Earth Material Testing TRIZ Cases

Field moisture sensing identifies high-risk zones and guides agricultural vehicles around likely slippage areas to maintain steady traversal.

DESI and LAESI mass spectrometry map organic compounds on reservoir rock surfaces with high sensitivity while preserving spatial distribution.

A disassemblable stand, rail transporter, and hyperspectral sensor make ore grade validation portable without sacrificing scan quality.

Buffer rings and a locking mechanism protect the cylinder bottom from piston impact, prevent oil leakage, and speed simulator assembly.

RF-based MR sensing in a haul-vehicle portal improves small-lot ore grade estimates, reducing misassignment to the wrong destination.

AI drones combine soil probes, conductivity tests, and multispectral imaging to map moisture and stress for better seeding placement.

Multiple drone probes and AI combine soil density, conductivity, and moisture data to identify precise seeding locations.

A thermal-mechanical model predicts laser rock penetration and damage, helping preserve permeability while evaluating perforation effectiveness.

Real-time stereo, radar, and LiDAR scans estimate bank yardage, swell, and compaction to predict remaining truckloads more accurately.

Thermal-mechanical modeling predicts laser perforation rate and rock damage, helping reduce compaction and preserve reservoir permeability.

Combining capacitive moisture sensing with surface temperature and dew point data enables more accurate crop dew and frost prediction.

Oscillation signals sent between separated soil poles avoid ion-driven resistance errors, improving moisture sensing stability and accuracy.

Grouping soil samples by co-factors such as pH enables scaled nutrient values that better indicate attainable treatment gains by field zone.

A screen-printed three-electrode sensor enables rapid soil nutrient testing in the field without complex sample prep or frequent calibration.

Machine learning fuses low-cost sensor data to replicate expensive crop stress sensing and support precise irrigation and input timing.

Semipermeable membrane cells and an osmotic reference enable representative water potential measurement in heterogeneous, dry soils.

Distance-sensor feedback automatically maintains field sensor angle and spacing over uneven terrain for more accurate subsurface data.

Multiple permeability series at constant differential pressure reduce hysteresis and improve Biot coefficient extraction in rock samples.

A composite ground-contact electrode enables continuous, low-polarisation potential mapping for faster and more stable subsoil contaminant detection.

An oscillating planar focus laser and shared optical path keep LIBS focus and light collection stable on uneven geological cores during fast scanning.

Measures gas-driven pressure changes inside deformable matrices under a controlled atmosphere for faster, reliable in situ property analysis.

Maintaining reservoir pressure during core transfer enables NMR and CT testing without altering fluid composition or rock structure.

Engineered bacteria detect subsurface analytes and relay amplified fluorescent signals to the soil surface without disruptive sampling.

AI-trained logging analysis predicts lacustrine shale clay minerals faster and more accurately than manual interpretation and conventional crossplots.

By tracking ln(permeability) under changing effective stress in a core sample, this case determines initial pore pressure without wellbore tests.

A printed multilayer sensor strip combines pH, temperature, and conductivity sensing to support precise soil monitoring with lower field labor.

Rock mineral gas analysis uses helium isotopes and hydrogen measurements to estimate reservoir depth, purity, and pressure without drilling.

Two-tone interrogation and intermodulation analysis isolate forward and reverse link losses to measure soil moisture and multipath conditions.

Rock sample testing with different fluids measures hydrocarbon release to forecast production potential and guide well placement and fracturing.

A passive RFID capacitance tag replaces manual checks to improve liquid level accuracy while keeping inventory sensing simple and scalable.

NMR signals and gas-driving pressure tests quantify helium-rich reservoir accumulation efficiency through rock sample saturation and pressure analysis.

An inflatable TDR access tube presses sensors against borehole walls to deliver accurate multi-depth soil moisture readings with less salt error.

Periodic ultrasonic sensing with solar battery charging enables accurate low-power soil moisture monitoring and long-range wireless transmission.

Track sinkage and motion are used to infer soil moisture, structure, and compaction during field operation without subjective checks.

Ground-penetrating radar and field sensors map sink-prone soil so agricultural vehicles can avoid soft areas and reduce downtime.

A pressure vessel and gravel pack fixture recreate downhole pressure and perforation geometry to evaluate rock core flow and pressure differentials.

Using unequal upstream and downstream volumes, this case improves pulse-decay analysis of dual-continuum shale gas flow and cuts test time.

MIMO ground-penetrating radar estimates layer permittivity and thickness by matching reflected hyperbolic trajectories, improving multi-layer target detection.

Variable-speed vane testing measures torque and rotation directly in soil to avoid sample disturbance and derive shear strength, viscosity, and yield stress.

A location-detection neural network counts geological constituents in single rock images, cutting expert effort, annotation time, and analysis delay.

Core pore structure and mineral data are used to model equilibrium formation water at reservoir temperature and pressure without field sampling.

Integrated TDR and LIF sensing enables rapid in-situ landfill soil detection of ionic pollutants, PAHs, humic acid, and moisture with less disturbance.

Functionalized electrode coatings enable in-situ detection of organic and inorganic soil carbon, improving deep-field monitoring speed and accuracy.

Wireless stainless steel probes measure soil moisture and salinity without cable trenching, enabling accurate monitoring and precise irrigation.

Multi-wavelength absorbance and temperature sensing enable real-time fluid concentration tracking across wider ranges without dilution.

PCA and machine learning turn groundwater chemistry into faster aquifer location and quality prediction for real-time drilling decisions.

A single extraction, fractionation, and GC/GC-MS workflow separates saturated, aromatic, and NSO biomarkers from geological samples.

Grooves retain moist soil while dry soil falls away, giving a quantitative root-zone reading for more accurate plant watering alerts.

Square-wave AC excitation prevents probe polarization and oxidation, enabling stable soil pH detection without repeated calibration.

Maintaining reservoir pressure during core transfer preserves fluid structure and enables NMR-compatible laboratory testing with representative data.

Static high-field NMR measures kerogen H/C ratios in intact source rock, avoiding destructive pyrolysis and manual reflectance errors.

Sequences of confining stress, axial stress, and pore pressure tests establish stress-sensitivity parameters for estimating in situ rock permeability.