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Difficult data, defined prospects.

Targeted FWI for the problem in front of you — four projects, four challenges, four defined prospects.

Explore the four prospectsHow we get there →

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
Four prospects · four problems

From early model to defined prospect

Each project targets a different challenge — prospect depth, noisy legacy data, no starting model, a new frontier. Step through the model evolution and see how targeted FWI resolves it.

01

Highlander

Onshore · USA

Challenge · Depth of prospect

Reaching a deep prospect from the surface down.

  • Legacy (1990s) dynamite seismic data from 3 surveys merged
  • Tomography model needs correcting below 22kft
  • New structural high identified
100BCF
Prod per Well
$300M
Cost per well
30kft
Depth per well
Open the interactive case study
Highlander starting velocity model
Initial tomography model
Highlander reflection waveform inversion update
Highlander final TSL-AWI model
1 / 3

Velocity model from the starting model to the prospect-defining TSL-AWI result.

02

Harrison Bay

North Slope Alaska · USA

Challenge · Noise in legacy data

Inverting through heavy noise in legacy data.

  • Vibroseis and hydrophone data
  • Frozen layer with extreme noise
  • Ultra shallow 21ft water depth
  • Clinoforms defined with AVA Class III signature
2Bbbl
Oil Reserves
5 Prospects
Drillable targets
45Hz FWI
4 datasets merged
Read the case study
Harrison Bay starting velocity model — inline 834 and crossline 1005
Harrison Bay intermediate AWI velocity model — inline 834 and crossline 1005
Harrison Bay final TSL-AWI velocity model resolved through legacy noise
1 / 3

Inline 834 / crossline 1005 Vp model — from the starting model through AWI to a coherent, noise-robust TSL-AWI result.

03

Alaminos Canyon

Gulf of Mexico · USA

Challenge · No starting model · sub-salt

Building a sub-salt prospect with no starting model.

  • No starting model provided
  • Four-stage interleaved AWI-RWI sequence
  • Agreement with blind sonic log through sub-salt target
2000m/s
Difference between start model and blind sonic log
3 months
vs 2 years conventional model build
6-8km
Sub-salt target defined from scratch
Read the case study
Alaminos Canyon IL 471 starting velocity model
Alaminos Canyon IL 471 intermediate AWI velocity model
Alaminos Canyon IL 471 final AWI-RWI velocity model with resolved salt geometry
1 / 3

Inline 471 Vp model — from the starting model through AWI to the salt geometry and sub-salt prospect resolved by AWI-RWI.

04

Mahanadi Basin

Mahanadi Basin · India

Challenge · New exploration frontier

Opening a new exploration frontier.

A frontier passive margin with little prior control and no prior FWI applied. Working on existing legacy data, S-Cube's staged FWI workflow run by ONGC sharpened imaging, distinguished lithologies, clarified reservoir geometry, and removed structural sag artifacts.

1st
FWI in India
Targets Identified
No prior information
4 month
Operator Turnaround
Read the case study
Mahanadi Basin 1750 m depth slice — starting model
Mahanadi Basin 1750 m depth slice — inverted model revealing gas-charged channels
1 / 2

1750 m depth slice — low-velocity anomalies in the Mio–Pliocene CLCs reveal proven gas-charged channels.

View all case studies
The enabler · XWAI

How XWAI defines the workflow

Every job can be configured in astronomically many ways — far too many to search by hand. XWAI, S-Cube's AI copilot in the X-Wave platform, reasons over the full space of parameters, functionals and sequencing to converge on one defensible workflow per dataset.

350+ parameters

Frequencies, mutes, weights, smoothing, anisotropy, regularization …

Functional families

FWI · AWI · TSL-AWI · RWI

Each functional is itself a family of competing functionals.

Stage sequencing

AWI → RWI → FWI

The order is itself a choice.

≈ 1060 possible configurations

more than the number of stars in the observable universe

XWAI intelligence layer

Reasons over parameters, functionals & data

One defensible workflow per dataset

Try XWAI yourselfExplore XWAI

Global Impact

Transforming seismic imaging across the world's most challenging basins

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Featured Projects

Ready to see your data in high definition?

Let's discuss how S-Cube XWI can transform your seismic projects — schedule a private demonstration with our imaging experts, or jump straight into XWAI.

Request a demoTry XWAI

info@s-cube.com