Aquifer Characterization and Groundwater Potential Evaluation in Sedimentary Rock Formation

Ashraf, Muhammad; Yusoh, Rais; Sazalil, M. A.; Abidin, Mohd Hazreek Zainal

doi:10.1088/1742-6596/995/1/012106

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…This result is supported by a prior study from Nazri et al (2012) which found that Bagan Serai is based on material that has low resistivity reaching a thickness of 120 m. From the result in Figure 3(b), the low resistivity values of 50-500 Ωm at a depth of 0-38 m indicate the presence of alluvium sediment in that area as recorded in available well lithology and supported by the studies from Nazri et al (2012), Riwayat (2018), andZawawi et al (2011) which discovered the underlying sand at a depth of about 18-39 m in Bukit Merah. The zone with resistivity values of 500-2000 Ωm at depth of 38-51 m is linked to the shale layer with referencing to the nearby well logs (Jasin & Harun, 2007;Ashraf et al, 2018). The conglomerate rock with the resistivity values of 2000-5000 Ωm had formed at a depth of 51-85 m as mentioned by Jasin and Harun (2007).…”

Section: Ert Profile Interpretation Of Resistivity Surveymentioning

confidence: 96%

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: 96%

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

2021

JAFE

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“…2D resistivity and seismic refraction have become one of the most common methods used in shallow subsurface investigations. They have been implemented to delineate geological faults (Saetang et al 2014;Nur Amalina et al 2017;Nyabeze et al 2018), finding groundwater (Moustafa et al 2013, Ashraf et al 2018Azhar et al 2019), and characterize subsurface and identifying the type of soil (Hazreek et al 2015;Mad Said et al 2015;Al-Heety and Shanshal 2016;Akip Tan et al 2018). 2D resistivity method is susceptible to the distribution of electrical resistivity in the subsurface.…”

Section: Introductionmentioning

confidence: 99%

Soil Classification From Resistivity and P-Wave Seismic Velocity With Support of Particle Size Distribution (Psd) Analysis

Abdullah¹,

Ismail²,

Roslan³

et al. 2022

Proceedings of the 5th International Conference of Geological Engineering Faculty

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It is encouraged to use more than one geophysical method when conducting a field survey. It can help improve the subsurface interpretation and reduce the ambiguity inherent from inversion of geophysical method. 2D resistivity and seismic refraction methods were conducted to map and characterize the subsurface at Desasiswa Indah Kembara, Universiti Sains Malaysia, Pulau Pinang. The inversion profile shows that the subsurface has two zones with a resistivity value of 150-500 Ω m (Zone A) and 5-100 Ωm (Zone B). On the other hand, the subsurface velocity is 0.3-0.6 km/s (Zone A) and 0.75-1.5 km/s (Zone B). However, the standard reference tables of resistivity and velocity value of soil and rock show variation and overlapping values that can affect the interpretation process. Therefore, additional information is important to support geophysical interpretation. Geological method such as particle size distribution (PSD) analysis (hydrometer analysis and mechanical sieving) was conducted to assist the interpretation. Percentage of clay, silt, and sand can be obtained through the PSD graph and used for soil classification. The value of total dissolved solids (TDS) and salinity of the area are also taken on-site for the saturated area with resistivity value of 20 Ωm at a depth of 2 m. The area has TDS (138-146 mg/L), and salinity (0.007 PSU) values indicating the fresh porefluid characteristics. Resistivity and seismic inversion profile manage to show the underlying subsurface layers. Results from PSD analysis also has supported the interpretation of the geology of the study area where Zone A was identified as silty sand, and Zone B is identified as silt and clay.

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“…Sedimentary rocks exhibit these properties due to their mode of occurrence and emplacement. Sedimentary deposits maintain primary porosity that determines their storage and permeability to a great extent (Ashraf et al 2018) which tends to make them exhibit good aquifer potential as compared to basement complex aquifers. The crystalline nature of the basement complex's metamorphic and igneous rocks satisfies none of these requirements.…”

Section: Introductionmentioning

confidence: 99%

Aquifer evaluation in parts of north-central Nigeria from geo-electrical derived parameters

Naiyeju¹,

Oladunjoye

Adeniran

2021

Appl Water Sci

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In order to reduce the level of risk associated with borehole drilling, it is important to have detailed knowledge about the aquifer distribution. In a view to generating groundwater potential model of Lokoja and its environs, the detailed subsurface characterization was carried out using a GIS-based multi-criteria decision analysis approach. One hundred and twenty-four vertical electrical sounding (VES) data points were covered within the study area using the Schlumberger array of electrical resistivity surveys. Hydrogeological investigation of one hundred and twenty-four existing boreholes within the vicinity of the sounded VES points was carried out by measuring in situ parameters of each borehole such as borehole depth, elevation, static water level and borehole yield. A Multi-Criteria Decision Analysis-Analytical Hierarchy Process (MCDA)-AHP-based was carried out by estimating the probabilistic ratings for the classes of parameters used for modeling groundwater potential. Four groundwater potential influencing factors, namely coefficient of anisotropy, transverse resistance, aquifer resistivity and aquifer thickness, were classified and rated. The output of the multi-criteria decision analysis was processed in the GIS environment to produce a groundwater potential index map. The obtained model was validated by comparing it with in situ borehole yield data to determine the accuracy of the proposed model. The groundwater potential map generated classified the study area into low, medium and high yield zones. Areas with medium potential zones dominate the largest part of the with 66% area coverage, and the dominance of these zones was visible in the northern and western part of the study area. Areas with high groundwater potential exist toward the southern and eastern sections of the study area. This area was observed to be underlined with sandstone, siltstone and migmatite. The validation exercise carried out on the proposed model reveals a 70% prediction accuracy.

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Aquifer Characterization and Groundwater Potential Evaluation in Sedimentary Rock Formation

Cited by 7 publications

References 3 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

Soil Classification From Resistivity and P-Wave Seismic Velocity With Support of Particle Size Distribution (Psd) Analysis

Aquifer evaluation in parts of north-central Nigeria from geo-electrical derived parameters

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