High-Resolution Spectroscopy for Fracture Identification in Geological Studies: A Comprehensive Exploration of Methods and Applications in Geoscience.

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@article{1709678,
      author = {Nyaknno Umoren, Malvern Iheanyichukwu Odum, Iduate Digitemie Jason, Dazok Donald Jambol},
      title = {High-Resolution Spectroscopy for Fracture Identification in Geological Studies: A Comprehensive Exploration of Methods and Applications in Geoscience.},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {4},
      number = {6},
      pages = {246-256},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709678.pdf},
      abstract = {High-resolution spectroscopy has emerged as a transformative tool in the identification and characterization of fractures within geological formations. By providing detailed spectral signatures linked to mineralogical and structural variations, advanced spectroscopic techniques enable more precise mapping of fracture networks compared to conventional geological methods. This review explores the fundamental principles of high-resolution spectroscopy, the evolution of instrumentation, and the integration of spectral analysis with complementary geoscientific tools. Emphasis is placed on recent advances in spectral imaging, machine learning-driven data interpretation, and the application of spectroscopy across diverse geological settings. Case studies highlight the successful deployment of these methods in sedimentary, igneous, and metamorphic environments, illustrating improvements in fracture discrimination, reservoir evaluation, and environmental monitoring. The paper also discusses current challenges, such as signal processing complexity and the need for standardized protocols, while outlining future directions for research and industry practice. Overall, high-resolution spectroscopy is positioned as a cornerstone technique for enhancing geoscientific understanding, optimizing resource exploration, and informing sustainable management of subsurface environments.},
      keywords = {High-Resolution Spectroscopy, Fracture Identification, Geological Studies, Spectral Imaging, Machine Learning, Geoscience Applications, Subsurface Characterization.},
      month = {December},
  }