Geological Measurements TRIZ Cases

A heterogeneity-based distance of influence clusters subsurface measurements to reduce sampling bias and improve reservoir statistics.

Multiple degradable coupons are deployed downhole to reveal actual wellbore chemistry through degradation rates, improving material selection reliability.

Machine learning reconstructs density and neutron porosity logs from mudlogging and resistivity data to speed petrophysical evaluation.

Geological-constraint weighting and machine learning improve underground resource potential maps, spatial resolution, and uncertainty assessment.

Wireless AQOM monitors use rechargeable power and interchangeable sensor modules to simplify deployment while maintaining reliable air and occupancy data.

Helium measurements correlated with wellbore images train a model to detect fractures faster and reduce manual mudlog interpretation.

A basin-modeling workflow combines MTR and normalized deposition rates to map favorable areas for microbial gas generation and accumulation.

A method calculates fault permeability using shale volume, thickness, smear continuity, and cataclastic reduction factors for fluid flow prediction.

Segmenting immature and mature kerogen components via hydrogen index ratios resolves measurement precision limits in low permeability shale formations.

A paleo-geographic coordinate system transforms current subsurface structures to their original deposition state using linear equations.

Secondary reservoir modeling identifies high uncertainty zones to define sensitive LWD parameters, reducing placement errors near geological boundaries.

A method calculates zone evaluation values using controlling factor parameter distributions to assess oil and gas reservoir effectiveness.

A smart microwave sensor module calculates velocity and distance to verify intruder presence within a secured area.

A portable bore hole measurement device uses a locking base station and downhole probe to capture sensor data.

A channel determination method uses polar exclusion zones to connect wells while maintaining boundary constraints.

Integrates density logging data to compute vertical stress and applies correlation models for pore pressure estimation.

Azimuthal gamma ray measurements synthesize a continuous density log, resolving the trade-off between measurement accuracy and core sample availability.

Graph of operations tracks subsurface interpretation steps to enable automatic modification propagation.

Local AI training protects proprietary data while improving accuracy of geological feature identification in complex reservoir simulations.

A multi-component seismic source uses inclinometers and magnetometers to determine absolute spatial orientation within a borehole.

Millimeter wave radar analyzes vertical and horizontal movement distances to differentiate occupants from inanimate items during vehicle motion.

A method determines the optimal number of conditioning data for multiple point statistics simulation using a search tree to store geological patterns.

Spatial bootstrap resampling generates posteriori distributions from measured data without requiring accurate a priori parameter ranges.

Discrete Cosine Transform reduces computational time for large-scale 3D geological models while maintaining permeability fidelity.

A georeferencing method groups measured values into polygons for clear spatial display.

A computer-implemented method links static reservoir grids to dynamic basin models using burial history properties for accurate well planning.

Ensemble Kalman Filter updates reservoir models with dynamic data while preserving static observation consistency.

A downhole test system monitors CO2 behavior using metal coupon arrays to assess material interactions.

Multi-stage exploration methods adjust sampling density using statistical correlation coefficients to optimize spatial volumes and reduce costs.

Separate crustal and upper mantle stretching factors resolve accuracy losses from single-step inversion assumptions.