Predicting sustainability action plan performance over time

US12387151B2 · kind B2 · utility

Assignee

• SCHLUMBERGER TECHNOLOGY CORPORATION · US

Inventors

• Shashi Menon · Houston, US
• Hemant Arora · Pune, IN
• David Seabrook · London, GB
• Gian-Marcio Gey · Houston, US
• Hans Eric Klumpen · Houston, US
• Debasish Das · Kanchinakote, IN
• Federico Sporleder · Pune, IN
• Jing Zhang · Freehold, US
• Rajarshi Ray · Redmond, US
• Nader Salman · Tomball, US
• Stephanie Lee · Houston, US
• Colin Wier · Houston, US
• Neeraj Kamat · Pune, IN
• Harshada Modak · Pune, IN

Key dates

• Filing date: Jun 5, 2024
• Grant date: Aug 12, 2025
• Expiry date: Jun 5, 2044

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/951
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

An enterprise system may include one or more devices with sensors that measure operational parameters of the devices. The enterprise system may also include a sustainability platform system that obtains a sustainability model representative of a state of operations of the enterprise based on the measured operational parameters and receives sustainability target data that includes one or more threshold limits, one or more ranges, or both for one or more sustainability parameters. The sustainability platform system may also obtain one or more action plans for adjusting respective operations of the devices based on the sustainability model and the sustainability target data, simulate a performance of the action plans over a period of time relative to the sustainability parameters, and determine whether the simulated performance of the action plans is effective.