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Geophysics
Showing 1-30 of 396 projects
High-Resolution 3D Full-Williamson Seismic Inversion for Subsurface Imaging Using Pa...
This study presents a novel methodology for achieving high-resolution 3D full-Williamson seismic inversion tailored to subsurface imaging in indigenous reservoi...
Adaptive Marine Seismic Imaging for High-Resolution Subsurface Inversion in Complex ...
Adaptive marine seismic imaging has emerged as a pivotal tool for unraveling complex subsurface structures where variable lithology, steep faults, and heterogen...
Integrated Geophysical Modelling and Inversion of Anisotropic Subsurface Geometro-Me...
Integrated Geophysical Modelling and Inversion of Anisotropic Subsurface Geometro-Mechanical Properties Using Multiphysics Data Assimilation develops a unified ...
Model-based seismic inversion for unmapped subsurface faults using ambient noise tom...
This study presents a model-based seismic inversion framework that leverages ambient noise tomography to map unmapped subsurface faults with high spatial fideli...
Characterizing subsurface seismic velocity heterogeneity using full-waveform inversi...
In this study, we present a robust full-waveform inversion (FWI) framework to characterize subsurface seismic velocity heterogeneity in complex tectonic setting...
Assessing subsurface seismic velocity anisotropy for hydrocarbon reservoir character...
This study presents a comprehensive investigation into subsurface seismic velocity anisotropy as a key parameter for hydrocarbon reservoir characterization, emp...
High-Resolution 3D Seismic Inversion for Sub-basement Fault Imaging Using Machine Le...
This study introduces a novel framework for high-resolution 3D seismic inversion aimed at sub-basement fault imaging, leveraging machine learning–driven regul...
Advanced 3D Inversion of Passive Seismic Data for High-Resolution Subsurface Velocit...
This study presents a novel framework for 3D inversion of passive seismic data to construct high-resolution subsurface velocity models in tectonically active re...
Estimating subsurface CO2 leakage pathways using 3D seismic attributes and probabili...
Accurate characterization of subsurface CO2 leakage pathways is critical for assessing the integrity of geological CO2 storage sites and mitigating environmenta...
Characterization of Subsurface Heterogeneity from 3D Full-WW seismic Inversion for C...
Characterization of Subsurface Heterogeneity from 3D Full-WW seismic Inversion for Carbonate Reservoirs investigates a novel integrative workflow to quantify an...
Assessment of Subsurface Structural Imaging using 3D Seismic Tomography and Inversio...
This study presents a comprehensive framework for improving subsurface structural imaging by integrating 3D seismic tomography with advanced inversion technique...
Integrated Seismic-Gravity Inversion for Subsurface Fluid-Content Estimation in Frac...
This study presents an integrated seismic-gravity inversion framework to estimate subsurface fluid content in fractured reservoirs, leveraging multi-physics dat...
Advanced seismic velocity model inversion for crustal imaging using joint travel-tim...
This study presents a comprehensive methodology for advancing crustal imaging through an integrative seismic velocity model inversion that simultaneously utiliz...
- 3D Inversion of Marine Magnetotelluric Data for Subsurface Conductivity Imaging in...
This study presents a holistic, multi-physics approach to subsurface characterization by integrating 3D inversion of marine magnetotelluric data, seismic tomogr...
1) 3D Seismic Inversion for Subsurface Property Estimation Using Joint Inversion of ...
This study presents a comprehensive, multi-method geophysical framework that advances subsurface property estimation and monitoring across hydrocarbons, carbon ...
Subsurface Characterization Using Passive Seismic Interferometry and Ambient Noise T...
Passive seismic interferometry and ambient noise tomography are applied to characterize subsurface structures within a folded tectonic setting, leveraging conti...
Development of a machine learning framework for automated geophysical prospecting us...
This study presents a novel machine learning framework designed to automate geophysical prospecting by fusing multi-physics data—seismic, gravity, magnetic, a...
Title: Integrated Seismic and Magnetotelluric Inversion for High-Resolution Subsurfa...
Integrated Seismic and Magnetotelluric Inversion for High-Resolution Subsurface Reservoir Characterization in Geophysics presents a multidisciplinary framework ...
Integrated Seismic Tomography and Magnetotelluric Inversion for High-Resolution Subs...
We present a comprehensive study that integrates seismic tomography and magnetotelluric inversion to achieve high-resolution subsurface imaging in tectonically ...
High-resolution 4D time-lapse seismic monitoring of CO2 sequestration sites using ma...
High-resolution 4D time-lapse seismic monitoring combines repeated 3D seismic surveys with advanced machine learning techniques to reveal dynamic subsurface cha...
Seismic Wave Analysis for Subsurface Structural Imaging Using Machine Learning Techn...
The application of machine learning techniques to seismic wave analysis offers a transformative approach to subsurface structural imaging, providing enhanced ac...
Seismic Wave Propagation Analysis for Subsurface Imaging Using Machine Learning Tech...
Seismic wave propagation analysis plays a pivotal role in understanding Earth's subsurface structures, vital for applications such as hydrocarbon exploration, e...
Seismic Imaging and Subsurface Characterization Using Machine Learning Techniques...
Seismic imaging, a pivotal technique in geophysics, provides detailed insights into the Earth's subsurface structures, essential for hydrocarbon exploration, ea...
Development of a Remote Sensing Technique for Subsurface Fault Detection in Tectonic...
Understanding and accurately detecting subsurface fault lines in tectonically active regions is crucial for earthquake risk assessment, urban planning, and reso...
Seismic Wave Propagation and Earthquake Hazard Assessment in Urban Areas...
This study investigates the dynamics of seismic wave propagation and the assessment of earthquake hazards within densely populated urban environments, aiming to...
Seismic Hazard Assessment and Ground Motion Prediction for Urban Infrastructure Plan...
Earthquakes pose a significant threat to urban infrastructure, necessitating comprehensive seismic hazard assessments and accurate ground motion predictions to ...
Seismic Wave Propagation and Subsurface Imaging Using Machine Learning Techniques...
This research explores the innovative application of machine learning techniques to enhance the understanding of seismic wave propagation and improve subsurface...
Assessment of Subsurface Hydrocarbon Reservoirs Using Integrated Seismic and Gravity...
The accurate assessment of subsurface hydrocarbon reservoirs is crucial for optimizing exploration and production activities, minimizing environmental impact, a...
Seismic Wave Propagation Modeling for Enhanced Earthquake Hazard Assessment...
This research investigates the modeling of seismic wave propagation to improve earthquake hazard assessment, aiming to provide more accurate predictions of grou...
Seismic Hazard Assessment and Earthquake Risk Modeling in Urban Areas...
Seismic hazard assessment and earthquake risk modeling in urban areas are critical components in the development of resilient urban infrastructure and effective...
