Advanced Seismic Interpretation and Exploration Technologies Training Course

Interpret seismic data with advanced attributes, 3D visualization, and machine-learning methods to reduce exploration risk and sharpen reservoir prediction.

30 dates in 14 cities · Oct 2026 – Jun 2027

London

Fees: 5900
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Brussels

Fees: 5900
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Istanbul

Fees: 4700
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Cairo

Fees: 4700
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Amsterdam

Fees: 5900
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Madrid

Fees: 5900
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Brussels

Fees: 5900
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Amsterdam

Fees: 5900
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Istanbul

Fees: 4700
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Course overview

Seismic data sits at the heart of nearly every exploration and appraisal decision, yet the gap between a clean amplitude display and a confident geological interpretation is wide. This course works through that gap. It looks at how experienced interpreters move from raw reflections to structural and stratigraphic understanding, and how modern attribute and inversion methods add quantitative weight to what was once a largely visual craft.

The emphasis is on judgment as much as technique. Attributes can mislead as easily as they inform, and machine-learning classifiers are only as good as the well control behind them. Participants examine where each method earns its keep, where uncertainty creeps in, and how to communicate a seismic interpretation so that drilling and reservoir teams can act on it with a clear view of the risks involved.

Why this matters in today's energy sector

Exploration budgets are tighter and prospects are subtler than they were a generation ago. Bright-spot chasing has given way to careful quantitative work, where seismic amplitude, phase, and frequency attributes are tested against rock-physics expectations before anyone commits to a well. Teams are expected to defend a prospect with amplitude-versus-offset reasoning, calibrated well ties, and an honest error bar on depth.

At the same time, machine learning has moved from novelty to routine in fault and facies classification, and interpreters who understand both the geophysics and the statistics are in short supply. The methods here connect directly to downstream work such as petroleum reservoir characterization and modeling, where a well-founded seismic framework becomes the skeleton of a static model.

What you will be able to do afterwards

By the close of the course, participants should be able to:

  • Build structural and stratigraphic 3D seismic interpretations.
  • Select and apply attributes such as coherence and curvature.
  • Run AVO analysis to relate amplitude to fluid and lithology.
  • Tie wells to seismic and quality-check the synthetic match.
  • Convert time interpretations to depth using velocity models.
  • Assess velocity-model limits on depth-conversion accuracy.
  • Judge when machine-learning fault and facies classification adds value.
  • Communicate interpretation uncertainty to drilling and reservoir teams.

Course outline

Unit 1: Advanced seismic interpretation concepts

  • Structural and stratigraphic interpretation of 3D volumes.
  • Well-tie workflows and wavelet estimation choices.
  • Time-to-depth conversion and migration errors.
  • Acquisition and processing footprints in seismic.

Unit 2: Seismic attributes and analysis

  • Amplitude, phase and frequency attributes.
  • AVO analysis and intercept-gradient interpretation.
  • Spectral decomposition for thin-bed detection.
  • Coherence and curvature attributes for fault mapping.

Unit 3: 3D seismic visualization and modeling

  • 3D visualization of geobodies and fault networks.
  • Acoustic and elastic inversion for impedance products.
  • Static reservoir models from inverted volumes.
  • Depth-uncertainty checks on interpreted surfaces.

Unit 4: Machine learning and emerging technologies

  • Supervised and unsupervised fault-facies classification.
  • Feature selection and unrepresentative-data risk.
  • Automated horizon and fault tracking with human review.
  • Rock-physics and well-control checks on machine outputs.

Unit 5: Risk management and the future of seismic exploration

  • Quantifying amplitude-depth uncertainty across a prospect.
  • Linking attributes and inversion to chance-of-success.
  • Reviewing a case where attribute analysis shaped drilling.
  • Tracking acquisition and imaging trends.

How the course is delivered

Sessions are led by experienced interpreters and built around expert-led discussion, worked examples, and documented case studies from real basins. Participants follow guided walkthroughs of interpreted seismic datasets and static models, then work through group exercises that surface the judgment calls behind each pick. The intent is to show how decisions are reasoned, not just what the final map looks like.

Who should attend

The course suits geoscientists and technical staff who work with seismic data and want to sharpen their quantitative interpretation skills.

  • Seismic interpreters and exploration geophysicists.
  • Exploration and development geologists moving into attribute-based work.
  • Petrophysicists and reservoir geoscientists who consume seismic products.
  • Technical leads and new team members who review or approve interpretations.

About EuroQuest International Training

EuroQuest International Training was founded in 2015 and has since delivered over 1,000 courses to more than 15,000 participants. The organization is headquartered in Bratislava, Slovakia, and runs training hubs in Dubai, London, Barcelona, Istanbul, Vienna, Paris, and Geneva, bringing technical instruction to professionals across the energy and geoscience sectors.

Frequently asked questions

Does the course include live software or laboratory sessions?

No. This is a discussion and case-study based course. Instead of live software operation, participants review interpreted datasets, inversion products, and worked examples together, so the focus stays on the reasoning behind attribute selection and interpretation rather than on the mechanics of any single vendor package.

Do I need a strong geophysics background to follow along?

A working familiarity with seismic data helps, but the course rebuilds the key concepts as it goes. Interpreters, geologists, and petrophysicists with some exposure to seismic products will be able to follow the material comfortably.

Will the machine-learning content assume I can code?

No coding is required. The machine-learning sessions concentrate on how fault and facies classifiers behave, what they need for training, and how to judge their output, so the value comes through even without a programming background.

Related courses

Register for this course

To reserve a place or ask about scheduling and group bookings, contact the EuroQuest International Training team and register your interest in this seismic interpretation course. We will be glad to help you plan attendance and answer any questions before you enroll.

All Course Dates & Locations

30 dates · 14 cities · Oct 2026 – Jun 2027

September - 2026
October - 2026
November - 2026
December - 2026
January - 2027
February - 2027
March - 2027
April - 2027
May - 2027
June - 2027
July - 2027
August - 2027
Amsterdam
Barcelona
Brussels
Cairo
Dubai
Geneva
Istanbul
Jakarta
London
Madrid
Manama
Paris
Vienna
Zurich
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London

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Brussels

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Istanbul

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Cairo

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Amsterdam

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Madrid

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Brussels

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Amsterdam

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Istanbul

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Paris

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London

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Dubai

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Manama

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Zurich

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London

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Amsterdam

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Vienna

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Cairo

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Barcelona

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Paris

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Amsterdam

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Geneva

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Brussels

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Manama

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London

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Vienna

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Paris

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Dubai

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Cairo

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