Rock Mass Hydraulic Conductivity Estimated by Two Empirical Models

Hsu, Shih-Meng; Lo, Hung-Chieh; Chi, Shue‐Yeong; Ku, Cheng-Yu

doi:10.5772/15669

Cited by 8 publications

(26 citation statements)

References 17 publications

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“…Data collection consisted of hydraulic conductivity tests by packer test, slug test and geotechnical log data from drill holes. Hsu, et al [6] and Iskandar, et al [17] used packer tests to develop empirical models of hydraulic conductivity. Following the previous researches, this study was aimed at developing the following five alternative empirical models:…”

Section: Methodsmentioning

confidence: 99%

“…Since Hsu, et al [6] used only vertical boreholes, vertical transformation was performed for inclined boreholes in this study. This method was also applied by Iskandar, et al [17].…”

Section: Lithology Permeability Index (Lpi)mentioning

confidence: 99%

“…Following Hsu, et al [6], L T is the total length of the borehole; L c is the depth located at the middle of the observation test interval in the borehole. Since Hsu, et al [6] used only vertical boreholes, vertical transformation was performed for inclined boreholes in this study.…”

Section: Lithology Permeability Index (Lpi)mentioning

confidence: 99%

“…The LPI index for the Grasberg Mine was developed according to Singhal and Gupta [19], Spitz and Moreno [20], Bear [21], Hsu, et al [6]. The rating of LPI values for the Grasberg Mine is listed in Table 1.…”

Section: Lithology Permeability Index (Lpi)mentioning

confidence: 99%

“…In order to reduce the costs, a new method predicting hydraulic conductivity distribution was successfully applied by comparing in-situ packer test data with geotechnical drill log data, such as rock quality designation (RQD), lithology permeability index (LPI), depth index (DI) and gouge content index (GCI). This method was developed by Hsu, et al [6] and is called HC-system.…”

Section: Introductionmentioning

confidence: 99%

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Hydraulic Conductivity Modeling of Fractured Rock at Grasberg Surface Mine, Papua-Indonesia

Cahyadi

Widodo

Syihab

et al. 2017

J. Eng. Technol. Sci.

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Abstract. Packer tests and slug tests were conducted at 49 points at the Grasberg surface mine, Indonesia to obtain hydraulic conductivity data. The HC-system approach, which relies on rock quality designation, lithology permeability index, depth index, and gouge content designation, was applied. Geotechnical drill holes in 441 locations, consisting of 4,850 points of information, were used to determine the K values using the equation K = 2x10-6 x HC 0.5571 . The K values, which were within the range of 10 -8 and 10 -5 m/s, were distributed into five alternative 3D distributions using Ordinary Kriging (OK) and Artificial Neural Network (ANN). The result of the ANN modeling showed that some of the K values, with log K varying from -10.51 m/s to -3.09 m/s, were outside the range of the observed K values. The OK modeling results of K values, with log K varying from -8.12 m/s to -5.75 m/s, were within the range of the observed K values. The ANN modeled K values were slightly more varied than the OK modeled values. The result of an alternative OK modeling was chosen to represent the existing data population of flow media because it fits well to the geological conditions.

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Section: Methodsmentioning

confidence: 99%

“…Since Hsu, et al [6] used only vertical boreholes, vertical transformation was performed for inclined boreholes in this study. This method was also applied by Iskandar, et al [17].…”

Section: Lithology Permeability Index (Lpi)mentioning

confidence: 99%

Section: Lithology Permeability Index (Lpi)mentioning

confidence: 99%

Section: Lithology Permeability Index (Lpi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hydraulic Conductivity Modeling of Fractured Rock at Grasberg Surface Mine, Papua-Indonesia

Cahyadi

Widodo

Syihab

et al. 2017

J. Eng. Technol. Sci.

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Analytical methods to estimate the hydraulic conductivity of jointed rocks

et al. 2021

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Field surveys in heterogeneous rock masses aimed at hydraulic conductivity assessment

Chicco,

Comina,

Mandrone

et al. 2023

SN Appl. Sci.

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In heterogeneous and fractured rock masses, joints are the most important elements controlling the hydraulic conductivity. Joints parameters are therefore crucial for estimating transport of mass and energy in many technical problems (e.g., slope stability, tunnels, geothermal and oil and gas studies). Hydraulic conductivity conceptual models follow well understood generalizations, but their quantitative estimation is not simple. Both laboratory and field tests have many limitations due to representativeness and scale effects. This study proposes a methodology for a preliminary hydraulic conductivity estimation in fractured and/or heterogeneous rock masses through a combination of in-situ geomechanical and geophysical measurements. Contact and no-contact geomechanical surveys were coupled with electric resistivity topographies in two selected test sites within a Mexican geothermal area in the framework of the Ge-Mex H2020 project. The test sites are representative of two different geological settings: a faulted rock mass with expected high hydraulic conductivity in proximity of the faulted areas and an abandoned marble quarry, with very good mechanical characteristics and negligible degree of fracturing. Moreover, both of them are located in remote areas with limited accessibility, in which rapid, time and cost-effective procedures are welcomed and recommended. The preliminary findings of this study were promising: estimated hydraulic conductivities were compared with independent laboratory measurements performed by other researchers showing a good correspondence and reliability. The proposed methodology demonstrated its reliability in decision making, in the technical support and its economical applicability also in similar difficult logistic situations. Article Highlights A combination of in-situ geomechanical and geophysical measurements was adopted for a preliminary hydraulic conductivity estimation; Obtained field data were compared with independent laboratory estimations to assess the reliability of the proposed approach and compare representativeness and scale effects; Even given the difficult logistic conditions and the limitations of the available comparisons the proposed methodology demonstrated its reliability in decision making.

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Rock Mass Hydraulic Conductivity Estimated by Two Empirical Models

Cited by 8 publications

References 17 publications

Hydraulic Conductivity Modeling of Fractured Rock at Grasberg Surface Mine, Papua-Indonesia

Hydraulic Conductivity Modeling of Fractured Rock at Grasberg Surface Mine, Papua-Indonesia

Analytical methods to estimate the hydraulic conductivity of jointed rocks

Field surveys in heterogeneous rock masses aimed at hydraulic conductivity assessment

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