Analytical Model for Well Network Resource Allocation
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Solution Overview
Problem
Current oilfield operations lack techniques capable of modeling and optimizing gas lift operations based on a comprehensive analysis of various parameters affecting oilfield production, leading to suboptimal resource allocation and reduced oil production rates.
Innovation Solution
The development of methods and systems that utilize an analytical model to optimize well network production by receiving topological data, determining the optimum allocation of resources, and converting complex problems into simpler forms for solution, incorporating offline and online optimization procedures to maximize operating parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current oilfield operations use traditional surveying and drilling methods, then basic data collection and resource location are achieved, but comprehensive analysis and optimization of gas lift operations are not possible, leading to suboptimal resource allocation
Solution Approach 1:
The patent segments the complex oilfield operation into distinct modules: data collection modules (seismic scanners, surveyors), data analysis modules (analytical models for gas lift configuration), and production optimization modules. This segmentation allows comprehensive analysis of multiple parameters while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent creates a universal analytical model that can handle multiple functions: evaluating gas lift configuration, analyzing production rates, optimizing resource allocation, and adapting to changing oilfield conditions. This multi-functional approach replaces multiple separate systems with a single comprehensive platform, improving productivity without proportionally increasing complexity.
2Loss of information
If traditional data collection methods are used, then basic formation data is gathered, but comprehensive analysis of multiple parameters affecting oilfield production is not achieved
Solution Approach 1:
The patent merges multiple data collection functions into a unified system that integrates seismic data, survey data, drilling data, and production data. The analytical model combines these diverse data sources to comprehensively evaluate gas lift configuration and production parameters, eliminating information loss while managing complexity through integration.
Solution Approach 2:
The patent implements feedback mechanisms where collected data is continuously analyzed and used to optimize production operations. The system compares actual production rates with predicted rates from the analytical model, adjusts gas lift configuration accordingly, and repeats the cycle, ensuring comprehensive information utilization while adapting to changing conditions.
3Productivity
If gas lift operations are performed without comprehensive analysis, then operations can be executed, but resource allocation is suboptimal and production rates are reduced
Solution Approach 1:
The patent performs preliminary analysis of oilfield conditions, formation data, and production parameters before implementing gas lift operations. The analytical model pre-evaluates multiple scenarios and determines optimal resource allocation strategies in advance, allowing for efficient real-time execution without compromising optimization thoroughness.
Solution Approach 2:
The patent creates a dynamic optimization system that continuously adapts to changing oilfield conditions. The analytical model re-evaluates gas lift configuration and resource allocation as production rates, formation conditions, and operational parameters change, ensuring optimal resource allocation while managing computation time through dynamic adjustment rather than static planning.
Data Source
AI summary
Methods and systems for performing well network production optimizations are described. For example, in one embodiment, a method of allocating an applied resource throughout a well network includes receiving topological data into an analytical model of a well network having one or more wells. The topological data includes a plurality of performance curves that relate well performance to one or more levels of an applied resource. The method also includes determining an optimum allocation of the applied resource using the analytical model to maximize an operating parameter of the well network, including converting a portion the analytical model having one or more wells and a linear inequality relationship to a modified portion having a single variable and a linear equality constraint.