From arc magmas to ores (FAMOS): A mineral systems approach

从弧岩浆到矿石 (FAMOS):矿物系统方法

基本信息

  • 批准号:
    NE/P017053/1
  • 负责人:
  • 金额:
    $ 30.29万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2017
  • 资助国家:
    英国
  • 起止时间:
    2017 至 无数据
  • 项目状态:
    已结题

项目摘要

Society is dependent on a reliable supply of metals and minerals for economic growth, improved standards of living, and development of infrastructure. Population growth means that even with increased recycling and resource efficiency, new mineral deposits still need to be discovered. The efficient exploration for, and discovery of, new resources requires new concepts and new tools. The Mineral Systems approach to exploration considers ore deposits on a lithospheric scale, in terms of the "ingredients", processes and environments that favour their formation. This approach amounts to a "source-pathway-trap" model, with an increased emphasis on predictive capacity, rather than just feature recognition. Historically, much research has focused on the trap, and characterisation of the ore deposits themselves; here we aim to focus deeper in the system by integrating ore deposit formation with concepts of magmatism that arise from igneous petrology and volcanology. Therein lies a challenge because extant models for porphyry systems are increasingly at odds with magmatic models for crustal construction and arc volcanism. Rather than seeing magmatic systems in terms of large, liquid-rich magma chambers, emerging petrological models for crustal magmatism are turning instead to crystal-dominated, volatile-bearing "mushy" systems that traverse most or all of the crust. The dynamics of such systems have important consequences not just for arc magmatism, but also for the chemistry of the volatiles that are exsolved. These same volatiles fuel mineralisation and this is the synergy that we aim to exploit by assembling a multidisciplinary team of researchers from economic geology, igneous and metamorphic petrology, volcanology, geochemistry, numerical modelling and fluid dynamics. Our team embraces almost everyone currently engaged in porphyry mineralisation research in the UK and capitalises on strong existing links between UK ROs and the mining industry, many of who are Project Partners. The research will involve analysis of minerals from a wide variety of mineralised and barren settings using a wealth of modern analytical tools that enable determination of an extensive suite of trace elements and isotope tracers. As each trace element responds to magmatic processes in subtly different ways due to the affinity of different elements for different phases (minerals, melts and fluids), so the multi-element approach affords many advantages over conventional proxies in which the full potential of the Periodic Table is not exploited. The analysis of natural systems will be underpinned by high pressure and temperature experiments to establish the phase relationships of ascending arc magmas and the partition coefficients that capture the affinities of elements for certain phases. As fluid accumulation and migration is an essential, but poorly understood, final step in ore deposit formation, we will develop, in tandem with the geochemistry, numerical models for fluid-bearing mushy systems. Finally, consideration will be given to critical metals that are passengers through the main ore-forming processes, but constitute important, often under-explored, by-products of porphyry mineralisation. The research proposed has a strong element of blue skies investigation, but a particular focus on outcomes that will benefit industry through improved exploration tools. Thus the project bridges the divide between academic and applied research in a way that is not normally possible through industry-funded projects. This bridging activity lies at the heart of the Highlight Topic call, specifically through the integration of new advances in the study of mineral systems, igneous petrology and geochemistry, with a view to identifying conditions that can act as pathfinders for new targets. A key outcome will be a range of trace element proxies that will enable the mining industry to establish the potential fertility of a magmatic arc on local to regional scales.
社会依赖可靠的金属和矿物供应来实现经济增长、提高生活水平和发展基础设施。人口增长意味着,即使回收利用和资源效率提高了,仍需要发现新的矿藏。对新资源的有效勘探和发现需要新的概念和新的工具。矿物系统勘探方法从有利于矿床形成的“成分”、过程和环境的角度考虑岩石圈范围内的矿床。这种方法相当于一种“源-路径-陷阱”模型,更加强调预测能力,而不仅仅是特征识别。从历史上看,很多研究都集中在圈闭和矿床本身的特征上;在这里,我们的目标是通过将矿床形成与火成岩岩石学和火山学产生的岩浆作用概念结合起来,更深入地关注系统。这其中存在一个挑战,因为现有的斑岩系统模型与地壳构造和弧形火山作用的岩浆模型越来越不一致。地壳岩浆作用的新兴岩石学模型不再是从富含液体的大型岩浆室的角度来看待岩浆系统,而是转向横跨大部分或全部地壳的以晶体为主、挥发分含量高的“糊状”系统。这种系统的动力学不仅对弧岩浆作用有重要影响,而且对挥发分的化学作用也有重要影响。这些相同的挥发物促进了矿化,这是我们旨在通过召集来自经济地质学、火成岩和变质岩石学、火山学、地球化学、数值模拟和流体动力学的多学科研究团队来开发的协同效应。我们的团队涵盖了目前在英国从事斑岩矿化研究的几乎所有人,并利用了英国ROS与采矿业之间现有的牢固联系,其中许多人是项目合作伙伴。这项研究将涉及使用丰富的现代分析工具对各种矿化和贫瘠环境中的矿物进行分析,这些工具能够确定一系列广泛的微量元素和同位素示踪剂。由于不同元素对不同相(矿物、熔体和流体)的亲和力不同,每种微量元素对岩浆作用的响应方式都略有不同,因此多元素方法比传统的元素周期表方法具有许多优势,因为在传统方法中,元素周期表的潜力没有得到充分开发。自然系统的分析将以高压和温度实验为基础,以建立上升弧岩浆的相关系和捕捉某些相元素亲和力的分配系数。由于流体聚集和运移是矿床形成过程中的一个基本步骤,但人们对此知之甚少,因此我们将与地球化学一起开发含流体糊状系统的数值模型。最后,将考虑关键金属,这些金属是主要成矿过程中的乘客,但构成斑岩矿化的重要副产品,往往未得到充分勘探。拟议的研究具有很强的蓝天调查元素,但特别关注通过改进勘探工具使行业受益的结果。因此,该项目以一种通常不可能通过行业资助的项目的方式弥合了学术研究和应用研究之间的鸿沟。这一衔接活动是重点专题呼吁的核心,特别是通过整合矿物系统研究、火成岩岩石学和地球化学方面的新进展,以期确定可作为新目标探路者的条件。一项关键成果将是一系列微量元素替代物,这将使采矿业能够在地方和区域范围内确定岩浆弧的潜在丰度。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Economic By-Products in copper Porphyries: Silver in the Ascutita Cu-Porphyry, Romania
铜斑岩的经济副产品:罗马尼亚 Ascutita 铜斑岩中的银
  • DOI:
    10.1016/j.oregeorev.2022.105135
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Eskdale A
  • 通讯作者:
    Eskdale A
Geosciences and the Energy Transition
  • DOI:
    10.3389/esss.2023.10072
  • 发表时间:
    2023-07
  • 期刊:
  • 影响因子:
    6.9
  • 作者:
    N. Gardiner;J. Roberts;G. Johnson;Daniel J. Smith;C. Bond;R. Knipe;S. Haszeldine;Sarah Gordon;M. O'Donnell
  • 通讯作者:
    N. Gardiner;J. Roberts;G. Johnson;Daniel J. Smith;C. Bond;R. Knipe;S. Haszeldine;Sarah Gordon;M. O'Donnell
Cumulate causes for the low contents of sulfide-loving elements in the continental crust
  • DOI:
    10.1038/ngeo2965
  • 发表时间:
    2017-07-01
  • 期刊:
  • 影响因子:
    18.3
  • 作者:
    Jenner, Frances Elaine
  • 通讯作者:
    Jenner, Frances Elaine
Mobilization and Fractionation of Magmatic Sulfide: Emplacement and Deformation of the Munali Ni-(Cu-Platinum Group Element) Deposit, Zambia
岩浆硫化物的流动和分馏:赞比亚 Munali 镍(铜铂族元素)矿床的侵位和变形
  • DOI:
    10.5382/econgeo.4906
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.8
  • 作者:
    Blanks D
  • 通讯作者:
    Blanks D
Chalcophile element processing beneath a continental arc stratovolcano
  • DOI:
    10.1016/j.epsl.2019.06.017
  • 发表时间:
    2019-09-15
  • 期刊:
  • 影响因子:
    5.3
  • 作者:
    Cox, Daniel;Watt, Sebastian F. L.;Hammond, Samantha J.
  • 通讯作者:
    Hammond, Samantha J.
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Daniel Smith其他文献

Deep Learning Based Event Reconstruction for the IceCube-Gen2 Radio Detector
IceCube-Gen2 无线电探测器基于深度学习的事件重建
  • DOI:
    10.22323/1.444.1102
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Glaser;N. Heyer;T. Glusenkamp;R. Abbasi;M. Ackermann;J. Adams;S. Agarwalla;J. Aguilar;M. Ahlers;J. Alameddine;N. M. Amin;K. Andeen;G. Anton;C. Argüelles;Y. Ashida;S. Athanasiadou;J. Audehm;S. Axani;X. Bai;A. Balagopal V.;M. Baricevic;S. Barwick;V. Basu;R. Bay;J. Becker Tjus;J. Beise;C. Bellenghi;C. Benning;S. BenZvi;D. Berley;E. Bernardini;D. Besson;Abigail C. Bishop;E. Blaufuss;S. Blot;M. Bohmer;F. Bontempo;J. Book;J. Borowka;C. Boscolo Meneguolo;S. Boser;O. Botner;J. Bottcher;S. Bouma;E. Bourbeau;J. Braun;B. Brinson;J. Brostean;R. Burley;R. Busse;D. Butterfield;M. Campana;K. Carloni;E. Carnie;M. Cataldo;S. Chattopadhyay;Thien Nhan Chau;Chujie Chen;Zheyang Chen;D. Chirkin;Seowon Choi;B. Clark;R. Clark;L. Classen;Alan Coleman;G. Collin;Janet M. Conrad;D. Cowen;B. Dasgupta;P. Dave;C. Deaconu;C. De Clercq;S. de Kockere;J. DeLaunay;D. Delgado López;Shuya Deng;K. Deoskar;A. Desai;P. Desiati;Krijn de Vries;G. de Wasseige;T. DeYoung;A. Diaz;J. C. Díaz;M. Dittmer;A. Domi;H. Dujmovic;M. DuVernois;T. Ehrhardt;P. Eller;E. Ellinger;S. El Mentawi;D. Elsässer;R. Engel;H. Erpenbeck;J. Evans;J. Evans;P. Evenson;K. L. Fan;K. Fang;K. Farrag;A. Fazely;A. Fedynitch;N. Feigl;S. Fiedlschuster;C. Finley;L. Fischer;B. Flaggs;D. Fox;A. Franckowiak;A. Fritz;T. Fujii;P. Furst;J. Gallagher;E. Ganster;Alfonso Garcia;L. Gerhardt;R. Gernhaeuser;A. Ghadimi;P. Giri;T. Glauch;N. Goehlke;S. Goswami;Darren Grant;S. Gray;O. Gries;Sean T. Griffin;S. Griswold;D. Guevel;C. Günther;P. Gutjahr;C. Haack;Tara Haji Azim;A. Hallgren;R. Halliday;S. Hallmann;L. Halve;F. Halzen;H. Hamdaoui;M. Ha Minh;K. Hanson;J. Hardin;A. Harnisch;P. Hatch;J. Haugen;A. Haungs;D. Heinen;K. Helbing;J. Hellrung;B. Hendricks;F. Henningsen;J. Henrichs;L. Heuermann;S. Hickford;A. Hidvégi;J. Hignight;C. Hill;G. Hill;K. Hoffman;Benjamin Hoffmann;Killian Holzapfel;S. Hori;K. Hoshina;Wenjie Hou;T. Huber;T. Huege;K. Hughes;K. Hultqvist;Mirco Hünnefeld;R. Hussain;K. Hymon;S. In;A. Ishihara;M. Jacquart;O. Janik;M. Jansson;G. Japaridze;M. Jeong;M. Jin;B. Jones;O. Kalekin;D. Kang;W. Kang;X. Kang;A. Kappes;D. Kappesser;L. Kardum;T. Karg;M. Karl;A. Karle;T. Katori;U. Katz;M. Kauer;J. Kelley;A. Khatee Zathul;A. Kheirandish;J. Kiryluk;S. Klein;Takurou Kobayashi;A. Kochocki;H. Kolanoski;T. Kontrimas;L. Kopke;C. Kopper;J. Koskinen;P. Koundal;M. Kovacevich;M. Kowalski;T. Kozynets;Carsten B. Krauss;I. Kravchenko;K. Jayakumar;E. Krupczak;Anil Kumar;E. Kun;N. K. Neilson;N. Lad;C. Lagunas Gualda;M. Larson;S. Latseva;F. Lauber;J. Lazar;Jiwoong Lee;K. Leonard DeHolton;A. Leszczyńska;M. Lincetto;Qinrui Liu;M. Liubarska;M. Lohan;E. Lohfink;J. LoSecco;C. Love;C. J. Lozano Mariscal;Lu Lu;F. Lucarelli;Y. Lyu;J. Madsen;K. Mahn;Y. Makino;S. Mancina;S. Mandalia;W. Marie Sainte;I. Mariş;S. Márka;Z. Márka;M. Marsee;I. Martinez;R. Maruyama;F. Mayhew;T. McElroy;F. McNally;J. V. Mead;K. Meagher;S. Mechbal;A. Medina;M. Meier;Y. Merckx;L. Merten;Zackary Meyers;J. Micallef;M. Mikhailova;J. Mitchell;T. Montaruli;R. Moore;Y. Morii;Bob Morse;M. Moulai;T. Mukherjee;R. Naab;R. Nagai;M. Nakos;A. Narayan;U. Naumann;J. Necker;A. Negi;A. Nelles;M. Neumann;H. Niederhausen;M. Nisa;A. Noell;A. Novikov;S. Nowicki;A. Nozdrina;E. Oberla;A. Pollmann;V. O'Dell;M. Oehler;B. Oeyen;A. Olivas;R. Orsoe;J. Osborn;E. O’Sullivan;L. Papp;N. Park;G. Parker;E. Paudel;L. Paul;C. Pérez de los Heros;T. Petersen;Josh Peterson;S. Philippen;S. Pieper;J. Pinfold;A. Pizzuto;I. Plaisier;M. Plum;A. Ponten;Yuriy Popovych;M. Prado Rodriguez;B. Pries;R. Procter;G. Przybylski;L. Pyras;J. Rack;M. Rameez;K. Rawlins;Z. Rechav;A. Rehman;P. Reichherzer;G. Renzi;E. Resconi;S. Reusch;W. Rhode;B. Riedel;M. Riegel;A. Rifaie;E. Roberts;S. Robertson;S. Rodan;G. Roellinghoff;M. Rongen;C. Rott;T. Ruhe;D. Ryckbosch;I. Safa;J. Saffer;D. Salazar;P. Sampathkumar;S. Sanchez Herrera;A. Sandrock;P. Sandstrom;M. Santander;S. Sarkar;S. Sarkar;J. Savelberg;P. Savina;M. Schaufel;H. Schieler;Sebastian Schindler;L. Schlickmann;B. Schlüter;F. Schlüter;N. Schmeisser;T. Schmidt;J. Schneider;F. Schröder;L. Schumacher;G. Schwefer;S. Sclafani;D. Seckel;M. Seikh;S. Seunarine;M. Shaevitz;R. Shah;Ankur Sharma;S. Shefali;N. Shimizu;Manuel Silva;B. Skrzypek;Daniel Smith;B. Smithers;R. Snihur;J. Soedingrekso;A. Søgaard;D. Soldin;P. Soldin;G. Sommani;D. Southall;C. Spannfellner;G. Spiczak;C. Spiering;M. Stamatikos;T. Stanev;T. Stezelberger;J. Stoffels;T. Sturwald;T. Stuttard;G. Sullivan;I. Taboada;A. Taketa;Hiroyuki Tanaka;S. Ter;M. Thiesmeyer;W. Thompson;J. Thwaites;S. Tilav;K. Tollefson;C. Tönnis;J. Torres;S. Toscano;D. Tosi;A. Trettin;Y. Tsunesada;C. Tung;R. Turcotte;J. P. Twagirayezu;B. Ty;M. U. Unland Elorrieta;A. Upadhyay;K. Upshaw;N. Valtonen;J. Vandenbroucke;N. van Eijndhoven;D. Vannerom;J. van Santen;J. Vara;D. Veberič;J. Veitch;M. Venugopal;S. Verpoest;A. Vieregg;A. Vijai;C. Walck;Chris Weaver;P. Weigel;A. Weindl;J. Weldert;C. Welling;Chris K. Wendt;J. Werthebach;M. Weyrauch;N. Whitehorn;C. Wiebusch;N. Willey;Dawn R. Williams;S. Wissel;L. Witthaus;Annika Wolf;M. Wolf;G. Worner;G. Wrede;S. Wren;Xianwu Xu;J. Yáñez;E. Yildizci;S. Yoshida;R. Young;Felix J. Yu;Shiqi Yu;T. Yuan;Zelong Zhang;P. Zhelnin;S. Zierke;M. Zimmerman
  • 通讯作者:
    M. Zimmerman
Estimation of Binary Markov Random Fields Using Markov chain Monte Carlo
使用马尔可夫链蒙特卡罗估计二元马尔可夫随机场
Aberystwyth University Draft Genome Assemblies of Xylose-Utilizing Candida tropicalis and Candida boidinii with Potential Application in Biochemical and Biofuel Production
阿伯里斯特威斯大学利用木糖的热带假丝酵母和博伊丁假丝酵母的基因组组装草案在生物化学和生物燃料生产中的潜在应用
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ab Smith;D. Hegarty;Matthew Fernandez;N. Ravella;A. Somani;Daniel Smith;M. Hegarty;N. Fernández;S. Ravella;J. Gallagher;David N. Bryanta
  • 通讯作者:
    David N. Bryanta
A Formula Goes to Court : Partisan Gerrymandering and the Efficiency Gap
公式告上法庭:党派选区划分与效率差距
  • DOI:
    10.1029/2006wr004954
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Daniel Smith
  • 通讯作者:
    Daniel Smith
Transfusion‐related acute lung injury: A thrombotic thrombocytopenic purpura treatment‐associated case report and concise review
输血相关急性肺损伤:血栓性血小板减少性紫癜治疗相关病例报告及简述
  • DOI:
    10.1002/jca.20158
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Julie Cruz;E. Skipworth;Deborah E. Blue;D. Waxman;L. Mccarthy;Daniel Smith
  • 通讯作者:
    Daniel Smith

Daniel Smith的其他文献

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{{ truncateString('Daniel Smith', 18)}}的其他基金

UKRI FCDO Senior Research Fellowships (Non-ODA): Critical minerals and supply chains
UKRI FCDO 高级研究奖学金(非官方发展援助):关键矿产和供应链
  • 批准号:
    EP/Y033183/1
  • 财政年份:
    2024
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant
Hub for Metabolic Psychiatry
代谢精神病学中心
  • 批准号:
    MR/Z503563/1
  • 财政年份:
    2024
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant
Mental Health and Circadian Science Network
心理健康和昼夜节律科学网络
  • 批准号:
    MR/X009726/1
  • 财政年份:
    2023
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant
Cross-disciplinary research for Discovery Science
发现科学的跨学科研究
  • 批准号:
    NE/X018415/1
  • 财政年份:
    2022
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant
Glasgow Application for a Mental Health Data Pathfinder award
格拉斯哥申请心理健康数据探路者奖
  • 批准号:
    MC_PC_17217
  • 财政年份:
    2018
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Intramural
SBIR Phase I: Novel Process Technology for Point-of-Generation Nitrogen Removal from Wastewater
SBIR 第一阶段:从废水中产生点脱氮的新型工艺技术
  • 批准号:
    1621647
  • 财政年份:
    2016
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Standard Grant
Control of Attention by the Motor System: A Motor Bias Theory of Attention
运动系统对注意力的控制:注意力的运动偏差理论
  • 批准号:
    ES/N018842/1
  • 财政年份:
    2016
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant
Tellurium and Selenium Cycling and Supply
碲和硒的循环和供应
  • 批准号:
    NE/M010848/1
  • 财政年份:
    2015
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant
Processes governing semi-metal - PGE linkage in crustal magmatic systems: opportunities for discovery and recovery
地壳岩浆系统中半金属-PGE连接的控制过程:发现和回收的机会
  • 批准号:
    NE/L002191/1
  • 财政年份:
    2013
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant
How does the eye-movement system mediate the formation, retention and recall of visuospatial working memories?
眼动系统如何介导视觉空间工作记忆的形成、保留和回忆?
  • 批准号:
    ES/I032118/1
  • 财政年份:
    2011
  • 资助金额:
    $ 30.29万
  • 项目类别:
    Research Grant

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地球最热的岩浆是否有超深岩浆海洋起源?
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