Sustainability Data Platform With Confidence Scoring and Action Plans

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Solution Overview

Problem

Challenges exist in tracking and improving sustainability parameters across hydrocarbon enterprise operations, including energy, carbon, and waste management, while identifying opportunities for enhancing sustainability, which is crucial for achieving net zero carbon emissions and reducing environmental impact.

Innovation Solution

A sustainability platform system that collects data from various sources, determines confidence parameters, generates action plans to improve sustainability, and adjusts operations accordingly, incorporating feedback mechanisms for real-time updates and computational efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If comprehensive data collection from multiple sources is performed to improve sustainability monitoring accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:

Improvesustainability parameter monitoring accuracyVSAvoiddata collection system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments data collection by implementing separate input data sources for different sustainability parameters (energy consumption, carbon emissions, waste generation, water usage). Each data source can be independently configured and managed, reducing overall system complexity while maintaining comprehensive monitoring capability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The sustainability platform system acts as an intermediary that receives, processes, and integrates data from multiple external sources. This central intermediary approach simplifies the architecture by providing a single point of data integration rather than requiring direct connections between all components.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If real-time data processing and action plan updates are implemented to improve responsiveness, then productivity is improved, but use of energy increases

Engineering Contradiction:

Improvesustainability action plan responsivenessVSAvoidcomputational energy consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system implements periodic processing of sustainability data at defined intervals rather than continuous real-time processing. Action plans are updated at scheduled times based on accumulated data, reducing computational energy consumption while maintaining effective responsiveness to sustainability performance changes.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system dynamically adjusts the frequency and intensity of data processing based on the criticality of sustainability parameters and current operational conditions. High-priority parameters receive more frequent updates, while lower-priority parameters are processed less frequently, optimizing energy usage across the system.

Inventive Principle:

Principle #15Dynamics

3Measurement precision

If detailed tracking of sustainability parameters is implemented to improve measurement precision, then measurement precision is improved, but loss of time in data management increases

Engineering Contradiction:

Improvesustainability parameter tracking accuracyVSAvoiddata management time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system creates standardized data templates and action plan templates that can be replicated across different facilities and operations. Once a sustainability tracking framework is developed for one operation, it can be copied and adapted for other operations, significantly reducing the time required to set up detailed tracking systems.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The sustainability platform is designed with universal data structures and reporting frameworks that can handle multiple sustainability parameters (energy, carbon, waste, water) through a single integrated system. This multi-functional approach eliminates the need for separate tracking systems for each parameter, reducing overall data management time.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12608661B2Generating and maintaining a sustainability database for determining and updating sustainability action plans

Publication Date: 2026.04.21 SCHLUMBERGER TECH CORP

AI summary

An enterprise system may include one or more devices that perform respective operations of an enterprise and a sustainability platform system. The sustainability platform system may obtain search parameters associated with one or more sustainability parameters of the enterprise, obtain input data from one or more input data sources, and determine confidence parameters for the input data based on the input data sources. The sustainability platform system may also store the input data and the confidence parameters in a database of the sustainability platform system, generate one or more sustainability action plans for improving the sustainability parameters of the enterprise based on the input data stored in the database, and send one or more commands to the devices to adjust their respective operations according to the one or more sustainability action plans.