South LouisianaTSL-FWI™
Highlander · Duck Lake merge · onshore Gulf CoastThe depth at the next well, before the next well
A follow-on exploration problem: one penetration at Highlander 1, a salt canopy, and an Austin Chalk target at 29,000 ft the legacy image could not resolve. Merging three surveys and inverting the minimally-processed field data, to see how far TSL-FWI™ could correct a conventionally-derived existing model with no additional well information.
- Austin Chalk target
- 29,000 ft
- From Highlander 1 to the blind tie
- 3.3 km
- Target shift, matched at the well
- 650 ft
- Well investment
- $300M
- 01
Data
Three datasets merged, barely pre-processed.
- 02
Model
Macro then high-resolution TSL-FWI to 9.5 km.
- 03
Imaging
Legacy PSDM against RTM on the new model.
- 04
Blind tie
Highlander 2, drilled after the model shipped.
- 05
Prospect
The target surface, remapped.
Near-surface prediction, interleaved with the field
Three datasets shot years apart on different geometries, merged and inverted with almost nothing done to them in between. On land the weathering layer distorts every arrival under it, so the near surface is solved first — get it wrong and nothing deeper is worth updating.
Near surface · shot 1193, interleaved with the field
The prediction is spliced into the field record in strips a few traces wide rather than set beside it, because a side-by-side comparison hides small timing errors and this one cannot: where the model is right the events run straight through the seams, where it is wrong they step at every one.


The wavetrain breaks into stripes at the seams and the far offsets fall away.
Rebuilding the velocity under the salt
RWI recovers the sub-salt macro trend, then a high-resolution TSL-FWI pass resolves stratigraphy inside it. No horizons picked at any point.
Vp in section · inline 177 & crossline 323



A layer-cake gradient. Below 7 km the trend is wrong and nothing separates salt from section.
The same model in plan view
Depth slices at 5 km and at 8.3 km — the Austin Chalk level.


A smooth regional gradient — nothing to map at either level.
What the new model does to the image
In-line, cross-line and two depth slices, on identical displays. Same data, same migration — only the velocity changed.


The image the prospect was carried on. Broken reflectors below the shallow section; both depth slices closer to noise than structure.
The inversion’s own reflectivity · inline 263 & crossline 216
The migration above is not the only image on offer. TSL-FWI solves for density as well as velocity, so it hands back a reflectivity of its own — no migration, no picked velocities, nothing after the inversion. Here it is at 10 Hz and again at 20 Hz: the structure is settled by the first frame and the second fills in the layering, which is what it looks like when the resolution is coming from the data rather than from a migration.


The density contrast the inversion resolved on its own at 10 Hz, displayed as reflectivity. The salt, the decollement and the Austin Chalk are all already there.
The model predicts the recorded shots
Field gathers against the wavefield modelled through the final model. Not a blind test — the well tie below is that — but it is where the model has to explain the recording event by event.
Shot 1044 · one shot, its receiver lines side by side
Each fan is one receiver line, so the apex time rises with the line’s distance from the shot. The last three frames are the same prediction with one reflector left in.





The recording. Eight receiver lines, zero to eight seconds.
TSL-FWI shifted the target 650 ft
The Austin Chalk moves down 650 ft and comes into focus. Highlander 2, drilled afterwards 3.3 km away, matched it. No wells went into the inversion.
Austin Chalk · target interval, 8.0–9.0 km


At Highlander 1 the pick falls in the gap between two events, and at Highlander 2 the chalk sits 650 ft above where the well found it. Between the wells the reflectors wobble and break up.
A purely data-driven velocity correction — free from human bias — that reliably predicts deep structure far from well control.
Four products off one inversion
Everything on this page comes out of one inversion of the merged field data.
Anisotropic TSL-FWI™ velocity
Vp to 9.5 km from the field shots, through the salt to the Austin Chalk. No picked horizons.
RTM on the final model
The operator's own migration, with only the velocity changed.
Like-for-like imaging comparison
Legacy PSDM against the new RTM, on identical displays.
Target surfaces
Austin Chalk and Tuscaloosa remapped on the final volume, before and after.
The prospect, mapped
Everything above lands here: the Tuscaloosa sand, remapped on the TSL-FWI volume.

We can do this on your data
Legacy datasets, minimal pre-processing, no picking — TSL-FWI™ on the field data, back to you in weeks.
South Louisiana. Three legacy onshore datasets merged and inverted together with X-Wave TSL-FWI™ from the field data. Depths are TVDSS; horizon names and picks are the operator's interpretation.