PETMiner-A Visual Analysis Tool for Petrophysical Properties of Core Sample Data

Area of Science:

• Petrophysics
• Geoscience
• Data Analysis

Background:

• Petrophysical data analysis from reservoir cores is time-consuming and costly.
• Current tools lack the ability to effectively handle incomplete data, requiring extensive expert knowledge.
• Limitations in existing petrophysics analysis tools hinder accurate reservoir characterization.

Purpose of the Study:

• To develop PETMiner software to reduce the time and cost of analyzing petrophysical data.
• To address the limitations of current petrophysics analysis tools by incorporating expert knowledge and advanced visualization.
• To create a software solution that improves the prediction accuracy for incomplete petrophysical datasets.

Main Methods:

• Engaged 30 industry and academic specialists to identify key analysis use cases and limitations.
• Developed nine core requirements for PETMiner based on identified use cases.
• Designed PETMiner with innovative features including detailed sample image data visualization, multi-property plotting, and reduced interaction costs.

Main Results:

• PETMiner demonstrated benefits across three key use cases during an 11-month evaluation.
• Enabled the generation of more accurate reservoir flow models.
• Facilitated the discovery of a new relationship between an easily measured and a costly petrophysical property.
• Achieved a 100-fold reduction in the time required for plot generation for reports.

Conclusions:

• PETMiner significantly reduces the time and monetary cost associated with petrophysical data analysis.
• The software enhances the accuracy of reservoir flow models and aids in discovering novel data correlations.
• PETMiner offers a substantial improvement in efficiency for petrophysical data reporting and analysis.