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2nd Edition: Decision Based Integrated Reservoir Modeling (On Demand)

Occurred Monday, 1 February – Sunday, 4 April 2021, 12:30 p.m.–5:00 p.m. | Virtual Workshop via Swapcard (GST/GMT+4)

What to Expect from the AAPG Virtual Experience:

Due to the ongoing travel restrictions and differing guidelines from companies and organizations, the 2nd edition of the Decision Based Integrated Reservoir Modeling GTW was held virtually from 1-4 February 2021 and is now available on demand until 4 April 2021 for registered attendees. Registration is still open for those who wish to benefit from the technical talks, breakout sessions and virtual field trip.

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

The 2nd edition of the Decision Based Integrated Reservoir Modeling GTW was held virtually from 1-4 February 2021 and is now available on demand until 4 April 2021 for registered attendees. Registration is still open for those who wish to benefit from the technical talks, breakout sessions and virtual field trip.

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 were GST (Gulf Standard Time)

Monday 1 February

Session 1: DBM Current Best Practices – What can be Enhanced? Session Chairs: Nicolas Leseur, Baker Hughes and Nazih Najjar, Saudi Aramco
12.30-12.40	Workshop Chair's Welcome and Introduction
12.40-12.55	Inaugural Keynote: Aus Al Tawil, Manager of Southern Area Reservoir Characterization, Saudi Aramco
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	Merging Machine Learning and Reservoir Physics to Make Better Decisions Jon Sætrom, Resoptima
13.50-14.00	Coffee Break
14.00-14.25	Big Data in the Oil and Gas Industry: Current Practical Challenges and Opportunities Mustafa Al Ibrahim, Saudi Aramco
14.25-14.50	Integration of Rock Physic Models and 4D Seismic Data in the Reservoir Model, Challenges and Examples from Edvard Grieg Odd Kolbjørnsen, Lundin Energy
14.50-15.00	Coffee Break
15.00-16.00	Break Out Session

Tuesday 2 February

Session 2: Multi-Disciplinary Data Integration – New Approaches Session Chairs: Guillaume Caumon, Universite de Lorraine and Mokhles Mezghani, Saudi Aramco
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	Non-Linear Least Square Optimization of Stratigraphic Carbonate Models Hussain Alqattan, Saudi Aramco
14.00-14.25	Assisted Stratigraphic Correlation for Integrating Seismic Data, Wells and Geological Rules: Achievements and Challenges Guillaume Caumon, Universite de Lorraine
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 Session Chairs: Behzad Alaei, Earth Science Analytics; Mohammad Al-Hamad, Schlumberger
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
13.25-13.35	Coffee Break
13.35-14.00	AI-Assisted Reservoir Characterization on a Cloud-Native Data Platform Eirik Larsen, Earth Science Analytics
14.00-14.25	Injecting Physics, Domain Knowledge, and Geology in Data-Driven Approaches for the Interpretation of Subsurface Measurements Data Smaine Zeroug, Schlumberger
14.25-14.35	Coffee Break
14.35-15.35	Break Out Session

Thursday 4 February

Session 4: Case Studies – Successes and Pitfalls Session Chairs: Vasily Demyanov, Heriot-Watt University & Colin Daly, Schlumberger
12.30-13.00	Session Keynote: Predictive Intelligence Drives the Future: The Unified Field Development Platform Tareq Al-Zahrani, Saudi Aramco
13.00-13.25	The Challenge of Modelling Horizontal Wells in a Thin Pay Carbonate Reservoir Sajeda Barni, Tatweer Petroleum
13.25-13.50	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 Al-Masrahy, Saudi Aramco
13.50-14.00	Coffee Break
14.00-15.00	Break Out Session
15.00-15.10	Workshop Wrap Up & Adjournment
15.30-17.00	The Present is the Key to the Past: From Modern to Ancient and from Rock Record to Subsurface Modeling - An Analogue Study for Modeling Depositional Environments Virtual Field Trip

Contacts

Cora Navarro Marketing Manager - Middle East, Africa & Asia Pacific

Katie Steibelt Senior Events Manager, Middle East, Africa & Asia Pacific

Virtual Delegate Bag

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