DMG 2018 - 2018 Workshop on Data Mining for Geophysics and Geology

Modern geosciences have to deal with large quantities and a wide variety of data, including 2-D, 3-D and 4-D seismic surveys, well logs generated by sensors, detailed lithological records, satellite images and meteorological records. These data serve important industries, such as the exploration of mineral deposits and the production of energy (Oil and Gas, Geothermal, Wind, Hydroelectric), are important in the study of the earth crust to reduce the impact of earthquakes, in land use planning, and have a fundamental role in sustainability.
The volume of raw data being stored by different earth science archives today makes it impossible to rely on manual examination by scientists. The data volumes resultant of different sources, from terrestrial or aerial to satellite surveys, will reach a terabyte per day by the time all the planned satellites are flown. In particular, the oil industry has been using large quantities of data for quite a long time. Although there are published works in this area since the 70s, these days, the ubiquity of computing and sensor devices enables the collection of higher resolution data in real time, giving a new life to a mature industrial field. Understanding and finding value in this data has an impact on the efficiency of the operations in the oil and gas production chain. Efficiency gains are particularly important since the steep fall in oil prices in 2014, and represent an important opportunity for data mining and data science.
After the inaugural Workshop on Data Mining for Oil and Gas (DM4OG - SDM 2017) the scope of the meeting opened to the Geosciences. This workshop aims at bringing together researchers and practitioners from data science, data mining, forecasting, geosciences, petrochemistry, marine and petroleum geology, applied mathematics, and other disciplines, to explore the utilization of data mining techniques to develop intelligent solutions in the area of the geosciences with a special focus in the oil and gas exploration.
The topics of interest include, but are not limited to:
* Oil and gas exploration and production
* Mineral deposit/reservoir identification and characterization
* Exploration of well-log data
* Earth crust analysis and understanding
* Sensor data exploration
* Remote sensing
* Novel data mining problems in the geosciences
* Visualization of big data in the geosciences
* Geoscience data fusion for enhancing data mining solutions
* Data streams analysis in geoscience
* Feature extraction and data transformation from geoscientific data
** Submissions: **
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). Alternatively, if CEUR's requirements are not met, the proceedings will be published using arXiv.
Full papers should have between 5 and 15 pages, including references. Only original papers, i.e., that have not been published in an earlier workshop or conference, will be accepted.
Extended abstracts (between 2 and 4 pages) are also accepted for work in progress, early projects, software demos, industrial applications, or any relevant issue more appropriately addressed in this format.
Accepted full papers will be given approximately 20 minutes for presentation, plus time for discussion. Selected extended abstracts will have approximately 10 minutes for presentation, plus time for discussion.
In order to produce the PDF, we provide a LaTex template, together with an example with author guidelines (download author guidelines).
The manuscripts must be submitted through the DM4OG EasyChair submissions page at https://easychair.org/conferences/?conf=dmg2.
** Important Dates: **
Submission Deadline: January 10, 2018
Notifications: February 10, 2018
Conference Early-Registration: TBA
SDM 2018: May 3-5, 2018
SDM 2018 homepage: http://www.siam.org/meetings/sdm18/
**Organizing Committee**
Youzuo Lin, Los Alamos National Laboratory (LANL), Santa Fe, New Mexico, USA
Weichang Li, Aramco Research Center, Houston, Texas, USA
Alípio Jorge, University of Porto, Portugal
Rui L. Lopes, INESC TEC, Porto, Portugal
German Larrazabal, Repsol USA, Houston, Texas, USA
Pablo Guillen, University of Houston, Texas, USA