Submitted as: methods for assessment of models
13 Jul 2022
Submitted as: methods for assessment of models | 13 Jul 2022
Status: a revised version of this preprint is currently under review for the journal GMD.

Mapping 3D Structure of Loose Quaternary Deposits Combining Deep Learning and Multiple-point Statistics: An example in Chencun, Northern Pearl River Delta

Weisheng Hou1,2,3, Hengguang Liu1, Xianhe Zhang4, Xiaoming Lin4, Hongwei Li4, Weisheng Wu4, Fan Xiao1,2,3, Junyi Li1, and Hui Chang1 Weisheng Hou et al.
  • 1School of Earth Sciences and Engineering, Sun Yat-Sen University, Guangzhou, 510275, China
  • 2Guangdong Provincial Key Lab of Geodynamics and Geohazards, Guangzhou, 510275, China
  • 3Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519080, China
  • 4Guangdong Geology Survey Institute, Guangzhou, 510080, China

Abstract. Reconstruction and cognition of structures of the Quaternary deposits, like thickness variation and displacement, is necessary for understanding neotectonics and the evolution of palaeo-valleys and deltas. Multiple-point statistics (MPS) is a useful method to reconstruct three-dimensional geological models in many fields. However, non-stationary spatial patterns and semantics in geological blocks are difficult to extract and reconstruct with the MPS-based methods, especially for those probability-based MPS methods. To reconstruct 3D characteristics of loose Quaternary deposits and the semantic relationship between them, an algorithm coupled MPS and deep artificial neural network (DANN) is proposed. The DANN is constructed and used to extract and simulate the global characteristics of geological structures. Process of sequential simulation and stratigraphic sequence calibration are implemented to build an initial model. To obtain a reasonable final realization, an iterative MPS simulation process with a multi-scale strategy is implemented. With several cross-sections and trench profiles used as modeling dataset, two concrete examples of constructing the Quaternary sediments in Chencun, South China are given. The displacements of sedimentary formation belonging to the Pleistocene reveal the strata rupture caused by the fault activities. The modeling results illustrated that the DANN used in the method can extract and simulate global structures of Quaternary deposits, and MPS simulation with the Expectation-Maximization-like iteration process can optimize local characteristics in results effectively.

Weisheng Hou et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-83', Anonymous Referee #1, 21 Jul 2022
    • AC1: 'Reply on RC1', Henggaung Liu, 08 Aug 2022
  • RC2: 'Comment on gmd-2022-83', Anonymous Referee #2, 08 Aug 2022
    • AC2: 'Reply on RC2', Henggaung Liu, 15 Sep 2022
  • CEC1: 'Comment on gmd-2022-83', Juan Antonio Añel, 23 Aug 2022
    • AC3: 'Reply on CEC1', Henggaung Liu, 15 Sep 2022

Weisheng Hou et al.

Weisheng Hou et al.


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Short summary
In this paper, a novel approach to construct the 3D Quaternary structures is proposed. Two three-dimensional model construction examples in Chencun area, Foshan City, Guangdong Province show that the algorithm proposed in this study can realize the three-dimensional reconstruction of the fine structure of Quaternary loose sediments and fracture zones.