New · TSL-FWI™ · Operating across time and space

Subsurface clarity, redefined.

Time Space Lag FWI is S-Cube's next-generation Full Waveform Inversion — clearer and deeper seismic imaging, with smarter, faster AI-driven decision making built into the platform.

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Land & marine2D & 3DAcoustic & elasticCloud native

Collaborating with Global Leaders in Energy and Technology

Unlock Hidden Geological Detail

Consistent, high-impact results across complex basins globally

M0 — Starting Model

T3 — Final TSL-FWI

Alaminos Canyon, Gulf of Mexico

TSL-FWI Built Live, Milestone by Milestone

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Elastic Time Space Lag FWI recovers an accurate salt and velocity model from a starting guess conventional FWI can't survive. Follow the real build — M0 through T3 — with every XWAI session and model update shown inline.

Legacy PSDM

S-Cube TSL-FWI

Gulf Coast, USA

TSL-FWI on Vintage Land Data

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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 Time Space Lag 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.

Santos Basin, Brazil

TSL-FWI in Deep-water Application

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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-resolution imaging.

Depth 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

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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 TSL-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.

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What we offer

Within XWI we offer a full suite of TSL-FWI capabilities for both land and marine settings

XWI TSL

A family of time- and space-lag based FWI objective functions

XWI Data Prep

Preprocessing steps optimized for TSL inversions

XWI Targeting

Constrained updates between specific horizons

XWI Global

Derivative free optimization for multi parameter inversions

XWI Reflectivity

FDR and AVA volumes directly from raw field data

XWI Metrics

Self-learning metric-driven automation of inversion sequences

The X-Wave Engine

TSL-FWI 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 instance reclaim

HPC Optimized

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

Advanced Physics

Anisotropic visco acoustic and elastic propagators with free surface and absorbing top conditions

XWAI Dashboard

Control the inversion with task-specific agents with interactive model and shot visualizations

Global Impact

Transforming seismic imaging across the world's most challenging basins

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