Excess Gas Conversion Logic for Flaring-Free Product Pathways
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for utilizing excess gas produced by oil and gas facilities are inefficient and often result in venting or flaring, which is environmentally harmful and economically wasteful, lacking a systematic approach to convert this gas into valuable products.
Innovation Solution
A logic-driven algorithm that automatically generates facility configurations using excess gas as a main feed, employing a process identification language to balance inputs and outputs, and utilizes automated simulation engines to determine the most environmentally and economically beneficial product conversion processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If excess gas is vented or flared, then environmental harm and economic waste occur, but the cost to bring gas to market exceeds revenue
Solution Approach 1:
The system allows excess gas to serve itself by automatically identifying and implementing monetization opportunities through algorithmic analysis of market conditions, eliminating the need for manual case-by-case studies while converting waste into value
Solution Approach 2:
The system dynamically adjusts gas utilization decisions based on changing market parameters including gas prices, electricity rates, and demand conditions, transforming the static venting/flaring decision into a dynamic optimization problem that adapts to economic conditions
2Adaptability or versatility
If traditional case-by-case studies are used, then limited options are evaluated, but the process is lengthy and requires custom dedicated models
Solution Approach 1:
The system provides a universal platform that evaluates multiple gas utilization pathways simultaneously (electrogenesis, chemical synthesis, fuel production) using standardized algorithms, replacing the need for custom dedicated models for each case while expanding the range of evaluated options
Solution Approach 2:
The system replaces manual mechanical case-by-case analysis with an automated algorithmic engine that processes market data and generates optimization recommendations, eliminating the time-consuming human analysis phase while maintaining comprehensive evaluation
3Productivity
If gas is converted to sellable products, then economic value is created, but additional equipment and infrastructure are required
Solution Approach 1:
The system segments the gas monetization process into distinct pathway options (electrogenesis, chemical synthesis, fuel production) that can be independently evaluated and implemented, allowing facilities to select and implement only the pathways appropriate to their specific context rather than requiring complete systems
Data Source
AI summary
A method includes adding a core logic block to a system design, in which the core logic block is representative of a process for converting excess gas provided by a feed logic block into a product, connecting the core logic block to the feed logic block, identifying an adjustment to the excess gas provided by the feed logic block, the product produced by the core logic block, or both, adding a utility logic block to the system design to implement the adjustment to the excess gas provided by the feed logic block, the product produced by the core logic block, or both, connecting the utility logic block to the feed logic block, the core logic block, or both, determining a power balance for the system design, and outputting the system design in response to determining that the power balance for the system design is within an acceptable range.