GEOPHYSICAL JOURNAL INTERNATIONAL
Scope & Guideline
Exploring Geophysical and Geochemical Innovations
Introduction
Aims and Scopes
- Seismic Imaging and Tomography:
Focuses on the development and application of seismic imaging techniques, including full-waveform inversion, ambient noise tomography, and the analysis of seismic waves to understand the Earth's subsurface structure. - Geophysical Inversion Techniques:
Emphasizes methods for inverting geophysical data, such as gravity, magnetic, and electrical data, to extract subsurface information, often employing Bayesian approaches and machine learning techniques. - Earthquake Analysis and Monitoring:
Covers studies related to earthquake characterization, including source mechanisms, aftershock sequences, and seismic hazard assessments, utilizing various observational data and computational models. - Volcanology and Magmatic Processes:
Explores the geophysical aspects of volcanic activity, including magma movement, eruption dynamics, and the interpretation of volcanic tremors through seismic and acoustic methods. - Geodesy and Surface Deformation:
Involves the measurement and modeling of surface deformations due to tectonic activity, hydrological changes, and anthropogenic effects using GNSS and InSAR methods. - Machine Learning in Geophysics:
Investigates the application of machine learning techniques for data analysis, event detection, and predictive modeling within geophysical contexts. - Fluid Dynamics in Geophysical Contexts:
Examines the role of fluid flow in geological processes, including induced seismicity, hydrocarbon reservoir evaluation, and the mechanics of fluid-saturated rocks. - Environmental Geophysics:
Focuses on the application of geophysical methods to address environmental issues, such as groundwater flow, contamination detection, and subsurface resource exploration.
Trending and Emerging
- Data-Driven Approaches and Machine Learning:
The application of machine learning techniques for event detection, data analysis, and predictive modeling is on the rise, showcasing the integration of artificial intelligence within geophysical research. - Real-Time Monitoring and Early Warning Systems:
There is an increasing focus on developing real-time monitoring systems for seismic events and early warning capabilities, utilizing GNSS, InSAR, and other advanced technologies to enhance public safety. - Coupled Geophysical and Geochemical Studies:
Research integrating geophysical methods with geochemical analyses to understand complex geological processes, such as volcanic activity and fluid migration, is gaining traction. - High-Resolution Imaging Techniques:
Advancements in imaging methodologies, including high-resolution seismic imaging and ambient noise correlation techniques, are trending, allowing for more detailed subsurface investigations. - Climate Change and Environmental Geophysics:
Research addressing the impacts of climate change on geological processes and utilizing geophysical methods to study environmental issues, such as groundwater depletion and land subsidence, is increasingly relevant. - Induced Seismicity and Reservoir Engineering:
The study of induced seismicity related to geothermal energy extraction and hydraulic fracturing is emerging as a significant area of interest, linking geophysics with energy sustainability. - Multiscale and Multimodal Data Integration:
Research efforts focused on integrating multiple geophysical datasets across various scales are trending, enhancing the understanding of complex geological systems.
Declining or Waning
- Traditional Geophysical Surveys:
There is a noticeable decline in papers focused on conventional geophysical survey techniques, such as simple resistivity and standard seismic surveys, as researchers increasingly shift towards advanced computational methods and integrated approaches. - Low-Resolution Studies:
Research emphasizing low-resolution geophysical studies, which do not utilize high-density data or advanced imaging techniques, is becoming less prevalent, overshadowed by the push for high-resolution and detailed analyses. - Static Models and Simplistic Approaches:
The use of static models that fail to account for dynamic geological processes and temporal changes is waning, as the field moves towards more dynamic and time-dependent modeling approaches. - Basic Petrophysical Analysis:
There has been a decrease in the number of studies that focus solely on basic petrophysical properties without integrating advanced geophysical techniques or modeling, as the community seeks more comprehensive analyses.
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