Geoscientist Artificial Intelligence
Geoscientist Artificial Intelligence
  • Home
  • Processing & Imaging
    • Anisotropy Analysis
    • Deconvolution
    • Inverse Q Filtering
    • Migration
    • Multiple Attenuation
    • Noise Attenuation
    • Ray Tracing
    • Stacking
    • Static Correction
    • Velocity & NMO Analysis
    • Waveform Modeling
    • Wave Equation Datuming
    • VSP
  • Interpretation
    • AVO Analysis
    • Data Conditioning
    • Facies Analysis
    • INVERSION
    • Rock Physics Modeling
    • Seismic Attributes
    • Spectral Blending
    • Well-Tie Analysis
  • More
    • Home
    • Processing & Imaging
      • Anisotropy Analysis
      • Deconvolution
      • Inverse Q Filtering
      • Migration
      • Multiple Attenuation
      • Noise Attenuation
      • Ray Tracing
      • Stacking
      • Static Correction
      • Velocity & NMO Analysis
      • Waveform Modeling
      • Wave Equation Datuming
      • VSP
    • Interpretation
      • AVO Analysis
      • Data Conditioning
      • Facies Analysis
      • INVERSION
      • Rock Physics Modeling
      • Seismic Attributes
      • Spectral Blending
      • Well-Tie Analysis
  • Home
  • Processing & Imaging
    • Anisotropy Analysis
    • Deconvolution
    • Inverse Q Filtering
    • Migration
    • Multiple Attenuation
    • Noise Attenuation
    • Ray Tracing
    • Stacking
    • Static Correction
    • Velocity & NMO Analysis
    • Waveform Modeling
    • Wave Equation Datuming
    • VSP
  • Interpretation
    • AVO Analysis
    • Data Conditioning
    • Facies Analysis
    • INVERSION
    • Rock Physics Modeling
    • Seismic Attributes
    • Spectral Blending
    • Well-Tie Analysis

VSP (vertical seismic profiling)

What is VSP (Vertical Seismic Profiling)?

Vertical Seismic Profiling (VSP) is a seismic measurement technique where:

  • Receivers (geophones) are placed inside a borehole (well) at different depths
  • Seismic sources are activated at or near the surface (or sometimes in another well)

So unlike surface seismic (where both source and receivers are on the surface), VSP records the seismic wavefield inside the Earth, very close to the geology of interest.

📌 In simple terms:

VSP listens to seismic waves from inside the Earth instead of only from the surface.

Why do we use VSP? (Key Advantages)

Because receivers are downhole:

  • Less surface noise
  • Less attenuation
  • Higher frequency content
  • Much better vertical resolution near the well

That makes VSP a bridge between well data and surface seismic.

Common Types of VSP (Quick Overview)

Type                                    Purpose

1) Zero-offset VSP             Time-depth, velocity, below-well imaging

2) Offset VSP                      Lateral imaging

3) Walkaway VSP              2D/3D imaging

4) Multi-azimuth VSP      Fractures & anisotropy

5) 3C-VSP                            Mode conversions, shear waves

Main Applications of VSP

1️⃣ Time–Depth Relationship (Seismic–Well Tie)

2️⃣ Wavefield Separation (Upgoing vs Downgoing)

2️⃣ Wavefield Separation (Upgoing vs Downgoing)

This is the classic use.

  • Converts well depth (m) ↔ seismic time (ms)
  • Calibrates surface seismic using real wave travel times
  • Much more reliable than sonic-only calibration

✅ Essential for:

  • Horizon picking
  • Depth conversion
  • Reducing misties

2️⃣ Wavefield Separation (Upgoing vs Downgoing)

2️⃣ Wavefield Separation (Upgoing vs Downgoing)

2️⃣ Wavefield Separation (Upgoing vs Downgoing)

Because data is recorded at depth:

  • Downgoing wavefield (direct arrivals)
  • Upgoing wavefield (reflections)

can be cleanly separated.

✅ Enables:

  • True reflection imaging near the well
  • Multiple identification
  • Cleaner signal analysis

3️⃣ High-Resolution Imaging Near the Well

2️⃣ Wavefield Separation (Upgoing vs Downgoing)

3️⃣ High-Resolution Imaging Near the Well

VSP provides very high vertical resolution, especially:

  • Below the well
  • Around the borehole

Types:

  • Zero-offset VSP → imaging below the well
  • Offset VSP → lateral imaging
  • Walkaway VSP → 2D/3D imaging

📌 Often used where surface seismic is ambiguous.

4️⃣ Checkshot & Velocity Calibration

6️⃣ Anisotropy & Fracture Characterization

3️⃣ High-Resolution Imaging Near the Well

VSP improves:

  • Interval velocity
  • RMS velocity
  • Anisotropy effects (VTI/HTI)

✅ Critical for:

  • Migration accuracy
  • Depth imaging
  • AVO and inversion reliability

5️⃣ Attenuation & Q Estimation

6️⃣ Anisotropy & Fracture Characterization

6️⃣ Anisotropy & Fracture Characterization

Because amplitudes and frequencies are recorded with depth:

  • Frequency decay with depth
  • Amplitude loss

can be analyzed to estimate Q (attenuation factor).

📌 You’ve actually worked on this already with pick-frequency and spectral methods 😉

6️⃣ Anisotropy & Fracture Characterization

6️⃣ Anisotropy & Fracture Characterization

6️⃣ Anisotropy & Fracture Characterization

With:

  • Multi-azimuth VSP
  • Walkaway or 3C-VSP

You can study:

  • Azimuthal velocity variation
  • Shear-wave splitting
  • Directional Q

✅ Used for:

  • Fracture orientation
  • Stress field analysis
  • Reservoir characterization

7️⃣ VSP for Reservoir Monitoring (4D / Time-Lapse)

7️⃣ VSP for Reservoir Monitoring (4D / Time-Lapse)

7️⃣ VSP for Reservoir Monitoring (4D / Time-Lapse)

Repeated VSP surveys allow:

  • Monitoring fluid movement
  • Pressure changes
  • Gas or CO₂ injection effects

📌 Much more sensitive than surface seismic near the reservoir.

8️⃣ Multiple Suppression & Wavefield Understanding

7️⃣ VSP for Reservoir Monitoring (4D / Time-Lapse)

7️⃣ VSP for Reservoir Monitoring (4D / Time-Lapse)

VSP helps to:

  • Identify surface-related multiples
  • Understand converted waves (P–S, S–P)
  • Improve surface seismic processing workflows

Typical VSP Processing Workflow

At a high level, VSP processing has four main stages:

  1. Pre-processing (data conditioning)
  2. Wavefield separation
  3. Imaging & calibration
  4. Advanced analysis (Q, anisotropy, inversion, etc.)

1️⃣ Pre-Processing / Data Conditioning

Geometry Definition

1) Receiver depths definition

2) Source location(s) definition

3) Well deviation definition

4) Coordinate system (MD vs TVD)

📌 Critical: Any error here directly corrupts time-depth and velocity.

Trace Editing & QC

1) Remove dead/noisy levels

2) Spike and saturation removal

3) Consistency check between levels

👉 VSP has few traces but very high value per trace, so manual QC is common.

Amplitude Recovery (Optional but Important)

Apply corrections for:

1) Geometrical spreading corrections

2) Tool coupling corrections

3) Gain normalization

📌 Especially important if You plan to estimate Q and amplitude based interpretation

De-noising

Common noise types:

  • Tube waves
  • Cable noise
  • Rig noise

Typical tools:

  • FK filtering (limited use)
  • Median filtering
  • Depth-domain filtering
  • Tube-wave mute or model-based removal

💡 Unlike surface seismic, depth-domain filters are often more effective.

2️⃣ First Arrival Picking & Time–Depth Calibration

First Break Picking

Pick Downgoing P-wave arrival at each depth Accuracy here is everything.

Checkshot / Time-Depth Curve

From picked first arrivals Compute cumulative travel time vs depth and Derive: 

  • Interval velocity
  • RMS velocity

📌 This is the backbone of VSP value to surface seismic.


 Align downgoing arrivals vertically often done by flattening first breaks Purpose:

  • Makes wavefield separation easier
  • Improves S/N

3️⃣ Wavefield Separation & Deconvolution

Downgoing / Upgoing Separation

In VSP data (especially zero-offset VSP), separating downgoing and upgoing wavefields is a fundamental preprocessing step before corridor stacking, deconvolution, and migration.

Methods:

1) Median filter in depth

Advantages

✔ Very simple
✔ No FFT required
✔ Good for quick QC

Limitations

✖ Window-size dependent
✖ Lower accuracy
✖ Not robust for complex wavefields


2) FK (f-kz) filtering

Advantages

✔ Simple
✔ Fast
✔ Works well when dips are clearly separated

Limitations

✖ Fails if wavefields overlap
✖ Requires regular depth sampling
✖ Sensitive to aliasing


3) Model-based separation like Tau-pi filtering

Advantages

✔ Better separation than FK
✔ Handles multiple dips
✔ More robust for complex data

Limitations

✖ Higher computational cost
✖ Needs regular depth sampling


Outputs:

  • Downgoing wavefield (direct arrivals)
  • Upgoing wavefield (reflections)

📌 Upgoing wavefield ≈ “reflection seismic recorded in the well”

Deconvolution (Often Corridor Decon)

VSP deconvolution is a signal processing step applied to Vertical Seismic Profile (VSP) data to:

  • Compress the source wavelet
  • Improve temporal resolution
  • Remove source signature and reverberations
  • Enhance primary reflections
  • Stabilize amplitude and phase

In VSP, especially zero-offset VSP, downgoing waves contain strong source signature and multiples. Deconvolution helps convert the recorded wavelet into a sharper spike-like response, making interpretation and inversion more reliable. Downgoing waves are used to extract VSP deconvolution operator. This operator is convolved on flattend upgoing waved.

4️⃣ Corridor Stack

What is Corridor Stack?

  •  Stack of upgoing reflections
  • Taken in a time window just after first arrivals
  • Produces a 1D seismic trace at the well

📌 This is the best seismic–well tie trace you can get.


Why Corridor Stack Matters

  • Ties synthetic seismograms
  • Validates seismic polarity
  • Confirms wavelet phase
  • Reduces multiples

👉 Many interpreters trust corridor stack more than surface seismic at the well.

5️⃣ VSP Imaging & Migration

VSP-CDP Transform

VSP-CDP Transform

VSP-CDP Transform

Maps upgoing energy to:

  • Reflection points in the subsurface

Used for:

  • Zero-offset imaging
  • Offset VSP imaging

VSP Migration

VSP-CDP Transform

VSP-CDP Transform

Methods:

  • Kirchhoff migration
  • Wave-equation migration
  • Reverse-time migration (RTM) for VSP

📌 Requires:

  • Accurate velocity model
  • Correct anisotropy

Result:

  • High-resolution image near and below the well

6️⃣ Advanced & Attribute Processing

Q Estimation (Attenuation)

Q Estimation (Attenuation)

Q Estimation (Attenuation)

Using downgoing wavefield:

  • Spectral ratio
  • Pick-frequency
  • Centroid frequency shift

Output:

  • Q vs depth
  • Q anisotropy (multi-azimuth VSP)

Anisotropy & Fractures

Q Estimation (Attenuation)

Q Estimation (Attenuation)

Using:

  • 3C-VSP
  • Multi-azimuth / walkaway VSP

Analyze:

  • Shear-wave splitting
  • Azimuthal velocity
  • Directional attenuation

Multiple Identification

Q Estimation (Attenuation)

Multiple Identification

VSP helps to:

  • Identify surface-related multiples
  • Build multiple models for surface seismic processing

7️⃣ Final Integration with Surface Seismic

Final deliverables:

  • Time-depth table
  • Checkshot velocities
  • Corridor stack
  • Migrated VSP image
  • Q and anisotropy logs

📌 These feed directly into:

  • PSTM / PSDM
  • AVO
  • Inversion
  • Reservoir characterization

Copyright © 2026 Geoscientist Artificial Intelligent - All Rights Reserved.

Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept