Statistical Estimation of Soil Parameters in from Cross-Plots of S-Wave Velocity and Resistivity Obtained by Integrated Geophysical Method

Hayashi, Koichi; Inazaki, Tomio; Kitao, Kaoru; Kita, Takaho

doi:10.1007/978-3-030-27367-5_1

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…(1) In the future, artificial intelligence methods will be used to conduct dimensionality reduction-assisted logging cross-plot evaluation for logging high-end imaging data [43][44][45][46]. (2) Make full use of offset well information and other results data and interpretation parameters to achieve quantitative interpretation of crossplots [47,48].…”

Section: Discussionmentioning

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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Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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“…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%

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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Active and passive seismic surface wave methods for levee assessment in the Sacramento–San Joaquin Delta, California, USA

Craig

Hayashi²,

Kozaci³

2021

Near Surface Geophysics

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Seismic surveys were performed using a novel application of combined active and passive surface wave methods to evaluate the integrity of levees protecting islands in the Sacramento-San Joaquin Delta, California, USA, from flooding. Delta islands have been undergoing rapid subsidence during the past century due to farming practices that have led to the loss of a surficial peat layer. A large earthquake on any one of several active faults in the region could cause multiple levee failures and extensive flooding in the Delta. Surface wave surveys were carried out along the crest of levees using the active method (2D multichannel analysis of surface waves) and along the base of levees using the passive method (microtremor array method). This allowed 2D seismic S-wave velocity (V S ) profiles to be prepared for each site by combining shallow data from the active survey along the crown of the levee with deeper data from a passive survey along the toe of the levee. TheseV S profiles reveal a low-velocity peat layer beneath the levee body that was confirmed by geotechnical borehole logs. Lateral variability of the levee was evaluated using average velocity to the base of the levee versus along-levee distance.

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Statistical Estimation of Soil Parameters in from Cross-Plots of S-Wave Velocity and Resistivity Obtained by Integrated Geophysical Method

Cited by 4 publications

References 12 publications

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

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

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

Active and passive seismic surface wave methods for levee assessment in the Sacramento–San Joaquin Delta, California, USA

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