News

S-Cube's latest publication on the automated inversion sequence to derive the entire salt model from scratch using only FWI is now featured as the cover of The Leading Edge Volume 42 March 2023.

S-Cube has been selected to give a presentation at the 3rd EAGE Digitalisation Conference in London in the session "ML for seismic Domain I" on Monday 20th March at 11.30 a.m.

S-Cube is looking forward to its first visit to Mexico to present on the topic of Automated Salt Model Building using FWI.

Rapid FWI model building and direct imaging featured on the booth of AspenTech at IMAGE22 in Houston - defining the salt geometry in 4 passes.

Visit AspenTech's booth at the EAGE Annual Exhibition on to learn more about S-Cube's tools and solutions. 

See the latest XWI developments and case studies presented at EAGE Annual Conference from 5-9 June 2022.

AVA directly from FWI applied to raw field data without any preprocessing - one of our latest developments at Seismic2022. 

Winner of the Micro Business of the Year category at the Growing Business Awards 2021.

FWI and Carbon Storage: game-changing technologies for the decarbonisation of energy.

S-Cube and Amazon Web Services accepted to present Reflection AWI: faster, better, deeper and smarter.

S-Cube is pleased to be nominated for Micro Business of the Year by the Growing Business of the Year Awards 2021.

See the latest XWI results run with the latest cost functions and fault-tolerant parallelisation presented here at the SEG Seismic Imaging on Cloud workshop, 3-4 August 2021.

S-Cube XWI joins 13 other ground-breaking solutions selected to launch the Amazon Web Services (AWS) High Performance Computing Competency.

First seismic imaging workload to break the barrier of 1m vCPU's - slashing run times with respect to an on prem equivalent by a factor of 150.

HPC in the cloud - article from ARM featuring S-Cube for trailblazing HPC in the cloud.

S-Cube is an AWS selected launch partner for custom ARM-based Graviton2 processors.

S-Cube incorporate FSx and sync it to S3 for utilising SeisSpace on AWS for trace preparation.

S-Cube featured in a Amazon Web Services Hart Energy webinar for its industry-first cloud-native seismic imaging architecture.

S-Cube CEO with his roots at Cambridge was drawn to the solving the challenges of big data as needed for the energy transition.