FairfieldNodal’s depth imaging capability is built around a proprietary and fully integrated set of tools, workflows and algorithms that are purposefully designed to take advantage of the wide azimuth illumination that node acquisition provides.  

Carefully prepared node data is given to expert teams of model builders and depth imaging geophysicists who fully understand your imaging objectives. Our earth model building incorporates:

  • Patented process for producing 3D angle gathers from sparse node geometries
  • Global tomography
    • Full azimuth (mirror or primary)
    • Accepts OVT, common offset and angle domain common image gathers (ADCIGs)
  • Anisotropic corrections

Acquisition to final image: experts at every step.

Our expertise in node technology extends beyond acquisition.  From high performance computing to highly optimized imaging algorithms our processing and research teams are committed to providing the best technical solution to complex imaging and reservoir management problems. 

Our time and depth migration algorithms include: 

  • Kirchhoff PSTM – isotropic and anisotropic
  • Kirchhoff PSDM – isotropic and anisotropic
    • Common offset
    • Offset vector tile (OVT)
  • Wave Equation (WEM) – isotropic and anisotropic
    • Output angle domain common image gathers (ADCIG)
  • Reverse time migration (RTM) –  isotropic and anisotropic
    • Model updates with ADCIGs

Subsalt Imaging in the Delaware Basin.

2D line extraction with image ray bundles
2D line extraction from FairfieldNodal’s Delaware Basin multi-client program. Ray bundles, projected from a deep horizon, become distorted as they encounter a near surface velocity inversion caused by a thick accumulation of anhydrite.


PSTM vs. Anisotropic PSDM

Pstmdepthconverted
Anisotropic Psdm

PSTM
Pre-stack time migration does not adequately resolve the complex ray bending.

PDSM
The PSDM image is more focused in the prospective section below the anhydrite. Beyond providing a superior image, PSDM has the added benefits of providing flatter pre-stack depth gathers making it easier to separate mutiples, attenuate noise and preserve amplitude, offset and azimuthal information.