posted by organizer: cferreira || 611 views || tracked by 8 users: [display]

DM4OG 2017 : Workshop on Data Mining for Oil & Gas

FacebookTwitterLinkedInGoogle

Link: http://dm4og.inesctec.pt
 
When Apr 27, 2017 - Apr 29, 2017
Where Texas, USA
Submission Deadline Dec 23, 2016
Notification Due Jan 25, 2017
Categories    data mining   oil and gas   classification   fault detection
 

Call For Papers

The process of exploring and exploiting Oil and Gas (O&G) generates a lot of data that can bring more efficiency to the industry. Although there are several examples of research papers on data mining and soft computing applications in the O&G related sciences, the opportunities for using data mining techniques in the "digital oil-field" remain largely unexplored or uncharted. The significant challenges posed by this complex and economically vital field justify a meeting of data scientists that are willing to share their experience and knowledge.

Hosted at SIAM’s International Conference on Data Mining (SDM 2017), this workshop aims at bringing together researchers and practitioners from data science, data mining, forecasting, geophysics, petrochemistry, marine and petroleum geology, applied mathematics, and other disciplines, to explore the utilization of data mining techniques to develop intelligent solutions for O&G related modeling and optimization problems.

The **topics of interest** include, but are not limited to:
* the accurate positioning of structures (salt and overthrust),
* the characterization of laminated sands and shales,
* prediction and evaluation of pressure in reservoirs,
* fault detection and classification,
* facies recognition,
* exploration in difficult areas,
* accurate depth imaging,
* fluid/permeability prediction,
* identification and classification of fractures,
* uncertainty quantification,
* environmental issues.

All submitted papers will go through a rigorous double-blind peer review process, and the workshop proceedings will be published in electronic format, with CEUR-WS (indexed by DBLP, as well as Scopus).

Submitted papers should have no more than 15 pages, including references. Only original papers, i.e., that have not been published in an earlier workshop or conference, will be accepted.

In order to produce the PDF, we provide a LaTex template, and an example with author guidelines, at goo.gl/nom2KL.
The manuscripts must be submitted through the DM4OG EasyChair submissions site at https://goo.gl/1kUqXr.


**Important Dates**

Submission deadline: December 23, 2016
Author Notification: January 25, 2017
SDM Conference: April 27-29, 2017

SDM 2017 homepage: http://www.siam.org/meetings/sdm17/


**Organizing Committee**

Alípio Jorge, University of Porto, Portugal
German Larrazabal, Repsol USA, Houston, Texas, USA
Pablo Guillen, University of Houston, Texas, USA
Rui L. Lopes, INESC TEC, Porto, Portugal

Related Resources

pehealth 2016   The 1st Pacific Rim International Workshop on eHealth Mining (PeHealth)
KDD 2017   Knowledge Discovery and Data Mining
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
NLDB 2017   22nd International Conference on Natural Language & Information Systems
AIM@EPIA 2017   Artificial Intelligence in Medicine
Big Data- ADDS 2017   Special Issue on Big Data Analytics & Data-Driven Science
CCML 2017   The 16th China Conference on Machine Learning