Stratigraphy Identification with Emphasis to Shells Layer using 2-D Electrical Resistivity Method at Guar Kepah, Penang

Rosli, Najmiah; Mansor, Hafizuddin; Ismail, Nur Azwin; Masnan, S S K; Saidin, Mokhtar

doi:10.1088/1742-6596/995/1/012085

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…Based on Figure 3(a), the resistance values in the ERT profile of Well P1 have a low resistance of less than 500 Ωm. This may be related to the alluvium deposit material of the Beruas Formation (Rosli et al, 2018). From the result in Figure 3(a), sandy clay with resistance values of 50-100 Ωm is existed at a depth of 66-96 m due to the presence of sand that raised the values of resistivity in the study area.…”

Section: Ert Profile Interpretation Of Resistivity Surveymentioning

confidence: 84%

“…Based on cross-section A-A' and B-B', Tanjong Piandang, Kuala Gula, Kuala Kurau, and Bagan Serai are dominated by unconsolidated deposits on the top layer due to the locations of the areas that are close to the coastal region. This may be associated with the alluvial of Gula Formation and Beruas Formation that had been studied by Rosli et al (2018). The thickness of the sedimentary layer was increased in Bagan Serai and Semanggol due to the sedimentary rock of the Semanggol Formation exposed in northern Perak (Jasin & Harun, 2007).…”

Section: Lithological Layer and Thicknessmentioning

confidence: 90%

“…Lastly, granite has been found as the bedrock layer of the model. Based on cross-section C-C' and D-D', the unconsolidated deposit layer forms the first layer of the area along Selinsing, Kuala Kurau, Parit Buntar, and Bagan Serai with a minimum thickness of about 50 m. This may be associated with the alluvial geologic of the Gula Formation exposed as discussed by Rosli et al (2018) and Dor et al (2011). The cross-section of E-E' shows a slight difference when the unconsolidated deposit is minimal in Gunong Semanggol but the thickness was increased when heading towards Bukit Merah.…”

Section: Lithological Layer and Thicknessmentioning

confidence: 94%

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Delineation of Lithological Formation in Bukit Merah, Semanggol, Perak Using Groundwater Modelling Software

2021

JAFE

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The knowledge of lithological formation is important to determine the potential aquifer for water resources management. This study aims to delineate the lithological formation of Bukit Merah, Semanggol using geological data. The preparation of lithological formation in the study was based on several factors such as electrical resistivity survey data, available well lithologies, geological map, and geological-related studies in the study area. The Electrical Resistivity Tomography (ERT) profile produced from the resistivity survey was interpreted based on previous studies to determine the subsurface materials on the location. The estimation of soil lithology for the remaining wells was done to generate the overall subsoil pattern in the study area. A total of 15 types of soil were classified to represent the actual lithology in the study area. The simplification of the actual lithology was carried out based on rocks and soils group. The elevation of the ground surface and each soil layer were imported into Visual MODFLOW software, then the interpolation of elevation points was done. Two interpolators; Kriging and Natural Neighbouring were used to generate ground surface and model layers similar to the topography in the study area. As a result, it has been identified that the study areas consist of 4 main layers of lithological formation which are unconsolidated deposit, sedimentary, metamorphic, and granite. The upper layer is dominated by unconsolidated with a maximum thickness of about 150 m in the coastal area. Hence, it is concluded that the unconsolidated deposit layer in Bukit Merah is highly potential with groundwater resources in the alluvium aquifer at the upper layer which has the potential to be developed for purpose of irrigation in a paddy field in the Kerian area.

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Section: Ert Profile Interpretation Of Resistivity Surveymentioning

confidence: 84%

Section: Lithological Layer and Thicknessmentioning

confidence: 90%

Section: Lithological Layer and Thicknessmentioning

confidence: 94%

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Delineation of Lithological Formation in Bukit Merah, Semanggol, Perak Using Groundwater Modelling Software

2021

JAFE

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“…Griffiths and Barker 1993; Rosli et al . 2018). For this study, Wenner–Schlumberger electrode array was chosen due to its high sensitivity to horizontal and vertical resolutions and relatively low root‐mean‐square (RMS) error compared with other electrode arrays (e.g.…”

Section: Methodology: Spycrid's Workflowmentioning

confidence: 99%

“…This concept is then applied for 41 electrodes, where an electronic switching unit (ABEM ES 10-64) controls the relevant four electrodes for each resistivity measurement to give a dense data set over a large area of coverage (e.g. Griffiths and Barker 1993;Rosli et al 2018). For this study, Wenner-Schlumberger electrode array was chosen due to its high sensitivity to horizontal and vertical resolutions and relatively low root-mean-square (RMS) error compared with other electrode arrays (e.g.…”

Section: E T H O D O L O G Y: S P Y C R I D 'S Wo R K F L Owmentioning

confidence: 99%

An unconventional method for calculating porosity of marine clay deposits using the 2D resistivity method

Rosli

Saad

Rahman

et al. 2020

Near Surface Geophysics

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Various methods were earlier designed to calculate porosity of a formation, but many of them are reliant on physical soil sampling and/or laboratory measurements. The present work examines a recently proposed method, which we call here as Sample-free Porosity Calculation from Resistivity Imaging Data (SPyCRID), to calculate porosity of unconsolidated soils. By conjoining Archie's and Waxman-Smits' equations, SPy-CRID can achieve high accuracy in porosity calculation, while requiring no physical soil-sampling data. Two-dimensional resistivity data acquired at Segantang Garam were modelled to calibrate SPyCRID's workflow and to devise data constraints for marine clay and brackish pore-fluid conditions. Measured porosities from soil samples were used only for calibration and validation purposes. With data transformation added into the workflow, the performance of SPyCRID was improved as it was possible to achieve more precise value for the calculated porosity (error ≤3.1%). The final step to establish SPyCRID's competency was implemented through testing SPy-CRID at the Nibong Tebal test site that has similar geological conditions to the model. Results from this test site showed nominal errors (≤3.9%) in the calculated porosity. SPyCRID could successfully calculate the porosity of the unconsolidated, marine clayey soils with a confidence limit exceeding 96%, while requiring no physical sampling data.

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Shoreline Fluctuations Mark the Beginning and the Ending of Prehistoric Human Habitation at Guar Kepah, Malaysia

Rosli

Rahman

et al. 2020

The Journal of Island and Coastal Archaeology

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Stratigraphy Identification with Emphasis to Shells Layer using 2-D Electrical Resistivity Method at Guar Kepah, Penang

Cited by 3 publications

References 2 publications

Delineation of Lithological Formation in Bukit Merah, Semanggol, Perak Using Groundwater Modelling Software

Delineation of Lithological Formation in Bukit Merah, Semanggol, Perak Using Groundwater Modelling Software

An unconventional method for calculating porosity of marine clay deposits using the 2D resistivity method

Shoreline Fluctuations Mark the Beginning and the Ending of Prehistoric Human Habitation at Guar Kepah, Malaysia

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