Performance analysis of continuous resource model updating in lignite production

Cansin Yüksel; Jörg Benndorf

doi:10.1007/978-3-319-46819-8_29

Performance analysis of continuous resource model updating in lignite production

Cansin Yüksel, Jörg Benndorf

Resource Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

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 language	English
Title of host publication	Geostatistics Valencia 2016
Subtitle of host publication	10th International Geostatistical Congress
Editors	J. Jaime Gomez-Hernandez, Marıa Elena Rodrigo-Clavero, Jose Antonio Vargas-Guzman, Javier Rodrigo-Ilarri, Eduardo Cassiraga
Publisher	Springer
Pages	431-446
ISBN (Electronic)	978-3-319-46819-8
ISBN (Print)	978-3-319-46818-1
DOIs	https://doi.org/10.1007/978-3-319-46819-8_29
Publication status	Published - 2017
Event	10th International Geostatistical Congress - Valencia, Spain Duration: 5 Sept 2016 → 9 Sept 2016 Conference number: 10 http://geostats2016.upv.es/

Publication series

Name	Quantitative Geology and Geostatistics, QGAG
Publisher	Springer
Volume	19
ISSN (Print)	0924-1973
ISSN (Electronic)	2215-1834

Conference

Conference	10th International Geostatistical Congress
Abbreviated title	Geostats2016
Country/Territory	Spain
City	Valencia
Period	5/09/16 → 9/09/16
Internet address	http://geostats2016.upv.es/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-46819-8_29

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Yüksel, C., & Benndorf, J. (2017). Performance analysis of continuous resource model updating in lignite production. In J. J. Gomez-Hernandez, M. E. Rodrigo-Clavero, J. A. Vargas-Guzman, J. Rodrigo-Ilarri, & E. Cassiraga (Eds.), Geostatistics Valencia 2016: 10th International Geostatistical Congress (pp. 431-446). (Quantitative Geology and Geostatistics, QGAG; Vol. 19). Springer. https://doi.org/10.1007/978-3-319-46819-8_29

Yüksel, Cansin ; Benndorf, Jörg. / Performance analysis of continuous resource model updating in lignite production. Geostatistics Valencia 2016: 10th International Geostatistical Congress. editor / J. Jaime Gomez-Hernandez ; Marıa Elena Rodrigo-Clavero ; Jose Antonio Vargas-Guzman ; Javier Rodrigo-Ilarri ; Eduardo Cassiraga. Springer, 2017. pp. 431-446 (Quantitative Geology and Geostatistics, QGAG).

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title = "Performance analysis of continuous resource model updating in lignite production",

abstract = "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.",

author = "Cansin Y{\"u}ksel and J{\"o}rg Benndorf",

year = "2017",

doi = "10.1007/978-3-319-46819-8_29",

language = "English",

isbn = "978-3-319-46818-1",

series = "Quantitative Geology and Geostatistics, QGAG",

publisher = "Springer",

pages = "431--446",

editor = "Gomez-Hernandez, {J. Jaime} and Rodrigo-Clavero, {Marıa Elena} and Vargas-Guzman, {Jose Antonio} and Javier Rodrigo-Ilarri and Eduardo Cassiraga",

booktitle = "Geostatistics Valencia 2016",

note = "10th International Geostatistical Congress, Geostats2016 ; Conference date: 05-09-2016 Through 09-09-2016",

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Yüksel, C & Benndorf, J 2017, Performance analysis of continuous resource model updating in lignite production. in JJ Gomez-Hernandez, ME Rodrigo-Clavero, JA Vargas-Guzman, J Rodrigo-Ilarri & E Cassiraga (eds), Geostatistics Valencia 2016: 10th International Geostatistical Congress. Quantitative Geology and Geostatistics, QGAG, vol. 19, Springer, pp. 431-446, 10th International Geostatistical Congress, Valencia, Spain, 5/09/16. https://doi.org/10.1007/978-3-319-46819-8_29

Performance analysis of continuous resource model updating in lignite production. / Yüksel, Cansin; Benndorf, Jörg.
Geostatistics Valencia 2016: 10th International Geostatistical Congress. ed. / J. Jaime Gomez-Hernandez; Marıa Elena Rodrigo-Clavero; Jose Antonio Vargas-Guzman; Javier Rodrigo-Ilarri; Eduardo Cassiraga. Springer, 2017. p. 431-446 (Quantitative Geology and Geostatistics, QGAG; Vol. 19).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Performance analysis of continuous resource model updating in lignite production

AU - Yüksel, Cansin

AU - Benndorf, Jörg

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PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-46819-8_29

DO - 10.1007/978-3-319-46819-8_29

M3 - Conference contribution

SN - 978-3-319-46818-1

T3 - Quantitative Geology and Geostatistics, QGAG

SP - 431

EP - 446

BT - Geostatistics Valencia 2016

A2 - Gomez-Hernandez, J. Jaime

A2 - Rodrigo-Clavero, Marıa Elena

A2 - Vargas-Guzman, Jose Antonio

A2 - Rodrigo-Ilarri, Javier

A2 - Cassiraga, Eduardo

PB - Springer

T2 - 10th International Geostatistical Congress

Y2 - 5 September 2016 through 9 September 2016

ER -

Yüksel C, Benndorf J. Performance analysis of continuous resource model updating in lignite production. In Gomez-Hernandez JJ, Rodrigo-Clavero ME, Vargas-Guzman JA, Rodrigo-Ilarri J, Cassiraga E, editors, Geostatistics Valencia 2016: 10th International Geostatistical Congress. Springer. 2017. p. 431-446. (Quantitative Geology and Geostatistics, QGAG). doi: 10.1007/978-3-319-46819-8_29

Performance analysis of continuous resource model updating in lignite production

Abstract

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Conference

UN SDGs

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