EP4356167A4 - Verfahren und system zur datenprotokollierung für eine mineralprobe - Google Patents

Verfahren und system zur datenprotokollierung für eine mineralprobe Download PDF

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Publication number
EP4356167A4
EP4356167A4 EP22823686.5A EP22823686A EP4356167A4 EP 4356167 A4 EP4356167 A4 EP 4356167A4 EP 22823686 A EP22823686 A EP 22823686A EP 4356167 A4 EP4356167 A4 EP 4356167A4
Authority
EP
European Patent Office
Prior art keywords
logging data
mineral sample
mineral
sample
logging
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP22823686.5A
Other languages
English (en)
French (fr)
Other versions
EP4356167A1 (de
Inventor
Thomas Green
Leonora HACKMAN
Daniel John Wedge
Eun-Jung Holden CHANG
Tom Anthony HORROCKS
Christopher Michael GONZALEZ
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Technological Resources Pty Ltd
Original Assignee
Technological 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 Technological Resources Pty Ltd filed Critical Technological Resources Pty Ltd
Publication of EP4356167A1 publication Critical patent/EP4356167A1/de
Publication of EP4356167A4 publication Critical patent/EP4356167A4/de
Pending legal-status Critical Current

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)
EP22823686.5A 2021-06-16 2022-06-16 Verfahren und system zur datenprotokollierung für eine mineralprobe Pending EP4356167A4 (de)

Applications Claiming Priority (3)

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
PCT/AU2022/050599 WO2022261712A1 (en) 2021-06-16 2022-06-16 A method and system for logging data for a mineral sample

Publications (2)

Publication Number Publication Date
EP4356167A1 EP4356167A1 (de) 2024-04-24
EP4356167A4 true EP4356167A4 (de) 2024-10-09

Family

ID=84525710

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22823686.5A Pending EP4356167A4 (de) 2021-06-16 2022-06-16 Verfahren und system zur datenprotokollierung für eine mineralprobe

Country Status (6)

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

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
CN119740141B (zh) * 2024-11-28 2026-06-26 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

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018136998A1 (en) * 2017-01-25 2018-08-02 Technological Resources Pty. Limited A method and system for validating logging data for a mineral sample
US20180347354A1 (en) * 2017-03-14 2018-12-06 Saudi Arabian Oil Company Collaborative sensing and prediction of source rock properties

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020225592A1 (en) * 2019-05-09 2020-11-12 Abu Dhabi National Oil Company (ADNOC) Automated method and system for categorising and describing thin sections of rock samples obtained from carbonate rocks

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018136998A1 (en) * 2017-01-25 2018-08-02 Technological Resources Pty. Limited A method and system for validating logging data for a mineral sample
US20180347354A1 (en) * 2017-03-14 2018-12-06 Saudi Arabian Oil Company Collaborative sensing and prediction of source rock properties

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ACOSTA ISABEL CECILIA CONTRERAS ET AL: "Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework", IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, IEEE, USA, vol. 13, 21 July 2020 (2020-07-21), pages 4214 - 4228, XP011802505, ISSN: 1939-1404, [retrieved on 20200804], DOI: 10.1109/JSTARS.2020.3011221 *
LORENZ SANDRA ET AL: "Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction", SENSORS, vol. 19, no. 12, 21 June 2019 (2019-06-21), pages 2787, XP055810386, DOI: 10.3390/s19122787 *
See also references of WO2022261712A1 *

Also Published As

Publication number Publication date
CL2025002657A1 (es) 2025-11-07
CL2023003732A1 (es) 2024-05-17
CL2025002673A1 (es) 2025-11-07
WO2022261712A1 (en) 2022-12-22
EP4356167A1 (de) 2024-04-24
AU2022293197A1 (en) 2023-12-21
CA3221595A1 (en) 2022-12-22
BR112023026368A2 (pt) 2024-03-05
CL2025002580A1 (es) 2025-11-07

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