15-16 March 2020
Seismic data has been extensively used in the quantitative description of the reservoirs in the last few decades. This practice relied on the ability of the elastic data to identify and to quantify the reservoir in three dimensions. The advances in seismic data acquisition, processing and inversion has facilitated this advancement. The last workshop addressed the challenge of integrating seismic data into static reservoir models using key seismic reservoir characterization inputs such as petrophysics, rock physics and seismic inversion.
This workshop will focus on the effective integration of geological, geophysical and engineering data in building robust dynamic earth models. As the industry trend is moving towards big data analytics and machine learning, the workshop will explore the utilization of these algorithms to aid in the effective integration of the various complementary data types required for an optimal quantitative description of the reservoirs.
Committee Chair: Aiman Bakhorji, Saudi Aramco
Committee Co-Chair: Mohamed Hafez Abdul Razak, Kuwait Oil Company (KOC)
- Abdullah Alshuhail, KFUPM
- Beth Rees, CGG
- Christian Oviawe, ADNOC
- Khalaf Al Temimi, Dhahran Geoscience Society (DGS)
- Mohammed Abdulhameed Al-Yami, Schlumberger
- Mohatresh Almutairi, BlackRock QI Limited
- Mohammed Saleh, Saudi Aramco
- Michael Kemper, Ikon Science
- Mukarram Ahmed, Saudi Aramco
- Ping Zhang, Schlumberger
- Stefano Volterrani, ION
- Tapan Mukerji, Stanford University
SEG Middle East
Who should attend?
Geophysicists, geologists, petrophysicists and petroleum engineers specializing in seismic imaging, interpretation, sedimentology, sequence stratigraphy, reservoir modeling and seismic reservoir characterization from industry and academia.
The format of the workshop will feature presentations by invited key experts who will share their experiences. The workshop will serve as a unique opportunity to have open and extended discussions among the participants.
6 sessions (2 days). We will aim for one keynote speaker per session with a closing session at the end of the workshop to serve as the outlook going forward. The oral presentations are comprised of 20-minute talks followed by 5 minutes of Q&A. After each session, a 30-minute discussion session is planned. The objective of this session is to allow participants to discuss in detail and learn from each other what has worked for them and debate the issues and challenges facing them during their daily workflows. Session chairs will also serve as discussion leaders during the 30 minutes.
Call for Abstracts
Call for Abstracts submission deadline: 7 November 2019
Submit your abstract to email@example.com
We invite abstracts for the following technical topics, including but not limited to:
- Role of IR4.0 in Reservoir Modeling: Automation and Live Earth Model
- Data Analytics
- Converted Wave Data
- Reservoir Property Targeted Seismic Processing: AVA/ AVO/ Anisotropy
- FWI and Reservoir Properties
- Borehole Seismic methods
- Seismic Imaging: FWI, Multi component, velocity model building
- Sedimentology and Sequence Stratigraphy
- Rock Physics Modeling and Seismic Facies
- Seismic Stratigraphy
- Facies Integration: from Core Facies to Flow Units
- Fracture Characterization, Geomechanics and Pore Pressure
- Deep Neural Networks Generated Seismic Attributes
- Seismic Attributes for Reserves Estimation and Classification
- Seismic Inversion
- Reservoir Modeling
- Integrating Static with Dynamic Models
Max 2 page abstract + 1 figure, single column
Abstracts should include sufficient details for the committee to judge the quality of the submitted work. Abstracts should be a minimum of 1 page, text plus 1 figure, with a maximum of 2 pages. Abstracts should be on 8.5 x 11 inch paper size, text in Roman font, and include both text and figures.
Title should be one or two lines, at the top of the page, in bold font, and size 12 point. Authors should be listed in Roman italic font, size 10 point, and located just below the title. All text must stay 1 inch clear of the margins of the page. Submissions should be in Adobe Acrobat PDF format.
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