02 February, 2021 Al-Khobar Eastern Province Saudi Arabia

2nd Edition: Decision Based Integrated Reservoir Modeling

1-2 February 2021
  |  
Al-Khobar, Saudi Arabia

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.

 

2nd Edition: Decision Based Integrated Reservoir Modeling - Call for Papers Ends on 02 January, 2021

You are invited to prepare a poster display for presentation. If you are interested in participating, please send a short abstract to . All posters will be produced as pull-up banners and delivered by AAPG. There will not be any other format available for poster display.

Poster Abstract Template

Session Topics
Day 1: Monday, 1st February

Session 1: DBM Current Best Practices – What Can be Enhanced?

Decision based integrated Modeling (DBM) continues to play a pivotal role in the oil and gas industry by ensuring that multi-disciplinary data integration produces the desired outcome for the most effective and actionable solutions. This session will examine present-day DBM technical workflows and best practices, along with potential enhancements through the implementation of emerging technology, particularly in big data analytics.

Session 2: Multi-Disciplinary Data Integration – New Approaches

Subsurface data integration is one of the main motivations to build reservoir models, but needs to fill the gaps between geological, geophysical, petrophysical, geomechanical and reservoir engineering perspectives. In this session, we welcome presentations on recent and new approaches to help practitioners and asset teams to reduce these gaps, including new theories, workflows, methods and organizations. Talks in this session are open to promising methods, case studies using new approaches and lessons learned. We expect thought-provoking presentations which challenge the current siloed reservoir modeling practices, show concrete ideas to make progress and promote discussions among the workshop attendance.

Day 2: Tuesday, 2nd February

Session 3: Machine Learning and Artificial Intelligence – Practical Applications, Recent Innovations and Automation

Saturation estimation and reservoir production are as good as we are able to provide better geological model. Reservoirs are complex and integrating all available data within few kilometers is becoming a critical part to provide a realistic model that is representative of the current reservoir and how it will behave in the next coming years of production. In other words, our way of constructing such models will need to evolve from the traditional techniques. The use of artificial intelligence (AI) and machine learning (ML) techniques to compensate the thousands of simulation runs is the new way of working. Like in many applications now, AI have proven to be powerful data processing tools and it is becoming an efficient tool for detecting complex relationship between inputs and outputs. Multiple researchers have already used it to better understand fluid flow in porous media and the current workshop is looking for contribution of AI in practical applications to enhance and facilitate decision based integrated reservoir modeling.

Session 4: Case Studies: Successes and Pitfalls

In this final session, case studies showcasing the important role of integration in reservoir modeling will be presented. A variety of topics will be discussed including the use of new technologies alongside well-established workflows for solving key reservoir management decisions. Valuable lessons learned will be shared with success stories and drawback to avoid.

 

AAPG Event Al-Khobar Eastern Province Saudi Arabia 03 February, 2021 Member, Engineering, Reservoir Engineering 7:00 AM 4:00 PM 19 April, 2020
 
Al-Khobar, Saudi Arabia
3 February 2021

Date: 3rd February 2021
Time: 7am – 4pm
Field Trip Leaders: Mohammed Masrahy and Fawaz Al Khaldi, Saudi Aramco
Registration Fee: $95
Registration Deadline: 16th December 2020

Field Trip Description

Analogues, especially ancient outcrop and modern analogues, have played a crucial role in improving the understanding of subsurface reservoir architectural elements. They provide important information on subsurface reservoir geobody size, geometry, and potential connectivity, which all contribute to better reservoir characterization, mainly in highly heterogeneous siliciclastic or carbonate reservoirs that require the integration and detailed analysis of petrophysics, facies, diagenesis, geometry, depositional environments and lateral and vertical variability.

Subsurface reservoir models are limited by available geological data. Outcrop and modern analogs from comparable systems provide additional input to geological models of the subsurface. This field trip will provide valuable insights into the nature of this complexity.

Aims and Objectives

The field trip will comprise a field study of a range of continental clastic modern systems and marine carbonate ancient systems, and related sedimentary facies, each of which possesses attributes that are comparable in part to the subsurface deposits.

Field trip attendees will gain knowledge about key competencies related to field geology such as measuring vertical sections, describing sedimentary structures and textures, describing sedimentary facies, identifying depositional environments, and linking sedimentological observations to subsurface reservoir modeling.

One specific aim of this field trip is to emphasize that integrated reservoir characterization and modeling processes take into account actual depositional trends and the distribution of the sedimentary bodies.

Intended Learning Outcomes

This field trip will provide explanations and discussions of the following aspects:

  1. Basin age, mechanisms of tectonic development, and regional palaeogeographic setting.
  2. An introduction to techniques and criteria for the recognition of continental (fluvial and aeolian systems), shallow marine and carbonate related sedimentary facies in outcrop and modern system and discussions of the application of these techniques to the study of subsurface sedimentology and geological modeling.
  3. Discussions of the 1D, 2D and 3D facies architecture with particular consideration of the geometry and scale of key stratal bodies that have relevance for understanding subsurface hydrocarbon reservoirs.
  4. Discussion of the nature of autocyclic (intrinsic) interactions between competing sedimentary processes and consideration of the implications of these in terms of reservoir quality.
  5. Discussion of the nature of allocyclic (external) controls on sedimentary processes and consideration of the effects of temporal and spatial changes in these controls on the preserved succession (through introduction of sequence stratigraphic concepts).
  6. The significance of accurately determining the preserved geometry of reservoir successions and how to undertake correlations at the interwell scale.
  7. How to predict the 3D distribution of net versus non-net reservoir.
  8. How best to make region-wide predictions in areas for which palaeogeography is poorly constrained.
Elevated water-table levels promote aeolian accumulation and long-term preservation
Elevated water-table levels promote aeolian accumulation and long-term preservation
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Al Khobar, Saudi Arabia
Al Khobar, Saudi Arabia Al Khobar, Saudi Arabia New Date 51732

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Note: All prices are in USD

  • By registering with the join and save rate, part of your registration fee will cover the cost of your AAPG membership application
  • To register with member/speaker fees, you must be an active member of AAPG or a speaker at the workshop
  • To register as a young professional, you must be under the age of 35 with less than 10 years’ work experience


Nazih Najjar Chair Saudi Aramco
Nicolas Leseur Committee Member Baker Hughes
Behzad Alaei Committee Member Earth Science Analytics
Aymen Haouesse Committee Member Emerson
Vasily Demyanov Committee Member Heriot-Watt University
Guillaume Caumon Committee Member Nancy School of Geology
Mokhles Mezghani Committee Member Saudi Aramco
Colin Daly Committee Member Schlumberger
Wael Abdallah Committee Member Schlumberger
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