Optical Computing Devices for Downhole Fluid Analysis

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Solution Overview

Problem

Existing optical computing devices for the Oil and Gas Industry are not robust, power-efficient, cost-effective, or sensitive enough to accurately measure fluid properties in downhole applications, leading to issues with fluid composition analysis and potential blockages due to flow disruptions.

Innovation Solution

The development of compact, robust, and power-efficient optical computing devices with tuning fork, spark plug, grooved tubular, and modular implementations, which utilize electromagnetic radiation sources, optical elements, and detectors to analyze fluid samples in real-time, minimizing flow disruptions and enabling accurate composition analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional spectrometer instruments are used for downhole fluid analysis, then measurement capability is provided, but stability and robustness are insufficient to withstand downhole conditions

Engineering Contradiction:
ImprovestabilityVSAvoidmeasurement capability
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent replaces traditional mechanical spectrometer instruments with an optical computing device that uses optical elements (such as integrated computational elements) to perform spectral analysis. This substitution of mechanical/electronic systems with optical systems provides both the measurement capability of spectrometers and the stability required for downhole conditions, as the optical elements are inherently more robust and less sensitive to environmental variations.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If filter photometers are used for downhole applications, then stability is improved, but sensitivity is insufficient to measure analytes in complex oils

Engineering Contradiction:
ImprovestabilityVSAvoidsensitivity
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent merges the stability of filter photometers with the analytical capability of spectrometers by integrating computational elements into optical filters. The integrated computational elements (ICEs) combine multiple filtering functions with computational algorithms, allowing the device to maintain the stability of simple filters while achieving the sensitivity and selectivity of complex spectrometric analysis for measuring analytes in complex oil matrices.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If sensors are made larger to improve detection capability, then measurement precision is improved, but the sensor begins to affect fluid flow and cause blockages

Engineering Contradiction:
Improvedetection capabilityVSAvoidflow disruption
Core Design Contradiction:
Measurement precisionVSObject-generated harmful factors

Solution Approach 1:

The patent transitions from traditional inline sensors that occupy space within the fluid flow path to optical sensors where the active sensing elements are positioned in a different dimension - using optical fields that can penetrate or interact with fluid without requiring physical presence in the flow path. This allows for improved detection capability through larger or more complex optical elements without disrupting fluid flow or causing blockages.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

4Measurement precision

If traditional sensors are placed in downhole tubing, then fluid composition analysis is enabled, but cost becomes prohibitive for widespread deployment

Engineering Contradiction:
Improvefluid composition analysisVSAvoidcost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent employs integrated computational elements that can be manufactured using cost-effective techniques such as photolithography and standard optical fabrication methods. These optical elements can be produced in large quantities at low cost, enabling widespread deployment of multiple sensors throughout the oil and gas infrastructure. The elements are designed to be functional rather than permanently durable, with the understanding that they can be replaced if needed, significantly reducing the overall system cost compared to traditional expensive sensors.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

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

These devices provide stable, cost-effective, and accurate real-time analysis of fluid properties, reducing the risk of blockages and improving decision-making in fluid treatment, while allowing for the passage of other equipment through the tubing.

Implementation Method 1

electromagnetic radiation source to emit electromagnetic radiation that optically interacts with a fluid sample

Methodology Applied
Scientific EffectElectromagnetic radiation: Light

Implementation Method 2

an optical element that optically interacts with the sample-interacted light to produce optically-interacted light which corresponds to the characteristic of the fluid sample

Methodology Applied
Scientific EffectOptical interaction: Absorption Spectroscopy

Implementation Method 3

a detector positioned to measure the optically-interacted light and thereby generate a signal utilized to determine the characteristic of the fluid sample

Methodology Applied
Scientific EffectOptical detection: Photoelectric Effect

Data Source

PatentUS9459244B2Implementation concepts and related methods for optical computing devices
Publication Date: 2016.10.04 HALLIBURTON ENERGY SERVICES INC
  • US9459244B2 patent drawing
  • US9459244B2 patent drawing
  • US9459244B2 patent drawing

AI summary

Various implementations of optical computing devices are described herein which include a “tuning fork” probe, “spark plug” probe, “grooved tubular” and “modular” type implementation.