Automated Well Log Quality Control via XML Conversion

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Solution Overview

Problem

Human-based quality control analysis of well log header data is time-consuming, often taking two to four man-days, due to the large number of data points (350 or more) requiring manual interpretation and comparison.

Innovation Solution

A computer system converts well log data from native formats like LIS, DLIS, or LAS to XML, enabling automated quality control analysis by checking header data points against predefined rules, reducing the analysis time to one man-hour or less.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If human analysts manually review and compare well log header data, then quality control accuracy is maintained, but the analysis time increases to two to four man-days

Engineering Contradiction:

Improvequality control accuracyVSAvoidanalysis time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the mechanical human review process with an automated computer-based system that converts well log data to XML format and applies predefined rules to perform quality control analysis, eliminating manual interpretation while maintaining accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the data format parameter from native well log formats to XML format, enabling automated processing and rule-based analysis that maintains quality control accuracy while dramatically reducing analysis time from man-days to minutes

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If the number of data points in well log header data is increased to 350 or more, then measurement completeness is improved, but the complexity of manual review increases

Engineering Contradiction:

Improvemeasurement completenessVSAvoidreview complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual review of 350+ data points with an automated system that uses XML formatting and predefined rules to systematically evaluate each data point, maintaining measurement completeness while eliminating review complexity

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent segments the complex quality control process into distinct rule-based checks that can be independently applied to different aspects of the well log data, making the evaluation of 350+ data points systematic and manageable

Inventive Principle:

Principle #1Segmentation

3Productivity

If automated software-based analysis is implemented, then productivity is improved, but implementation complexity increases

Engineering Contradiction:

Improveanalysis efficiencyVSAvoidimplementation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent creates a universal XML-based framework that can handle multiple well log formats and apply consistent quality control rules across different data types, improving productivity while managing implementation complexity through standardization

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS7739050B2Software-based quality control analysis of well log data

Publication Date: 2010.06.15 LANDMARK GRAPHICS CORP

AI summary

Software-based quality control analysis of well log data. At least some of the various embodiments are computer-readable mediums storing a program that, when executed by a processor, causes the processor to read data from a well log, and perform a quality control analysis on the data.