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SubsurfaceClarityRedefined

Cutting-edge Full Waveform Inversion (FWI) technology, XWI
High resolution seismic imaging, smarter AI-driven decisions

Case Studies

Collaborating with Global Leaders in Energy and Technology

  • Chevron
  • EPAM
  • AWS
  • Petrobras
  • Imperial College London
  • Aspentech
  • Shell Logo
  • Google Cloud Platform
  • ONGC
  • Woodside Energy
  • Azure

Unlock Hidden Geological Detail

Consistent, high-impact results across complex basins globally

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Legacy PSDM
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S-Cube XWI
Gulf Coast, USA

XWI on Vintage Land Data

Acquired across multiple surveys in the 1990s, the data lacks low frequencies, long offsets, and is sparse. Further complications arise due to the topography and near surface effects.
The input data for FWI was minimally preprocessed - denoising and wavelet consistency. S-Cube applied its proprietary Adaptive Waveform Inversion (AWI) and Reflection Waveform Inversion (RWI) workflow to refine the model to 20Hz. Unlike conventional FWI, AWI overcomes cycle skipping, is more sensitive to reflection moveout, and is less impacted by amplitude mismatches. RWI further strengthens the velocity update by focusing on reflection kinematics, working effectively even with multiples and ghosts.

Acoustic & Land
Physics
AWI-RWI
Inversion Sequence
Santos Basin, Brazil

Elastic XWI in Deep-water Application

Starting from no assumed salt, Constrained Adaptive Waveform Inversion (cAWI) approximates the salt location. Subsequent 7Hz AWI-RWI refines the salt geometry and pre-salt trend. Finally, 20Hz elastic AWI-RWI-FWI sharpens the details.
45Hz RTM provides high-resolutution imaging.

Acoustic & Elastic
Physics
AWI-RWI-FWI
Inversion Sequence
Depth slice velocity model evolution and final RTM model

Depth slice velocity model evolution and final RTM model

Horizontal slice velocity model evolution and final RTM model

Horizontal slice velocity model evolution and final RTM model

Mahanadi Basin, India

Overcoming Deep-Water Velocity Model Challenges

The Mahanadi Basin, a polycyclic, peri-cratonic passive margin off India's east coast, presents one of the toughest challenges in marine seismic imaging. Shaped by NE–SW horst–graben systems, complex fault networks, and abrupt velocity contrasts, it hosts Mio–Pliocene Channel-Levee Complexes (CLCs), proven gas-bearing reservoirs and high-value exploration targets. S-Cube's staged FWI workflow not only sharpened CLC imaging, but also distinguished lithologies, clarified reservoir geometry, and removed structural sag artifacts, enabling more confident and accurate exploration.

Main seismic imaging result
Start Vp
Seismic detail 1
Seismic detail 2

What we offer

Full suite of FWI capabilities, PSDM and PSTM, for both land & marine, 2D & 3D data

Multi-Objective Function Inversion Sequence

Known as XWI - X for any given objective function: adaptive, reflective or conventional

Metric-Driven Decisions for Speed & Accuracy

Simulataneous inversion of velocity and reflectivity in a single unified feedback loop

Impedance Inversions

For RTM-like image from raw unprocessed data

FWI-Derived Data Products

For Reflectivity and AVA volumes directly from FWI

High-Fidelity Migrations

Kirchhoff Pre-Stack Time/Depth Migrations and advanced Reverse Time Migration (RTM)

Constrained Tomography

Fault and horizon constraints for geologically consistent velocity model building

Interpolation & Regularization

Multi-dimensional interpolation and regularization across 2D, 3D, 4D, and 5D datasets

Superior Noise Attenuation

Advanced algorithms for effective noise and complex multiple attenuation

The X-Wave Engine

XWI is not just another FWI algorithm: it's a proprietary, cloud-native platform built to overcome the limitations of conventional methods

Cloud Native

Fault-tolerant communications not affected by interrupted worker processes or spot markets with instant reclaims

HPC Optimised

Flexible deployment on any HPC infrastructure: CPU (x86, ARM) and GPU (NVIDIA, AMD)

Nebula Dashboard

Nebula Dashboard

Stay in control with a dashboard that monitors job status, performance and QCs outputs for immdiate data-driven decisioning

Advanced Physics

Elastic or visco-acoustic anisotropic modeling for land or marine, 3D or 2D

AI-Accelerated Metric-Driven

Automated inversion parameters optimized for faster, more accurate results

Global Impact

Transforming seismic imaging across the world's most challenging basins

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