Multi-Parameter Downhole Leak Detection System

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Solution Overview

Problem

Current methods for detecting downhole fluid leaks in oilfield operations are inadequate, as they rely on single parameters like temperature or pressure, which can fail to accurately locate leaks, especially when multiple leaks have similar spectral signatures, and are hindered by acoustic waveguides in tubing and casing.

Innovation Solution

A multiple parameter sensing logging tool that simultaneously measures temperature, pressure, and acoustic signals using quartz and piezoelectric crystals, with data acquisition and processing to identify leaks by analyzing temperature, pressure, and power spectral density variations, enabling more accurate and localized leak detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If single parameter measurement (temperature, pressure, or ultrasonic noise) is used for leak detection, then the device complexity is reduced, but the measurement precision and reliability of leak detection deteriorates

Engineering Contradiction:
Improvedetection system complexityVSAvoidleak detection precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent combines multiple detection parameters (temperature, pressure, and ultrasonic noise) into a single integrated detection system. The sensor assembly includes temperature sensors, pressure sensors, and geophones/hydrophones that work together to detect leaks, thereby improving measurement precision while managing device complexity through integrated design.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The detection system is designed to perform multiple functions simultaneously: temperature monitoring, pressure monitoring, and acoustic noise detection. This multi-functional approach allows the system to detect various types of leaks through different physical parameters, enhancing reliability without requiring separate dedicated systems for each parameter.

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

2Reliability

If multiple parameters are measured simultaneously to improve leak detection accuracy, then the measurement precision and reliability improve, but the device complexity increases

Engineering Contradiction:
Improveleak detection reliabilityVSAvoidsensing system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Multiple sensors for different parameters (temperature, pressure, acoustic) are merged into a single integrated sensor assembly that can be deployed together in the wellbore. This combining approach improves detection reliability by capturing multiple indicators of leaks simultaneously while managing complexity through unified system architecture.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The detection system is segmented into distinct sensor modules (temperature sensors, pressure sensors, geophones) that can be independently selected and configured based on specific detection needs. This modular segmentation allows flexibility in system design, enabling reliable multi-parameter detection while avoiding unnecessary complexity by only including required sensor types.

Inventive Principle:
Principle #1Segmentation

3Speed

If acoustic-based leak location methods are used, then the speed of leak detection is improved, but the measurement precision deteriorates due to acoustic waveguides in tubing and casing

Engineering Contradiction:
Improveleak detection speedVSAvoidleak location precision
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The system merges acoustic-based leak detection (using geophones/hydrophones for rapid detection) with temperature and pressure-based location methods. The acoustic sensors provide fast initial leak detection, while temperature and pressure measurements from multiple points enable precise leak location by identifying temperature deviations and pressure differentials, thereby compensating for the imprecision caused by acoustic waveguides.

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for the precise identification and location of fluid leaks by correlating multiple parameters, reducing false negatives and improving the detection of multiple leak sources, even in complex wellbore environments.

Implementation Method 1

a first temperature detector; a first pressure detector disposed in proximity to the first temperature detector

Methodology Applied
Scientific EffectTemperature measurement:

Implementation Method 2

a first pressure detector disposed in proximity to the first temperature detector

Methodology Applied
Scientific EffectPressure measurement:

Implementation Method 3

a first acoustic detector disposed in proximity to the first temperature detector

Methodology Applied
Scientific EffectAcoustic detection:

Data Source

PatentEP3204605B1Integrated multiple parameter sensing system and method for leak detection
Publication Date: 2023.06.28 HALLIBURTON ENERGY SERVICES INC
  • EP3204605B1 patent drawingFigure 1
  • EP3204605B1 patent drawingFigure 2
  • EP3204605B1 patent drawingFigure 3

AI summary

A multiple parameter sensing leak detection system may include one or more multi-parameter sensing modules capable of simultaneously measuring downhole temperature, pressure, and acoustic signals. The temperature and pressure detectors may include quartz based sensing elements, and the acoustic detector may include piezoelectric based sensing elements. In one or more embodiments, a plurality of sensing modules may be carried on a caliper for allowing radial identification of leak location. In one or more embodiments, multiple calipers, each carrying a circumferential arrangement of sensing modules may be used to identify annular or inter-annular leakage beyond production tubing using triangulation techniques. A leak analysis method identifies if relative pressure and temperature variation amplitudes fall outside leak thresholds and if power spectral density from noise has anomalous frequency signatures. A leak event may be identified by relative pressure and temperature variation amplitude and verified by power spectral density variation.