A New Method to Quantify Carbonate Rock Weathering

Dubois, Caroline; Deceuster, John; Kaufmann, Olivier; Rowberry, Matt

doi:10.1007/s11004-014-9581-7

Cited by 10 publications

(3 citation statements)

References 36 publications

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“…Klasifikasi dari batu gamping tidak hanya dari jenisnya saja yaitu, dolomite dan Limestone. Tetapi ada klasifikasi terkait tingkat kelapukan dari batuan karbonat berdasarkan analisa sayatan [5]. Batu karbonat yang memiliki kelapukan yang tinggi ditandai oleh persentase Carbonate Rock Weathering (CRW) yang berkaitan dengan densitas dan porositasnya serta dihitung berdasarkan berkurangnya kandungan Kalsit pada batuan Karbonat,…”

Section: A Karakteristik Batuan Karbonatunclassified

“…Dalam lingkungan lubang bor dan laboratorium, hal yang dapat dipelajari melalui fisika batuan ada mineralogi, porositas, bentuk pori, fluida pori, tekanan pori, permeabilitas, viskosits, tegasan, laminsi, dan rekahan. Fisika batuan menyediakan pemahaman serta alat bantu untuk mendapat gambaran dan solusi karakterisasi berdasarkan data elastic [5].…”

Section: B Parametetr Fisis Batuanunclassified

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Analisis Sifat Batuan Karbonat untuk Evaluasi Bahan Timbunan

Putra¹,

Utama²,

Syaifuddin³

2020

JTITS

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Faktor yang memengaruhi strategi dan proses pembangunan infrastruktur adalah jenis lapisan tanah pada wilayah pembangunan. Lapisan tanah yang didominasi lempung, yang memiliki nilai faktor keamanan kecil, tidak aman untuk dibangun infrastruktur. Faktor keamanan pada tanah itu dapat ditingkatkan dengan cara konsolidasi berupa penimbunan bahan timbunan. Tetapi dengan adanya perlakuan tersebut akan menyebabkan penurunan tanah (Settlement). Sehingga penilitian ini bertujuan untuk klasifikasi parameter fisis batuan Karbonat yang digunakan sebagai bahan penimbun tersebut serta pengaruhnya terhadap penurunan tanah. Dengan mengetahui distribusi setiap parameter fisisnya seperti densitas, porositas, kompresibilitas dan resistivitas, jenis batuan dapat diklasifikasikan menjadi beberapa kelas. Metode klasifikasi yang digunakan adalah Gaussian Mean Mixture dimana pada hasilnya memberikan klasifikasi optimal dengan jumlah 2 jenis. Hasil klasifikasi berdasarkan nilai kompresibilitasnya adalah 1.0526 x 10-7 per pascal dan 2.484 x 10-7 per pascal. Sedangkan dari pemodelan menggunakan batuan yang diklasifikasikan, didapatkan bahwa pencampuran kedua jenis batuan memberikan kualitas timbunan yang baik dimana memberikan konsolidasi 100% dengan penurunan tanah sebesar 138.4 mm.

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Section: A Karakteristik Batuan Karbonatunclassified

Section: B Parametetr Fisis Batuanunclassified

Analisis Sifat Batuan Karbonat untuk Evaluasi Bahan Timbunan

Putra¹,

Utama²,

Syaifuddin³

2020

JTITS

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“…Due to the development of microporosity and suction phenomena, the weathering process in isalterite results in a high saturation ratio, leading to a significant decrease in bulk electrical resistivity. Geoelectrical methods are therefore among the most effective to detect and map karstic structures (Dubois et al, 2015). Resistivity values lower than 50 Ω.m generally correspond to silts and clayey sands at the surface and to highly weathered limestone at depth.…”

Section: Karst Characterizationmentioning

confidence: 99%

3D Electrical Resistivity Tomography of Karstified Formations Using Cross-Line Measurements

Horde

Hermans

Dumont

et al. 2017

Lecture Notes in Civil Engineering

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19The acquisition of a full 3D survey on a large area of investigation is difficult, and from a 20 practitioner's point of view very costly. In high-resolution 3D surveys, the number of electrodes 21 increases rapidly and the total number of electrode combinations becomes very large. In this 22 paper, we propose an innovative 3D acquisition procedure based on the roll-along technique. It 23 makes use of 2D parallel lines with additional cross-line measurements. However, in order to 24 increase the number of directions represented in the data, we propose to use cross-line 25 measurements in several directions. Those cross-line measurements are based on dipole-dipole 26 configurations as commonly used in cross-borehole surveys. We illustrate the method by 27 investigating the subsurface geometry in a karstic environment for a future wind turbine project. 28We first test our methodology with a numerical benchmark using a synthetic model. Then, we given its sensitivity to electrical resistivity, where the 3D nature of the dissolution processes 72 makes the 2.5D hypothesis of the subsurface much weaker than for fault imaging for example. 73In most cases, the acquisition of a full 3D survey on a large area of investigation is difficult and, 74from a practitioner's point of view, very costly. In high-resolution 3D surveys, the number of 75 electrodes increases rapidly and the total number of electrode combinations becomes very large. 76Even with multi-channel acquisition systems, the time to acquire a complete data set is 77 prohibitive and even impossible as most systems can only handle a limited number of electrodes, 78and only through costly extensions to the main unit. In most applications, 3D surveys with a 79 substantial number of electrodes (more than 100) are not full 3D informative surveys but limit 80 the directions in which data is acquired to the two main directions and the cross-diagonal (e.g.,

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Comprehensive critical mechanical model of covered karst collapse under the effects of positive and negative pressure

Wei

Sun

2017

Bull Eng Geol Environ

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A New Method to Quantify Carbonate Rock Weathering

Cited by 10 publications

References 36 publications

Analisis Sifat Batuan Karbonat untuk Evaluasi Bahan Timbunan

Analisis Sifat Batuan Karbonat untuk Evaluasi Bahan Timbunan

3D Electrical Resistivity Tomography of Karstified Formations Using Cross-Line Measurements

Comprehensive critical mechanical model of covered karst collapse under the effects of positive and negative pressure

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