Geoscientist Artificial Intelligence

Geoscientist Artificial IntelligenceGeoscientist Artificial IntelligenceGeoscientist Artificial Intelligence

Geoscientist Artificial Intelligence

Geoscientist Artificial IntelligenceGeoscientist Artificial IntelligenceGeoscientist Artificial Intelligence
  • Home
  • AI Signal Processing
    • Calibration & Validation
    • Deconvolution
    • Inverse Q Filtering
    • Noise Attenuation
    • Multiple Attenuation
    • Static Correction
  • AI Imaging
    • Velocity & NMO Analysis
    • Anisotropy Analysis
    • Time to Depth Convrsion
    • Stacking
    • Migration
    • Wave Equation Datuming
  • AI Seismic Modeling
    • Ray Tracing
    • Waveform Modeling
  • AI Reservoir Characterize
    • AI INVERSION
    • AI AVO Analysis
    • Rock Physics Modeling
  • AI Depth Conversion(Dvlp)
    • Multi-Component Analysis
    • Time-Depth Relationships
    • Well Log Integration
    • Seismic Interpretation
    • Uncertainty Analysis
    • Advanced Computaion Tech
  • AI Data Integration(Dvlp)
    • Gravity and Magnetic Data
    • Electromagnetic (EM)
    • Advaned Data Fusion
  • AI FWI(Dvlp)
    • Modeling and Simulation
    • Regularized & Constraints
    • Model Parameterization
    • Other Data Integration
    • Anisotropy & Attenuation
  • More
    • Home
    • AI Signal Processing
      • Calibration & Validation
      • Deconvolution
      • Inverse Q Filtering
      • Noise Attenuation
      • Multiple Attenuation
      • Static Correction
    • AI Imaging
      • Velocity & NMO Analysis
      • Anisotropy Analysis
      • Time to Depth Convrsion
      • Stacking
      • Migration
      • Wave Equation Datuming
    • AI Seismic Modeling
      • Ray Tracing
      • Waveform Modeling
    • AI Reservoir Characterize
      • AI INVERSION
      • AI AVO Analysis
      • Rock Physics Modeling
    • AI Depth Conversion(Dvlp)
      • Multi-Component Analysis
      • Time-Depth Relationships
      • Well Log Integration
      • Seismic Interpretation
      • Uncertainty Analysis
      • Advanced Computaion Tech
    • AI Data Integration(Dvlp)
      • Gravity and Magnetic Data
      • Electromagnetic (EM)
      • Advaned Data Fusion
    • AI FWI(Dvlp)
      • Modeling and Simulation
      • Regularized & Constraints
      • Model Parameterization
      • Other Data Integration
      • Anisotropy & Attenuation
  • Home
  • AI Signal Processing
    • Calibration & Validation
    • Deconvolution
    • Inverse Q Filtering
    • Noise Attenuation
    • Multiple Attenuation
    • Static Correction
  • AI Imaging
    • Velocity & NMO Analysis
    • Anisotropy Analysis
    • Time to Depth Convrsion
    • Stacking
    • Migration
    • Wave Equation Datuming
  • AI Seismic Modeling
    • Ray Tracing
    • Waveform Modeling
  • AI Reservoir Characterize
    • AI INVERSION
    • AI AVO Analysis
    • Rock Physics Modeling
  • AI Depth Conversion(Dvlp)
    • Multi-Component Analysis
    • Time-Depth Relationships
    • Well Log Integration
    • Seismic Interpretation
    • Uncertainty Analysis
    • Advanced Computaion Tech
  • AI Data Integration(Dvlp)
    • Gravity and Magnetic Data
    • Electromagnetic (EM)
    • Advaned Data Fusion
  • AI FWI(Dvlp)
    • Modeling and Simulation
    • Regularized & Constraints
    • Model Parameterization
    • Other Data Integration
    • Anisotropy & Attenuation

SEISMIC MODELING

 Seismic modeling is a fundamental technique in geophysics used to simulate how seismic waves travel through the Earth. It helps geoscientists understand subsurface structures and is essential in exploration seismology, earthquake seismology, and geotechnical studies.  

 

🔍 What is Seismic Modeling?

Seismic modeling involves using mathematical and computational methods to simulate the propagation of seismic waves through the Earth. It allows us to:

  • Predict how seismic waves interact with geological structures (faults, layers, salt domes, etc.) 
  • Test processing and imaging algorithms 
  • Design and optimize acquisition geometries 
  • Interpret real seismic data more accurately

 🧠 Main Types of Seismic Modeling 

Ray-based Modeling

Uses ray theory (high-frequency approximation) to trace the paths of seismic energy. 

  • Assumes wavefronts travel like light rays. 
  • Fast and useful for travel time and amplitude analysis (e.g., tomography, migration velocity analysis). 
  • Limitation: Can’t handle complex wave phenomena like diffraction or scattering well.

Wave Equation Modeling

 Solves the full wave equation to simulate wavefields. More accurate and computationally intensive.

a. Finite Difference Modeling (FDM)

  • Discretizes the wave equation on a grid. 
  • Simulates wavefields over time. 
  • Can model complex media and full wavefields (reflections, refractions, multiples, etc.)
     

b. Finite Element Modeling (FEM)

  • More flexible for complex geometries and varying grid densities. 
  • Better suited for irregular surfaces or highly anisotropic media.
     

c. Spectral Element / Pseudo-spectral Methods

  • Higher accuracy for fewer grid points. 
  • Efficient for large-scale problems, especially in 3D.

🎯 Applications of Seismic Modeling

 

🛢️ Oil & Gas Exploration

  • Simulate wave propagation through synthetic models to understand subsurface reservoirs. 
  • Model responses for different geological scenarios (e.g., with/without gas, oil saturation). 
  • Aid in seismic inversion and AVO (Amplitude Versus Offset) analysis.
     

🌍 Earthquake Seismology

  • Simulate wave propagation from fault ruptures. 
  • Understand how ground motion varies with local geology. 
  • Used in hazard assessment and earthquake engineering.
     

🧪 Algorithm Testing

  • Validate new processing methods like migration, demultiple, or inversion using synthetic data. 
  • Provides a controlled environment with known "truth."
     

🧱 Model Building

Before running a simulation, you need to define:

  • Velocity model: P-wave, S-wave, and density distribution. 
  • Geometry: Topography, layer interfaces, faults. 
  • Source: Location, wavelet, frequency content. 
  • Receiver layout: Spacing and location.

SEISMIC ray tracing

Seismic ray tracing is a method used in geophysics to model how seismic waves travel through the Earth. It's based on the principles of geometrical optics, similar to how light rays bend and reflect when moving through different media. In seismic applications, ray tracing helps us understand the paths, travel times, and amplitudes of seismic waves as they move through subsurface layers with varying velocities.

   

Key Concepts of Seismic Ray Tracing

1. Seismic Rays:

  • Represent the path of energy propagation (not the actual wavefronts).
  • Travel along curves determined by changes in seismic velocity (e.g., due to geological layering).

2. Snell’s Law:

  • Governs how rays bend (refract) at boundaries between layers with different seismic velocities.

  

3. Types of Rays:

  • Direct rays: travel straight to the receiver.
  • Reflected rays: bounce off interfaces between layers.
  • Refracted rays: bend and travel along an interface (critical refraction).
  • Head waves: travel along high-velocity layers and radiate energy back up.

4. Travel Time Calculation:

  • Ray tracing is used to calculate the travel time of seismic waves from source to receiver.
  • This is essential for imaging and inversion (e.g., in migration or tomography).

  

🛠️ Applications of Seismic Ray Tracing

  • Seismic Tomography: Estimate subsurface velocity structures.
  • Migration Algorithms: For imaging reflectors at their true positions.
  • Travel-Time Inversion: Deriving velocity models from observed arrival times.
  • Synthetic Modeling: Predicting wave behavior before field acquisition.

  

📈 Output of Ray Tracing

A common output might include:

· Ray paths plotted over a velocity model.

· Travel-time curves (arrival time vs. offset).

· Amplitude information if ray-based amplitude modeling is included.

Analytical Ray Tracing (Layered Media)

Used for: Simple horizontally layered or piecewise homogeneous media.

✅ Key Features:

· Solves travel times and ray paths using exact formulas.

· Fast and efficient for basic Earth models.

🔻 Limitations:

· Doesn’t handle curved interfaces, velocity gradients, or complex geology.

Shooting Method (Two-Point Ray Tracing)

Used for: Complex velocity models where you want the ray to connect a source and a receiver.

✅ Key Features:

· Start with an initial take-off angle from the source.

· Integrate the ray path numerically through the model.

· Adjust the angle iteratively to hit the receiver.

🔧 Implementation:

· Solves the eikonal equations using ray theory

· Uses methods like Runge-Kutta for numerical integration.

🔻 Limitations:

· Can miss the receiver if the initial guess is poor.

· Sensitive to caustics and triplications.

Bending Method (Ray Bending or Ray Perturbation)

Used for: Smoothly varying velocity models.

✅ Key Features:

· Iteratively adjusts the ray path to minimize travel time using Fermat’s principle.

· Assumes the ray path should bend smoothly in high-gradient velocity zones.

🔧 Example:

· Start with an initial guess of ray path.

· Apply a bending algorithm (e.g., controlled bending, linearization).

· Recompute the path until convergence.

🔻 Limitations:

· Slower than shooting methods.

· Doesn’t always handle multiple arrivals well.

Finite Difference Methods

Used for: Grid-based velocity models, fast travel time maps.

✅ Key Features:

· Solves the eikonal equation.

· Computes first-arrival travel times from a source to all grid points.

📌 Algorithms:

· Fast Marching Method (FMM)

· Fast Sweeping Method (FSM)

🔻 Limitations:

· Only gives first arrivals (can’t model multipathing).

· No explicit ray paths, unless extracted with ray backtracking.

Wavefront Construction Methods

Used for: High-frequency wave propagation modeling.

✅ Key Features:

· Models a wavefront by tracing many rays and tracking their evolution.

· Can simulate diffraction and multiple arrivals.

🔧 Example:

· Dynamic ray tracing includes amplitude, wavefront curvature, and ray density.

🔻 Limitations:

· Computationally intensive.

· More complex to implement.

VSP downgoing wave construction with ray tracing to check the validity of VSP first arrivals. Velocity model for ray tracing has been supplied by sonic log.

Surface shooting on folded dipping area with generated shot plot using Wavefront Construction Method

Surface shooting on folded dipping area with generated shot plot using Wavefront Construction Method

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