Coupled modeling between geological structure fields and property parameter fields in 3D engineering geological space

Zhu, Liangfeng; Li, Mingjiang; Li, Changling; Shang, Jing; Chen, Guoliang; Zhang, Bing; Wang, Xifeng

doi:10.1016/j.enggeo.2013.10.016

Cited by 31 publications

(9 citation statements)

References 30 publications

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“…The fault model is a three-dimensional fault plane that is based on seismic interpretation and fault data to determine fault distribution in space [29]. The layer structure model uses the interpolation method and layered data to build the top and bottom surface models of each isochronous layer [30]. The layer model is a three-dimensional representation of the stratum interface.…”

Section: Geofluidsmentioning

confidence: 99%

Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field

et al. 2022

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The Ss oil field is found in the Turpan-Hami Basin’s Taipei Sag’s arc structural belt. This reservoir has a complicated character that has a significant impact on reservoir modeling and production prediction. This is a fault-block reservoir with ultralow permeability and low porosity that is divided by 57 faults. A static model was constructed by Petrel software based on reinterpretation of original log and core data and seismic information so as to clarify the spatial distribution of oil and water in the reservoir and to fit the development history of the later simulated reservoir. The integrated geological modeling approach is described in this work using the Ss reservoir as an example. A 3D structural model was built based on the spatial cutting relationship between the layer model and the fault, and the model’s quality was improved by breakpoint data, which more correctly depicted the structural properties of the research area. The lithofacies model was built within the restrictions of sedimentary facies using the sequential Gaussian simulation (SGS) stochastic modeling approach, which is paired with variogram data analysis to achieve the range value. To obtain the porosity and permeability model, the empirical formula of porosity and permeability, the SGS method, and the variation range value was input into the lithofacies model. It is important to note that the input lithofacies and property models have values of the same range. To gain the water saturation model, the distinct S w function formulas of the S 1 ~ S 4 layer derived from the J S w function were fed into the software. The NTG model was created according to the lower limit of porosity, which is 11%. The merging of detailed reservoir description and simulation led to the establishment of the Ss reservoir geological model. In the plane, the scale of the geological model has reached the meter level and decimeter level in the longitudinal direction. It also offers a framework for optimum reservoir modeling for complex fault-block reservoirs. This method improves the accuracy and precision of the model by reflecting the reservoir’s heterogeneity and the oil-water distribution. It could provide more details for future reservoir research such as fine reservoir simulation.

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Section: Geofluidsmentioning

confidence: 99%

Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field

et al. 2022

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“…Nowadays, there are plenty of exploratory studies on how best to model and visualize 2D/3D geospatial information (such as maps, images, and 3D models) on virtual globes [64][65][66]. Visualizing and analyzing geospatial objects in four dimensions (x, y, z, and time), however, is still a relatively new field [4][5][6][7][8][9][10][11][12][13][14][15][67][68][69][70]. With the increased attention being paid to the fourth dimension of the Earth space, and the significant improvements to acquire spatio-temporal data, more and more people are getting interested in the representation and analysis of time-dynamic geospatial objects on virtual globes [71,72].…”

Section: The Role Of Czml In Geoscientific Researchmentioning

confidence: 99%

Representing Time-Dynamic Geospatial Objects on Virtual Globes Using CZML—Part II: Impact, Comparison, and Future Developments

Zhu

Wang

2018

IJGI

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This is the second and final part of our Cesium Markup Language (CZML) study. Here, we describe the relevant applications, academic influence, and future developments of CZML. Since its emergence in 2011, CZML has become widely used in the geoscientific environment. It is also having a positive impact on geoscience. Numerous applications use CZML for generating time-dynamic geovisualization, facilitating data interoperability, and promoting spatial data infrastructures. In this paper, we give an overview of the available tools and services, representative applications, as well as the role that CZML plays for geoscientific research. Furthermore, we also discuss key similarities and differences between CZML and KML (Keyhole Markup Language), and outline some of the future improvements for CZML's research and development.

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“…A visual 3D geological model can effectively reflect the strata distribution and structural planes in 3D space and help directly observe and analyze the relationship between engineering structures and unfavorable geological conditions such as fault zones and weak interlayers. Zhu et al (2013) established a 3D geological model based on geological concepts to thoroughly understand the subsurface. In Paris, Gypsum dissolution can be the cause of damage associated with subsidence and collapse, Thierry et al (2009) developed a multi-layer 3D geological model using the same 20 m mesh grid, integrating 21 lithostratigraphic units.…”

Section: Introductionmentioning

confidence: 99%

Genesis Analysis of Ground Collapse in Wuhan Based on 3D Geological Model

Tan

Peng

et al. 2022

Front. Earth Sci.

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Ground collapse has been one of the main types of geological disasters in Wuhan City. It can be characterized by complex disaster-inducing environment, diverse disaster-causing factors, fragile disaster-bearing bodies, and serious consequences. In this study, a 3D geological structure model of the area was established by collecting data from major ground collapse incidents in Wuhan that have occurred over the years and by combining them with geological data obtained from boreholes. The model was used to analyze the distribution of ground subsidence in the city and reveal the geological causes of ground subsidence accidents in this area. The results showed that ground collapse is mainly distributed in the karst development area along the Yangtze River in Baishazhou. The karst was most developed at the intersection between the Yangtze River fault and the Hanyang fold belt. The ground collapse incidents showed two main characteristics in terms of their spatial distribution. Most of the collapse areas developed in the central third limestone belt. Most of the collapses are located on the first terrace of the Yangtze River. Most collapse points were controlled by geomorphic units (first terrace), stratigraphic age (Holocene) and stratigraphic combination (a binary structure composed of clay as the upper part and fine sand as the lower part, and the bottom is a gravel layer, containing pore confined water). The karst collapse in Fenghuo Village was selected as a case study to analyze the evolution process and disaster-causing mechanism of the karst collapse. Groundwater extraction was found to be the main reason for the karst collapse. The research results provide a geological basis for the planning layout and urban construction in Wuhan City.

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Coupled modeling between geological structure fields and property parameter fields in 3D engineering geological space

Cited by 31 publications

References 30 publications

Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field

Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field

Representing Time-Dynamic Geospatial Objects on Virtual Globes Using CZML—Part II: Impact, Comparison, and Future Developments

Genesis Analysis of Ground Collapse in Wuhan Based on 3D Geological Model

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