse analysis for reservoir monitoring
• Calibrate the seismic response to wells to determine elastic rock properties and estimate their response when convolved with a wavelet
• Apply full-azimuth capabilities to marine towed streamer, OBC/OBN, and onshore conventional and unconventional acquisition data volumes
• Perform post-migration processing workflows to Multi-Client surveys and generate both enhanced stacks and AVO/AVA products for exploration prospectivity analysis