Three-dimensional hydrogeological modeling method and application based on TIN-GTP-TEN

He, Liang; Zhang, Junru; Chen, Suozhong; Hou, Manqing; Chen, Junyi

doi:10.1007/s12145-021-00727-x

Cited by 10 publications

(6 citation statements)

References 26 publications

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“…The noise levels are interpolated as horizontal slices along the vertical direction in 3D kriging. Furthermore, the 3D voxel embedded with 3D kriging shows a significant noise visualization in 3D space [37].…”

Section: Noise Observation Points (Nops)mentioning

confidence: 97%

Calculation of Road Traffic Noise, Development of Data, and Spatial Interpolations for Traffic Noise Visualization in Three-dimensional Space

Wickramathilaka,

Ujang,

Azri

et al. 2023

GaEE

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Road traffic noise visualization is vital in three-dimensional (3D) space. Designing noise observation points (NOPs) and the developments of spatial interpolations are key elements for the visualization of traffic noise in 3D. Moreover, calculating road traffic noise levels by means of a standard noise model is vital. This study elaborates on the developments of data and spatial interpolations in 3D noise visualization. In 3D spatial interpolation, the value is interpolated in both horizontal and vertical directions. Eliminating flat triangles is vital in the vertical direction. Inverse distance weighted (IDW), kriging, and triangular irregular network (TIN) are widely used to interpolate noise levels. Because these interpolations directly support the interpolation of three parameters, the developments of spatial interpolations should be applied to interpolate noise levels in 3D. The TIN noise contours are primed to visualize traffic noise levels while IDW and kriging provide irregular contours. Further, this study has identified that the TIN noise contours fit exactly with NOPs in 3D. Moreover, advanced kriging interpolation such as empirical Bayesian kriging (EBK) also provides irregular shape contours and this study develops a comparison for such contours. The 3D kriging in EBK provides a significant approach to interpolate noise in 3D. The 3D kriging voxels show a higher accurate visualization than TIN noise contours.

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Section: Noise Observation Points (Nops)mentioning

confidence: 97%

Calculation of Road Traffic Noise, Development of Data, and Spatial Interpolations for Traffic Noise Visualization in Three-dimensional Space

Wickramathilaka,

Ujang,

Azri

et al. 2023

GaEE

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“…Given the complexity of geological conditions and the limitations of a single model, building a 3D model that can eventually meet all geological conditions becomes a challenge. Therefore, hybrid models have recently attracted much research attention; for example, using the Tetrahedral Network (TEN) [38] as the basic modeling body element, and the hybrid model [39,40] TGT of the geological body based on TIN-GTP-TEN. Using borehole data to construct a triangular network TIN on the surface of the geological body, the geological body is decomposed into the generalized trigonal model (GTP) [41][42][43] via vertical conjoining, and then the GTP is dissected into TEN.…”

Section: Application Of Algorithms In 3d Geological Modelingmentioning

confidence: 99%

A Front Advancing Adaptive Triangular Mesh Dynamic Generation Algorithm and Its Application in 3D Geological Modeling

Lei

et al. 2023

Sustainability

Self Cite

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The traditional advancing front technique algorithm encounters many problems due to the complex geometric characteristics of the front edge shape. These problems include poor quality, a slow algorithm, low robustness, and the inability of the mesh unit to converge. To address these problems, an optimized adaptive triangular mesh dynamic generation algorithm called R-TIN is proposed and applied to 3D engineering geological modeling in this study. Firstly, all the shapes involved in advancing the front edge inward were classified into four types, and then the optimal triangular unit was constructed by using the candidate mesh point heuristic algorithm. Then, the robustness of this algorithm could be maintained by the graded concession of the included angle threshold in the adjacent front-line segments. Finally, based on 160 engineering geological boreholes in the study area, the 3D engineering geological model was constructed and the accuracy and visualization effect of the overall geological model have been greatly improved, which can better present the spatial distribution of strata and lithological characteristics. At the same time, this algorithm can be used in geoscience information services to support the regional or national exploration of resources and energy, sustainable development and utilization, environmental protection and the prevention of geological disasters.

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“…Generally, areas in Tabei and Tazhong began to uplift in the Middle-Late Ordovician (Liu et al, 2018a;Chen et al, 2019;Qiu et al 2019). In response, SSFZs in the Tabei, Tazhong, and Shunbei areas began to develop simultaneously under compressional stress fields along the boundaries of the basin.…”

Section: Grabens or Composite Grabensmentioning

confidence: 99%

Vertical Differential Structural Deformation of the Main Strike‐slip Fault Zones in the Shunbei Area, Central Tarim Basin: Structural Characteristics, Deformation Mechanisms, and Hydrocarbon Accumulation Significance

Tian

CHEN

et al. 2022

Acta Geologica Sinica (Eng)

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Vertical differential structural deformation (VDSD), one of the most significant structural characteristics of strike -slip fault zones (SSFZs) in the Shunbei area, is crucial for understanding deformation in the SSFZ and its hydrocarbon accumulation significance. Based on drilling data and high-precision 3-D seismic data, we analyzed the geometric and kinematic characteristics of the SSFZs in the Shunbei area. Coupled with the stratification of the rock mechanism, the structural deformations of these SSFZs in different formations were differentiated and divided into four deformation layers. According to comprehensive structural interpretations and comparisons, three integrated 3-D structural models could describe the VDSD of these SSFZs. The time-space coupling of the material basis (rock mechanism stratification), changing dynamic conditions (e.g., changing stress-strain states), and special deformation mechanism of the en echelon normal fault array uniformly controlled the formation of the VDSD in the SSFZs of the Shunbei area. The VDSD of the SSFZs in this area controlled the entire hydrocarbon accumulation process. Multi-stage structural superimposing deformation influenced the hydrocarbon migration, accumulation, distribution, preservation, and secondary adjustments.

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Three-dimensional hydrogeological modeling method and application based on TIN-GTP-TEN

Cited by 10 publications

References 26 publications

Calculation of Road Traffic Noise, Development of Data, and Spatial Interpolations for Traffic Noise Visualization in Three-dimensional Space

Calculation of Road Traffic Noise, Development of Data, and Spatial Interpolations for Traffic Noise Visualization in Three-dimensional Space

A Front Advancing Adaptive Triangular Mesh Dynamic Generation Algorithm and Its Application in 3D Geological Modeling

Vertical Differential Structural Deformation of the Main Strike‐slip Fault Zones in the Shunbei Area, Central Tarim Basin: Structural Characteristics, Deformation Mechanisms, and Hydrocarbon Accumulation Significance

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