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JCR 2016
جستجوی مقالات
پنجشنبه 27 آذر 1404
International Journal of Mining and Geo-Engineering
، جلد ۵۱، شماره ۱، صفحات ۹۷-۱۰۴
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
An Image Analysis-Based Methodology for Chromite Exploration through Opto-Geometric Parameters; a Case Study in Faryab Area, SE of Iran
چکیده انگلیسی مقاله
Traditional methods of chromite exploration are mostly based on geophysical techniques and drilling operations. They are expensive and time-consuming. Furthermore, they suffer from several shortcomings such as lack of sufficient geophysical density contrast. In order to overcome these drawbacks, the current research work is carried out to introduce a novel, automatic and opto-geometric image analysis (OGIA) technique for extracting the structural properties of chromite minerals using polished thin sections prepared from outcrops. Several images are taken from polished thick sections through a reflected-light microscope equipped with a digital camera. The images are processed in filtering and segmentation steps to extract the worthwhile information of chromite minerals. The directional density of chromite minerals, as a textural property, is studied in different inclinations, and the main trend of chromite growth is identified. Microscopic inclination of chromite veins can be generalized for exploring the macroscopic layers of chromite buried under either the surface quaternary alluvium or overburden rocks. The performance of the OGIA methodology is tested in a real case study, where several exploratory boreholes are drilled. The results obtained show that the microscopic investigation outlines through image analysis are in good agreement with the results obtained from interpretation of boreholes. The OGIA method represents a reliable map of the absence or existence of chromite ore deposits in different horizontal surfaces. Directing the exploration investigations toward more susceptible zones (potentials) and preventing from wasting time and money are the major contributions of the OGIA methodology. It leads to make an optimal managerial and economical decision.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
منصور ضیایی |
faculty of mining, petroleum and geophysics, shahrood university of technology
سازمان اصلی تایید شده
: دانشگاه صنعتی شاهرود (Shahrood university of technology)
علی اکبر پویان | ali a
school of computer engineering, shahrood university, shahrood, iran
سازمان اصلی تایید شده
: دانشگاه شاهرود (Shahrood university)
رحمان یوسف زاده |
school of computer engineering, shahrood university, shahrood, iran
سازمان اصلی تایید شده
: دانشگاه شاهرود (Shahrood university)
جواد غیاثی freez | ghiasi freez
school of mining, petroleum and geophysics, shahrood university, shahrood, iran
سازمان اصلی تایید شده
: دانشگاه شاهرود (Shahrood university)
نشانی اینترنتی
http://ijmge.ut.ac.ir/article_62158_d6bacf980382aedb9e65ab42447c1da9.pdf
فایل مقاله
اشکال در دسترسی به فایل - ./files/site1/rds_journals/421/article-421-413563.pdf
کد مقاله (doi)
زبان مقاله منتشر شده
en
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