Geochemistry and petrography of REE-bearing Fe-oxide assemblages in Choghart iron deposit, Yazd, Iran

Shekarian, Younes; Hezarkhani, Ardeshir; Anaraki, Nima Najafi; Nikvar-Hassani, Arash

doi:10.1007/s12517-017-2986-0

Cited by 11 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Determining the three-dimensional location of checkpoints, geochemical sampling, geological structures and mineralization zones are precisely required in all stages of mining from exploration to reclamation (Shekarian et al, 2017;Battulwar et al, 2020). Finding the location of the geological structures orebodies and opening underground, however, is a different challenge in the mining and even oil and gas industry (Asgari et al, 2019;Rahimi et al, 2019).…”

Section: Global Positioning System and Coordinationmentioning

confidence: 99%

“…Mining is the most fundamental industry in the supply chain of resources for manufacturing, technology development and construction. Modern life depends on the exploration and extraction of minerals, such as metals, non-metals, aggregates, coal and strategic elements like REEs (Rahimi et al, 2016;Shekarian et al, 2017). The population growth exacerbates the demand for resource extraction (Futurist, 2001).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining Industry

Molaei

Rahimi

Siavoshi

et al. 2020

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

The integration of computer-based technologies interacting with industrial machines or home appliances through an interconnected network, for teleoperation, workflow control, switching to autonomous mode, or collecting data automatically using a variety of sensors, is known as Internet of Things (IoT). When applied inside an industrial context, it is possible to immediately benefit from the analytics obtained, contributing to process optimization, machine health, the safety of workers and asset management. IoT can assist real-time platforms in remotely monitoring and operating a complex production system with minimal intervention of humans. Hence it can be beneficial for hazardous industries, such as mining, by increasing the safety of personnel and equipment while reducing operation costs. An ideal smart automated mine could potentially be achievable by gradually taking advantage of IoT. Currently, different sensors are used in mine-related activities, such as geophones in exploration and blast control, piezometers in dewatering and toxic gas detectors in working frontlines. However, a fully integrated automated system is challenging in practice due to infrastructural limitations in communication, data management and storage. Moreover, the tendency of mining companies to continue with traditional methods instead of relying on untested novel techniques decelerates this progress. In this study, the adaptability of the mining industry to IoT systems and its current development is reviewed. Significant challenges of this progress are investigated and recommendations to develop a comprehensive model suited for different mining sections such as exploration, operation and safety considering flexible technologies such as Wireless Sensor Networks and the introduction of Global Data Management.

show abstract

Section: Global Positioning System and Coordinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining Industry

Molaei

Rahimi

Siavoshi

et al. 2020

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

show abstract

“…(Joseph, 1961). Moreover, there are some elements like trace and rare earth elements into the natural bitumen and oil sands, which makes them more valuable as a by-product (Tsoy, 2015;Rahimi et al, 2016;Shekarian et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

New Approach in Application of the AHP–Fuzzy TOPSIS Method in Mineral Potential Mapping of the Natural Bitumen (Gilsonite): A Case Study from the Gilan-e-Gharb Block, the Kermanshah, West of Iran

Rahimi¹,

Shekarian²,

Farahani³

et al. 2020

American Journal of Engineering and Applied Sciences

Self Cite

View full text Add to dashboard Cite

The Gilan-e-Gharb block is known as a prospective area for hydrocarbon resources in the form of oil, gas in deep potential and natural bitumen (Gilsonite) on the surface. Natural bitumen is not clearly detectable by geochemical or geophysical methods. Hereupon, identifying high potential areas for further exploration, attempted with the help of AHP-Fuzzy and TOPSIS methods. The comprehensive database of geological and geostructural records, satellite imagery analysis by remote sensing and mine indexes counted as the inputs for this method. First, the lithological unit as the main mineralization hosts determined with respect to the dominant geological structures as a factor of controlling natural bitumen placement (fold, fracture and faults) in the Gilan-e-Gharb block. The Gachsaran, Asmari, Pabdeh and Gurpi Formations identified as the most important lithological units for mineralization. Placement and distribution of natural bitumen mineralization in the form of mine indexes are added to the geology database. Finally, we assigned appropriate weights to applied information layers using Analytical Hierarchy Processing (AHP) based on knowledgeable information and field studies to synthesize exploratory data. Then, we used the FTOPSIS method to define the Positive Ideal Solution (FPIS, A+) that allows maximizing the beneficial characteristics and minimizing the impediment characteristics and the Negative Ideal Solution (FNIS, A-) that minimizes the beneficial characteristics and maximizes the impediment characteristics. This method, as a new approach in the exploration of minerals with a shortage of data, is applicable to other mineral deposits.

show abstract

Textural and compositional constraints on the origin, thermal history, and REE mobility in the Lakeh Siah iron oxide-apatite deposit—NE Bafq, Iran

et al. 2023

View full text Add to dashboard Cite

Geochemistry and petrography of REE-bearing Fe-oxide assemblages in Choghart iron deposit, Yazd, Iran

Cited by 11 publications

References 24 publications

A Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining Industry

A Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining Industry

New Approach in Application of the AHP–Fuzzy TOPSIS Method in Mineral Potential Mapping of the Natural Bitumen (Gilsonite): A Case Study from the Gilan-e-Gharb Block, the Kermanshah, West of Iran

Textural and compositional constraints on the origin, thermal history, and REE mobility in the Lakeh Siah iron oxide-apatite deposit—NE Bafq, Iran

Contact Info

Product

Resources

About