Advanced Data Analysis and Imaging Technologies for Seismic Reservoir Monitoring
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 63
Special Issue Editors
Interests: reflection seismic method; full waveform inversion; seismic interferometry; passive and active seismic data imaging; geological storage of CO2; seismic reservoir characterization; time-lapse seismic monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: exploration seismic data processing methods; passive source seismic data processing and imaging methods; data-driven active source seismic wavefield reconstruction systems
Special Issue Information
Dear Colleagues,
Seismic reservoir monitoring plays a crucial role in modern geophysical exploration. It is not only vital for oil and gas exploration, development, and production management, it also significant for understanding and predicting geological disasters, for assessing the potential of renewable resources, and for environmental monitoring. Seismic exploration methods allow for the high-precision imaging of subsurface structures and offer quantitative interpretations of reservoir parameters, such as porosity, lithology, and rock–fluid properties through various inversion algorithms. The effective analysis of seismic data using advanced data analysis, inversion, and imaging techniques has become particularly important. This Special Issue aims to collect the latest advancements and innovative methods in seismic data processing, imaging, and interpretation research, especially those technologies that can enhance the accuracy and efficiency of seismic reservoir monitoring. We encourage submissions that cover research from active and passive seismic data analysis to seismic processing inversion and imaging, as well as studies utilizing machine learning and artificial intelligence to optimize the seismic reservoir monitoring and interpretation processes. We look forward to receiving both original research articles and case studies.
Dr. Fengjiao Zhang
Prof. Dr. Zhuo Xu
Guest Editors
Manuscript Submission Information
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Keywords
- seismic reservoir monitoring
- seismic data analysis
- seismic imaging
- machine learning
- seismic inversion
- full waveform inversion
- multi-source seismic imaging
