Добрый день, Коллеги. Важное сообщение, просьба принять участие. Музей Ферсмана ищет помощь для реставрационных работ в помещении. Подробности по ссылке
More than thirty years ago, microprobe analysis introduced the possibility of analyzing quantitatively in situ small surfaces of polished sections, rendering obsolete many of the optical measurements and other data that had been presented in many standard ore-mineralogy textbooks, and thus a new approach to the subject was called for. In addition, it should also be pointed out that whereas many excellent books are available on the mineralogy of ore minerals (see page 218) and a thorough treatment of mineral species is presented in their special sections, it is believed that as microprobe analytical facilities develop and are widely applied, the identification and compositional variation of ore minerals will become more and more a matter of microprobe analysis and x-ray studies. <...>
A forerunner of the ATLAS was first published in 1970(1). This early survey comprised 27 zeolite structures known at the time. Then the "Atlas of Zeolite Structure Types" by W.M. Meier and D.H. Olson, with 38 entries, was published by the Structure Commission of the IZA in 1978. This was followed by the much expanded 2nd edition of the ATLAS in 1988 comprising 64 entries, the updated 3rd edition in 1992 with 85 entries, and the fully revised 4th edition in 1996 with 98 entries. This 5th edition is again an updated version of the previous compilation, and the number of entries has risen significantly to 133.
Analyses of geological structures from field exposure of rocks have been one of the important and intriguing disciplines in (applied) Earth Sciences. Since the 1990s, especially after the boom of three‐dimensional seismic technologies, reflection seismic data in two and three dimensions have become the modern ‘field’ for geologists. A large number of exploration geoscientists analyze reflection seismic data to interpret sedimentary sequences and deformation structures to provide prospective leads for exploration in their respective industries. Today, seismic data are used extensively in industries such as hydrocarbon and mineral exploration, carbon dioxide sequestration, sea floor hazard surveys for cables and pipelines and so on. This book primarily deals with reflection seismic data in the hydrocarbon industry.
The Australasian Code for Reporting of Mineral Resources and Ore Reserves (the ‘JORC Code’ or ‘the Code’) sets out minimum standards, recommendations and guidelines for Public Reporting of exploration results, Mineral Resources and Ore Reserves in Australasia. It has been drawn up by the Joint Ore Reserves Committee of The Australasian Institute of Mining and Metallurgy, the Australian Institute of Geoscientists and the Minerals Council of Australia. The Joint Ore Reserves Committee was established in 1971 and published a number of reports which made recommendations on the classification and Public Reporting of Ore Reserves prior to the first release of the JORC Code in 1989. <...>
Australian Landscapes is at least the third edited volume to be devoted to Australian geomorphology in the last half-century, two others being Landform Studies from Australia and New Guinea (Jennings & Mabbutt 1967) and Landform Evolution in Australasia (Davies & Williams 1978). There is a strong thread running between those two volumes and this one: the second volume marked the retirement of Joe Jennings, who was one of the editors of the first volume, and this volume honours one of the editors of the second, Martin Williams, along with John Chappell; both John and Martin retired recently. The legacy of Joe Jennings, who supervised the PhD research of both Martin and John, is summarized briefly in an Appendix to this Introduction. The fact that we, the editors of this current volume, were supervised in our PhD research by John (B.P.) and Martin (P.B.) continues that intertwining of threads.
Австралийские протерозойские месторождения железо-оксид-медь-золотых м-й: обзор с новыми металлогеническими и геологоразведочными данными из района Клонкарри, Северо-Западный Квинсленд.
Enigmatic hydrothermal vein/breccia/replacement Cu-Au deposits with magnetite and/or hematite are well-represented in Australian 1850 Ma to 1500 Ma terrains and associated with different-aged synorogenic intrusions in the Tennant Creek Block (ca. 1850 Ma); the Gawler-Curnamona region (1640 Ma to 1590 Ma); and the Cloncurry district (Mount Isa Eastern Fold Belt, 1540 Ma to 1500 Ma with a possible earlier event at ca. 1600 Ma). No deposits are known to be coeval with various 1780 Ma to 1610 Ma anorogenic intrusions. Deposits are hosted by many different rock-types with varying metamorphic grade including granites and various supracrustal rocks. Depth of mineralization varied from many kilometers in semiductile crust (e.g., Cloncurry deposits) to very shallow (e.g., Olympic Dam).
There are two main issues stemming from Vallée’s (2002) comments on Dominy et al. (2001b). First, he raises the importance of quality assurance/quality control (QA/QC) during resource estimation programs, and second, he indicates that the resolution and understanding of continuity (grade and geological) issues are paramount in the classification of resources. In particular, continuity is critical at the boundary between the Inferred and Indicated Mineral Resource categories.
Currently, a geologist should manually fill an electronic table while he describes rocks or scratch a description on a blanket. This takes a lot of time and effort. Lots of researchers have developed their approach to autonomous rock classification. Unfortunately, all of them are based on a core column investigation. Most used a traditional approach to image classification based on a statistical analysis of images and machine learning techniques. Modern deep learning techniques were applied to classify and segment core images in this work. An important note is that previous works cover only core column examination, while this paper presents an approach to extract core columns from a core box. Thus, a geologist should not spend time on a manual description of the core or extraction of separate images out of a core box. This can be done by applying the developed algorithms described in this work. The algorithms were also included in a system which became worldwide available software.
