Application of Seismic Refraction and Electrical Resistivity Cross-Plot Analysis: A Case Study at Francis Levee Site

Wodajo, Leti; Hickey, Craig J.; Brackett, Thomas C.

doi:10.1007/978-3-030-27367-5_2

Cited by 3 publications

(5 citation statements)

References 34 publications

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“…Cross-plot analysis has been widely utilized to evaluate and delineate geological formation and lithology in the oil and gas industry [ [57] , [58] , [59] ]. Many geophysical parameters from borehole logging, such as seismic velocity, nuclear radiation, and resistivity have been input to determine and characterize lithological reservoir [ 60 ]. Hayashi and Konishi (2010) have shown a cross-plot analysis of S-wave velocity and resistivity values for levee assessment [ 61 ].…”

Section: Geophysical Data Acquisition and Data Processingmentioning

confidence: 99%

“…The cross-plot analysis reveals the effectiveness on the evaluation of seepage and erosion of levee. Moreover, Wodajo et., al (2019) used cross-plot analysis of P-wave velocity and electrical resistivity values to evaluate vulnerability of a dam or levee [ 60 ]. The cross-plot analysis based on their values can classify the soil type and assess the degree of compaction of the dam or levee [ 60 ].…”

Section: Geophysical Data Acquisition and Data Processingmentioning

confidence: 99%

“…Here, a novel approach to cross-plot analysis based on the previous Hayashi model [ 60 ] has been introduced to enhance the resolution of subsurface structure in landslide area by integrating two distinct P-wave velocity and resistivity values. It involves examining the resistivity and P-wave velocity values extracted from the ERT and SRT models at identical points along all surveyed lines.…”

Section: Geophysical Data Acquisition and Data Processingmentioning

confidence: 99%

“…In landslide assessment, the 2D cross-plot analysis of P-wave velocity and resistivity values can improve subsurface resolution, facilitating the identification of slipping regions and the characterization of triggering factors contributing to slope fialure in this study [ [31] , [32] , [33] ]. The research area is Thungsong landslide (located in Nakhon Si Thammarat province, the south of Thailand ( Fig.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Landslide assessment through integrated geoelectrical and seismic methods: A case study in Thungsong site, southern Thailand

Sujitapan,

Kendall,

Chambers

et al. 2024

Heliyon

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Section: Geophysical Data Acquisition and Data Processingmentioning

confidence: 99%

Section: Geophysical Data Acquisition and Data Processingmentioning

confidence: 99%

Section: Geophysical Data Acquisition and Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Landslide assessment through integrated geoelectrical and seismic methods: A case study in Thungsong site, southern Thailand

Sujitapan,

Kendall,

Chambers

et al. 2024

Heliyon

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“…In July, Un Young Lim, Richard L. Gibson, and others [15] proposed a new method of crossplots based on the Zoeppritz equation, and applied this method to the estimation of total organic carbon (TOC) content in shale. In November, Leti T. Wodajo [16], discussed the use of crossplot analysis combined with laser resistivity tomography and seismic refraction tomography to assess the integrity of earth dykes and dykes applied to the Francis Levee site Geophysical surveys conducted. In 2020, Dr Muhsan Ehsan et al [17] used the Talhar shale as an example to identify lithofacies and clay mineralogy types through crossplots.…”

Section: Introductionmentioning

confidence: 99%

A Visualization and Analysis Method by Multi-Dimensional Crossplots from Multi-Well Heterogeneous Data

et al. 2022

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Crossplot is an important tool for data visualization analysis in well logging processing and interpretation. Generally, the color of the points in the crossplot is calibrated by the data to improve the plane crossplot from two dimensions (2D) to three dimensions (3D). However, this method is limited to the logging data. In many cases, it is necessary to use crossplots for comprehensive evaluation with the well logging, geology, mud logging, and oil testing data, or to deeply analyze the data from multiple wells and multiple layers. The traditional crossplots cannot meet the demands. To expand the traditional crossplot to multiple dimensions, we proposed an augmented-dimensional visualization and analysis method by the crossplot with multi-well and multi-dimensional heterogeneous data, which is developed based on the traditional crossplots. Firstly, we built the match matrix of the augmented-dimensional heterogeneous data from different depths and set up the crossplots of the heterogeneous data after depth normalization. In this way, the attribute calibrations of the points in the crossplots by logging data were realized, and the auxiliary figures of the augmented-dimensional crossplots were established. In addition, the crossplots were expanded to more dimensions by collaborative analysis of the multiple crossplots and synchronous display in different single-well and multi-well modules with the feature points projection. Secondly, we established the display method of the crossplots from multi-well data by quadtree index. The display and interaction performance of the augmented-dimensional crossplots under the conditions of large amount of data from multiple wells were greatly improved by optimizing the overlapped and covered points in the crossplots. This method can provide more information about the reservoirs and realize the comprehensive well logging comparison, analysis, and visualization from different views. It has been developed and integrated into a CIFLog software platform and has been widely used in many domestic oilfields.

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Assessing Leachate Migration and Gas Emissions in Landfill Sites Using Seismic and Electrical Resistivity Tomography (ERT) Methods

Molua

2022

JEIMP

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Other environmental concerns include the permeation of non-sanitary fill-related leachate or gas. This paper will validate these concerns using seismic and electrical resistivity tomography (ERT) techniques. We collect data at different depths of the dump sites using survey methods such as seismic and electrical resistivity tomography. We implemented the seismic reflection approach for the comprehensive seismic wave velocity studies and applied the ERT method to determine the electrical resistivity. We also used the chemical analysis laboratory to quantify the amount of leachate present in the water samples. The data analysis yielded several significant conclusions. At a depth of 75 meters, electrical resistivity fell from 120.123 Ohm-m to 5 meters. P-wave velocity dropped throughout the same depth range, from 1500.123 m/s to 1150.456 m/s. The leachate conductivity increased from 1.234 mS/cm to 4.234 mS/cm, suggesting that the deeper depths had higher pollutant levels. We observed a linear increase in methane concentrations with water depth, rising from 10.123 ppm to 24.456 ppm. The joint use of seismic and ERT was necessary because, while seismic studies aid in understanding the subsurface conditions of a landfill and their temporal changes, only seismic and ERT can evaluate properties such as soil properties, leachate dispersion, and methane emissions. These results improve our knowledge of landfill dynamics and open the door to more practical management approaches, adding to the corpus of existing information.

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Application of Seismic Refraction and Electrical Resistivity Cross-Plot Analysis: A Case Study at Francis Levee Site

Cited by 3 publications

References 34 publications

Landslide assessment through integrated geoelectrical and seismic methods: A case study in Thungsong site, southern Thailand

Landslide assessment through integrated geoelectrical and seismic methods: A case study in Thungsong site, southern Thailand

A Visualization and Analysis Method by Multi-Dimensional Crossplots from Multi-Well Heterogeneous Data

Assessing Leachate Migration and Gas Emissions in Landfill Sites Using Seismic and Electrical Resistivity Tomography (ERT) Methods

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