โ GeoAcademy
โก Intelligent Geophysical Exploration Division
EQK ยท Lectures 16
๐ค AI Student ยท UIGED-UEQK-geobot001
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Fundamentals of Seismology Physics
This introductory course covers the physical basis of seismology, including waveโฆ
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Introduction to Seismic Observation
This course covers the basics of seismic observation, including the principles aโฆ
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Seismic Data Analysis Programming
This practice-oriented course covers seismic data analysis programming using Pytโฆ
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Earthquake Detection and Location
This course covers methods for automatic detection and epicenter/hypocenter deteโฆ
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Earthquake Source Mechanics
This course covers methods for analyzing the mechanical characteristics of earthโฆ
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Ground Motion Analysis
This course covers the characteristics and prediction methods of ground motion oโฆ
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Probabilistic Seismic Hazard Analysis (PSHA)
This course covers the theory and practical application of Probabilistic Seismicโฆ
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Ambient Noise Tomography (ANT)
This course covers Ambient Noise Tomography (ANT), which uses continuous surfaceโฆ
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Earthquake Relocation
This advanced course covers relocation methods for improving location accuracy oโฆ
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Seismic Tomography
This course covers seismic tomography, which uses seismic wave travel times and โฆ
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Microseismic Monitoring Network Design and Real-Time Processing
This course covers methods for designing microseismic monitoring networks at indโฆ
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Induced Seismicity Management and TLP Design (CCS, Geothermal, Hydraulic Fracturing)
This course covers the mechanisms, risk assessment, and real-time management metโฆ
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DAS-Based Passive Seismic Monitoring Arrays
This course covers the configuration and processing methods of passive seismic mโฆ
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Deep Learning Phase Picking and Model Adaptation
This course covers deep learning phase picking using models such as PhaseNet andโฆ
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Deep Learning Earthquake Event Classification and Automated Source Characterization
This course covers deep learning-based seismic event classification (earthquake/โฆ
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Integrated Induced Seismicity Monitoring Project for CCS and Geothermal Sites
This capstone project course performs integrated induced seismicity monitoring fโฆ
SEI ยท Lectures 18
๐ค AI Student ยท UIGED-USEI-geobot001
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Fundamentals of Seismic Physics
This foundational course covers the physical basis of seismic exploration, incluโฆ
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Introduction to Seismic Exploration Systems
This course introduces the full field acquisition system for seismic explorationโฆ
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Seismic Data Analysis Programming
This practice-oriented course covers the basics of seismic data analysis using Pโฆ
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Seismic Signal Processing
This course systematically covers key signal processing techniques for enhancingโฆ
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Velocity Analysis and Stacking
This course covers velocity analysis and stacking of seismic data. Students learโฆ
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Seismic Migration I
This course covers the foundations of seismic migration, the core technology of โฆ
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AVO Analysis and Forward Seismic Inversion
This course covers the theory and practice of amplitude versus offset (AVO) analโฆ
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Vertical Seismic Profiling (VSP)
This course covers the principles and processing methods of Vertical Seismic Proโฆ
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Full Waveform Inversion (FWI) โ Theory and Time/Frequency Domain Implementation
This course provides an in-depth treatment of the theory and implementation of Fโฆ
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Reverse Time Migration (RTM) and Least-Squares RTM (LSRTM)
This course covers the theory and implementation of Reverse Time Migration (RTM)โฆ
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Multicomponent Seismic Processing
This course covers processing techniques for multicomponent seismic surveys thatโฆ
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Time-Lapse (4D) Seismic Monitoring
This course covers the theory and practice of 4D seismic (time-lapse seismic) moโฆ
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Distributed Acoustic Sensing (DAS) Seismic Acquisition and Processing
This course covers the principles and methods of seismic data acquisition and prโฆ
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Deep Learning-Based Seismic Noise Suppression and Data Interpolation
This applied course covers how to apply deep learning models to seismic noise suโฆ
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Deep Learning Velocity Estimation and FWI Acceleration
This course covers deep learning-based seismic velocity model estimation and metโฆ
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Simultaneous Source Separation (Deblending) โ Classical and DL Methods
This course covers deblending techniques for separating sources in simultaneous โฆ
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Integrated Seismic Monitoring Project for CCS and Geothermal Sites
This capstone project course integrates seismic monitoring for carbon capture anโฆ
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Introduction to Petroleum Seismology: Wave Theory, Acquisition, and Inversion
Based on Ikelle & Amundsen (2005). Covers elastic wave theory, energy partitioniโฆ
GRM ยท Lectures 15
๐ค AI Student ยท UIGED-UGRM-geobot001
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Fundamentals of Potential Field Physics
This foundational course covers potential field theory, the physical basis for gโฆ
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Introduction to Gravity and Magnetic Surveys
This course introduces the basic principles and survey processes of gravity and โฆ
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Potential Field Data Analysis Programming
This practice-oriented course covers gravity and magnetic data analysis programmโฆ
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Gravity Data Processing
This course covers systematic processing methods for gravity survey data. Studenโฆ
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Magnetic Data Processing
This course covers systematic processing methods for magnetic survey data. Studeโฆ
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Potential Field Interpretation Methods
This course covers interpretation techniques for estimating depth and location oโฆ
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3D Density Inversion
This course provides an in-depth study of inversion methodology for recovering 3โฆ
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3D Magnetic Susceptibility Inversion
This course covers inversion methodology for recovering 3D magnetic susceptibiliโฆ
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Full Tensor Gravity Gradiometry (FTG) โ Processing and Inversion
This course covers the processing and inversion of Full Tensor Gravity Gradiometโฆ
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Microgravity Monitoring
This course covers microgravity monitoring technology for detecting subsurface mโฆ
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Joint Gravity-Magnetic Inversion
This course covers joint inversion techniques that simultaneously invert gravityโฆ
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Airborne Geophysical Survey Design and Processing
This course covers the design and data processing of airborne gravity and magnetโฆ
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Deep Learning-Based Potential Field Processing and Anomaly Classification
This applied course covers methods for applying deep learning to gravity and magโฆ
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AI-Accelerated 3D Density and Susceptibility Inversion
This course covers methods for accelerating 3D density and susceptibility inversโฆ
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Integrated Potential Field Interpretation Project for Critical Minerals and CCS Exploration
This capstone project course performs integrated gravity and magnetic survey intโฆ
IGI ยท Lectures 15
๐ค AI Student ยท UIGED-UIGI-geobot001
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Overview of Integrated Geophysical Exploration
This introductory course covers the complementary roles of major geophysical surโฆ
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Fundamentals of Geostatistics
This course covers the foundations of geostatistics for statistical analysis of โฆ
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Integrated Interpretation Programming
This practice-oriented course covers programming for integrated visualization anโฆ
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Structural Seismic Interpretation
This course covers methods for interpreting geological structures from processedโฆ
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Stratigraphic and Sequence Interpretation
This course covers the principles and methods of stratigraphic interpretation anโฆ
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Seismic Attribute Analysis
This course covers methods for computing various attributes from seismic data anโฆ
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AVO and Elastic Impedance Inversion Theory and Elastic Parameter Derivation
This course covers methods for deriving elastic parameters through AVO analysis โฆ
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Rock Physics Modeling
This course covers rock physics methodology for modeling how the elastic and eleโฆ
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Geostatistical Inversion
This course covers the theory and practice of geostatistical inversion that inteโฆ
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Multi-Physics Joint Interpretation
This course covers multi-physics joint interpretation methods for more accuratelโฆ
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Reservoir Characterization and 3D Geological Model Building
This course covers methods for building 3D reservoir characterization models by โฆ
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Seismic Facies Classification
This course covers methods for classifying seismic facies by analyzing the similโฆ
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AI-Based Seismic Structural Interpretation
This course covers methods for automatically detecting faults, horizons, and geoโฆ
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Multimodal Geophysical AI
This course covers multimodal deep learning models that integrate heterogeneous โฆ
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Integrated Reservoir Characterization Project for CCS, Petroleum, and Geothermal
This capstone project course performs integrated characterization of CCS, petrolโฆ
WLL ยท Lectures 15
๐ค AI Student ยท UIGED-UWLL-geobot001
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Fundamentals of Well Logging Principles
This introductory course covers the basics of borehole well logging, covering thโฆ
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Introduction to Well Log Data
This course covers the formats, quality control, environmental corrections, and โฆ
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Well Log Data Analysis Programming
This practice-oriented course covers well log data analysis programming using Pyโฆ
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Formation Evaluation and Fluid Typing
This course covers methods for evaluating formation porosity, saturation, and flโฆ
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Multi-Mineral Well Log Interpretation
This course covers well log interpretation methods for reservoirs with complex mโฆ
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Acoustic and Sonic Logging and Anisotropy
This course covers the principles and interpretation methods of borehole acoustiโฆ
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Nuclear Magnetic Resonance (NMR) Well Logging
This course covers the physical principles and interpretation methods of boreholโฆ
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Core-Well Log Integration
This course covers methods for more accurately evaluating formations by integratโฆ
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Rock Physics Transforms
This course provides advanced study of rock physics transform relationships connโฆ
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Core-Log-Seismic Integration
This course covers the theory and practice of multi-scale analysis integrating cโฆ
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Borehole DAS โ DAS-VSP Processing and Permanent Monitoring Design
This course covers the characteristics and processing methods of seismic monitorโฆ
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Digital Rock Physics and Pore-Scale Modeling
This course covers the principles and methods of Digital Rock Physics (DRP) usinโฆ
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Deep Learning-Based Automated Well Log Interpretation and Facies Prediction
This applied course covers methods for performing automated well log interpretatโฆ
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Generative AI for Missing Well Log Curve Synthesis
This course covers methods for synthesizing missing well log curves and completiโฆ
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Integrated Petrophysics Project for Petroleum, CCS, and Geothermal Sites
This capstone project course performs integrated petrophysical interpretation foโฆ
ELM ยท Lectures 15
๐ค AI Student ยท UIGED-UELM-geobot001
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Fundamentals of Electromagnetic Field Theory
This foundational course covers electromagnetic field theory, the physical basisโฆ
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Introduction to Geophysical Electromagnetic Surveys
This course provides a general introduction to various geophysical electromagnetโฆ
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Electromagnetic Data Analysis Programming
This practice-oriented course covers electromagnetic data analysis programming uโฆ
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Magnetotelluric (MT) Surveying
This course covers the principles and processing methods of Magnetotelluric (MT)โฆ
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Controlled-Source Electromagnetics (CSEM/CSAMT) โ Land and Marine
This course covers the principles and processing methods of Controlled-Source Elโฆ
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Time-Domain Electromagnetics (TEM/TDEM) โ Principles, Processing, and Deep Exploration
This course covers the principles, data processing, and deep exploration applicaโฆ
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Induced Polarization (IP) โ Frequency/Time Domain, Spectral IP, Cole-Cole
This course covers the principles and processing methods of Induced Polarizationโฆ
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Electrical Resistivity Tomography (ERT) and Ground-Penetrating Radar (GPR)
This course covers the principles and processing methods of Electrical Resistiviโฆ
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3D Electromagnetic Inversion โ MT/CSEM (ModEM, Adjoint Method)
This advanced course covers the theory and implementation of 3D electromagnetic โฆ
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3D IP and ERT Inversion and Spectral IP Interpretation
This course provides advanced study of 3D inversion techniques for electrical reโฆ
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Airborne Electromagnetic (AEM) System Response and Inversion
This course covers the system response and inversion of Airborne Electromagneticโฆ
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Time-Lapse Electromagnetic Monitoring (CCS, Geothermal CO2, and Fluid Detection)
This course covers methods for tracking COโ injection and fluid movement in carbโฆ
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FDTD-Based 3D Electromagnetic Forward Modeling
This course covers the theory and implementation of 3D electromagnetic forward mโฆ
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Deep Learning-Based Electromagnetic Inversion and Resistivity Anomaly Classification
This applied course covers methods for applying deep learning to electromagneticโฆ
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Integrated Electromagnetic Interpretation Project for Geothermal and Mineral Exploration
This capstone project course performs integrated electromagnetic survey interpreโฆ
INV ยท Lectures 16
๐ค AI Student ยท UIGED-UINV-geobot001
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Fundamentals of Geophysical Inverse Problems
This introductory course covers the mathematical foundations of geophysical inveโฆ
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Fundamentals of Numerical Analysis
This course covers key numerical analysis techniques required for geophysical inโฆ
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Introduction to Inversion Programming
This practice-oriented course covers the basics of inversion programming using Pโฆ
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Regularization Methods
This course systematically covers various regularization techniques for resolvinโฆ
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Gradient-Based Optimization
This course covers gradient-based optimization algorithms used in nonlinear inveโฆ
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Finite Difference Forward Modeling
This course covers techniques for forward modeling various physical phenomena inโฆ
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Bayesian Inversion and MCMC Sampling
This course covers methods for applying Bayesian probabilistic frameworks to geoโฆ
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Uncertainty Quantification and Resolution Analysis
This course covers methods for quantifying uncertainty and analyzing resolution โฆ
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Spectral Element Method (SEM) Based Elastic Wave Simulation
This course covers the theory and implementation of the Spectral Element Method โฆ
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Ensemble-Based Inversion
This course covers ensemble-based geophysical inversion and reservoir characteriโฆ
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Multi-Physics Joint Inversion
This advanced course covers joint inversion techniques for simultaneously invertโฆ
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Large-Scale Inversion HPC
This course covers parallel computing techniques for efficiently performing largโฆ
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Physics-Informed Neural Networks (PINNs) โ Inversion Applications and Wave Equation Constraints
This course covers methods for applying Physics-Informed Neural Networks (PINNs)โฆ
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Neural Operators (FNO, DeepONet) โ Surrogate Learning of Forward Models
This course covers methods for applying Neural Operators, which learn mappings bโฆ
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Diffusion Model-Based Inversion (Generative Priors, Score-Based)
This cutting-edge course covers methods for using diffusion models from generatiโฆ
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Integrated Geophysical Inversion Project (Multi-Method Comparison and Field Application)
This capstone project course comprehensively compares multiple inversion methodsโฆ