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Seismic Interpretation for Hydrocarbon & Prospect Maturation
Rating: 4.4 out of 5(27 ratings)
151 students

Seismic Interpretation for Hydrocarbon & Prospect Maturation

Geological Interpretation, Reservoir, Prospect, Risk Analysis, Attribute, AVO, DHI for Oil and Gas Exploration
Created byYasir Bashir
Last updated 4/2026
English

What you'll learn

  • Apply industry-standard seismic interpretation workflows to identify and mature hydrocarbon prospects.
  • Analyze exploration risk, probability of success, and basic economic factors to support exploration decisions.
  • Use key geophysical attributes (AVO, DHI, spectral, geometric, and others) for reservoir characterization and prospect evaluation.
  • Understand the fundamental machine learning concepts to seismic interpretation, facies classification, and subsurface analysis with examples.

Explore related topics

Course content

10 sections • 92 lectures • 12h 53m total length

  • Prospects, Its Maturation, and Plays8:56
  • What are the Prospect Stages?7:56
  • Which Prospect to Drill? Prospect Analysis7:30
  • Looking at the Bigger Picture: The Focus of Oil & Gas Industry11:36
  • An Exploration Success : Case Study5:10
  • Exercise # 1 : Define prospect elements9:09

    In the lecture, we will explore the idea of a prospect and identify the elements that must be taken into account. In conjunction with this, Exercise #1 includes a list of 20 prospects, and you are required to make a decision based on the budget at hand.
    Here is your challenge:

    • You have a drilling budget of $400 million.

    • The headquarters has set a goal for you to discover 500 million barrels of oil.

    • You want to keep the cost per barrel as low as possible (< $1.00/barrel).

  • Exercise # 2 : Estimating trap volumes14:30

    This lecture begins with a discussion of the trap type and its formation process. Subsequently, determine an initial estimate of the oil volume that may be held within the Alpha and Beta prospects by applying various advanced reservoir volume equations along with typical rock and fluid properties.

    1. Gross Rock Volume

    2. Reservoir Volume

    3. Pore Volume

    4. In-Place Volume

    5. In-Place – Barrels

    6. Expected Ultimate Recovery (EUR) – Unrisked

    7. Expected Ultimate Recovery (EUR) – Risked

  • Exercise # 3 : Hydrocarbon Type6:51
  • Exercise # 4 : Assessment Deterministic & Probabilistic6:57
  • Exercise # 5 : Risk (POS or COS) | How Confident Are We?5:29
  • Final Results : a) Analysis on Alpha & Beta Prospect7:17
  • Multiple Prospects and portfolios: In case of more than one Prospect in Field16:57
  • Assignment : Submission of Exercise # 2
  • Quiz 1: Evaluate Yourself

Requirements

  • Basic familiarity with geology, geophysics, or seismic data concepts is helpful but not mandatory.
  • No prerequisite courses are needed; concepts are explained from fundamentals to advanced applications.
  • A laptop or PC with internet access is required to follow the course and download materials.
  • The data and software will be provided with to Hand-on experience.
  • No prior experience in machine learning or programming is required.

Description

This course provides a practical and industry-focused introduction to seismic interpretation and hydrocarbon prospect maturation, combining classical and advanced Interpretational techniques. We provide the software and data for learners to practice together with the instructor. It is designed to help learners develop the technical skills required to interpret seismic data, evaluate hydrocarbon prospects, and support exploration decisions in real-world workflows.

The objective of the course is to make students capable of understanding the complete seismic interpretation workflow, including the identification of structural and stratigraphic traps, reservoir characterization, and prospect evaluation. The course covers essential seismic attributes such as Amplitude Variation with Offset (AVO), Direct Hydrocarbon Indicators (DHIs), spectral decomposition, and geometric attributes, etc., enabling you to analyze subsurface features and reduce exploration uncertainty.

Another component of the course is machine learning in geoscience with examples. You will explore how machine learning techniques can be applied to seismic facies classification, pattern recognition, and predictive analysis, enhancing interpretation accuracy.

By the end of this course, you will be able to:

  • Interpret seismic data using industry-standard workflows together with software experience.

  • Apply seismic attributes to identify reservoirs and hydrocarbon indicators.

  • Integrate machine learning concepts from examples into seismic interpretation.

  • Evaluate hydrocarbon prospects and support exploration decision-making.

  • Strengthen your technical profile for careers in geophysics and energy-related fields.

This course is ideal for professionals and students who want to bridge the gap between geophysics & geology into practical exploration applications, and who aim to develop skills relevant to the modern energy industry.

Who this course is for:

  • Geoscience learners seeking practical skills in seismic interpretation and prospect evaluation.
  • Early-career geophysicists and geologists working in exploration or subsurface analysis.
  • Exploration professionals interested in integrating machine learning into interpretation workflows.
  • Researchers and academics looking to apply seismic attributes in real-world case studies.
  • Engineers and data professionals entering the geoscience domain.

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