D385 Workflows for Seismic Reservoir Characterisation

Event Facts

  • 14 Jun. 2021
  • 15 Jun. 2021
  • 16 Jun. 2021
  • 17 Jun. 2021
  • 18 Jun. 2021
  • 21 Jun. 2021
  • 22 Jun. 2021
  • 23 Jun. 2021
  • 24 Jun. 2021
  • 25 Jun. 2021
Half-day sessions, starting in the mornings for the Americas and afternoons for Europe, Africa and Middle East. Any variation to this will be communicated in advance.
Event Code:
10 sessions
Patrick Connolly
Booking Status:
Good Availability
GBP £3,735 (Exclusive of tax)

Course Facts

Course Code:
5 days
Virtual Classroom
4 Continuing Education Units
40 Professional Development Hours
Certificate Issued Upon Completion


Business Impact: Application of the learnings of this course will empower participants to better delineate reservoir and pay distribution, which is of particular use during reservoir appraisal, development and production.

This course provides participants with the skills to design and execute workflows to achieve optimal seismic reservoir characterisation results. The course addresses seismic conditioning to enhance the data and seismic inversion to make quantitive estimates of reservoir properties. Coloured inversion and a comprehensive review of AVO methods including extended elastic impedance are also covered. Furthermore, the course provides a review of seismic inversion methods, including both conventional deterministic methods and the latest Bayesian probabilistic approaches.

Duration and Training Method

A virtual classroom course divided into10 webinar sessions over a two-week period (equivalent to a five-day classroom course), comprising lectures, discussion, case studies, and practical exercises to be completed by participants during and between sessions.

Participants will learn to:
  1. Construct coherent workflows to estimate reservoir properties and associated uncertainties by integrating seismic data with other data types.
  2. Apply seismic conditioning methods to maximise bandwidth and optimise correlation with reservoir properties.
  3. Analyse relationships between reservoir and elastic properties to determine what may be estimated from seismic data.
  4. Select the appropriate inversion algorithm for any given situation.
  5. Appreciate the importance of uncertainty quantification in seismic reservoir characterisation.
  6. Select appropriate methods to achieve the objectives based on an assessment of data quality and an analysis of rock properties and reservoir geometry.
1. Introduction
  • Overview and objectives

2. Coloured Inversion

  • Geological studies on bed thickness distributions
  • Frequency domain implications
  • Coloured inversion and blueing

3. Wavelets

  • Optimising wavelets
  • Spectral estimation
  • Wavelet transforms
  • Structurally conformable filtering
  • Well ties and wavelet estimation
  • Mechanisms of frequency loss

4. AVO Measurements

  • Zoeppritz equations and linearisations
  • Controls on AVO response
  • Measuring AVO
  • Data conditioning
  • Measurement errors
  • Anisotropy

5. AVO Crossplots

  • Intercept-gradient crossplots
  • Background trends
  • AVO classes
  • Fluid substitution and AVO
  • The structure of intercept-gradient crossplots
  • Coordinate rotations
  • Elastic property reflectivity vectors

6. AVO Well Analysis

  • Elastic & extended elastic impedance (EI & EEI)
  • AIGI crossplots
  • Well ties with angle stacks
  • Choosing chi angles from well-log data

7. AVO Seismic Analysis

  • Choosing chi angles from seismic data
  • Rock-physics modelling
  • DHIs
  • Bayes theorem & exploration risking

8. Attribute Maps

  • Multi-attribute methods
  • Reflectivity and impedance tuning
  • Detuning & Seismic net pay
  • Uncertainties & limitations
  • Map calibration

9. Inversion Principles

  • Sources of inversion uncertainty
  • Bayesian framework for facies probabilities
  • Inversion algorithms

10. Facies Probabilities

  • Monte Carlo rejection sampling
  • Seismic information content
  • Inversion classification
  • Principles and application of ODiSI

11. Review

Who should attend

This course is designed for geoscientists experienced in working with seismic data and who wish to create coherent workflows to achieve specific quantitative objectives.

Prerequisites and linking courses

Participants need a working knowledge of seismic data processing and interpretation, wire-line logging and reservoir geology. Courses N085 (Introduction to Seismic Interpretation) and N004 (Rock Physics and Seismic Amplitude Interpretation) cover some of the required background.

Patrick Connolly

Patrick Connolly is a consultant geophysicist specializing in seismic reservoir characterization. He retired from BP in 2015 as Senior Advisor for Geophysical Analysis. He now runs his own company providing training courses and consultancy and is a visiting lecturer at the University of Leeds, UK.

Patrick began his career as a data processor and then programmer before a move into analysis and interpretation in exploration and appraisal teams in offshore West Africa, Gulf-of-Mexico and the North Sea / West of Shetlands. It was here that he developed the elastic impedance concept for which he later received the SEG Virgil Kauffman Gold Medal. He was also a co-developer of Extended Elastic Impedance now widely used throughout the industry. During the latter part of his career Patrick spent time in technology management and R&D project leadership where he developed the seismic net pay method and the probabilistic inversion application ODiSI. 

Patrick served as a EAGE distinguished lecturer in 2007 and 2018 and a SEG Distinguished Lecturer in 2010. His presentation Probabilistic Seismic Inversion Using Pseudo-wells was awarded Best Paper Presented at the 2017 SEG Annual Meeting.

Affiliations and Accreditation
BSc University of Birmingham - Physics
SEG – Member
EAGE - Member

Courses Taught
N385: Workflows for Seismic Reservoir Characterisation
N392: Methods for Seismic Reservoir Characterisation

Alternative Dates for this Course

Related Subjects

"Pat was excellent - in my top instructors of all time. I was excited to attend class each day and appreciated his enthusiasm and sense of humour. Best and most useful class exercises."