gscienceMining Science and Technology (Russia)Горные науки и технологии2500-0632The National University of Science and Technology MISiIS (NUST MISIS)10.17073/2500-0632-2025-06-422gscience-988Research ArticleGEOLOGY OF MINERAL DEPOSITSГЕОЛОГИЯ МЕСТОРОЖДЕНИЙ ПОЛЕЗНЫХ ИСКОПАЕМЫХAnalysis of a digital terrain model for solving geological problems by the example of Aktogai ore fieldАнализ цифровой модели рельефа для решения геологических задач на примере Актогайского рудного поляhttps://orcid.org/0000-0001-7092-1671СайбН.SeibN.

Надин Сайб – PhD (науки о Земле), главный геолог; старший научный сотрудник, школа наук о Земле

г. Алматы;

г. Усть-Каменогорск

Scopus ID 8417022400

Nadine Seib – PhD (Earth Sci.), Senior Geologist; Senior Research Fellow, School of Earth Sciences

Almaty;

Ust-Kamenogorsk

Scopus ID 8417022400

Snv63@yandex.comhttps://orcid.org/0009-0003-9596-4952БеловЮ.BelovYu.

Юрий Белов – старший геолог

Астана

Yu. Belov – Senior Geologist

Astana

belov010885@mail.ruhttps://orcid.org/0000-0002-9881-690XЗимановскаяН.ZimanovskayaN.

Наталья Александровна Зимановская – PhD (геология и разведка полезных ископаемых), ассоциированный профессор, старший научный сотрудник Центра компетенций и трансфера технологий в области геологии и горного дела

г. Усть-Каменогорск

Natalya A. Zimanovskaya – PhD (Geology and Mineral Exploration), Associate Professor, Senior Researcher, Center of Competence and Technology Transfer in Geology and Mining

Ust-Kamenogorsk

nata_zim@mail.ruhttps://orcid.org/0000-0002-4503-6838ОразбековаГ.OrazbekovaG.

Гулизат Багдатовна Оразбекова – PhD (геология и разведка полезных ископаемых), преподаватель кафедры автоматизации и информационных технологий

г. Семей

 

Gulizat B. Orazbekova – PhD (Geology and Mineral Exploration), Lecturer, Department of Automation and Information Technologies

Semey

orazbekova@bk.ruhttps://orcid.org/0000-0002-0803-1587ТретьяковаА.TretyakovaA.

Айжан Третьякова - главный геолог

г. Алматы

Aizhan Tretyakova - Senior Geologist

Almaty

A.Tretyakova@ordabasy.kzhttps://orcid.org/0009-0003-7241-5571МуратоваА.MuratovaA.

Асем Муратовна Муратова – докторант PhD (геология и разведка полезных ископаемых)

г. Усть-Каменогорск

Assem M. Muratova – PhD student (Geology and Mineral Exploration)

Ust-Kamenogorsk

Scopus ID 58574678800

 

muratova.assem@gmail.comhttps://orcid.org/0009-0002-7787-3427КасеновИ.KassenovI.

Исатай Касенов – главный специалист по ГИС

г. Астана

Issatay Kassenov – Chief GIS Specialist

Astana

is.kassenov@gmail.comТОО «KeplerGroup»; Восточно-Казахстанский технический университет имени Д. СерикбаеваКазахстанKepler group LTD, D. Serikbayev East Kazakhstan technical universityKazakhstanТОО «KazGeoExploration»КазахстанKazGeoExploration LLPKazakhstanВосточно-Казахстанский технический университет имени Д. СерикбаеваКазахстанD. Serikbayev East Kazakhstan Technical UniversityKazakhstanУниверситет ШакаримаКазахстанShakarim UniversityKazakhstanТОО «Бирюк-Алтын»КазахстанBiruk-Altyn LLPKazakhstan202513102025103245261Copyright © Seib N., Belov Y., Zimanovskaya N., Orazbekova G., Tretyakova A., Muratova A., Kassenov I., 20252025Сайб Н., Белов Ю., Зимановская Н., Оразбекова Г., Третьякова А., Муратова А., Касенов И.Seib N., Belov Y., Zimanovskaya N., Orazbekova G., Tretyakova A., Muratova A., Kassenov I.This work is licensed under a Creative Commons Attribution 4.0 License.https://mst.misis.ru/jour/article/view/988

The formation of terrain reflects a combination of geological processes, including tectonics, magmatism, and erosion. A digital terrain model (DTM) is an important tool for solving geological problems, including the prediction of ore deposits, especially in areas of low exploration maturity. The paper discusses the surface imprinting of geological processes that form a terrain, and also considers a method of digital terrain model analysis. The presented method allows identifying specific landforms similar to those formed above known deposits that makes it possible to add one more prospecting criterion when prospecting for porphyry deposits and deposits formed under similar conditions. The Aktogai ore field was selected as the object for studying the terrain above the known deposits. The Aktogai ore field is located in the northeastern part of Near-Balkhash territory. It includes two major porphyry copper deposits, Aktogai and Aidarly, a small copper deposit Kyzylkia, as well as a number of copper and polymetallic occurrences of porphyry and vein types associated with the Koldar granite massif of the "variegated batholith" formation. All objects identified within the Aktogai ore field were formed under specific structural conditions of ore formation and were affected by erosion processes to varying degrees. This, in turn, is expressed by the presence of local landforms of these objects on the day surface, which are characterized by different "terrain energy" factors. Analysis of the DTM surface allows not only to identify local landforms above an ore body and their morphological features, but also to indirectly assess the erosional truncation of the ore body. Based on morphological characteristics, it is also possible to classify host rocks lithological units. An assessment of the applicability of the method depending on the characteristics of an ore body and an indirect assessment of the tectonic conditions of deposit formation are provided. It has been established that large ore deposits (Aktogai, Aidarly, Zapadny Stockwork) manifest themselves in the terrain as local cauldron subsidences. These zones are characterized by a high degree of textural heterogeneity and coincide with areas of intense metasomatism. Areas morphologically and spectrally similar to the areas of known ore bodies have been identified, indicating their potential for further exploration. DTM and textural analysis methods allow identifying geological and structural features associated with porphyry systems and serve as an additional tool for predicting new ore bodies/deposits. The integration of morphometric (physiographic) and spectral analysis increases the reliability of the interpretation of geological processes.

Формирование рельефа отражает совокупность геологических процессов, включая тектонику, магматизм и эрозию. Цифровая модель рельефа (ЦМР) является важным инструментом при решении геологических задач, включая прогнозирование рудных объектов, особенно в условиях недостаточной геологической изученности территории. В статье рассмотрено отражение на поверхности геологических процессов, формирующих рельеф, также рассмотрен метод анализа цифровой модели рельефа (ЦМР). Представленный метод позволяет выделять особые формы рельефа, подобные тем, что были сформированы над известными месторождениями, что дает возможность добавить еще один поисковый признак при поисках порфировых месторождений и месторождений, образованных в схожих условиях формирования. Объектом для изучения рельефа над сформированными месторождениями было выбрано Актогайское рудное поле. Актогайское рудное поле расположено в Северо-Восточном Прибалхашье. Оно включает в себя два крупнейших медно-порфировых месторождения – Актогай и Айдарлы, мелкое медное месторождение Кызылкия, а также ряд медных и полиметаллических проявлений порфировой и жильной формации, приуроченных к Колдарскому массиву гранитоидов формации «пестрых батолитов». Все объекты, выявленные в пределах Актогайского рудного поля, были сформированы в определенных структурных условиях рудообразования и в разной степени затронуты эрозионными процессами. Это, в свою очередь, выражено наличием локальных форм рельефа этих объектов на дневной поверхности, которые характеризуются различными коэффициентами «энергии рельефа». Анализ поверхности ЦМР позволяет не только выделить надрудные локальные формы рельефа и их морфологические особенности, но и косвенно оценить эрозионный срез рудного объекта. По морфологическим признакам также можно разделить литологические разности вмещающих пород. Дана оценка применимости метода в зависимости от характеристик объекта, и косвенная оценка тектонической обстановки формирования месторождений. Установлено, что крупные рудные объекты (Актогай, Айдарлы, Западный штокверк) выражаются в рельефе как локальные понижения кальдерообразной формы. Эти зоны характеризуются высокой степенью текстурной неоднородности и совпадают с областями интенсивного метасоматоза. Выделены участки, морфологически и спектрально сходные с известными рудными телами, что указывает на их перспективность для дальнейших поисков. ЦМР и методы текстурного анализа позволяют выявлять геолого-структурные признаки, ассоциированные с порфировыми системами, и служат дополнительным инструментом при прогнозировании новых рудных объектов. Интеграция морфометрического и спектрального анализа повышает достоверность интерпретации геологических процессов.

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The authors declare that there are no conflicts of interest present.