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2nd Edition: Decision Based Integrated Reservoir Modeling

Monday, 1 February Thursday, 4 February 2021, 12:30 a.m.–4:30 p.m.  |  Virtual Workshop via Zoom (Dubai, UAE time)

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What to Expect from the AAPG Virtual Experience:

Due to the ongoing travel restrictions and differing guidelines from companies and organizations, the AAPG Decision Based Integrated Reservoir Modeling GTW will now be taking place virtually from 1 – 4 February 2021 and then on-demand anytime, from anywhere, and from any device for the next 2 months. The workshop will provide the best opportunity to safely connect with industry colleagues and peers while travel restrictions, social distancing, and health concerns persist. The new dynamic all-digital platform makes it simple for you to access all the great science, networking, and technology to help you stay on the cutting edge of petroleum geoscience. Our businesses and industry are experiencing difficult times, but overcoming obstacles is what explorers do – so let’s do it together.

  • Benefits of our virtual events:
  • Easily view the live presentations, ask questions and chat with other attendees
  • Easily access the technical program and details of each presentation
  • View the profiles of each presenter
  • Participate in breakout discussion sessions
  • Networking with other attendees and schedule one on one meetings
  • Access to all the presentations for up to 2 months after the workshop
  • Access to a dedicated sponsorship page
  • Digital delegate bag and certificate of attendance

Following the successful 1st edition of the Decision based Integrated Reservoir Modeling GTW, the 2nd edition will focus on the latest technology and cost-effective approaches for building accurate and predictive 3D reservoir models for the oil and gas industry. Integrated reservoir modeling plays a pivotal role in the E&P workflow, where 3D quantitative geocellular models provide essential input for major oil and gas field development decisions. Static and dynamic data integration, new developments in 3D reservoir modeling techniques, and uncertainty quantification associated with reserves estimation, will be just a few topics, among others, to be tackled and discussed during the workshop.

Benefits of Attending

Just like many industries, the oil and gas industry is embracing machine learning (ML) and artificial intelligence (AI) technology that is expected to fundamentally transform the way we quantitatively characterize and model subsurface reservoirs. Fascinating geoscience-related ML and AI technological innovations, including challenges and opportunities, will be presented and debated. Will ML and AI help us achieve enhanced accuracy and cost-effectiveness when it comes to reservoir properties prediction and 3D reservoir modeling in complex reservoirs with large multi-disciplinary data?

The workshop will also include case studies presentations underscoring how advanced reservoir modeling technology and rigorous multi-disciplinary data integration facilitated the successful execution of complex field increments. Discussions are also expected on the most common pitfalls to avoid.

An optional one day field trip is planned in connection with the workshop.

Who Should Attend?

Geologists, geophysicists, reservoir modelers, petrophysicists, reservoir simulation engineers, reservoir management engineers, project managers, data scientists, and team leaders working in exploration, field development, and technology innovation.

 

Note: All program times are GST (Gulf Standard Time)

Details of the digital platform to be used will be shared with you shortly. Please check back for more information


Monday 1 February
12.30-12.40 Workshop Chair's Welcome and Introduction
12.40-12.55 Inaugural Keynote
Session 1: DBM Current Best Practices – What can be Enhanced?
12.55-13.25 Session Keynote: How a Tight Combination of Geostatistics and Machine Learning can Bring Significant Practical Advantages to Reservoir Modeling
Colin Daly, Schlumberger
13.25-13.50 Utilizing Technology to Enhance Decision Based Modeling Practices
Mohammed Al-Yami, Schlumberger
13.50-14.00 Coffee Break
14.00-14.25 Merging Machine Learning and Reservoir Physics to Make Better Decisions
Jon Sætrom, Resoptima
14.25-14.50 TBC
14.50-15.00 Coffee Break
15.00-16.00 Break Out Session
Tuesday 2 February
Session 2: Multi-Disciplinary Data Integration – New Approaches
12.30-13.00 Session Keynote: The New Frontier: Predictive and Multi-Scales Reservoir Models from Process-Based Techniques
Gérard Massonnat, Total
13.00-13.25 Improved Facies Model by Using Novel Approach of Forward Stratigraphic Modeling - a Case Study
Muhammad Kamran Qureshi, Schlumberger
13.25-13.35 Coffee Break
13.35-14.00 TBA
Vedad Hadziavdic ,Wintershall Dea
14.00-14.25 TBA

14.25-14.35 Coffee Break
14.35-15.35 Break Out Session
Wednesday 3 February
Session 3: ML and AI – Practical Applications, Recent Innovations and Automation
12.30-13.00 Session Keynote: Artificial Intelligence-Based Earth Models Deliver Breakthroughs from Seismic Multiple Suppression to Seeing Ahead of the Drill Bit
Barry Zhang, Quantico Energy Solutions
13.00-13.25 Physics-Based Vs. Data-Driven. A False Dilemma?
Nicolas Leseur, Baker Hughes
13.25-13.50 AI-Assisted Reservoir Characterization on a Cloud-Native Data Platform
Eirik Larsen, Earth Science Analytics
13.50-14.00 Coffee Break & Posters
14.00-14.25 Injecting Physics, Domain Knowledge, and Geology in Data-Driven Approaches for the Interpretation of Subsurface Measurements Data
Smaine Zeroug, Schlumberger
14.25-14.50 Big Data in the Oil and Gas Industry: Current Practical Challenges and Opportunities
Mustafa Al Ibrahim, Saudi Aramco
14.50-15.00 Coffee Break & Posters
15.00-16.00 Break Out Session
Thursday 4 February
Session 4: Case Studies – Successes and Pitfalls
12.30-13.00 Session Keynote: Predictive Intelligence Drives the Future: The Unified Field Development Platform
Tareq Zahrani, Saudi Aramco
13.00-13.25 The Present is the Key to the Past, from Modern to Ancient, and from Rock Record to Subsurface Modeling: The Journey of Geological Reservoir Modeling
Mohammed Masrahy, Saudi Aramco
13.25-13.35 Coffee Break & Posters
13.35-14.00 Complex Integrated Model as an Instrument for Optimal Decision Making
Boris Beloserov , Gaspromneft
14.00-14.25 The Challenge of Modelling Horizontal Wells in a Thin Pay Carbonate Reservoir
Sajeda Barni, Tatweer Petroleum
14.25-14.35 Coffee Break & Posters
14.35-15.35 Break Out Session
15.35-16.35 Workshop Wrap Up & Adjournment
 
$495
Expires on
21 February, 3020
Member Fee
$595
Expires on
21 February, 3020
Non-Member Fee
$200
Expires on
21 February, 3020
Faculty Member Fee
$250
Expires on
21 February, 3020
Faculty Non-Member Fee
$100
Expires on
21 February, 3020
Student Member Fee
$150
Expires on
21 February, 3020
Student Non-Member Fee
 

Note: All prices are in USD

  • Fees include access to all live presentations and on demand presentations for up to two months after the event
  • To register with member fees, you must be an active member of AAPG
Corporate Registration

For corporate registrations please contact , Marketing & Events Officer.

Corporate Group Pricing

  • 10+ pax > $4,210
  • 20+ pax > $7,920
  • 30+ pax please get in touch with for pricing.
Nazih F. Najjar Nazih Najjar Chair Sr Geological Consultant, Saudi Aramco, Saudi Arabia
Nicolas Leseur Nicolas Leseur Committee Member Baker Hughes
Behzad Alaei Behzad Alaei Committee Member Earth Science Analytics
Aymen Haouesse Aymen Haouesse Committee Member Emerson
Vasily Demyanov Vasily Demyanov Committee Member Heriot-Watt University
Guillaume Caumon Guillaume Caumon Committee Member Nancy School of Geology, France
Mokhles Mezghani Mokhles Mezghani Committee Member Saudi Aramco
Colin Daly Colin Daly Committee Member Schlumberger, England (U.K.)
Wael Abdallah Wael Abdallah Committee Member Schlumberger
Cora Navarro Marketing & Events Officer, Middle East
Katie Steibelt Events Manager, Middle East
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