Virtual Actor Blockchain for Oil Gas Facility Data Integrity
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Solution Overview
Problem
Current blockchain technology is not scalable enough for widespread use, particularly in applications involving data collection and management from oil and gas facilities for modeling, analysis, and monitoring.
Innovation Solution
The implementation of a virtual actor blockchain system that includes real-time data acquisition, processing, storage, analysis, and communication, along with digital twinning capabilities to model facility functions and components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional blockchain mining and proofing processes are used for data collection and management from oil and gas facilities, then data integrity and security are improved, but system scalability and processing speed deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-processing and validating data before it enters the blockchain ledger. Data is collected, validated, and prepared in advance using traditional computing systems, reducing the computational burden during blockchain transactions and improving overall processing speed while maintaining data integrity
Solution Approach 2:
An intermediary layer is introduced between data collection and blockchain storage. This intermediary system handles data validation, preprocessing, and temporary storage, acting as a buffer that reduces the direct load on blockchain operations and improves processing efficiency without compromising security
2Loss of information
If comprehensive real-time data collection from all facility components is implemented, then operational insights and predictive maintenance capabilities are improved, but system complexity and computational requirements worsen
Solution Approach 1:
The system segments data collection and processing by facility components, creating modular data acquisition units for different equipment types. Each segment handles its own data independently, reducing overall system complexity while maintaining comprehensive data collection capabilities across all facility components
Solution Approach 2:
A universal data collection framework is implemented that can handle multiple types of facility data through a common platform. The system uses standardized protocols and interfaces that work across different equipment types, reducing complexity while enabling comprehensive real-time data gathering
Data Source
AI summary
Apparatuses and systems and interfaces and methods implementing them including a virtual actor architecture that receives real-time, near real-time, and/or periodic data and information concerning oil/gas upstream, midstream, and downstream facilities via virtual actors, stores the real-time, near real-time, and/or periodic data and information in block of one or more blockchains, create virtual digital twins of the facility or a facility component, runs user requested or system requested simulations using either the real-time, near real-time, and/or periodic facility data directly or runs the user requested or system requested simulations on a virtual digital twin of the facility or facility component, and stores the results in blocks of the one or more blockchains.