Drillhole Structural Mapping Tool Subsurface Drillhole Imager

The Statistical Subsurface Characterization Tool

Modern geotechnical and resource models thrive on quantitative data—not just visual descriptions but statistically meaningful measurements that support probabilistic analysis and risk assessment. The GD-C1201 Intelligent Drillhole Optical Imager functions as a statistical characterization tool, enabling engineers and geologists to transform visual observations into numerical datasets that can be analyzed, averaged, correlated, and used in stochastic modeling. This system brings statistical rigor to the borehole, turning each investigation into a source of empirical distributions rather than anecdotal observations.

Feature Quantification Framework
The software's measurement tools are designed for repeatable, operator-independent quantification. The crack width extraction records perpendicular distances across fractures with 0.1mm precision, generating a continuous data series of apertures across the logged interval. The orientation extraction captures strike and dip for each fracture, producing a dataset that can be plotted on stereonets, clustered into joint sets, and analyzed for mean orientation and dispersion. The area extraction tool measures void or alteration zone dimensions, providing areal estimates for volumetric calculations. All measured parameters are automatically logged into the core attribute sheet, which functions as a structured database—ready for export to Excel for statistical analysis using built-in functions, pivot tables, and graphing.

Data Population and Sample Size
Unlike core logging, where only recovered intervals are available (often less than 70% in fractured ground), the GD-C1201 images 100% of the borehole wall wherever the camera can pass. This complete coverage dramatically increases the sample size for structural measurements—a single 100-meter borehole may yield hundreds of fracture observations, compared to only the recovered pieces. Larger sample sizes reduce statistical uncertainty, enabling more reliable estimates of mean fracture spacing, orientation distribution, and aperture frequency. For projects requiring probabilistic design (e.g., tunnel support, slope stability), this data density is indispensable for Monte Carlo simulations and reliability assessments.

Technical Specifications: The Statistical Engine

Integration with Modeling Software
The exported Excel and CSV files are directly importable into specialized geostatistical and modeling packages such as Leapfrog, Datamine, DIPS, and RocData. The system's structured format ensures that attributes (depth, orientation, aperture, type) are pre-labeled, eliminating the need for manual reformatting. For advanced users, the database can be queried to extract specific subsets—for example, all fractures within a certain depth interval with apertures exceeding 2mm—for targeted analysis. This seamless data flow accelerates the model-building process, allowing engineers to spend more time interpreting and less time preparing data.

The Quantitative Geologist's Verdict
The GD-C1201 transforms borehole logging from a descriptive art into a measurement science. It provides the data density and precision needed for robust statistical characterization, enabling professionals to quantify uncertainty, identify trends, and defend their models with empirical evidence. By delivering not just images but measurable, repeatable, and statistically analyzable data, this system aligns with the industry's increasing demand for evidence-based design and risk-informed decision-making.