Data conditionning – Seismic inversion – Characterization – Time depth conversion

InterWell, the geophysical solution from Beicip-Franlab

The leading-edge software with comprehensive workflows, to conduct end-to-end geophysical studies, from defining your Rocks physics model, running QC and seismic data conditioning, seismic inversion, to subsurface characterization, and depth conversion.

Main features

An evolutive software daily used by specialists in multidisciplinary projects

Data conditioning

Adapted conditioning processes and angle-stacks generation to preserve amplitudes for realistic AVO interpretation during pre-stack inversion.

Seismic inversion

Result of decades of R&D from IFPen, InterWell embeds all leading-edge inversion workflows : post/pre-stack 4D, multi-component, inter-bed multiple modelling, stochastic.

Characterization (QI)

Pioneer in matrix and fracture characterization, InterWell integrates machine learning tools, to evaluate key rock properties, lithologies, porosity and fluid saturation.

Time-Depth conversion

InterWell proposes combined workflow (log, map or formula-based), to design the velocity model adapted to the available data and the geological context.


Years of innovation







Many types of data easy to use as well as to visualize

All types of seismic inversion in the same survey. Visualization of data from different surveys / CRS management and conversion from one CRS to another:

  • 2D/3D seismic data (sgy)
  • Seismic gathers (conventional, azimuthal)
  • Wells (Las)
  • Horizons
  • Attributes, maps, pointsets, polygons for edits or cultural data (asc…)

Use cases

A strong impact on all your studies

Extracting insights from seismic data to achieve your objectives and enrich your subsurface knowledge : Exploration / Production / Near Field / New Energies

Seismic data enhancement

Reliable random noise attenuation & notable seismic quality enhancement. Unveil details in noisy seismic data. Fault network : better understanding and is easier to pick.

QI – Matrix property prediction

Based on seismic derived attributes, Machine Learning provides powerful tools to determine : Matrix features such as lithology and petrophysical property (such as VSH, Porosity, fluid content…).

Fault network characterization

Seismic fracture index combining attributes sensitive to discontinuities in the seismic signal. Through meta-attribute or automatic fractured facies classification.

Pore pressure prediction

Estimate the pore pressure prediction in 3D to better manage the mud weight needs and to adress risk while drilling.

Anizotropy estimation

Complementary methodologies for characterizing anisotropy from azimuthal data : VVAZ (velocities) and AVAZ (impedances). Quantifying the intensity and orientation of anisotropy.

Constraint for geological model

2D – 3D Time-depth conversion and geobodies extraction on reservoir properties (probability of lithologies, porosity, saturation, etc.) can be used as constraints for geological model infilling.

Adapted workflows for carbon management, geothermal projects


4D inversion and characterization used to monitor the CO2 gas migration throughout the years

Accurate understanding of the change in the rock properties due to the injection of the CO2  in the reservoir.

Reliable quantification of injected CO2 volume.


Identification of seismic faults and fractures with 2D or 3D attributes.

Identification of karst areas.

Continuous high-porosity layer characterization.

The value behind your seismic data – numerous success stories


Added value azimuthal inversion and characterization

Quantifying the intensity and orientation of anisotropy on velocities and impedances. Identifying sources of anisotropy by combining azimuthal estimation with seismic characterization results

4D elastic inversion: Plume propagation in CO2 storage

4D inversion and characterization used to monitor the CO2 gas migration throughout the years. Reliable quantification of injected CO2 volume.

Empower your seismic data with InterWell

Advanced capabilities used on over 600 projects in over 80 countries to tackle challenges with seismic data

Import and organize project data

InterWell supports gathers, angle-limited or azimuth limited stacks, full-stacks data, either in 3D or 2D surveys. All dataset type can be conditioned and used in semi-guided workflows in the same study, in order to get more comprehension about your field.

Machine Learning Algorithm

InterWell supports effective supervised and unsupervised algorithms, applicable on different data formats (map, horizon-slice and volume), responding to principal needs implying seismic data or seismic derived attributes in the market.

Runs on Windows and Linux

InterWell can be distributed in Windows or Linux system, with a unique and compatible database for both. Its inversion process is deployable in multi-machine or in a cluster to manage huge dataset with the same objective function.

Highly customizable seismic characterization

InterWell inversion is a key step providing added value in every workflow : the evaluation of one or several elastic models corresponding to your data. In all workflows, the inversion parameters can be tuned to smartly eliminate the noise or unrealistic response while conserving the truthful signal.

Ongoing developments

F-k filtering for gather conditioning: release in 2024
Lithology visualization: release date mid-2024