Simultaneous Shooting Time-Lapse Seismic Data Deblending for CO2 Monitoring
Summary
EPO published patent application EP4392812A1 for Schlumberger's AI-based seismic data deblending system designed for CO2 monitoring applications. The invention utilizes neural networks (G06N 3/02) to separate blended seismic signals in simultaneous shooting time-lapse surveys, enabling more efficient subsurface monitoring for carbon capture and storage projects.
What changed
EPO published patent application EP4392812A1 for a machine learning-based system to deblend simultaneous shooting time-lapse seismic data used in CO2 monitoring. The technology, classified under G06N 3/02 (neural networks), G01V 1/32, and G01V 1/28, was developed by inventors Wenyi Hu, Aria Abubakar, Haibin Di, and Zhun Li for applicants Schlumberger and GeoQuest Systems B.V.
This is a patent publication notice, not a regulatory rule. It grants no compliance obligations or deadlines. Companies interested in carbon capture seismic monitoring should review the patent claims to determine if licensing is needed before implementing similar technology.
Source document (simplified)
SIMULTANEOUS SHOOTING TIME-LAPSE SEISMIC DATA DEBLENDING FOR CO2 MONITORING AND TIME LAPSE SIMULTANEOUS SHOOTING SCHEME RECOMMENDER
Publication EP4392812A1 Kind: A1 Mar 25, 2026
Applicants
Services Pétroliers Schlumberger, GeoQuest Systems B.V.
Inventors
HU, Wenyi, ABUBAKAR, Aria, DI, Haibin, LI, Zhun
IPC Classifications
G01V 1/32 20060101AFI20250611BHEP G06N 3/02 20060101ALI20250611BHEP G01V 1/28 20060101ALI20250611BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
Named provisions
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