Vertical Seismic Profiling (VSP) is a seismic measurement technique where:
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.
Because receivers are downhole:
That makes VSP a bridge between well data and surface seismic.
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
This is the classic use.
✅ Essential for:
Because data is recorded at depth:
can be cleanly separated.
✅ Enables:
VSP provides very high vertical resolution, especially:
Types:
📌 Often used where surface seismic is ambiguous.
VSP improves:
✅ Critical for:
Because amplitudes and frequencies are recorded with depth:
can be analyzed to estimate Q (attenuation factor).
📌 You’ve actually worked on this already with pick-frequency and spectral methods 😉
With:
You can study:
✅ Used for:
Repeated VSP surveys allow:
📌 Much more sensitive than surface seismic near the reservoir.
VSP helps to:
At a high level, VSP processing has four main stages:
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.
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.
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
Common noise types:
Typical tools:
💡 Unlike surface seismic, depth-domain filters are often more effective.

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

From picked first arrivals Compute cumulative travel time vs depth and Derive:
📌 This is the backbone of VSP value to surface seismic.
Align downgoing arrivals vertically often done by flattening first breaks Purpose:

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
✔ Very simple
✔ No FFT required
✔ Good for quick QC
✖ Window-size dependent
✖ Lower accuracy
✖ Not robust for complex wavefields
2) FK (f-kz) filtering
✔ Simple
✔ Fast
✔ Works well when dips are clearly separated
✖ Fails if wavefields overlap
✖ Requires regular depth sampling
✖ Sensitive to aliasing
3) Model-based separation like Tau-pi filtering
✔ Better separation than FK
✔ Handles multiple dips
✔ More robust for complex data
✖ Higher computational cost
✖ Needs regular depth sampling
Outputs:
📌 Upgoing wavefield ≈ “reflection seismic recorded in the well”

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

📌 This is the best seismic–well tie trace you can get.
Why Corridor Stack Matters
👉 Many interpreters trust corridor stack more than surface seismic at the well.
Maps upgoing energy to:
Used for:
Methods:
📌 Requires:
Result:
Using downgoing wavefield:
Output:
Using:
Analyze:
VSP helps to:
📌 These feed directly into:
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