Computational Fluid Dynamics

MISSION

Mission of the SPE-GCS Computational Fluid Dynamics Study Group is to provide a common platform for CFD practitioners in Oil & Gas industry to foster knowledge sharing and networking, facilitate discussions, education/learning/training and develop boarder consensus on best practices in the area of CFD modelling for applications including (but not limited to) Near wellbore reservoir modelling, Drilling and Completion, Flow Assurance, Process and Process Safety, Offshore and Deepwater, Refining and Petrochemicals…

Scope for CFD modelling is gaining momentum and growing rapidly in Oil & Gas industry. It is important to set proper expectations through good understanding of opportunities and challenges in CFD modeling. By raising awareness and providing a platform for industry professionals to network, this Study Group increases confidences on CFD predictions and influences sound decision making.

To address the growing interest within the SPE community, the CFD Study Group organizes knowledge‐sharing events by key industry practitioners, thought leaders, and decision makers. The target audience for these events include oil and gas executives and managers, CFD practitioners, industry professionals, and subject matter experts from operators, service companies, consultants, academia, software vendors, and government labs.

 COMMITTEE

Madhusuden Agrawal    Chair	Kedar Deshpande        Vice Chair	Mazdak Parsi         Treasurer

Gocha Chochua	Kuochen Tsai	Bharat Tulsyan	Uday Godse
Program Coordinators
Aastha Agrawal (Volunteer - webpage maintenance)

 STUDY GROUP EVENTS

Webinars:

Luncheon Meetings:

Future Events:

Annual Symposium 2019:

Digital Solutions for Fluid Flow Problems in Oil & Gas Industry

April 11, 2019, Chevron Auditorium, 1500 Louisiana St, Houston

Program Booklet

Presentations:

• Role of Science-Based Modelling in the Oil & Gas industry, and How Digital Technologies can Help, Samir Khanna, BP
• Data Analytics and Machine Learning in Flow Assurance, Prabu Parthasarathy, Wood Plc
• Simulation-Driven Design of Cyclone Type Autonomous Inflow Control Device for Water and Gas Control, Gocha Chochua, Schlumberger
• Accelerating Innovation in New Energies: Applications of Computational Methods, Santhosh Shankar, Shell
• Advances in CFD Modelling of Multi-Regime Multiphase Flows, Simon Lo, Siemens PLM Software
• Keys to Particulate Diverter Applications: From CFD Modeling to Geomechanical Simulation, Jian Huang, Weatherford
• Choosing the Right Scale for Building Effective Digital Twins in Process Industries, Nandakumar, Louisiana State University
• Simulation-Based Digital Twins for Improved Asset Operation and Maintenance Management, Anchal Jatale, ANSYS
• CFD Modeling in Downhole Completion Tool Applications, Bin Zhu, Baker
• Modeling Polydisperse Multiphase Flows with Quadrature-Based Moment Methods in OpenQBMM, Alberto Passalacqua and Rodney Fox, Iowa State University
• A CFD Based Neural Network Model for Oil/Water Separation in Horizontal Pipelines, Kuochen Tsai, Shell
• Role of CFD Modelling in Digital Twin Concept for the Oil and Gas Industry, Ali Marzban, NOV
• Structural Integrity: Why Should I Care About Fluid Flow Simulation, Matt Straw, Norton Straw Consultants
• Multiphase Computational Fluid Dynamics at Exascale, Madhava Syamlal and William Rogers, NETL
• Assessment of Erosion in the Pipelines using Data Science, Erosion Science and CFD Methods, Praveen Gonuguntla and Damodaran Vedapuri, Tridiagonal
• Hybrid Digital Twin: The Challenges in Combining Data-Driven and Physics-based Techniques for Digital Twin Creation & Modeling, Srinath Madasu, Halliburton
• CFD – DEM Coupling for Modeling of Fluid Flow with Accurate Particle Representation, Marcus Reis and Clovis Maliska, ESSS
• Examples of Multiphysics Simulations and Predictive Analytics for Petroleum Engineering Applications, Mayank Tyagi, Louisiana State University
• Pragmatic Approach to Model Industrial Scale Gas-solids Reacting Flows, Sreekanth Pannala, SABIC
• Advanced CFD Modeling Tools to Accurately and Efficiently Predict Complex Hazardous Phenomena at Large-Scale Petrochemical Facilities, Drew Botwinick and Scott Davis, Gexcon US

Pictures:

VOLUNTEER OPPORTUNITIES

The Computational Fluid Dynamics Study Group has the following positions open: 

• Publicity

Fill out the following form and the chair will be in touch with you about volunteering opportunities.

 SPONSORSHIP OPPORTUNITIES

Please contact Madhusuden Agrawal at madhusuden.agrawal@bp.com for sponsorship opportunities.