Refraction & tomographic statics

Part 2 — Pre-Processing Foundations

Learning objectives

  • Explain what a static is and why the weathered near-surface layer causes them
  • Describe the refraction-statics workflow: first-break picking → weathered model → per-station delay → trace shift
  • Distinguish short-wavelength and long-wavelength statics and which tool addresses each
  • Recognize the signature of uncorrected statics on a stacked section (smeared or split reflectors)

A static is a fixed time shift applied to a trace to compensate for travel-time distortions that depend on surface location rather than subsurface structure. They come from the weathered near-surface layer — that top tens of meters of sand, soil, and broken rock sitting on top of the consolidated bedrock. The weathered layer has low velocity (~500–1500 m/s) and variable thickness, so the time a ray spends crossing it varies from shot to shot and receiver to receiver.

1. Why the weathered layer wreaks havoc

Imagine a reflection at 1.5 s arriving at two neighbouring receivers. If under receiver A the weathered layer is 15 m thick and under receiver B it is 25 m thick, trace A’s reflection arrives ~25 ms earlier than trace B’s, purely because of the near-surface. That 25 ms offset is a static. When you stack CMP gathers, statics that vary within the gather smear reflections. Statics that vary between bins smear the whole section.

The widget below shows a shot gather above an irregular weathered layer. Slide the statics standard deviation up — the first-break line develops wobble and the deeper reflection bumps up and down. The right-hand panel shows what happens after the statics have been picked and subtracted: smooth first break, flat reflection.

Statics DemoInteractive figure — enable JavaScript to interact.

2. The refraction-statics workflow

  • Pick first breaks on every trace. The first-arriving energy is the refracted head wave through the consolidated refractor (v_r ≈ 2500–4500 m/s).
  • Fit a slope t(x) = x / v_r + intercept to the first-break travel times.
  • Residual per trace = observed first-break minus fitted straight line. This residual is the sum of shot static + receiver static + any refractor dip.
  • Decompose residuals into per-shot and per-receiver contributions (surface-consistent decomposition, see §2.4).
  • Apply corrections: shift every trace in a shot record by its shot static, and then by its receiver static. The reflection hyperbolas become smooth.

3. Two pieces of math to know

Weathered-layer traveltime: a ray travelling through a weathered layer of thickness h and velocity vw spends time 2h / vw (two-way). For h = 20 m, vw = 800 m/s, that’s 50 ms. Wobble in h directly becomes wobble in your seismic.

Intercept-time refraction: for a flat refractor at depth z under a uniform weathered layer, the first-break time is

t(x)=xvr+2zcosθcvwt(x) = \frac{x}{v_r} + \frac{2z\cos\theta_c}{v_w}

where θc = asin(vw/vr) is the critical angle. The intercept 2z cosθc / vw is the static you need to remove.

4. Short-wavelength vs long-wavelength statics

When you decompose per-trace residuals into per-shot and per-receiver components, you typically see TWO scales of variation:

  • Short-wavelength statics: trace-to-trace variations at the same spatial scale as the receiver spacing. Caused by the very shallowest (loose sand, surface conditions). These are cleanly addressed by refraction statics.
  • Long-wavelength statics: slow variations over hundreds of meters. Caused by deep topography of the weathered-bedrock interface. Refraction statics do NOT recover these well — they leak into velocity and structural anomalies. Long-wavelength statics need tomographic statics or iterative refinement with velocity analysis.

5. Tomographic statics

Refraction statics assume a single refractor. When the near-surface is more complex — multiple low-velocity layers, karst, talus, buried river channels — you need tomographic statics: invert the first-break times for a full 2D or 3D near-surface velocity model, then compute theoretical travel times through it. The inversion is linear-algebra-heavy (§0.7 and §0.9), regularized for smoothness.

Tomographic statics are standard on land data in complex terrain (foothills, desert edges, glacial plains). They require hundreds of thousands of first-break picks — usually automated with hand-edits.

6. What uncorrected statics look like

  • Pre-stack: first breaks wiggle trace-to-trace; reflection hyperbolae are lumpy.
  • Stacked: amplitude loss where statics were random, or split reflections (same reflector appears twice) where statics jumped at a boundary. Long-wavelength statics look like structural undulations — fake highs and lows that are really just weathered-layer topography.
  • Downstream velocity picks: wrong. Residual statics contaminate velocity analysis, which contaminates imaging.

7. Order of operations

Statics are typically applied before deconvolution and noise attenuation, and they are iteratively refined: first-pass refraction statics → preliminary velocity → residual statics (§2.4) → re-pick velocity → re-pick residual statics. Two or three passes is normal; land data with rough topography may need more.

**The one sentence to remember**

Statics are fixed per-station time shifts from the weathered near-surface; refraction statics estimate them from first breaks, tomographic statics from a full near-surface model, and without either, reflectors smear.

Where this goes next

Section §2.4 covers residual statics — the final refinement after refraction statics and preliminary velocity picks. It uses cross-correlation across a gather to tease out the remaining small shifts, and introduces the surface-consistent decomposition that underpins statics, deconvolution, and amplitude work alike.

References

  • Yilmaz, Ö. (2001). Seismic Data Analysis (2 vols.). SEG.
  • Sheriff, R. E., Geldart, L. P. (1995). Exploration Seismology (2nd ed.). Cambridge UP.
  • Claerbout, J. F. (1976). Fundamentals of Geophysical Data Processing. McGraw-Hill.
  • Tarantola, A. (1984). Inversion of seismic reflection data in the acoustic approximation. Geophysics, 49, 1259.

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