S-Cube Team

CEO

Nikhil read Mathematics at the University of Cambridge and completed his doctorate at Imperial College London which gave rise to patented algorithmic developments in the theory of seismic imaging by waveform inversion. 

Whilst working for Chevron located initially in San Ramon, California and subsequently in Houston, Texas he was responsible for leading technology pilots of new seismic imaging algorithms applied to field datasets located in deepwater basins offshore Brazil and Nigeria.

He was appointed CEO of S-Cube in 2019 to accelerate its growth through product development and commercialisation. Under his leadership, the company has struck key partnerships with cloud providers, service companies and early adopters such as Chevron, Woodside and most recently Petrobras. 

Technical Director

Mike is Professor of Geophysics at Imperial College London. He joined Imperial as the BP Lecturer 25 years ago, founded the Department of Earth Science and Engineering which now has over 600 students and hosts the internationally-recognised FULLWAVE research consortium of leading energy companies. He has over 150 peer-reviewed publications, including 7 in Nature.

He has received multiple awards from both the Society of Exploration Geophysics and the European Association of Geoscientists and Engineers (EAGE).

He invented and patented Adaptive Waveform Inversion winning the Guido Bonarelli Award from EAGE in 2015 for this breakthrough for overcoming cycle skipping in FWI. He has spearheaded the use of Machine Learning in elastic FWI. He is also applying FWI to brain imaging.

XWI Creator

Adrian is a mathematician and computational optimization expert who has pioneered 3D FWI initially as a lead researcher at Imperial College London.

Between 2006 and 2020, he led the development of the highly-adopted FULLWAVE3D software package rolled out to many of the world's largest energy companies as part of Imperial's world-leading research consortium.

Since joining S-Cube in 2020, he has developed the X-Wave optimization toolbox for FWI which gives rise to novel capability for imaging in highly obscured zones below complex salt structures with significant remaining exploration potential.

The X-Wave toolbox has been the differentiating factor in successful FWI convergence with minimal human intervention in blind tests run in petroleum basins across the world.

Operations Lead

Tenice is an expert FWI practitioner with a unique combination of geophysical skills and cloud HPC user experience. 

Specialising in FWI during her PhD at Imperial College London, her work resulted in the Geophysics Best Paper award for 2013 from the Society of Exploration Geophysicists with a robust application to a North Sea gas field with a significant seismic obscured area to characterise.

Tenice became Operations Lead for S-Cube in 2019 shaping the company's best practices for taking new algorithms from testing into commercial deployment.

Algorithm Researcher

John is an algorithm researcher who read Mathematics at the University of Oxford and continued to complete his doctorate in Pure Maths from the same institution.

During his doctorate, in the field of Number Theory, he worked on problems of effectivity and computation for class numbers, elliptic and modular functions, and transcendence.

From joining S-Cube in 2021, he has been involved in bringing through the next wave of XWI advances in terms of cost functions which can extract deep macro models from reflection data. 

Cloud and ML Lead

Christos holds an MEng in Computer Science from the University of Durham.

He is responsible for developing and deploying the cloud infrastructure which provisions the computational resources for FWI jobs to run across thousands of Spot multi-core workers. He is also focusing on automating both the inversion sequence and the AI-assisted analysis of subsequent results.

Algorithm Developer

Johnny holds an MSc in Artificial Intelligence from Imperial College London.

He is responsible for testing new developments in XWI which guide product development and fine tune results.