• Disciplines: Geophysics

  • (n/a) HampsonRussell (AVO+):
  • USD/HR:

    0-40

    40-80

    80-160

    160+

  • USD/MONTH

  • (n/a) HampsonRussell (AVO+, Strata):
  • USD/HR:

    0-40

    40-80

    80-160

    160+

  • USD/MONTH

  • (n/a) HampsonRussell (AVO+, Strata, Emerge):
  • USD/HR:

    0-40

    40-80

    80-160

    160+

  • USD/MONTH

  • (n/a) HampsonRussell (RockSI+):
  • USD/HR:

    0-40

    40-80

    80-160

    160+

  • USD/MONTH

About

AVO performs prestack seismic analysis and reservoir reconnaissance. This module has the tools for conditioning prestack seismic data to produce optimum attribute volumes, crossplotting and interpretation functions for locating AVO anomalies, and AVO modeling tools for calibration. Customizable workfows and the integration of AVO tools into the Geoview interface make sophisticated AVO analysis simple.

Strata performs both poststack and prestack inversions. In the conventional poststack domain, Strata analyzes poststack seismic volumes to produce an acoustic impedance volume. In the prestack domain, Strata analyzes angle gathers or angle stacks to produce volumes of acoustic impedance, shear impedance and density.

Emerge is a geostatistical, attribute prediction module that predicts property volumes using well logs and attributes from seismic data. The predicted properties can be any available log types: such as porosity, velocity, density, gamma-ray, lithology and water saturation. Emerge can also be used to predict missing logs or parts of logs by leveraging existing logs that are common to the available wells.

RockSI is a powerful tool for exploring the link between rock properties and seismic data for quantitative interpretation and feasibility studies. It can create detailed Petro-Elastic Models (PEMs), calibrate them with well data, and generate 3D and 4D Rock Physics Templates which show the relationship between elastic attributes, lithology, saturation, and pressure. It also provides statistical rock physics capabilities, using Monte Carlo simulation, to create training data sets for lithology classication when well data are sparse, or to simulate the seismic signature of different production scenarios.