Advances in Quantitative Interpretation

About

29–30 October 2024
Kuala Lumpur, Malaysia

Workshop Overview

This workshop will provide an opportunity to immerse in discussions and stay updated on the advances in Quantitative Interpretation (QI) for the O&G as well as the wider energy industry. The workshop aims to become the hub for sharing recent experiences on applications of new and emerging QI technologies such as physics-guided machine learning for reservoir characterization; advanced geostatistical inversion to generate more reliable and predictive subsurface models; integration of rock physics in QI workflow to better understand the reservoir challenges and improve QI properties predictions, hence maximizing exploration and development drilling success; and not to forget, innovative applications of basic but useful QI tools such as AVO attributes and EEI.

Co-Chairs

  • Amri Amdan, PETRONAS
  • Jimmy Ting, Geosoftware

Committee Members

  • Adi Widyantoro, Pertamina
  • Agus Setiana, Ikon Science
  • Aini Ashiqin Mohd Mokhdar, ExxonMobil
  • Chanel DePledge, Woodside
  • Cyrille Reiser, PGS
  • Dave Goulding, Sharp Reflections
  • Elaine Ching, SLB
  • Eric Tioe, Hibiscus Petroleum
  • Fariz Fahmi, PTTEP, KL
  • Hilfan Khairy, Pertamina
  • John Coffin, Delft Inversion
  • Joseph Ma, Halliburton
  • Kok Yip Cheong, Sarawak Shell
  • Kwong Wee Poh, Hibiscus Petroleum
  • Nasim Ralim, PETRONAS
  • Prat Boonyasatphan, PTTEP
  • Rakesh Bharat Doshi, DUG
  • Rob Ross, Qeye-Labs
  • Sagar Roghe, DUG
  • Wong Sook Chen, ConocoPhilips
  • Yap Siew Jiun, Geosoftware

Contact

Roshna Fathima
SEG Asia Pacific
Telephone: +91 9606897931
Email: [email protected]

Attend

Workshop Topics

  • Input data preconditioning
  • Integration of petrophysical interpretation and rock physics modeling
  • Interpretation – benefits, value addition, limitations, and pitfalls
  • Velocity and time-depth conversion
  • AVO attributes and analysis
  • Inversion – seismic and non-seismic data
  • Integration – from QI to reservoir modeling and flow simulation
  • Machine learning for reservoir characterization
  • Case studies – challenges faced, lessons learned, successes, and failures
  • Applications in unconventionals, CCS, shallow site, etc.
  • Pore pressure prediction and geomechanics

Who Should Attend

This workshop is aimed at all petrophysicists, rock physicists, geologists, geophysicists, seismic interpreters, reservoir engineers, petroleum engineers and data scientists who can benefit from the synergy provided by the content of this workshop.

Call for Abstracts

The committee will be inviting technical submissions for oral and poster presentations of case studies on a wide range of topics, including but not limited to:

  • Input data preconditioning
  • Integration of petrophysical interpretation and rock physics modeling
  • Interpretation – benefits, value addition, limitations, and pitfalls
  • Velocity and time-depth conversion
  • AVO attributes and analysis
  • Inversion – seismic and non-seismic data
  • Integration – from QI to reservoir modeling and flow simulation
  • Machine learning for reservoir characterization
  • Case studies – challenges faced, lessons learned, successes, and failures
  • Applications in unconventionals, CCS, shallow site, etc.
  • Pore pressure prediction and geomechanics

Our abstracts submission deadline is on 14 June 2024. For submissions, please email to [email protected] or [email protected]

Stay up-to-date on this workshop!

Important Dates

Call for Abstracts closes:
14 June 2024

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