The Journal of Seismic Exploration aims to accelerate the development of smarter, more efficient, and more sustainable seismic solutions for energy, mineral, engineering, fluid, environmental, and planetary exploration.
The journal covers the full spectrum of seismic exploration, embracing both active- and passive-source methodologies across onshore, marine, borehole, and near-surface environments. Application domains include petroleum geology, reservoir characterization, unconventional resource assessment, geothermal exploration, coal and mineral prospecting, fluid investigations, engineering and environmental studies, as well as carbon storage monitoring and hazard assessment. The journal also encourages interdisciplinary studies of seismic exploration and other disciplines, such as high-performance computing, artificial intelligence, rock physics, geomechanics, and planetary sciences.
Section 1: Seismic Theory and Methods
Topics include:
- Seismic wave propagation theory and modeling
- Seismic signal processing and data conditioning
- Seismic imaging and migration
- Seismic inversion and parameter estimation
- Seismic attribute analysis and feature extraction
- Seismic acquisition technologies and design
- Borehole and crosswell seismic methods
- Passive seismic and interferometric methods
Section 2: Seismic Applications
Topics include:
- Petroleum geophysicsand basin analysis
- Reservoir characterization and monitoring
- Unconventional resourcesseismic exploration
- Marine and deepwater seismic exploration
- Geothermal resource seismic exploration
- Coal and mineral seismic exploration
- Engineering, near-surface, and environmental seismology
- Seismic hazard, induced seismicity, and monitoring
Section 3: Interdisciplinary Advances in Seismic Exploration
Topics include:
- Computational seismology and high-performance computing (HPC)
- Artificial intelligence and machine learning applications
- Petrophysics and seismic rock physics integration
- Seismic geomechanics and coupled processes
- Planetary and extraterrestrial seismology
- Emerging sensors and acquisition paradigms
- Data science, benchmark datasets, and software
- Integrated case studies, data verification, and comparative analysis
- Multi-physics and joint inversion