Well Log Digitization via Optical Scanning and Machine Learning
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Solution Overview
Problem
Converting printed well log data into digital format is expensive and unreliable, especially for older wells with data stored on physical paper, lacking the necessary precision and granularity required for modern analysis.
Innovation Solution
A system comprising a scanner and computational system that uses optical technologies to digitize well log images, employing an identifier engine for parameter extraction and a trace analysis engine to convert graphical data into paired digital values, with machine learning for automated processing and pattern recognition to determine stratigraphic structure data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional techniques are used to convert printed well log data into digital format, then the conversion can be performed, but the process is expensive and unreliable
Solution Approach 1:
The patent replaces manual or conventional mechanical conversion techniques with an automated optical system using scanners and computational processing. The scanner captures images of printed well logs, and computational circuits automatically convert the visual data into digital format, eliminating the need for expensive and unreliable conventional conversion methods while maintaining high reliability and reducing costs
Solution Approach 2:
The patent creates digital copies of printed well log data through scanning and computational conversion. The optical system captures the visual information from physical paper logs and generates corresponding digital representations, providing reliable and cost-effective duplication of the original data without requiring expensive conventional conversion processes
2Measurement precision
If conventional digitization methods are used, then data can be converted, but the precision and granularity are insufficient for modern analysis
Solution Approach 1:
The patent replaces imprecise conventional digitization methods with an optical scanning system enhanced by computational processing. The scanner captures high-resolution images, and computational circuits perform sophisticated analysis to extract precise measurements and maintain granular detail, achieving modern analysis requirements while managing system complexity through integrated processing
Solution Approach 2:
The patent transitions from direct physical measurement to optical imaging and computational analysis. By capturing the well log data as visual information and then processing it through computational circuits, the system achieves higher precision and granularity by analyzing the data in the digital domain rather than being constrained by physical measurement limitations
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
The system provides reliable, granular, and cost-effective digitization of well log data, enabling accurate analysis of stratigraphic structures and improving well characterization, production projections, and completion parameter suggestions.
Implementation Method 1
A system and method are provided for converting well log data from a physical paper format into a digital format using optical technologies
Data Source
AI summary
A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.