Gas and Water Breakthrough Detection Using Flow and Composition Trends

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Solution Overview

Problem

Existing methods fail to effectively detect and mitigate gas and water breakthroughs in producing wells, leading to inefficient oil recovery due to displaced in-situ oil and altered fluid paths.

Innovation Solution

A computer-implemented system analyzes flow rate and composition data of produced fluids to detect gas or water breakthroughs, using trends in gas oil ratio, mole fractions of lighter hydrocarbons, and water salinity to enhance oil recovery by adjusting injection paths and drilling new wells.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If gas or water is injected into the subsurface reservoir to maintain reservoir pressure, then oil recovery is enhanced, but gas or water breakthrough occurs which displaces in-situ oil and reduces oil recovery efficiency

Engineering Contradiction:
Improveoil recoveryVSAvoidinjection efficiency
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system performs preliminary detection of gas and water breakthroughs by analyzing flow rate and composition data before significant oil displacement occurs. By detecting changes in gas oil ratio, mole fractions of lighter hydrocarbons, and water salinity trends early, the system enables timely adjustment of injection strategies to prevent harmful breakthrough effects while maintaining enhanced oil recovery benefits

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements continuous monitoring and feedback by analyzing produced fluid composition and flow rate data to detect breakthrough conditions. This feedback mechanism allows real-time adjustment of injection rates and strategies, enabling optimization of the balance between maintaining reservoir pressure for oil recovery and preventing premature gas or water breakthrough that would reduce injection efficiency

Inventive Principle:
Principle #23Feedback

2Reliability

If gas or water breakthrough is detected late, then injection strategies cannot be adjusted in time, but continuous monitoring increases operational complexity

Engineering Contradiction:
Improvebreakthrough detection accuracyVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system uses a multi-functional analysis approach where a single monitoring framework simultaneously evaluates multiple parameters including gas oil ratio trends, mole fractions of lighter hydrocarbons, and water salinity. This universal detection system consolidates what would otherwise require separate monitoring systems into one integrated solution, achieving reliable breakthrough detection without proportionally increasing operational complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs self-diagnosis by automatically analyzing the relationships between different measured parameters to detect breakthrough conditions. The computer-implemented methods autonomously identify trends in composition data and flow rates, eliminating the need for complex manual analysis systems while maintaining high detection reliability

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250327387A1Gas and Water Breakthrough Detection
Publication Date: 2025.10.23 SAUDI ARABIAN OIL CO
  • US20250327387A1 patent drawing
  • US20250327387A1 patent drawing
  • US20250327387A1 patent drawing

AI summary

Example computer-implemented methods and systems for gas and water breakthrough detection in producing wells are provided. One example computer-implemented method includes receiving flow rate measurement data of produced gas and produced oil of a producing well in a subsurface reservoir. Composition measurement data of the produced gas and the produced oil are received. An occurrence of a producing well breakthrough of gas injected into the subsurface reservoir from one or more injection wells is detected based on the received flow rate measurement data and the received composition measurement data.