Gold industry
Forrestania Resources Limited has announced its acquisition of the North Ironcap gold project, a significant gold exploration asset in Western Australia. The project has a long history of exploration, with drilling campaigns dating back to the 1980s, and has undergone considerable technical work, including metallurgical testing and pit design studies.
Mining industry
A new research study introduces CO2 laser surface vitrification as a sustainable method for managing copper mining tailings. The innovative technique transforms tailings into a stable and impermeable layer, immobilizing hazardous metals contained within them. The study offers a promising solution to critical challenges in mineral processing, reducing energy consumption
Mining industry
Strata Minerals Limited has made a significant step forward in the exploration of the Penny South Gold Project in Western Australia, with diamond drilling operations now underway. This program marks the first time diamond drilling is conducted at the site, and it is expected to comprise approximately 1,250 meters
Mining industry
A recent study has shed light on the hydrological behavior of coal mining subsidence areas in China, highlighting the significance of land use prediction and hydrological simulation models in understanding watershed responses to different subsidence levels. The research, conducted by researchers from China University of Mining and Technology, integrated the
Mining industry
An illegal miner's apology has been sparked by a joint operation between the Ghana Army and Police Service, which led to the arrest of the miner and three others in Manso-Bonteso in the Ashanti Region. The miner's comments, made in anger and frustration after a violent
Mining industry
Nigerian miners who were stranded in the Central African Republic (CAR) for 11 months have been rescued by the Nigerian government, bringing attention to the exploitation of migrant workers by unscrupulous employers. The miners, who were lured to CAR with promises of mining jobs, were left without pay and faced
Mining industry
In a heartwarming gesture of unity and intervention, the National Emergency Management Agency (NEMA) collaborated with the Ministry of Foreign Affairs and Nigeria's embassy in Bangui to evacuate 11 stranded Nigerian miners from the Central African Republic (CAR). The miners were abandoned by their Chinese employer in a
Mining industry
In recent years, Guazhou County in Gansu Province, China has prioritized the management of over-exploited areas, significantly reducing groundwater extraction and stabilizing water levels. Through a combination of technology-driven solutions, policy reforms, and community engagement, the county has achieved impressive results in water conservation and efficient use. Key Takeaways: * During
Mining industry
A new research study on environment and sustainability research has presented fresh data on the benefits of solid waste backfill disposal in mining areas. According to the study, the process of coal mining causes ecological damage such as surface subsidence, soil and water pollution, and land occupation. However, the use
Mining industry
A recent study has shed light on the effects of coal mining on vegetation cover in low hilly areas. Researchers from Henan Polytechnic University in China used Sentinel-2A remote sensing data to assess the cover of non-photosynthetic vegetation (NPV) and photosynthetic vegetation (PV) in a coal mine area. The study
Mining industry
A federal judge in Arizona denied a request to block the transfer of land for a massive copper mining project, sparking an immediate appeal from plaintiffs, including the San Carlos Apache Tribe and environmentalists. The project's proponents argue that it will bring economic benefits and create jobs, while
Mining industry
Researchers at Xinjiang University have published a study using advanced deep learning frameworks to analyze large-scale remote sensing data in the Yili mining area of China. The study findings highlight the potential of convolutional neural networks (CNN) and Long Short-Term Memory (LSTM) models in predicting ecological indicators such as fractional
