Multi-frequency Inversion for Induction Logging Accuracy

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current induction logging tools face challenges in efficiently processing multi-frequency measurements, leading to increased processing time and complexity, and require multiple runs or relogs to obtain accurate formation property data.

Innovation Solution

A multi-frequency inversion algorithm is applied to consolidate data obtained at multiple frequencies, enhancing accuracy and adaptability by generating combination logs that combine results from different frequency measurements without the need for multiple runs or relogs, using a processing unit to manage schemes for multicomponent induction log data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multi-frequency measurements are processed using conventional algorithms, then measurement precision is improved, but processing time increases and productivity decreases

Engineering Contradiction:
Improveformation property accuracyVSAvoidprocessing speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The multi-frequency inversion problem is segmented into multiple single-frequency inversion problems that can be solved independently and then combined. Each frequency component is processed separately through the inversion algorithm, and the results are integrated to form the final multi-frequency solution. This segmentation allows for more efficient computation while maintaining the accuracy benefits of multi-frequency measurements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Single-frequency inversion results are computed in advance for each frequency component before combining them into the final multi-frequency solution. This preliminary computation approach allows the system to prepare intermediate results that can be efficiently integrated, reducing the overall processing time compared to performing a complete multi-frequency inversion from scratch.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If multiple runs or relogs are performed to obtain accurate formation property data, then measurement precision is improved, but loss of time increases

Engineering Contradiction:
Improveformation property accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent combines multiple single-frequency inversion results into a unified multi-frequency solution in a single processing operation. By merging the results from different frequency measurements through a consolidation algorithm, the system achieves the accuracy that would otherwise require multiple separate logging runs, thereby eliminating the time loss associated with repeated field operations.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The inversion algorithm is designed to handle multiple frequency measurements simultaneously and produce a unified formation property model. This multi-functional capability allows the system to process diverse frequency data through a single algorithmic framework, replacing the need for multiple specialized runs and reducing the overall time investment required for accurate formation characterization.

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

3Device complexity

If conventional processing algorithms are used for multi-frequency data, then device complexity is reduced, but measurement precision deteriorates

Engineering Contradiction:
Improvealgorithm complexityVSAvoidformation property accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The complex multi-frequency inversion problem is divided into simpler single-frequency inversion sub-problems. Each sub-problem can be solved using standard inversion algorithms, and the solutions are then combined. This segmentation maintains algorithmic simplicity at each step while achieving the precision benefits of comprehensive multi-frequency analysis through the systematic combination of individual results.

Inventive Principle:
Principle #1Segmentation

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 reduces processing time, improves accuracy, and enhances vertical resolution by combining signals from multiple frequencies, allowing for more accurate determination of formation properties during drilling operations.

Implementation Method 1

Induction logging tools utilize electromagnetic signals to make measurements of formation parameters

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Data Source

PatentUS9927551B2Multifrequency processing to determine formation properties
Publication Date: 2018.03.27 HALLIBURTON ENERGY SERVICES INC
  • US9927551B2 patent drawing
  • US9927551B2 patent drawing
  • US9927551B2 patent drawing

AI summary

In some embodiments, an apparatus and a system, as well as a method and an article, may operate to obtain a plurality of measurements of a formation parameter, each measurement obtained in response to energy propagated into the formation at a plurality of frequencies of propagated energy; to process the measurements over each of the plurality of frequencies to obtain estimated values of the formation parameter; to select an estimated value from the obtained estimated values for each logging depth as a true measurement value for the logging depth based on one or more of the plurality of frequencies and a resistivity range; to generate a combination log that combines a plurality of the true measurement values for each logging depth; and to control a drilling operation based on the combination log. Additional apparatus, systems, and methods are disclosed.