Real-time Dielectric Inversion for Salinity and Porosity

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Solution Overview

Problem

Current dielectric logging tools face challenges in accurately estimating water salinity and water-filled porosity in earth formations due to non-unique inversion solutions from downhole responses, particularly at lower frequencies, and are sensitive to rock texture and interfacial effects.

Innovation Solution

A method using multi-frequency dielectric tools to model complex dielectric measurements with a petrophysical mixing model, identifying an optimal frequency for sensitivity to salinity and porosity, and performing iterative inversion to converge on accurate estimates of effective permittivity and conductivity, while accounting for uncertainty and texture effects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multi-frequency dielectric measurements are used to estimate water salinity and water-filled porosity, then measurement precision is improved, but non-uniqueness of inversion solutions increases particularly at lower frequencies

Engineering Contradiction:
Improveestimation accuracy of water salinity and water-filled porosityVSAvoiduniqueness of inversion solutions
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent performs a table search to identify candidate frequencies and selects an optimal frequency before conducting the full inversion process. This preliminary action provides a reliable starting point that guides the subsequent inversion, preventing convergence to non-unique or incorrect solutions, particularly at lower frequencies where non-uniqueness is most problematic.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent utilizes multi-frequency measurements and systematically varies the frequency parameter to identify an optimal frequency for inversion. By analyzing measurements across a spectrum of frequencies and selecting the optimal one, the method transforms the single-frequency limitation into a multi-frequency advantage, improving both precision and solution uniqueness.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If iterative inversion is performed to converge on accurate estimates, then measurement precision is improved, but computation time increases

Engineering Contradiction:
Improveaccuracy of effective permittivity and conductivity estimatesVSAvoidinversion computation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs a table search to identify candidate frequencies and select an optimal frequency before conducting the full inversion process. This preliminary action provides a reliable starting point that guides the subsequent inversion, preventing convergence to non-unique or incorrect solutions, particularly at lower frequencies where non-uniqueness is most problematic.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent utilizes multi-frequency measurements and systematically varies the frequency parameter to identify an optimal frequency for inversion. By analyzing measurements across a spectrum of frequencies and selecting the optimal one, the method transforms the single-frequency limitation into a multi-frequency advantage, improving both precision and solution uniqueness.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If high-frequency measurements are used as a reference model, then stability of inversion is improved, but sensitivity to rock texture and interfacial effects increases

Engineering Contradiction:
Improvestability of inversion solutionsVSAvoidsensitivity to rock texture and interfacial effects
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent analyzes dielectric measurements across multiple frequencies and identifies an optimal frequency that balances stability with reduced sensitivity to harmful effects. By transforming from a fixed high-frequency reference to a dynamically selected optimal frequency, the method maintains inversion stability while minimizing sensitivity to rock texture and interfacial effects.

Inventive Principle:
Principle #35Parameter changes

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 enables precise real-time estimation of water salinity and water-filled porosity, reducing ambiguity and improving stability by using high-frequency measurements as a reference model and adjusting inversion weights, thus enhancing the accuracy of hydrocarbon content estimation in reservoirs.

Implementation Method 1

an antenna within the measuring instrument induces a current flow within the earth formation. The magnitude of the induced current is detected using either the same antenna or a separate receiver antenna

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

The dielectric constant of the formation may be estimated by transmitting an electromagnetic (EM) wave into the formation, and receiving it at one or more receivers (e.g., at receiver antennas). Then, the attenuation and phase shift between the received signals and the transmitted signals are determined

Methodology Applied
Scientific EffectElectromagnetic wave propagation: Dielectric

Data Source

PatentEP3732510B1Real-time inversion of array dielectric downhole measurements with advanced search for intial values to eliminate non-uniqueness
Publication Date: 2024.09.04 BAKER HUGHES CO
  • EP3732510B1 patent drawingFigure 1~2A
  • EP3732510B1 patent drawingFigure 2B~2D
  • EP3732510B1 patent drawingFigure 3A

AI summary

Methods and apparatus for evaluating a volume of an earth formation carried out using complex dielectric measurements. Methods include making measurements of complex permittivity at a plurality of frequencies; identifying an optimal frequency by: identifying candidate frequencies having a corresponding measurement with a respective sensitivity to at least one of i) salinity and ii) water-filled porosity, by determining that each respective sensitivity is substantially independent of rock texture; selecting a maximum of the candidate frequencies as the optimal frequency; using a table search method based on a forward model to generate an initial estimate of at least two parameters of the volume; and using the initial estimate as an initial condition for an inversion of other measurements at frequencies other than the optimal frequency to generate a final solution comprising final estimates for formation properties. The at least two parameters may comprise water salinity and water filled porosity.