Modeling Spatial Distribution of 3D Isotropic Hydraulic Conductivity Based on HC-System for Fractured Groundwater Flow Media using Neural Network Case Study Grasberg Open Pit of PTFI

Cahyadi, Tedy Agung; Widodo, Lilik Eko; Iskandar, Irwan; Sukaerang, None; Suyono, '

doi:10.31227/osf.io/u5ey7

Cited by 1 publication

(7 citation statements)

References 2 publications

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“…Data from 441 drill holes have been analysed in detail, so that it can be used to determine the relationship between hydrogeological, geological and geotechnical condition. Following Cahyadi et al (2015), hydraulic conductivity at drill holes were distributed by HC-System using equation K = 2 x 10 -6 x HC 0,5571 .…”

Section: Methodology 31 Hydrogeological Data Collectionmentioning

confidence: 99%

“…It means that GCD does not present on core run. It has been assumed to be proportional with RQD (Cahyadi et al, 2015). Accordingly, when RQD value is greater, 90%-100%, the permeability decreases then the GCD value is set to be within 0,9-1.…”

Section: Hc-systemmentioning

confidence: 99%

“…To assess the influence of lithology on permeability, a lithology permeability index (LPI) was defined as shown in Table 2 according Hsu et al (2011). Table 2 Rating for LPI values based on lithology in the study area (Cahyadi et al, 2015) …”

Section: Hc-systemmentioning

confidence: 99%

“…Based on HC-System, hydraulic conductivity at drill holes can be estimated (Cahyadi et al, 2015). Two partitional clusters method were performed in this study.…”

Section: Clusteringmentioning

confidence: 99%

“…Based on the results of drilling activities at Grasberg mine, a lot of information can be described for characterization of the hydrogeological conditions. Accordingly, by using HC-System (Hsu et al, 2011), 441 information from geotechnical drilling or as much as 4,850 points of data have been used to model hydraulic conductivity distribution based on RQD, LPI, DI, GCD data (Cahyadi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Application of Clustering System to Analyze Geological, Geotechnical and Hydrogeological Data Base according to HC-System Approach

Widodo¹,

Cahyadi²,

Notosiswoyo³

et al. 2017

Preprint

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Highly fractured rocks at Grasberg Mining in PT Freeport Indonesia (PTFI) lead to fractured groundwater flow media. Hydraulic conductivity of fractured rock has more complexity than that of porous rocks media. In this study, hydraulic conductivity (K) has been estimated according to HC-System based on Rock Quality Designation (RQD), Lithology Permeability Index (LPI), Depth Index (DI) and Gouge Content Designation (GCD). Numerical model of HC-System at Grasberg Mining in general can be expressed by the equation K = 2 x 10 -6 x HC 0.5571 . The RQD data can be grouped into three ranges, i.e. first group that dominates over 80 % of the RQD data with K ranging between 1.9x10 -8 -2.3x10 -7 m/s, second group that is within 40 -80% of the RQD data with K falling between 2x10 -8 -7.2x10-7 m/s, and third group that takes part less than 40 % of RQD data with K ranging between 2.1x10 -8 -1.9x10 -6 m/s. Based on the lithology, the hydraulic conductivity of rocks can be assinged as follows: igneous rock with K ranging 6.8x10 -8 -1.9x10 -7 m/s, and sedimentary rock with K ranging 2.2x10 -8 -1.9x10 -6 m/s. HC-System demonstrates good interpretation of hydraulic conductivity by means of clustering method, which uses geological and geotechnical data for hydrogeological characterization.

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Section: Methodology 31 Hydrogeological Data Collectionmentioning

confidence: 99%

Section: Hc-systemmentioning

confidence: 99%

Section: Hc-systemmentioning

confidence: 99%

“…Based on HC-System, hydraulic conductivity at drill holes can be estimated (Cahyadi et al, 2015). Two partitional clusters method were performed in this study.…”

Section: Clusteringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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