The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
Industry and client recognition
Best Outreach Program Finalist: WorldOil Awards
Overall Customer Satisfaction Score
Training provider of the year: 2013, 14 and 15
Digital Technology Courses Understand the impact of digital technologies on E&P business and industry
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
Depth conversion (domain conversion) of seismic time interpretations and data is a basic skill set for interpreters. However, there is no single methodology that is optimal for all cases since the available seismic and geologic control varies in quantity and quality within each project. To design an effective approach to depth conversion, the first part of this course prioritizes understanding the nature of velocity fields and practical approaches to velocity representation. Next, appropriate depth-conversion methods are presented in case history and exercise form. Single-layer and more sophisticated multi-layer approaches are reviewed, along with depth-error analysis and the impact on formation top prognoses and volumetrics.
Depth conversion must also embrace the process of database validation. Poorly positioned wells, miscorrelated horizons, and inconsistent formation tops can introduce distortions in the implied velocity field and result in false structuring. Database validation is addressed via the formation of synthetic seismograms to confirm horizons correlation and the formation of basic Seismic Time vs. Formation Top QCs.
Prestack depth migration is now commonplace, and there is always the need to calibrate the depth volumes with well control. The basic QCs and methods used for depth conversion will also be applied to validating the ties between the formation tops and the surfaces used for calibration. This is particularly important during anisotropic depth migration where inconsistencies between well control and the seismic interpretation impact the estimation of anisotropic parameters, resulting in a compromised depth image.
This course emphasizes the formation of velocity models consistent with the well control. This is in context to creating Petrel Models suitable for reservoir simulation employing depth-calibrated inversion and other attribute cubes precisely integrated with the well information.
Module 1: Overview of Depth Conversion
* Learning Objectives and Importance:
* Topics:
* Exercises: Discussions on student goals and experiences with time-to-depth conversion
Module 2: Sources of Velocity
* Learning Objectives and Importance:
* Topics:
* Exercises: Analysis of various velocity data types
Module 3: Defining Velocity Types
* Learning Objectives and Importance:
* Topics:
* Exercises: Various problems on relating velocity types and conversions. Petrel exercises.
Module 4A: Functional Representation of Velocities
* Learning Objectives and Importance:
* Topics:
* Exercises: Various problems defining velocity fields in various domains
Day 2Module 4B: Gridded Representation of Velocities
* Learning Objectives and Importance:
* Topics:
* Exercises: Import SEG Y velocities to Petrel and forming a gridded model
Module 5: Well and Seismic Data Integration
* Learning Objectives and Importance:
* Topics:
* Exercises: Problem sets and interactive work sessions
Day 3Module 6: Vertical Time-to-Depth Conversion (Single Layer)
* Learning Objectives and Importance:
* Topics:
* Exercises: Problem sets and interactive work sessions
Module 7: Vertical Time-to-Depth Conversion (Multi-Layer)
* Learning Objectives and Importance:
* Topics:
* Exercises: Problem sets and interactive work sessions
Day 4Module 8: Well/Seismic Database Validation
* Learning Objectives and Importance:
* Topics:
* Exercises: Extensive exercises on detecting and correcting errors and inconsistencies in the database
Module 9: Petrel Models and Uncertainty Analysis
* Learning Objectives and Importance:
* Topics:
* Exercises: Various Petrel exercises
Module 10: Pitfalls of Vertical Depth Conversion
* Learning Objectives and Importance:
* Topics:
* Exercises: Problem sets and interactive work sessions
Day 5Module 11: Anisotropy and Depth Migration
* Learning Objectives and Importance:
* Topics:
* Exercises: Discuss impact of anisotropy on depth conversion and imaging
Module 12: Calibration of Depth Migration with Wells
* Learning Objectives and Importance:
* Topics:
* Exercises: Various Petrel calibration exercises
This course is of importance to geoscientists involved in seismic interpretation and subsequent time-to-depth conversion. The course is also oriented towards persons performing well calibration of depth migration data and other attributes prior to reservoir modeling.
Attendees will gain an understanding of depth conversion methodologies, QCs for validating the methods employed, and tools for quantitative error estimation. They will also learn how to:
Petrel Fundamentals and Petrel Geophysics courses.
Customize your own learning journey and track your progress when you start using a defined learning path.