Pinheiro et al., 2019 - Google Patents
Rock Quality Designation 3D modelling using geostatistics: a tungsten Portuguese deposit case studyPinheiro et al., 2019
View PDF- Document ID
- 9486217160645930940
- Author
- Pinheiro M
- Sousa L
- Miranda T
- Pereira E
- Publication year
- Publication venue
- ARMA US Rock Mechanics/Geomechanics Symposium
External Links
Snippet
The uncertainties related with spatial variability and heterogeneities, naturally present in rock masses, play an important role in geotechnical engineering practice. A more accurate assessment and characterisation is increasingly in need due to their impact on the …
- 239000011435 rock 0 title abstract description 56
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/282—Application of seismic models, synthetic seismograms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V99/00—Subject matter not provided for in other groups of this subclass
- G01V99/005—Geomodels or geomodelling, not related to particular measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/66—Subsurface modeling
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V5/00—Prospecting or detecting by the use of nuclear radiation, e.g. of natural or induced radioactivity
- G01V5/04—Prospecting or detecting by the use of nuclear radiation, e.g. of natural or induced radioactivity specially adapted for well-logging
- G01V5/08—Prospecting or detecting by the use of nuclear radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V11/00—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V5/00—Prospecting or detecting by the use of nuclear radiation, e.g. of natural or induced radioactivity
- G01V5/02—Prospecting or detecting by the use of nuclear radiation, e.g. of natural or induced radioactivity specially adapted for surface logging, e.g. from aircraft
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Rogers et al. | Volumetric fracture intensity measurement for improved rock mass characterisation and fragmentation assessment in block caving operations | |
KR101618713B1 (en) | 3-Dimensional Space Modeling Method based on the Geotechnical Information | |
US9152745B2 (en) | Model predicting fracturing of shale | |
Zhang et al. | Determination of statistical discontinuity persistence for a rock mass characterized by non-persistent fractures | |
US10359527B2 (en) | Sedimentary characterization from seismic data | |
US20180231681A1 (en) | Reservoir resistivity characterization incorporating flow dynamics | |
CN104850732B (en) | One kind is based on the statistical oil reservoir detail stratigraphic division method and device of sand body | |
CN115983505A (en) | Solid mineral three-dimensional ore formation prediction method and device | |
Soleimani et al. | Integrated petrophysical modeling for a strongly heterogeneous and fractured reservoir, Sarvak Formation, SW Iran | |
Eivazy et al. | Modelling geomechanical heterogeneity of rock masses using direct and indirect geostatistical conditional simulation methods | |
US10890688B2 (en) | Method for generating secondary data in geostatistics using observed data | |
Egaña et al. | Assessment of RMR and its uncertainty by using geostatistical simulation in a mining project | |
Ray et al. | Characterizing and modeling natural fracture networks in a tight carbonate reservoir in the Middle East: A methodology | |
Liu et al. | 3D geological modeling of deep fractured low porosity sandstone gas reservoir in the Kuqa Depression, Tarim Basin | |
Felletti et al. | Expectation of boulder frequency when tunneling in glacial till: A statistical approach based on transition probability | |
Li et al. | UCS prediction by group-based machine learning method | |
Pinheiro et al. | Rock Quality Designation 3D modelling using geostatistics: a tungsten Portuguese deposit case study | |
Mehryaar et al. | Geological Modeling Along Tunnel Projects Using Machine Learning Techniques | |
Madani et al. | Joint simulation of cross-correlated ore grades and geological domains: an application to mineral resource modeling | |
Jackson et al. | Geological and grade risk at the Golden Gift and Magdala gold deposits, Stawell, Victoria, Australia | |
Lane et al. | Improving geological models through statistical integration of borehole data and geologists’ cross-sections | |
Houlding | Direct volume estimation—a geostatistical technique for mine planning and grade control | |
Dip et al. | Microseismic monitoring of mines in real time with ensemble kalman filter | |
Wang et al. | Grade distribution and orebody demarcation of bauxite seam based on coupled Interpolation | |
Bele | 3D Geological Modeling in Mineral Deposits (Copper Ore Body Cases) |