Fuzzy-Based Prediction of Spatio-Temporal Distribution of Wet Muck in Block Cave Mine of PT Freeport Indonesia

Widodo, Lilik Eko; Widijanto, Eman; Faadhilah, Iftikhor; Sunyoto, Wahyu

doi:10.5614/j.eng.technol.sci.2018.50.2.9

Jurnal SINTA 1

Fuzzy-Based Prediction of Spatio-Temporal Distribution of Wet Muck in Block Cave Mine of PT Freeport Indonesia

Journal of Engineering and Technological Sciences · Vol. 50 No. 2 (2018) · hlm. 291–313

DOI: 10.5614/j.eng.technol.sci.2018.50.2.9
ISSN: 2338-5502, 2337-5779
Terbit: 2018-06-29
Penerbit: Directorate for Research and Community Services, Institut Teknologi Bandung
Bahasa: eng

Abstrak

Mud rushes, or wet muck spills, are hydro-geotechnical challenges in block cave mines where wet muck spills out of drawpoints formed by the accumulation of fine materials and water in drawbells. The purpose of this paper is to share the results of the developement of an improved predictive tool that can be used to manage wet muck spills. The tool was developed based on the hybrid modeling of wet muck distribution using fuzzy logic and fuzzy number operations. The fuzzy logic operations were applied to model the spatial distribution of wet muck classes, providing the spatial model of drawpoint status based on five contributing factors, i.e. the height of draw, the water content, the grain size of the fine material, rainfall, and no-mucking days. The fuzzy number operations were used in accordance with the mass balance principle to estimate the temporal distribution of wet muck that forms a mud deposit consisting of fine materials and water in a drawbell. The mass balance principle was expressed using the fuzzy ordinary differential equation, including the uncertainty of joining variables. A wet muck spill event at the Deep Ore Zone (DOZ) block cave mine of PT Freeport Indonesia was utilized as a case study as well as to validate the proposed method. The fuzzy-based approach shows promising results in predicting wet muck spill events.

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12 penulis · 27 tautan kepenulisan bersama · 5 lintas organisasi

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Bandung Institute of Technology
Sumatera Institute of Technology
Universitas Pembangunan Nasional Veteran Yogyakarta
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Rekan penulis	Organisasi	Artikel bersama
Sudarto Notosiswoyo	Bandung Institute of Technology	3
Tedy Agung Cahyadi	Universitas Pembangunan Nasional Veteran Yogyakarta	2
Zuher Syihab	Bandung Institute of Technology	2
Rahmat Fadhilah	Sumatera Institute of Technology	1
Irwan Iskandar	Bandung Institute of Technology	1
Gunawan Handayani	Bandung Institute of Technology	1
Reza Adhi Fajar	Bandung Institute of Technology	1
Tri Chandra Pamungkas	Bandung Institute of Technology	1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jets/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en-US">Fuzzy-Based Prediction of Spatio-Temporal Distribution of Wet Muck in Block Cave Mine of PT Freeport Indonesia</dc:title>
	<dc:creator>Widodo, Lilik Eko</dc:creator>
	<dc:creator>Widijanto, Eman</dc:creator>
	<dc:creator>Faadhilah, Iftikhor</dc:creator>
	<dc:creator>Sunyoto, Wahyu</dc:creator>
	<dc:subject xml:lang="en-US">block cave</dc:subject>
	<dc:subject xml:lang="en-US">fuzzy differential equation</dc:subject>
	<dc:subject xml:lang="en-US">fuzzy logic</dc:subject>
	<dc:subject xml:lang="en-US">mud rush</dc:subject>
	<dc:subject xml:lang="en-US">predictive tool</dc:subject>
	<dc:subject xml:lang="en-US">wet muck</dc:subject>
	<dc:description xml:lang="en-US">Mud rushes, or wet muck spills, are hydro-geotechnical challenges in block cave mines where wet muck spills out of drawpoints formed by the accumulation of fine materials and water in drawbells. The purpose of this paper is to share the results of the developement of an improved predictive tool that can be used to manage wet muck spills. The tool was developed based on the hybrid modeling of wet muck distribution using fuzzy logic and fuzzy number operations. The fuzzy logic operations were applied to model the spatial distribution of wet muck classes, providing the spatial model of drawpoint status based on five contributing factors, i.e. the height of draw, the water content, the grain size of the fine material, rainfall, and no-mucking days. The fuzzy number operations were used in accordance with the mass balance principle to estimate the temporal distribution of wet muck that forms a mud deposit consisting of fine materials and water in a drawbell. The mass balance principle was expressed using the fuzzy ordinary differential equation, including the uncertainty of joining variables. A wet muck spill event at the Deep Ore Zone (DOZ) block cave mine of PT Freeport Indonesia was utilized as a case study as well as to validate the proposed method. The fuzzy-based approach shows promising results in predicting wet muck spill events.</dc:description>
	<dc:publisher xml:lang="en-US">Directorate for Research and Community Services, Institut Teknologi Bandung</dc:publisher>
	<dc:date>2018-06-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jets/article/view/6576</dc:identifier>
	<dc:identifier>10.5614/j.eng.technol.sci.2018.50.2.9</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Engineering and Technological Sciences; Vol. 50 No. 2 (2018); 291-313</dc:source>
	<dc:source>2338-5502</dc:source>
	<dc:source>2337-5779</dc:source>
	<dc:source>10.5614/j.eng.technol.sci.2018.50.2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jets/article/view/6576/3391</dc:relation>
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