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S-Cube Newsfeed

Read about the latest developments in XWI.

S-Cube presenting TSL-FWI™ results from the Mahanadi Basin at the SEG Transforming Energy Exploration Symposium in Bengaluru

September 27, 2026

Conference

S-Cube & ONGC Showcase Land and Marine TSL-FWI™ Breakthroughs at SEG Bengaluru

Joint presentations from S-Cube and ONGC at the SEG Transforming Energy Exploration Symposium showcased the first published land and marine FWI applications in India. Time-Space-Lag FWI (TSL-FWI™) corrected deep imaging distortions below 6 km in a legacy Bengal Basin dynamite survey and defined Mio-Pliocene channel-levee prospects from scratch in the offshore Mahanadi Basin, where ONGC's 2026 drilling campaign has since reported gas from its first well.

Transforming Energy Exploration: Technology, Sustainability, and Innovation Symposium

September 25, 2026

Conference

Transforming Energy Exploration: Technology, Sustainability, and Innovation Symposium

S-Cube presents four technical talks in Bengaluru on Friday 25 September, including a joint session with ONGC-GEOPIC on land seismic FWI in the Bengal Basin — among the first FWI applications in India with ONGC, spanning both offshore and onshore settings. The talks cover next-generation FWI for land and marine applications and building confidence away from well control with Time-Space-Lag FWI.

S-Cube at IMAGE 2026

June 26, 2026

Conference

IMAGE '26: S-Cube presents Time Space Lag FWI for Land and Marine Settings

S-Cube has had two abstracts accepted for oral presentations at IMAGE 2026 in Houston (August 17-20). The talks cover onshore subsalt updates via FWI-Derived-Reflectivity-Driven Reflection Waveform Inversion, and breaking through complex salt by harnessing Time-Space-Lag Adaptive Waveform Inversion together with Reflection Waveform Inversion.

Darcy Partners

February 5, 2026

Recognition

S-Cube Named a Top Subsurface Innovator of 2025 by Darcy Insights

S-Cube has been named a Darcy Insights Top 10 Innovator of 2025 for its ML-enabled, cloud-native FWI algorithm. Trusted by majors like Shell, Chevron, and Petrobras, S-Cube delivers high-speed, accurate subsurface imaging in the world’s most complex geological environments.

SBGF Rio 2025 - Multi-Parameter Elastic FWI

November 15, 2025

Conference

SBGF Rio 2025: Presenting on Multi-Parameter Elastic FWI

S-Cube recently concluded a successful visit to the SBGF Conference in Rio de Janeiro, presenting results with Petrobras and Shell on Multi-Parameter Elastic FWI and announcing a technical publication related to AWS EHO.

SPG India 2025 - Mahanadi Basin Case Study

October 27, 2025

Conference

SPG India 2025: Rock to Cloud - A Case Study from Deep-Water Block Mahanadi Basin, India

S-Cube and ONGC showcase their latest results from deepwater Mahanadi Basin. A multi-stage FWI strategy using XWI successfully corrected structural sags below localized velocity anomalies and defined Gas-Charged Mio-Pliocene Channel Levee Complexes from scratch.

S-Cube at IMAGE 2025

August 8, 2025

Conference

IMAGE '25: FWI Beyond Conventional Limits for Clearer and Deeper Imaging

S-Cube will participate in the IMAGE 2025 conference in Houston, showcasing its advanced XWI technology for clearer and deeper subsurface imaging. Join us at Booth #2025 to discover how S-Cube pushes FWI beyond conventional limits with technical talks and presentations.

S-Cube at AWS Energy Symposium

June 4, 2025

Conference

Subsurface Innovation at AWS Energy Symposium

S-Cube joined industry leaders at the AWS Energy Symposium in Houston to discuss advancements in subsurface imaging. As part of the 'Unlocking Subsurface Potential' track, S-Cube highlighted how cloud technology is key to solving complex geological challenges and driving energy innovation.

S-Cube and Petrobras Featured on AWS Blog

May 14, 2025

Partnership

Breakthrough Seismic Imaging: S-Cube and Petrobras

S-Cube is featured on the official AWS Blog in a new case study with Petrobras. Discover how our cloud-native XWI solution, running on the elasticity of AWS, delivered breakthrough seismic imaging results, enhancing efficiency, reducing costs, and eliminating the need for traditional parallel storage.