Suchergebnisse - Geological modeling Computer simulation

  1. 1

    Applied Geostatistics with SGeMS: A User's Guide von Remy, Nicolas, Boucher, Alexandre, Wu, Jianbing

    ISBN: 9780521514149, 9781107403246, 0521514142, 1107403243
    Veröffentlicht: Cambridge, UK Cambridge University Press 2009
    “… The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables …”
    Volltext
    E-Book Buch
  2. 2

    Application of 3D Geological Modeling and Numerical Simulation Technology of Computer in Modern Reservoir Development von Qiu, Xue

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.06.2020
    Veröffentlicht in Journal of physics. Conference series (01.06.2020)
    “… The numerical simulation of oil reservoir based on computer geological modeling, as a cutting-edge technology which can combine geological model and oil production performance, has achieved good …”
    Volltext
    Journal Article
  3. 3

    BIM Geological Structure Computer Modelling and Software Simulation in Building Foundation Model Testing von Shu, Jian

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: IOP Publishing 01.09.2021
    Veröffentlicht in Journal of physics. Conference series (01.09.2021)
    Volltext
    Journal Article
  4. 4

    Modularized and Parametric Modeling Technology for Finite Element Simulations of Underground Engineering under Complicated Geological Conditions von Wu, Jiaqi, Zhuo, Li, Pei, Jianliang, Li, Yao, Xie, Hongqiang, Wu, Jiaming, Liu, Huaizhong

    ISSN: 1526-1506, 1526-1492, 1526-1506
    Veröffentlicht: Henderson Tech Science Press 2024
    “… The surrounding geological conditions and supporting structures of underground engineering are often updated during construction, and these updates require repeated numerical modeling …”
    Volltext
    Journal Article
  5. 5

    Deep multimodal fusion for 3D mineral prospectivity modeling: Integration of geological models and simulation data via canonical-correlated joint fusion networks von Zheng, Yang, Deng, Hao, Wu, Jingjie, Xie, Shaofeng, Li, Xinyue, Chen, Yudong, Li, Nan, Xiao, Keyan, Pfeifer, Norbert, Mao, Xiancheng

    ISSN: 0098-3004
    Veröffentlicht: Elsevier Ltd 01.06.2024
    Veröffentlicht in Computers & geosciences (01.06.2024)
    “… Data-driven three-dimensional (3D) mineral prospectivity modeling (MPM) employs diverse 3D exploration indicators to express geological architecture and associated characteristics in ore systems …”
    Volltext
    Journal Article
  6. 6

    Simulation and prediction of geologic hazards and the impacts on homestay buildings in scenery spots through BIM von Zou, Linfeng, Gui, Weimin

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 22.09.2020
    Veröffentlicht in PloS one (22.09.2020)
    “… the disaster-resistance of homestays in scenery spots. The computer simulation system and Building Information Modeling (BIM …”
    Volltext
    Journal Article
  7. 7

    An effective method for simulating conditional Gaussian processes in the problems of geological modeling von Minniakhmetov, I. R., Pergament, A. Kh

    ISSN: 2070-0482, 2070-0490
    Veröffentlicht: Dordrecht SP MAIK Nauka/Interperiodica 01.05.2013
    Veröffentlicht in Mathematical models and computer simulations (01.05.2013)
    “… In problems of geological modeling, methods are often employed for generating the implementations of stationary Gaussian fields under preset values in the wells …”
    Volltext
    Journal Article
  8. 8

    Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow von Tang, Meng, Liu, Yimin, Durlofsky, Louis J.

    ISSN: 0045-7825
    Veröffentlicht: Amsterdam Elsevier B.V 01.04.2021
    “… Data assimilation in subsurface flow systems is challenging due to the large number of flow simulations often required, and by the need to preserve geological realism in the calibrated (posterior) models …”
    Volltext
    Journal Article
  9. 9

    Implicit Simulation for Three-Dimensional Spatial Morphology of Geological Body Based on Marching Cubes Algorithm von Ding, Ming Lei, Zou, Yan Hong, He, Jian Chun

    ISBN: 3037854693, 9783037854693
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Veröffentlicht: Zurich Trans Tech Publications Ltd 01.08.2012
    Veröffentlicht in Applied Mechanics and Materials (01.08.2012)
    “… Therefore, based on data interpolation, we propose a method to implement the three-dimensional implicit simulation for the geological body by programming with marching cubes algorithm …”
    Volltext
    Journal Article
  10. 10

    Geological realism in hydrogeological and geophysical inverse modeling: A review von Linde, Niklas, Renard, Philippe, Mukerji, Tapan, Caers, Jef

    ISSN: 0309-1708, 1872-9657
    Veröffentlicht: Elsevier Ltd 01.12.2015
    Veröffentlicht in Advances in water resources (01.12.2015)
    “… •Geological concepts improve geophysical and hydrogeological inversion results.•Geophysical and hydrogeological data can falsify and corroborate geological scenarios …”
    Volltext
    Journal Article
  11. 11

    Hybrid geological modeling: Combining machine learning and multiple-point statistics von Bai, Tao, Tahmasebi, Pejman

    ISSN: 0098-3004, 1873-7803
    Veröffentlicht: United States Elsevier Ltd 01.09.2020
    Veröffentlicht in Computers & geosciences (01.09.2020)
    “… Accurately modeling and constructing a geologically realistic subsurface model remains an outstanding problem as the morphology controls the flow behaviors …”
    Volltext
    Journal Article
  12. 12

    A review of CO2 storage in geological formations emphasizing modeling, monitoring and capacity estimation approaches von Ajayi, Temitope, Gomes, Jorge Salgado, Bera, Achinta

    ISSN: 1672-5107, 1995-8226
    Veröffentlicht: Beijing China University of Petroleum (Beijing) 01.10.2019
    Veröffentlicht in Petroleum science (01.10.2019)
    “… Underground storage of CO 2 involves the injection of CO 2 into suitable geological formations and the monitoring of the injected plume over time, to ensure containment …”
    Volltext
    Journal Article
  13. 13

    Coupled phase-field and plasticity modeling of geological materials: From brittle fracture to ductile flow von Choo, Jinhyun, Sun, WaiChing

    ISSN: 0045-7825, 1879-2138
    Veröffentlicht: Amsterdam Elsevier B.V 01.03.2018
    “… The failure behavior of geological materials depends heavily on confining pressure and strain rate …”
    Volltext
    Journal Article
  14. 14

    Integrated 3D Geological Modeling, Stress Field Modeling, and Production Simulation for CBM Development Optimization in Zhengzhuang Block, Southern Qinshui Basin von Liu, Zhong, Wang, Hui, Lu, Xiuqin, Zhang, Qianqian, Yang, Yanhui, Zhang, Tao, Zhang, Chen, Wang, Zihan

    ISSN: 1996-1073, 1996-1073
    Veröffentlicht: Basel MDPI AG 01.05.2025
    Veröffentlicht in Energies (Basel) (01.05.2025)
    “… concentrated in southwestern sectors. Computer Modeling Group (CMG) simulations of a 27-well group revealed a rapid initial pressure decline followed by a stabilization …”
    Volltext
    Journal Article
  15. 15

    Pore-scale modeling of wettability effects on CO2–brine displacement during geological storage von Basirat, Farzad, Yang, Zhibing, Niemi, Auli

    ISSN: 0309-1708, 1872-9657
    Veröffentlicht: Oxford Elsevier Ltd 01.11.2017
    Veröffentlicht in Advances in water resources (01.11.2017)
    “… Wetting properties of reservoir rocks and caprocks can vary significantly, and they strongly influence geological storage of carbon dioxide in deep saline aquifers, during which CO2 is supposed …”
    Volltext
    Journal Article
  16. 16

    Model‐Reduced Adjoint‐Based Inversion Using Deep‐Learning: Example of Geological Carbon Sequestration Modeling von Xiao, Cong, Zhang, Shicheng, Ma, Xinfang, Jin, Jianbing, Zhou, Tong

    ISSN: 0043-1397, 1944-7973
    Veröffentlicht: Washington John Wiley & Sons, Inc 01.01.2022
    Veröffentlicht in Water resources research (01.01.2022)
    “… ‐reduced adjoint‐based optimization workflow with a large‐scale inverse modeling example in geological carbon …”
    Volltext
    Journal Article
  17. 17

    Fault activation and induced seismicity in geological carbon storage – Lessons learned from recent modeling studies von Rutqvist, Jonny, Rinaldi, Antonio P., Cappa, Frederic, Jeanne, Pierre, Mazzoldi, Alberto, Urpi, Luca, Guglielmi, Yves, Vilarrasa, Victor

    ISSN: 1674-7755, 2589-0417
    Veröffentlicht: United States Elsevier B.V 01.12.2016
    “… In the light of current concerns related to induced seismicity associated with geological carbon sequestration (GCS …”
    Volltext
    Journal Article
  18. 18

    Geothermal modeling in complex geological systems with ComPASS von Armandine Les Landes, A., Beaude, L., Castanon Quiroz, D., Jeannin, L., Lopez, S., Smai, F., Guillon, T., Masson, R.

    ISSN: 0098-3004, 1873-7803
    Veröffentlicht: Elsevier Ltd 01.01.2025
    Veröffentlicht in Computers & geosciences (01.01.2025)
    “… In deep geothermal reservoirs, faults and fractures play a major role, serving as regulators of fluid flow and heat transfer while also providing feed zones …”
    Volltext
    Journal Article
  19. 19

    Surface-Based 3D Modeling of Geological Structures von Caumon, G., Collon-Drouaillet, P., Le Carlier de Veslud, C., Viseur, S., Sausse, J.

    ISSN: 1874-8961, 1874-8953
    Veröffentlicht: Berlin/Heidelberg Springer-Verlag 01.11.2009
    Veröffentlicht in Mathematical geosciences (01.11.2009)
    “… Building a 3D geological model from field and subsurface data is a typical task in geological studies involving natural resource evaluation and hazard assessment …”
    Volltext
    Journal Article
  20. 20

    A comprehensive review of computer vision for reservoir modelling and data assimilation von Kazemi, Alireza

    ISSN: 3004-9261, 2523-3963, 3004-9261, 2523-3971
    Veröffentlicht: Cham Springer International Publishing 01.12.2025
    Veröffentlicht in Discover applied sciences (01.12.2025)
    “… The integration of computer vision (CV) techniques into reservoir modeling and data assimilation is reshaping petroleum engineering, driven by advances in machine learning and the growing availability of high-resolution imaging data …”
    Volltext
    Journal Article