Multi-Instrument Drill Cutting Log via Density Correlation
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Solution Overview
Problem
Current laboratory analysis techniques for drill cuttings from subsurface formations lack a method for detailed volumetric analysis, with existing instruments providing either limited resolution or shallow surface analysis, failing to accurately determine material properties throughout the formation.
Innovation Solution
The method involves combining energy dispersive spectrometry (EDS) and computerized tomography (CT) imaging techniques to identify minerals and their densities in both surface and volumetric samples, correlating results through common density measurements to generate a detailed log of material properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional laboratory analysis techniques are used, then the analysis can be performed with simple equipment, but the measurement precision and volumetric detail are insufficient
Solution Approach 1:
The patent combines multiple imaging techniques (X-ray CT, optical microscopy, SEM) into a unified multi-instrument logging system. This merging allows the system to achieve detailed volumetric analysis by integrating the strengths of different instruments: X-ray CT provides internal 3D structure, optical microscopy offers surface detail, and SEM delivers high-resolution mineralogical information. The combination resolves the contradiction by achieving high measurement precision through instrument integration rather than relying on a single complex instrument.
Solution Approach 2:
The analysis process is segmented into multiple specialized imaging techniques, each targeting specific aspects of the drill cutting sample. X-ray CT segments the internal volumetric structure, optical microscopy segments the surface morphology, and SEM segments the mineralogical composition. This segmentation allows each instrument to focus on its strength, achieving comprehensive volumetric analysis without requiring any single instrument to be overly complex.
2Measurement precision
If detailed surface analysis is performed, then mineral identification accuracy improves, but volumetric information is lost
Solution Approach 1:
The patent transitions from traditional 2D surface analysis to 3D volumetric analysis by incorporating X-ray CT imaging. This dimensionality change allows the system to maintain high mineral identification accuracy (achieved through SEM and optical microscopy) while simultaneously capturing volumetric information (achieved through X-ray CT's 3D imaging capability). The multiple dimensions of analysis work together to resolve the contradiction between surface detail and volumetric coverage.
Solution Approach 2:
The imaging techniques are nested in a hierarchical structure where X-ray CT provides the outer 3D volumetric framework, optical microscopy adds intermediate surface detail, and SEM provides inner high-resolution mineralogical information. This nesting allows each technique to operate at its optimal scale while contributing to the comprehensive volumetric analysis, resolving the contradiction between detailed surface analysis and volumetric coverage.
3Measurement precision
If multiple imaging techniques are used, then analysis accuracy improves, but the device complexity and data correlation difficulty increase
Solution Approach 1:
The patent creates a multi-functional logging system that performs multiple analysis functions (volumetric imaging, surface microscopy, mineralogical identification) within a single integrated platform. This universality allows the system to achieve high analysis accuracy through multiple techniques while managing complexity through unified data processing and correlation algorithms that handle the outputs from all instruments consistently.
Solution Approach 2:
The system employs feedback mechanisms where data from each imaging technique feeds into and refines the overall analysis. The X-ray CT volumetric data provides context for interpreting optical microscopy images, which in turn guide SEM analysis priorities. This feedback loop allows the system to achieve high accuracy while managing complexity through iterative refinement rather than requiring all instruments to operate independently at maximum complexity.
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 provides accurate, detailed volumetric analysis of formation samples, overcoming the limitations of existing methods by correlating mineral identities with material properties across the entire sample, enhancing the accuracy of subsurface formation analysis.
Implementation Method 1
performing an energy dispersive spectrometry (EDS) procedure to identify the minerals present in a surface layer of a formation sample and to determine the densities associated with each of these minerals
Implementation Method 2
performing a computerized tomography (CT) procedure, optionally using a formation sample container that enables the simultaneous CT imaging of multiple samples
Data Source
AI summary
A method according to some embodiments comprises obtaining a formation sample from a borehole, identifying minerals present in a first portion of the formation sample and determining densities of the minerals. The method also comprises determining, using a second portion of the formation sample, material properties associated with the mineral densities. The method further comprises associating the material properties with the identified minerals using the mineral densities, and generating a log comprising the associations.


