Search for dissertations about: "deep exploration"

Showing result 1 - 5 of 65 swedish dissertations containing the words deep exploration.

  2. 1. Seismic Exploration Solutions for Deep-Targeting Metallic Mineral Deposits : From high-fold 2D to sparse 3D, and deep-learning workflows

    Author : Magdalena Markovic; Alireza Malehmir; Gilles Bellefleur; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Exploration; Seismic; Mineral Deposits; Diffraction; Deep learning;

    Abstract : Mineral exploration has in recent years moved its focus to greater depths than ever before, particularly in brown fields. Exploring new deposits at depth, if economical, would not only expand the life of mine but also provide minimal environmental impacts. It allows the existing mining infrastructures to be used for a longer period. READ MORE

  4. 2. A feasibility study of exploration for deep seated ore bodies in the Skellefte field

    Author : Kerstin Malmqvist; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Monte Carlo simulation; deep exploration; massive sulphides;

    Abstract : Simulation technique has been used for a feasibility study of a deep exploration project for massive sulphides in an old mining district, the Skellefte field. The outcome under very different conditions has been studied. READ MORE

  5. 3. Seismic investigations and physical property studies of natural resources in Finland and Sweden : Efficient exploration of groundwater and mineral resources

    Author : Georgiana Maries; Alireza Malehmir; Christopher Juhlin; Musa Manzi; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Seismic reflection; seismic refraction; esker; glacial sediments; iron-oxide; hardrock; efficient exploration; physical property; forward modeling; seismic quality factor; Finland; Sweden; Bergslagen;

    Abstract : Natural resources, such as mineral deposits and groundwater in particular, are crucial for our society, as the world prepares itself for a smooth transition towards green technologies and decarbonization. Apart from extraction and use, innovative mineral exploration solutions are needed to complete the full value chain and to achieve the sustainable development goals. READ MORE

  6. 4. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

    Author : Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural networks; evolutionary deep learning; evolutionary machine learning; feature selection; hyperparameter optimization; evolutionary computation; particle swarm optimization; genetic algorithm;

    Abstract : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. READ MORE

  7. 5. Application of the Seismic Reflection Method in Mineral Exploration and Crustal Imaging : Contributions to Hardrock Seismic Imaging

    Author : Omid Ahmadi; Christopher Juhlin; Alireza Malehmir; Gilles Bellefleur; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Seismic reflection; Hardrock; Mineral exploration; Crustal imaging; Interpretation; Modeling; Geofysik med inriktning mot fasta jordens fysik; Geophysics with specialization in Solid Earth Physics;

    Abstract : The seismic reflection method has been used extensively in mineral exploration and for imaging crustal structures within hardrock environments. In this research the seismic reflection method has been used and studied to address problems associated with hardrock settings. READ MORE