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Enregistrement W2980985329 · doi:10.5382/av100.26

Andean Copper Province<subtitle>Tectonomagmatic Settings, Deposit Types, Metallogeny, Exploration, and Discovery</subtitle>

2005· book-chapter· en· W2980985329 sur OpenAlexaboutno aff
Richard H. Sillitoe, José Perelló

Notice bibliographique

Revuenon disponible
Typebook-chapter
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSubtitleMetallogenyGeologyPolitical scienceLibrary scienceGeochemistryPhilosophy

Résumé

récupéré en direct d'OpenAlex

Abstract The Andes, in particular their central parts, have been known as a preeminent Cu province for more than 100 years and have been the source of many innovative metallogenic concepts and models directly applicable to Cu deposits worldwide. The central Andes currently produce 44 percent of world-mined Cu. The ~6,000-km-long Andean Cu province comprises several long and markedly linear, orogen-parallel metallogenic belts, each developed during a restricted metallogenic epoch. Belts in the northern Andes are still poorly explored, those in the central Andes are the focus of current Cu exploration and mining, and the southern Andes have little Cu potential. In the central Andes, from southern Peru to central Chile and contiguous Argentina, an incipiently developed belt of late Paleozoic to early Mesozoic porphyry Cu mineralization is partly overlapped by four eastward-younging Cu belts: middle to late Mesozoic on the Pacific coast, Paleocene to early Eocene, middle Eocene to early Oligocene, and, along the eastern border of the orogen, Miocene to early Pliocene, all but the first dominated by porphyry Cu mineralization. Porphyry Cu deposits in the northern part of the Paleocene to early Eocene belt, in southern Peru, and the southern part of the premier middle Eocene to early Oligocene belt, in northern Chile, coincide with major orogen-parallel fault systems that underwent synmineralization reverse displacement. The middle to late Mesozoic belt also contains major orogen-parallel faults but with normal and normal-oblique motions synchronous with Cu mineralization of Fe oxide-Cu-Au, manto-type Cu, and subordinate porphyry Cu types. In contrast, remaining portions of the Tertiary Cu belts, along with the central Chile segment of the Miocene to early Pliocene belt, lack evidence for such clearcut structural control on deposit location. The spatial distribution of Cu belts farther north is different, with only the Miocene to early Pliocene belt recognized in the central Andes of northern Peru and at least three belts developed semicontinuously in the northern Andes of Ecuador and Colombia. Compositions of host porphyry stocks and alteration-mineralization types and geometries in porphyry Cu-Mo and Cu-Au deposits throughout the Andes are grossly similar to those encountered elsewhere and do not appear to control either deposit size or hypogene ore grade. Nevertheless, deposits in the middle Eocene to early Oligocene belt of northern Chile, in particular, are characterized by telescoping of structurally localized high-sulfidation mineral assemblages over earlier and deeper alteration types. Hydrothermal breccias occur in many porphyry Cu centers, but ore-bearing varieties are volumetrically important in only three widely scattered deposits of different ages. Porphyry Cu-Au deposits and prospects, although concentrated in several discrete sub-belts and districts, also occur randomly throughout most of the belts. Geochronologic studies of several major deposits suggest that magmatic-hydrothermal lifespans commonly approximate 1 to 2 m.y. The three most productive porphyry Cu belts developed syntectonically during contractional events and crustal thickening, possibly linked to shallow subduction, forearc subduction erosion, and consequent arc migration. Suppression of volcanism during compression, high surface uplift rates, and rapid exhumation optimized the conditions for accumulation of fluid-rich magma in large, shallow-level chambers propitious for giant porphyry Cu development. The uplift was also ultimately responsible for the supergene upgrading of many Cu deposits, particularly in northern Chile. The concept of giant porphyry Cu deposit formation by superposition of two temporally discrete magmatic-hydrothermal systems lacks geologic support. Crustal composition appears to have exerted little influence on porphyry Cu genesis. In marked contrast to these contractional settings, extensional arcs in the Meso-Cenozoic Andes gave rise to smaller, lower grade porphyry Cu deposits. The attenuated crust, high heat-flow regime, and abundance of basaltic to intermediate-composition magmatism, characteristic of the middle to late Mesozoic belt in coastal southern Peru and Chile, provided optimal conditions for Fe oxide-Cu-Au and manto-type Cu formation, although the role of magmatic versus basinal brines in deposit genesis remains unresolved. A variety of geologic, geochemical, and geophysical techniques have been employed in Andean Cu exploration, but it is the combined routine geologic-geochemical approach that has resulted in most discoveries, including those during the past few years. Continued reliance on these tried-and-tested techniques, combined with timely drilling, is likely to be the best means of ensuring future exploration success. During the last 13 years, more than half of discoveries in the central Andes have been made beneath pre- or postmineral cover, a trend that is thought likely to continue. Nevertheless, undiscovered, at least partially exposed mineralization is also considered to exist, even in the premier middle Eocene to early Oligocene belt, which has accounted for approximately 65 percent of all Andean discoveries over the last three decades. Conceptual geology capable of predicting deposit locations, has played a very subordinate role in Cu discovery to date but is believed to be perhaps the single most underappreciated parameter for increasing the future discovery rate.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,175
Score d'incertitude au seuil0,464

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,005
Études des sciences et des technologies0,0020,002
Communication savante0,0040,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,1390,029

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,196
Écart entre enseignants0,182 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations150
Publié2005
Routes d'admission1
Résumé présentoui

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