Gas Blend Optimizer for Well Rate Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing approaches to gas blend optimization in oil and gas production units are inadequate for optimizing future production targets and special scenarios before wells are put into production, failing to ensure optimal quality of the final sales gas.
Innovation Solution
A system and method that utilizes an analytical module and computer processors to obtain well data, determine the effect of each well on gas production parameters, and adjust well gas rates to optimize the gas blend, meeting user-defined targets by optimizing the contribution of each well based on its effect on the total gas produced.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used for gas blend optimization, then flexibility in decision-making is maintained, but optimization efficiency and precision deteriorate
Solution Approach 1:
The patent replaces manual optimization processes with an automated computer-based system that uses algorithms and data processing to determine well gas rates. The system automatically analyzes well data, calculates contributions to gas blend parameters, and optimizes rates without manual intervention, thereby increasing efficiency while managing complexity through software automation.
2Adaptability or versatility
If existing optimization approaches are used, then current production can be enhanced, but future production targets and special scenarios cannot be optimized beforehand
Solution Approach 1:
The patent enables optimization to be performed before wells are put into production by using historical well data and predictive modeling. The system can calculate expected gas blend parameters and optimize well rates in advance for future production scenarios, allowing operators to prepare optimization strategies before actual production begins, thus eliminating the need for post-hoc adjustments.
3Manufacturing precision
If individual well rates are adjusted to meet gas blend targets, then gas quality compliance is improved, but the number of iterations required increases operational complexity
Solution Approach 1:
The patent implements an iterative optimization process where the system calculates gas blend parameters based on current well rates, compares them against targets, and automatically adjusts well rates accordingly. This feedback loop continues until targets are met, with each iteration bringing the blend closer to specifications. The automated feedback mechanism manages complexity by systematically reducing the search space through guided adjustments rather than random trials.
Data Source
AI summary
Described is a method for gas blend optimization. The method includes assigning a target rate for one or more parameters of interest in a desired gas blend. Data related to the parameters of interest is obtained for each well of a geographical region of interest. Based on the obtained data, an effect of each well's contribution to the parameters of interest in a total gas produced at a gas processing facility is determined. The parameters of interest in the total gas produced are optimized until the assigned target rate is met by determining an adjusted well gas rate for each well in a list of wells selected based on their effects on the total gas produced.