Quantitative Interpretation - Towards Integrated Predictive Sub-Surface Models

24–26 August 2021 | Virtual


24–26 August 2021

This workshop will provide a fantastic opportunity to join a discussion about Quantitative Interpretation (QI). The conversation will address where QI has been successful and clearly added value; where QI has struggled to bring solutions and why; novel techniques and possibilities for overcoming these problems; and where QI is headed. The workshop aims to examine the increasing role of rock physics combined with inversion and interpretation as a platform for the integration of a broad range of data and information to produce more reliable predictive subsurface models with an increased understanding of uncertainties and risks.

We encourage anyone involved in subsurface data integration to join the conversation: seismic processers, petrophysicists, rock physicists, geologists, geophysicists, geomechanicists and reservoir engineers. Abstracts for oral or poster presentations are invited and although all submissions will be considered, the following broad areas for presentation and discussion have been identified:

  • Input Data Processing & Conditioning
  • Rock Physics
  • Inversion
  • Interpretation
  • Integration
  • Case Studies – Challenges Faced, Lesson Learned & Success Stories
  • “Non-traditional” Applications, e.g. Rank Exploration, Land, CCS & Unconventionals
  • Machine Learning

Organizing Committee

  • Committee Co-Chair – Mark Sams, PETRONAS
  • Committee Co-Chair – Rosemary Quinn, Hess

Committee Members

  • Alessandro Mannini, Beach Energy
  • Cyrille Reiser, PGS
  • Hilfan Khairy, PERTAMINA
  • Jimmy Ting, CGG
  • Jonathan Scorer, ConocoPhillips
  • Kester Waters, Ikon Science Ltd
  • Laurent Bourdon, PETRONAS
  • Maman Hermana, Universiti Teknologi PETRONAS
  • Peter Mcgillivray, Mubadala Petroleum
  • Rob Ross, Qeye
  • Sagar Ronghe, DUG


Suba Jaganathan
SEG Asia Pacific
Telephone: +6014 323 8107
Email: [email protected]


Who should attend?

We encourage anyone involved in subsurface data integration to join the conversation: seismic processers, petrophysicists, rock physicists, geologists, geophysicists, geomechanicists and reservoir engineers.

Registration Fees

Super Early Bird Registration Fee (must be registered and paid prior to 30 June 2021):

  • Member [US$375]
  • Non Member [US$450]

Early Bird Registration Fee (must be registered and paid prior to 30 July 2021):

  • Member [US$475]
  • Non Member [US$550]

Full Registration Fee:

  • Member [US$575]
  • Non Member [US$650]

Student Registration Fee:

  • Member [US$75]
  • Non Member [US$100]

Workshop format

The workshop will include not only general submissions but also will feature presentations by invited key experts in their field and share their experiences. The workshop will serve as a unique opportunity to have open and extended discussions among the participants.

The workshop consists of 11 sessions in the span of 3 days. We will aim for one keynote speaker per day with closing session at the end of the workshop to serve as outlook going forward. The Oral presentations are made up of twenty minutes talk followed by five minutes of Q&A. After each session 30 minutes discussion session will be planned. The objective of this session is to allow participants to discuss in details and learn from each what has worked for them and debate on issues and challenges facing them during their daily workflows. Session chairs will also serve as discussion leaders during the 30 minutes.

Poster Presentations are also welcome to give ample time to the delegates to discuss the poster topic with the author(s). Posters will be in displayed in the workshop room.          

Technical Program


  • Pat Connolly, PCA - The Signal and the Noise
  • Dries Gislof, Delft-Inversion - Scale Considerations in Seismic Quantitative Interpretation
  • Nizar Chemingui, PGS - Estimating the Full-Bandwidth Earth Model with Simultaneous Inversion of Velocity and Reflectivity
  • Norbert vd Coevering, Oxy Oman - Examples of Seismic Technology Integration into Subsurface Models to reduce risk
  • David Goudling, Sharp Reflections Ltd - Utilising Facies-Based Inversion as a QC Tool for Post-Migration Gather Conditioning
  • Boris Gurevich, Curtin University - Monitoring Changes of Subsurface Properties using Direct-Wave Amplitudes Measured by Downhole Distributed Acoustic Sensors


  • James Gunning, CSIRO - Joint Facies/Elastic Inversion: optimisation as a key tool for inference and uncertainty
  • Ask Frode Jakobsen, Qeye - Depth Trends in Facies Classification using Direct Probabilistic Inversion
  • Roman Beloborodov, CSIRO - Automated facies classification for seismic
  • Pauline Wong, Mubadala - Model versus Facies based inversion approach in a carbonate pinnacle
  • Arthur Cheng, National University of Singapore - A multi-objective approach for quantitative interpretation for anisotropic shale models
  • Ahmed Shafik, National University of Singapore - Anisotropic Amplitude versus-Offset Inversion via Variational Inference
  • Dennis Cooke, ZDAC Geophysical Technologies Pty. Ltd. - Wide -angle AVO inversion of common p-traces: AVP                                                            


  • Per Avseth, DIG Geoscience - Quantitative seismic interpretation guided by multi-scenario rock physics and AVO feasibility modeling
  • Sagar, Downunder Geosolutions - Iterative update of absolute simultaneous inversion for optimal lithology prediction
  • John Pendrel, CGG - Secrets of Facies- Inversion Workflows
  • Ehsan Naeini, Earth Science Analytics AS - Quantifying Uncertainty in Machine Learning for Geophysical Applications
  • Raghu Chunduru, Shell - Integrated Seismic Based Reservoir Porosity Prediction using Deep Learning Method
  • Shuichi Desaki, INPEX Corporation - Seismic Inversion Method using Convolutional Neural Network: A Case Study from the Abadi Field
  • Stephan Gelinsky, Shell International E & P - Quantitative Interpretation in Support of the Energy Transition

Sponsorship Opportunities

To maximize exposure and visibility for our partners, we offer an array of unique sponsorship opportunities designed to suit a range of budgets with specific target audiences for optimum return on investment. For a list of sponsorship opportunities and an application form for sponsorship, email [email protected]

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