Blockchain Data Framework for Secure Derivative Data Traceability

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Solution Overview

Problem

Existing data handling systems lack mechanisms for secure, transparent, and traceable data sharing and usage, particularly in the context of hydrocarbon reservoir operations, which are prone to data corruption and unauthorized access, compromising data integrity and value.

Innovation Solution

A system utilizing blockchain technology to instantiate a computational framework for secure data access and processing, ensuring permission-based data sharing, registration of derivative data on a blockchain ledger, and automatic transmission of indicators for data registration, with expiration of access permissions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data are transferred from field sites to frameworks across multiple countries through intermediary frameworks, then data value and accessibility are improved, but data security and integrity are compromised due to lack of tracking and potential corruption

Engineering Contradiction:

Improvedata accessibilityVSAvoiddata integrity

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

A blockchain-based intermediary system is introduced between field sites and computational frameworks. This blockchain ledger acts as a trusted mediator that records all data transfers, transformations, and accesses across multiple countries and frameworks, providing immutable tracking that ensures data integrity while enabling widespread data accessibility.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements continuous feedback through blockchain tracking that monitors data lineage, access permissions, and transformation history. This feedback mechanism allows real-time verification of data integrity and automatic enforcement of permission constraints, enabling the system to maintain reliability while supporting versatile data sharing across international boundaries.

Inventive Principle:

Principle #23Feedback

2Reliability

If permission constraints are enforced to protect data security, then data integrity is improved, but data sharing and usage are restricted

Engineering Contradiction:

Improvedata securityVSAvoiddata sharing

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

Permission constraints are implemented as dynamic, time-limited access rights rather than static restrictions. The blockchain system automatically enforces expiration of permissions and adapts access levels based on specific operations, enabling secure data sharing with multiple entities while maintaining data security through automated, flexible permission management.

Inventive Principle:

Principle #15Dynamics

3Productivity

If data are made available for training and tuning of models, then model performance is improved, but risks of data corruption and unauthorized access increase

Engineering Contradiction:

Improvemodel training efficiencyVSAvoiddata corruption risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary actions by registering data and establishing permission constraints on the blockchain before any model training or data processing occurs. This pre-configuration of trust and access rights enables multiple models to be trained on the same data without increasing corruption risk, as the blockchain permissions are already in place to prevent unauthorized access or tampering.

Inventive Principle:

Principle #10Preliminary action

4Reliability

If blockchain registration is implemented for all data, then data integrity and traceability are improved, but system complexity and processing overhead increase

Engineering Contradiction:

Improvedata traceabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments blockchain registration to apply only to critical data elements, permission constraints, and transformation events rather than every single data point. This selective registration approach maintains comprehensive traceability for security-critical information while reducing system complexity and processing overhead for routine data operations.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12541606B2Data system

Publication Date: 2026.02.03 SCHLUMBERGER TECH CORP

AI summary

A method can include instantiating a computational framework responsive to authentication of a credential of an entity; via the computational framework, accessing secure data registered on a blockchain ledger pursuant to a permission constraint of the entity; processing the data using the computational framework for generation of derivative data; and responsive to the generation of the derivative data, automatically transmitting an indicator for registration of the derivative data on the blockchain ledger.