<p>Reliable thermal conductivity data for unconsolidated geological materials are essential for accurate geothermal resource assessment and subsurface thermal modeling, particularly when utilizing drilling cuttings for thermophysical characterization. However, conventional needle-probe methods are often impractical for high-throughput analysis due to lengthy measurement cycles and the uncertainty arising from random probe-sample contact variability. To address this limitation, we developed a novel quartz-cell-assisted protocol for the Thermal Conductivity Scanner (TCS), enabling rapid estimation of thermal conductivity in unconsolidated samples. Six calibration models were rigorously evaluated using paired measurements from 30 block reference materials; model selection was optimized via leave-one-out cross-validation (LOOCV) and subsequently validated using independent powder samples. The power-law function was identified as the most robust empirical conversion equation for this specific TCS configuration. Application of this function to 20 powder samples yielded calibrated values consistent with independent transient needle-probe measurements, demonstrating negligible bias (0.000569 W·m⁻¹·K⁻¹), low mean absolute error (MAE = 0.0326 W·m⁻¹·K⁻¹), and minimal root mean square error (RMSE = 0.0394 W·m⁻¹·K⁻¹), with a mean absolute percentage error (MAPE) of 8.74&#xa0;%. This study establishes a calibrated, non-contact TCS-based workflow that significantly enhances the efficiency and reliability of effective thermal conductivity estimation for unconsolidated geological materials.</p>