Consultancy

Seismic interpretation & well-log correlation

Seismic interpretation and well-log correlation to build robust structural and stratigraphic frameworks.

Seismic interpretation & well-log correlation

We support seismic interpretation and well-log correlation, helping you build robust structural and stratigraphic frameworks from subsurface data.

From mapping key horizons and faults to reconciling wells with seismic and constraining structural models, we turn subsurface datasets into interpretations you can defend.

What we can advise on

  • Structural and stratigraphic seismic interpretation — horizons, faults and salt
  • Well-log correlation and well-to-seismic ties
  • Building internally consistent structural frameworks and maps
  • Interpretation in structurally complex settings — salt, fold-and-thrust belts and inverted rifts
  • Using seismic attributes to support interpretation
  • Quality-checking and de-risking existing interpretations

Working with us

Research-led and industry-tested

Our advice is grounded in peer-reviewed research and in real industry experience, including years interpreting subsurface data in the hydrocarbon sector.

From outcrop to subsurface

We combine fieldwork, subsurface interpretation and a research background spanning salt tectonics, structural geology and geo-energy — a rare, joined-up perspective across scales.

Independent and objective

As an outside team, we bring a fresh, unbiased view that complements your own, and we say what we see.

Clear, decision-ready outputs

You receive concise, well-documented deliverables you can act on, not just a report that sits on a shelf.

Independent review & second opinions

Sometimes the most valuable input is a fresh, independent perspective on work already done. We're glad to review your interpretations, models and cross-sections and offer a considered second opinion — one that either reinforces confidence in your current approach or gently surfaces alternative interpretations, uncertainties and pitfalls worth weighing.

We see this as a collaborative sense-check rather than a critique: our aim is to help your team de-risk decisions and strengthen the story your data tells.