Structural–Tectonic Features of the Northeastern Barents Plate from Numerical Modeling of Potential Fields

Никитин, Д. С.; Gorskikh, P. P.; Khutorskoy, M. D.; Иванов, Дмитрий Андреевич

doi:10.1134/s0016852118020085

Cited by 3 publications

(1 citation statement)

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“…It provides a basic constraint framework for sequence modelling, lithofacies modelling and reservoir description. It is the foundation for making 25 and optimizing exploration and development schemes in oil and gas resource exploration (Alcalde et al, 2017;Bond, 2015;Lemon and Jones, 2003;Nikitin et al, 2018;Tahmasebi and Kamrava, 2018). Houlding (1994) proposed the concept of three-dimensional geological modelling.…”

Section: Introductionmentioning

confidence: 99%

Semantic Description and Complete Computer Characterization of Structural Geological Models

Zhan

Liang

et al. 2019

Preprint

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Abstract. A structural geological model is an important basis for the understanding of subsurface structures and exploration of mineral resources, especially petroleum reservoirs. In the field of geological modelling, the lack of a well-defined semantic level description and corresponding computer characterization method hinders its application. In this paper, we propose the semantic descriptions for structural geological models in order to facilitate computer based processing of geological semantics. A multi-level heterogeneous network is proposed to characterize the semantic description for this purpose. The semantic description of a structural geological model gives a complete description of structural units (called semantic entities) of structural models. Basic semantic entities include points, lines, interfaces, bodies, formations and advanced semantic entities include stratified structures/massive structures, planar structures, linear structures. Semantic relations represent the logical relationships among these semantic entities. The multi-level heterogeneous network contains complete information of structural geological models for both geometry and geology. Hence, it has a one-to-one correspondence with a structural geological model. In particular, we propose a bottom-up and top-down integrating structural modelling method based on semantic descriptions. This approach aims to address defects of the existing structural modelling methods that can only carry out bottom-up modelling. Because the addition of semantic information, it improves the adaptability of structural modelling to complex structures and enhances modelling efficiency.

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