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S-Cube delivering breakthrough capability for X-Waveform-Inversion (XWI) of seismic data

Industry's leading FWI algorithm. Uncover every detail.


S-Cube Intro

We are a cloud-based technology company focused on developing innovative technology for advanced sound wave segregation and computational optimisation techniques to create value across the energy sector. Our journey has led to X Waveform Inversion (XWITM) - unravelling raw sound waves from the earth to directly generate seismic images with zero or minimal human intervention. 

Automated Speech Recognition (ASR) is part of our everyday lives whilst also being the closest possible analogy to XWI technology. Raw audio in. Coherent intelligible signal out. Training based on mathematical optimisation, a branch of ML which we have made our biggest breakthroughs in and the key to solving the big data challenge for the subsurface. 

Strategy Roadmap and Growth Journey

S-Cube is an award-winning tech startup spun out from globally top ten ranked university Imperial College London, now a leading provider of transformative technology to some of the world’s largest energy companies.

Breakthrough optimisation toolbox. Scalable parallelisation. Automated intelligent UI.


2015- Theoretical Breakthroughs

2015- XWI Breakthroughs

Differentiated capability in sound segregation through advanced mathematical loss-function formulations which lead to the best possible predictive capability predicting unseen drilling logs. It is the continued innovations from Adaptive Waveform Inversion onwards which have set S-Cube’s soundwave segregation apart from day one.

2018: On Prem to Cloud

2018- Cloud Transition

Taking the leap beyond homogenous constrained on-prem systems. S-Cube were able to uniquely engineer AWS tools and capabilities to run XWITM cloud-natively at scale with a large dynamic pool of EC2 Spot compute. This enabled S-Cube to apply XWITM at scale and apply deep learning alongside classical optimisation to generate the best possible seismic image.

2019: First Cloud Pilots

2019- First Cloud Pilots

A collaboration between S-Cube, AWS and the operator to stress test the XWITM cloud architecture. This saw XWITM applied in an exploration hotspot in the Central Atlantic margin on a subset of a 2500km2 survey. XWITM was used to keep all the data on the cloud, perform a frequency sweep going as high as necessary to get the required detail to unlock prospects and targets.

2019-: Optimisation Pilots

2019- Optimisation Pilots

S-Cube maintaining laser focus on optimisation toolbox development and loss function breakthroughs. Pilots using weights as a predictor for previously unseen drilling logs. Predrill predictive power like the industry has never seen. XWITM being used to prove discoveries but more pertinently discoveries being used to prove the XWITM optimisation toolbox.

2020: Intelligent UI

2020- XWI Intelligent UI

Differentiated architecture calls for a differentiated UI. Get access to results faster. Collaborate seamlessly. Start a new job with only an internet connection. Start iterating the weights within minutes of plugging in inputs and configuring the runfile. Combine the best of human and machine intelligence for the best outcome with respect to standard optimisation approaches.

2020: OGTC North Sea

2020- OGTC North Sea

Multi million pound award from the OGTC for North Sea pilots starting with the Magnus field for automated and accelerated seismic imaging. Reaching the point where XWITM scalability allows vast areas of raw seismic data covering thousands of wells to be fed in at once for unified training. Key application areas are Infrastructure Led Exploration and Carbon Capture and Storage for the energy transition.


XWI Automated Velocity Model Building

  • Fully data-driven optimisation framework for deriving the most detailed and accurate best-fit earth velocity volume from recorded seismic data. 
  • The XWI toolbox integrates the AWI and RWI cost functions for adjusting velocity values to predict seismic field recordings with CWI and GWI for conditioning and tuning.
  • The outcome is more accuracy, more predictive power, more automation starting further away from the true answer with a very wrong initial model.

Case Studies

A set of 3D field deployments comparing the velocity resolution achieved by waveform inversion relative to standard tomographic techniques.


Chevron NATS field data

Using XWITM to define and quantify the target layer formation in a producing field.


Equinor OBC field data

Using XWITM to capture details of a gas accumulation filled with fluid escaped from an underlying reservoir.


Woodside NATS field data

Using XWITM in exploration to reveal a prospect and pre-drill estimate its internal properties. 


XWITM on AWS User Tullow Oil

Burst Compute Capacity

Industry's Leading Algorithm

Better. Faster. Deeper.  


Four pillars:



Predictive Power

Differentiated Capability

Cloud-native architecture:

MPI-free parallelisation

Multi-scenario job submission

Parameter hyper-tuning

Industry Awards and Measures of Esteem

Academic founders internationally recognised as leaders in the field

Distinguished Awards

The first major application of time-domain waveform inversion incorporating anisotropic wave propagation was conducted by founding members of S-Cube, a study which received the 2013 Best Paper in Geophysics.

Just a few years later, Adaptive Waveform Inversion (AWI) was patented and became the recipient of the Bonarelli Award in 2015 by the EAGE, the leading European professional organisation in petroleum geoscience for the long-standing problem in localised optimisation it was able to provide a solution for. 

AWI was the start of a non-stop development and growth in the story of S-Cube. This has paved the way for S-Cube to gain technical and business recognition for commercial achievement and innovation at the forefront of the energy sector.

2013 Best Paper in Geophysics

2013 Best Paper in Geophysics

S-Cube founders are recognised by The Society of Exploration Geophysics Best Paper Award titled "Anisotropic 3D Full Waveform Inversion" 

2015 Guido Bonarelli Award

2015 Guido Bonarelli Award

S-Cube is recognised by the European Association of Geoscientists and Engineers Guido Bonarelli Award 2015 for The Best Oral Presentation - "Adaptive waveform inversion - FWI without cycle skipping - theory".

2019 - Young Entrepreneur of the Year 2019

2019 - Young Entrepreneur of the Year

Non stop growth. Our CEO, Nikhil Shah named Young Entrepreneur of the Year 2019 at the UK Asian Business Awards.

2020 Artificial Intelligence Award

2020 Artificial Intelligence Award

S-Cube is shortlisted as a finalist for the Lloyds National Business Awards 2020 - The Artificial Intelligence Award.

2020 - Data Excellence Award

2020 - Data Excellence Award

S-Cube is shortlisted as a finalist for the Lloyds National Business Awards 2020 - The Data Excellence Award.

2020 - LCD Growth Through Innovation Award

2020 - LCD Growth Through Innovation Award

S-Cube is shortlisted as a finalist for the Lloyds National Business Awards 2020 - LCD Growth Through Innovation Award.

S-Cube Cloud

Run Full Waveform Inversion on the Cloud

Use XWITM on AWS to discover an unprecedented increase in the resolution of your velocity model.