CL2025002580A1 - Método y sistema para registrar datos para una muestra mineral - Google Patents

Método y sistema para registrar datos para una muestra mineral

Info

Publication number
CL2025002580A1
CL2025002580A1 CL2025002580A CL2025002580A CL2025002580A1 CL 2025002580 A1 CL2025002580 A1 CL 2025002580A1 CL 2025002580 A CL2025002580 A CL 2025002580A CL 2025002580 A CL2025002580 A CL 2025002580A CL 2025002580 A1 CL2025002580 A1 CL 2025002580A1
Authority
CL
Chile
Prior art keywords
sample
initial estimate
estimate
material type
abundance
Prior art date
Application number
CL2025002580A
Other languages
English (en)
Inventor
Green Thomas
Hackman Leonora
John Wedge Daniel
Holden Chang Eun-Jung
Anthony Horrocks Tom
Michael Gonzalez Christopher
Original Assignee
Tech Resources Pty Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2021901798A external-priority patent/AU2021901798A0/en
Application filed by Tech Resources Pty Ltd filed Critical Tech Resources Pty Ltd
Publication of CL2025002580A1 publication Critical patent/CL2025002580A1/es

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24—Earth materials
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/20—Identification of molecular entities, parts thereof or of chemical compositions
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N2021/3595—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using FTIR
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods
    • G01N2201/1296—Using chemometrical methods using neural networks
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70—Machine learning, data mining or chemometrics

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Geology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Mining & Mineral Resources (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Medicinal Chemistry (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Food Science & Technology (AREA)
  • Remote Sensing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Fluid Mechanics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Automatic Analysis And Handling Materials Therefor (AREA)

Abstract

Se describen diversos sistemas y métodos de registro para registrar datos, que se obtienen para una muestra, incluido un registrador de los tipos de materiales por infrarrojo que está configurado para: recibir espectros infrarrojos asociados con la muestra; procesar los espectros infrarrojos utilizando un algoritmo de aprendizaje (machine learning) automático pre entrenado o un algoritmo estadístico para generar una o ambas de las siguientes: una estimación inicial de la abundancia de los tipos de materiales para la muestra, en donde la estimación inicial de la abundancia de los tipos de materiales es una estimación de la presencia de uno o más tipos particulares de materiales dentro de la muestra y una estimación de la abundancia relativa de cada uno de dichos tipos de materiales, y una estimación inicial del porcentaje de trozos o terrones para la muestra; y almacenar la estimación inicial generada de la abundancia de los tipos de materiales y/o la estimación inicial del porcentaje de trozos o terrones en la memoria.
CL2025002580A 2021-06-16 2025-08-26 Método y sistema para registrar datos para una muestra mineral CL2025002580A1 (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2021901798A AU2021901798A0 (en) 2021-06-16 A method and system for logging data for a mineral sample
AU2022900471A AU2022900471A0 (en) 2022-02-28 A method and system for logging data for a mineral sample

Publications (1)

Publication Number Publication Date
CL2025002580A1 true CL2025002580A1 (es) 2025-11-07

Family

ID=84525710

Family Applications (4)

Application Number Title Priority Date Filing Date
CL2023003732A CL2023003732A1 (es) 2021-06-16 2023-12-13 Método y sistema para registrar datos para una muestra mineral
CL2025002580A CL2025002580A1 (es) 2021-06-16 2025-08-26 Método y sistema para registrar datos para una muestra mineral
CL2025002657A CL2025002657A1 (es) 2021-06-16 2025-09-01 Método y sistema para registrar datos para una muestra mineral
CL2025002673A CL2025002673A1 (es) 2021-06-16 2025-09-02 Método y sistema para registrar datos para una muestra mineral

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CL2023003732A CL2023003732A1 (es) 2021-06-16 2023-12-13 Método y sistema para registrar datos para una muestra mineral

Family Applications After (2)

Application Number Title Priority Date Filing Date
CL2025002657A CL2025002657A1 (es) 2021-06-16 2025-09-01 Método y sistema para registrar datos para una muestra mineral
CL2025002673A CL2025002673A1 (es) 2021-06-16 2025-09-02 Método y sistema para registrar datos para una muestra mineral

Country Status (6)

Country Link
EP (1) EP4356167A4 (es)
AU (1) AU2022293197A1 (es)
BR (1) BR112023026368A2 (es)
CA (1) CA3221595A1 (es)
CL (4) CL2023003732A1 (es)
WO (1) WO2022261712A1 (es)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118072850B (zh) * 2024-04-19 2024-06-21 四川省地质矿产勘查开发局成都综合岩矿测试中心（国土资源部成都矿产资源监督检测中心） 目标区域地球化学样品质量分析方法和系统
CN119740141A (zh) * 2024-11-28 2025-04-01 广东沃特森信息技术有限公司 铁矿石元素分类方法、装置、设备及存储介质
CN120877921B (zh) * 2025-09-28 2025-12-23 青岛海关技术中心 一种铜精矿多源融合的品位与含水率快速估计系统
CN121525539B (zh) * 2026-01-19 2026-04-24 之江实验室 三维星际介质物理场重建方法、装置和存储介质

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA3051493C (en) 2017-01-25 2024-04-02 Technological Resources Pty. Limited A method and system for validating logging data for a mineral sample
US11352879B2 (en) 2017-03-14 2022-06-07 Saudi Arabian Oil Company Collaborative sensing and prediction of source rock properties
US20220207079A1 (en) * 2019-05-09 2022-06-30 Abu Dhabi National Oil Company Automated method and system for categorising and describing thin sections of rock samples obtained from carbonate rocks

Also Published As

Publication number Publication date
CA3221595A1 (en) 2022-12-22
AU2022293197A1 (en) 2023-12-21
CL2025002657A1 (es) 2025-11-07
EP4356167A4 (en) 2024-10-09
CL2025002673A1 (es) 2025-11-07
WO2022261712A1 (en) 2022-12-22
EP4356167A1 (en) 2024-04-24
BR112023026368A2 (pt) 2024-03-05
CL2023003732A1 (es) 2024-05-17

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