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Framework of fracture network modeling using conditioned data with sequential Gaussian simulation

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Abstract

The fracture characterization using a geostatistical tool with conditioning data is a computationally efficient tool for subsurface flow and transport applications. The main objective of the paper is to propose a framework of the geostatistical methods to model the fracture network. In the method, we have chosen a neighborhood area to apply the Gaussian Sequential Simulation in order to generate the fracture network in the unknown region. The angle was propagated from the seed where the neighborhood data guide direction. The Poisson procedure is used to distribute initial seeds. The method is applied for geological faults from Central Kazakhstan and for field data from Scotland, UK. The simulation results are compatible with the original fracture network in the flow and transport modeling setting. From the research that has been carried out, it is possible to conclude that the numerical simulation of fracture network is a valuable tool in subsurface flow and transport applications.

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Funding

The authors would like to acknowledge the support of the research grant, no. AP19575428, from the Ministry of Science and Higher Education of the Republic of Kazakhstan. TM wishes to acknowledge the Nazarbayev University Faculty Development Competitive Research Grant (NUFDCRG), Grant No. 0122022FD4141.

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Authors and Affiliations

  1. Department of Mathematics, Nazarbayev University, Kabanbay Batyr Avenue 53, Nur-Sultan, Kazakhstan

    Yerlan Amanbek & Timur Merembayev

  2. International Information Technology University, Almaty, Kazakhstan

    Timur Merembayev

  3. Department of Energy and Mineral Engineering, Pennsylvania State University, 110 Hosler Building, University Park, State College, Harrisburg, PA, 16802-5000, USA

    Sanjay Srinivasan

Authors
  1. Yerlan Amanbek
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  2. Timur Merembayev
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  3. Sanjay Srinivasan
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Correspondence to Yerlan Amanbek or Timur Merembayev.

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Communicated by: Murat Karakus

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Amanbek, Y., Merembayev, T. & Srinivasan, S. Framework of fracture network modeling using conditioned data with sequential Gaussian simulation. Arab J Geosci 16, 219 (2023). https://doi.org/10.1007/s12517-022-11073-7

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