Advances in Quantitative Seismic Interpretation


24–26 February 2025
Muscat, Oman

Workshop Description

Seismic Quantitative Interpretation (QI) is pivotal in geoscience, driving advancements across the upstream energy business. Despite its common practice, QI workflows still face numerous challenges that require innovative solutions and interdisciplinary integration. Advancements in seismic acquisition and processing have enhanced data quality and resolution, however, significant challenges still exist in extracting valuable insights. For example, the characterization of carbonates and deep tight clastic reservoirs represent unique complexities in the Middle East. To harness the growing volume of data, it is essential to explore automated workflows and advanced technologies such as Machine Learning (ML).

This workshop is designed to discuss the impact of QI on subsurface evaluation and delve into a wide spectrum of cutting-edge methodologies and technologies, including non-seismic methods. We will discuss integrated case studies as well as the latest technological advancements in the field of QI. The workshop will provide a platform for robust discussions on the current state and future directions of QI, fostering integration and collaboration across the industry.

Technical Committee

Committee Chair: Mahra Al-Hadhrami, Petroleum Development Oman (PDO)
Committee Co-Chair: Olivier Kirstetter, ADNOC
Committee Co-Chair: Abdulaziz Al Saad, Saudi Aramco

  • Ali Abu Ghneej, Kuwait Oil Company (KOC)
  • Ali Moradi Tehrani, GeoSoftware
  • Bilal Saeed, Halliburton
  • Bruno de Ribet, AspenTech
  • Dag Helland-Hansen, Electromagnetic Geoservices ASA
  • Eva Rumpfhuber, Shell
  • Faisal Al-Shukaili, Petroleum Development Oman (PDO)
  • Jahan Zeb Ahmed, ADNOC
  • Jamal Al Aamri, OXY
  • Jorg Herwanger, Sharp Reflections
  • Juan Soldo, PETRONAS
  • Karim Elsadany, SLB
  • Mauricio Herrera Volcan, SLB
  • Mohammed Farfour, Sultan Qaboos University (SQU)
  • Neil Omonigho, ADNOC
  • Olivier Colnard, Viridien
  • Panos Doulgeris, Delft Inversion
  • Pradeep Dudi, Baker Hughes
  • Simon Payne, Ikon Science
  • Thomas Hancock, Gaffney Cline
  • Yugang Hong, ADNOC


Priya Singh
SEG Middle East
Email: [email protected]


Who should attend?

The workshop will be of significant interest to geoscientists, engineers and data scientists involved in seismic acquisition and processing, interpretation, seismic reservoir characterization, geomechanics, petrophysics and reservoir modeling across the energy industry and academia.

Call for Abstracts

Technical topics include but are not limited to:

  • Impact of QI on business
  • Workflows and case studies
    • QI in carbonate and clastic reservoirs
    • QI in tight deep clastic and unconventional reservoirs
  • Workflows and case studies
    • 4D QI
    • Borehole QI
    • QI with multi-physical data
  • QI in carbon storage
  • Geomechanics modelling and applications
  • Integrated QI studies and integration with static model
  • Advanced QI technology & machine learning (ML)
  • Challenges of large datasets
  • Impact of data quality on QI results and uncertainty quantification
  • The value of multi-azimuthal seismic data for reservoir characterization
  • The value of sparse OBN velocity updates of streamer seismic data for QI/reservoir characterization

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 benefits, please contact us at [email protected].


Important Dates

Call for Abstracts closes:
11 November 2024