Geological Modeling Technology for Tight Reservoir with Multi-scale Discrete Multiple Media

Author(s):  
Qiquan Ran
IERI Procedia ◽  
2012 ◽  
Vol 2 ◽  
pp. 921-927 ◽  
Author(s):  
Xiao Fang Zu ◽  
Wei Sheng Hou ◽  
Bao Yi Zhang ◽  
Wei Hua Hua ◽  
Jin Luo

2021 ◽  
Vol 44 (3) ◽  
pp. 219-242
Author(s):  
Gongwen Wang ◽  
Shouting Zhang ◽  
Changhai Yan ◽  
Zhenshan Pang ◽  
Hongwei Wang ◽  
...  

The Fourth generation industrial age and 5G + intelligent communication in the "Fourth Paradigm of Science" in the 21st century provide a new opportunity for research on the relationship between mining development and environmental protection. This paper is based on the theory of metallogenic geodynamics background, metallogenic process and quantitative evaluation and chooses the Luanchuan district as a case study, using deep-level artificial intelligence mining and three/four-dimensional (3D/4D) multi-disciplinary, multi-parameter and multi-scale modeling technology platform of geoscience big data (including multi-dimensional and multi-scale geological, geophysical, geochemical, hyperspectral and highresolution remote sensing (multi-temporal) and real-time mining data), carrying out the construction of 3D geological model, metallogenic process model and quantitative exploration model from district to deposit scales and the quantitative prediction and evaluation of the regional Mo polymetallic mineral resources, the aim is to realize the dynamic evaluation of highprecision 3D geological (rock, structure, hydrology, soil, etc.) environment protection and comprehensive development and utilization of mineral resources in digital and wisdom mines, it provides scientific information for the sustainable development of mineral resources and mine environment in the study area. The research results are summarized as follows: (1) The geoscience big data related to mineral resource prediction and evaluation of district include mining data such as 3D geological modeling, geophysics interpretation, geochemistry, and remote sensing modeling, which are combined with GeoCube3.0 software. The optimization of deep targets and comprehensive evaluation of mineral resources in Luanchuan district (500 km2, 2.5 km deep) have been realized, including 6.5 million tons of Mo, 1.5 million tons of W, and 5 million tons of Pb-Zn-Ag. (2) The 3D geological modeling of geology, mineral deposit, and exploration targeting is related to the mine environment. The data of exploration and mining in the pits of Nannihu – Sandaozhuang – Shangfang deposits and the deep channels of Luotuoshan and Xigou deposits show a poor spatial correlation between the NW-trending porphyryskarn deposits and the ore bodies. The NE-trending faults are usually tensional or tensional-torsional structures formed in the post-metallogenic period, which is the migration pathway of hydrothermal fluid of the related Pb-Zn deposit. There is a risk of groundwater pollution in the high-altitude Pb-Zn mining zones, such as the Lengshui and Bailugou deposits controlled by NE-trending faults are developed outside of porphyry-skarn types of Mo (W) deposits in the Luanchuan area. (3) Construction of mineral resources and environmental assessment and decision-making in intelligent digital mines: 3D geological model is established in large mines and associated with ancient mining caves, pit, and deep roadway engineering in the mining areas to realize reasonable orientation and sustainable development of mining industry. The hyperspectral database is used to construct three-dimensional useful and harmful element models to realize the association of exploration, mining, and mineral processing mineralogy for the recovery of harmful elements (As, Sb, Hg, etc.). 0.5 m resolution Worldview2 images are used to identify the distribution of Fe in the wastewater and slag slurry of important tailings reservoirs, so as to protect surface runoff and soil pollution.


2012 ◽  
Vol 446-449 ◽  
pp. 2033-2040 ◽  
Author(s):  
Xu Tao Li ◽  
Qing Fu Lin ◽  
Chang Song Lin

Stochastic modeling technology of reservoirs has been broadly applied in clastic reservoirs while scarcely applied in carbonate reservoirs. The heterogeneity in carbonate rocks more severe than that in clastic rocks leads to more tough problems for geological modeling precisely. Taking into account of the difficulties such as extensive area to be modeled, insufficient drilling information, incomplete seismic interpretation data, lack of facies controlling constraints and sophisticated gas-water contact, a solution is proposed in this paper in which the inversed information of reservoir thickness is used as plane constraints during attribute simulation, two gas fields are constrained by different correlation coefficients and precise geological models have been set up finally through reserve calculation by use of variable gas-water contact, obtaining good results and providing a reference for this type of geological modeling.


2013 ◽  
Vol 456 ◽  
pp. 591-594
Author(s):  
Shuo Mei Wu ◽  
Yan Kun Wang ◽  
Jian Wei Song ◽  
Xu Ning Liu

Accurate terrain data should be obtained in order to research geological structure modeling problem, and it is difficult to truly reflect the form of three-dimensional geological body by traditional three-dimensional spatial data model method. By taking geological structure modeling problem as research object, this paper analyzes geological modeling principles, builds the volume element model of octree subdivision algorithm, proposes to build a three-dimensional geological body by octree subdivision algorithm based on multi-scale, meets the needs of multi-scale organization of data as well as multi-scale division of geological bodies and attributes based on the geological object expression of octree subdivision algorithm, establishes the links between various geological objects through spatial volume element, lays a good foundation for spatial analysis and provides data support for the three-dimensional visualization of geology. The results of simulation experiment show that the proposed geological modeling method through octree subdivision algorithm is accurate and efficient, and it can adapt to the construction of three-dimensional complex geological model under common complex geological conditions and reflect the true form of three-dimensional geological body.


2021 ◽  
Author(s):  
zhaoyang Ma ◽  
lihai zhang ◽  
yan wang ◽  
guifan zhu ◽  
yinping liang

Abstract Remote sensing technology provides a new way to explore the earth for geoscience applications. In the context of continuous deepening of geological research and the vigorous development of geospatial information science, 3D geological modeling technology has become a research hotspot in the intersection of earth science and information science. The traditional 3D geological modeling technology refers to underground 3D modeling using geological data. This modeling method can only display the underground scene in 3D visualization, but cannot display the surface in detail. In this study, remote sensing technology is adopted to improve the traditional 3D geological modeling method, so that geological modeling can be integrated with remote sensing image, and a new 3D geological modeling method based on remote sensing technology is developed. This method can perform integrated 3D visualization of underground and aboveground scenes, which provides a new way for disaster prevention and reduction, geological prospecting and tectonic interpretation. The new 3D geological modeling method is mainly applied in the geological field, and has made new progress in multi-source heterogeneous geological data fusion, large-scale high-precision modeling, geological grid subdivision, attribute modeling technology, remote sensing image fusion and other aspects. Taking the Ya'an area as an example, this paper makes use of the new generation of 3D geological modeling technology to carry out 3D geological modeling and visual display. The 3D visualization in Ya'an area verifies the feasibility and effectiveness of the new 3D geological modeling method based on remote sensing technology in the current data environment.


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