Tutor(s)
Patrick Connolly: Director, Patrick Connolly Associates; Visiting Lecturer, University of Leeds, UK.
Overview
This course will provide participants with the skills needed to design and implement workflows for seismic reservoir characterization using established best-practice and emerging technology. The course covers seismic conditioning, colored inversion, AVO theory including elastic and extended elastic impedance, DHIs, seismic net pay, well ties, rock physics and deterministic and probabilistic inversion, including the application ODiSI.
Duration and Logistics
A 4-day classroom course comprising a mix of lectures with examples (70%) and laptop-based exercises and discussion (30%). The manual will be provided in digital format and participants will be required to bring a laptop or tablet computer to follow the lectures and exercises.
Level and Audience
Advanced. Intended for practicing seismic interpreters. Participants should have a basic knowledge of the seismic method, including acquisition and processing, with a minimum of three years working with seismic data. However, the subject matter of this course, AVO and inversion, is covered from basic principles.
Objectives
You will learn to:
- Appreciate the benefits of colored inversion – how and why it works and how to get the best results from a colored inversion application.
- Understand the relationships between reflectivity and impedance, and between time and frequency.
- Understand the model for AVO measurements and the difficulties in making accurate AVO measurements.
- Understand the concepts behind AVO analysis, including intercept-gradient crossplots and the theoretical relationship between elastic and AVO properties.
- Optimize AVO products for subsequent characterization work and create seismic products that correlate with specific reservoir properties.
- Appreciate the risks of using attributes with no physical relationship with the desired objective.
- Appreciate the limitations of the seismic net pay method and to know when it is, and is not, applicable.
- Understand the principles and pros and cons of deterministic and probabilistic inversion and how to select the appropriate inversion strategy for any given problem.
