ECMOR XVI

ECMORXIV logo

ECMOR XVI 2018

Date
3 - 6 September
Location
Barcelona, Spain
Registration
Early
Call for papers
Closed

Welcome to ECMOR XVI

Barcelona Art GalleryFrom 3 - 6 September, the cosmopolitan capital of Spain’s Catalonia region, will host the 16th edition of the European Conference on the Mathematics of Oil Recovery. The biennial ECMOR conference gathers applied mathematicians and geosciences engineers from both academia and industry to discuss the recent advances in the mathematics of oil recovery.

The First Announcement is now available here.

 

 

Important Dates

Open Registration Very soon
Notification of the programme March 2018
Deadline Early registration 31 May 2018
Deadline Submission Full Papers 19 June 2018
ECMOR XVI 3-6 September 2018

Facts

Date: 3 - 6 September 2018

Location: Barcelona, Spain

Expected Attendees: 200+

Number of Sessions: 15+

Number of Posters: 100+

Kind of event: Conference

 

Call for Abstracts is now closed!

We invited all applied mathematicians and geoscientists to contribute to the technical programme, to share results, experiences and new ideas during the ECMOR conference. The Call for Abstracts is now closed.

In total we received over 250 abstracts for the conference and we all inform authors in March on the tentative programme of ECMOR XVI.

Keynote speaker Announcement

Professor Mateo Valero, Director of the Barcelona Supercomputing Center, and a highly acclaimed leader in the field of computer architecture will give a keynote presentation during ECMOR XVI in Barcelona.

His research encompasses different concepts within the field of computer architecture, a discipline in which he has published more than 700 papers in journals, conference proceedings and books. Valero has received nomerous awards, including the Eckert-Mauchly award in 2007, for "extraordinary leadership in building a world class computer architecture research center, for seminal contributions in the areas of vector computing and multithreading, and for pioneering basic new approaches to instruction-level parallelism.