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HampsonRussell

Comprehensive Geophysical Solutions

Easy-to-use, advanced geophysical interpretation and analysis technology

This comprehensive suite of reservoir characterization tools integrates well logs, seismic data and geophysical processes into an easily navigated, intuitive package for fast results. Known for its ease of use, HampsonRussell makes sophisticated geophysical techniques accessible.

Solving Key Industry Challenges

Reduce the risks and costs associated with exploration and production with world-class, advanced geophysical interpretation and analysis from our HampsonRussell software.

Prospect Ranking

Field Development

  • Find the reservoir sweet spots with inversion
  • Understand your rocks and simulate properties 
  • Map pay zones with facies analysis 
  • Evaluate uncertainty in reservoir predictions

Maximize reservoir recovery

  • Predict reservoir properties like porosity and saturation 
  • Stay in zone by performing facies analysis 
  • Get a more detailed view of thin beds 

Sophisticated geophysical techniques accessible to all geoscientists

HampsonRussell is a comprehensive suite of reservoir characterization tools that integrate well logs, seismic data and geophysical processes into an easily navigated intuitive package for fast results.

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AVO modeling and analysis

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Conditioning of pre-stack gathers

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Post-stack and pre-stack inversion methods

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Multi-attribute analysis and neural network-based log and volume predictions

HampsonRussell Modules

GeoAI

AVO

Strata

GeoSI

LithoSI

Emerge

WellGen

RockSI

ProAZ

Multi-Node Processing (MNP)

Attributes

MapPredict

Pro4D

ProMC

Gather Conditioning

Geoview

AFI

GeoAI

GeoAI

Convolutional Neural Network, rock physics-driven reservoir property predictions

GeoAI provides an innovative approach to seismic reservoir characterization that simultaneously predicts multiple reservoir properties using a streamlined machine learning workflow. This method uses a rock physics driven machine learning technique, which is informed by rock physics theory and statistical simulations to generate synthetic data for a range of geological scenarios. By employing Convolutional Neural Networks (CNNs), GeoAI can efficiently estimate multiple rock property volumes with high resolution and agreement to blind wells.

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AVO

Strata

GeoSI

LithoSI

Emerge

WellGen

RockSI

ProAZ

Multi-Node Processing (MNP)

Attributes

MapPredict

Pro4D

ProMC

Gather Conditioning

Geoview

AFI

Get In Touch

We are dedicated to providing unique customer-oriented reservoir characterization solutions. Let’s talk about how we can assist you in making the most efficient and accurate decisions.