Performance analysis of continuous resource model updating in lignite production

Cansin Yüksel, Jörg Benndorf

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


Recently an efficient updating framework was proposed aiming to improve the raw material quality control and process efficiency in any type of mining operation. The concept integrates sensor data measured on the production line into the resource model and continuously provides locally more accurate resource models. A demonstration in lignite production is applied in order to identify the impurities (marine and fluvial sands) in the coal seams to lead better coal quality management. The updating algorithm applies different algorithmic parameters. This study aims to investigate the sensitivity of the performance with respect to different parameters for optimal application. Main parameters include the ensemble size, the localization and neighborhood strategies, and the sensor precision. The results should assist in future applications by determining the impact of the different parameters.
Original languageEnglish
Title of host publicationGeostatistics Valencia 2016
Subtitle of host publication10th International Geostatistical Congress
EditorsJ. Jaime Gomez-Hernandez, Marıa Elena Rodrigo-Clavero, Jose Antonio Vargas-Guzman, Javier Rodrigo-Ilarri, Eduardo Cassiraga
ISBN (Electronic)978-3-319-46819-8
ISBN (Print)978-3-319-46818-1
Publication statusPublished - 2017
Event10th International Geostatistical Congress - Valencia, Spain
Duration: 5 Sep 20169 Sep 2016
Conference number: 10

Publication series

NameQuantitative Geology and Geostatistics, QGAG
ISSN (Print)0924-1973
ISSN (Electronic)2215-1834


Conference10th International Geostatistical Congress
Abbreviated titleGeostats2016
Internet address


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