Computer technology for interpreting vector measurements of the magnetic field

• Дата: 2021
• Автори: Mikheevа, T. L., Lapinа, O. P.
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Subbotin Institute of Geophysics of the NAS of Ukraine 2021
• Теми: vector magnetic prospecting; magnetic field components; software and algorithmic support; inverse problem; approximation construction; векторна магніторозвідка; компоненти магнітного поля; програмно-алгоритмічне забезпечення; обернена задача; апроксимаційна конструкція; векторная магниторазведка; компоненты магнитного поля; программно-алгоритмическое обеспечение; обратная задача; аппроксимационная конструкция
• Онлайн доступ: https://journals.uran.ua/geofizicheskiy/article/view/244083
• Назва журналу: Geofizicheskiy Zhurnal

Computer technology is presented to solve the inverse problem of magnetic field vector measurements using software and algorithmic support for an automated system to interpret potential fields. The technology includes constructing a numerical model of the magnetic field of the studied area, forming an initial approximation model, assessing the depth of the sources and their magnetization. An approximation structure is used to describe the sources of anomalies (a set of uniformly magnetized polygonal prisms). To solve the problem, we used real vector measurements of the magnetic field by the components Xа, Ya, Zа, Та in the sections of Gruzsko South and Gruzsko Severnaya. Geologically, the area belongs to the central part of the Ukrainian Shield — the Kirovograd tectonic megablock. The area of work is confined to the Subotsko-Moshorin latitudinal fault zone. The possibility of comparing the results of the interpretation of anomalies on each profile by the components of the anomalous magnetic field increases the reliability of the geological interpretation of magnetic prospecting data compared to the interpretation of modular surveys. The presence of vector measurements greatly facilitates the ability to determine the parameters of anomalous objects, which makes it possible to obtain more reliable solutions to the inverse problem. The use of vector information makes it possible to localize geological sources more successfully, thereby reducing the amount of work.