Zobrazeno 1 - 10
of 441
pro vyhledávání: '"Training image"'
Publikováno v:
Applied Computing and Geosciences, Vol 23, Iss , Pp 100177- (2024)
Geostatistical cascade modeling of Mineral Resources is challenging in vein-type gold deposits. The narrow shape and long-range features of these auriferous veins, coupled with the paucity of drill-hole data, can complicate the modeling process and m
Externí odkaz:
https://doaj.org/article/a517bc8c676645b6abe4dbac2184c1fd
Publikováno v:
Unconventional Resources, Vol 3, Iss , Pp 93-102 (2023)
Current methods of acquiring data from outcrops with tight gas rocks yield insufficient data. To resolve this, unmanned aerial vehicle (UAV) oblique photogrammetry was used to quantitatively assess the Pingtouxiang outcrop in the North Shanxi provinc
Externí odkaz:
https://doaj.org/article/89b4612ebbf4439a9f8ba7905ebb7c43
Publikováno v:
Mathematics, Vol 11, Iss 24, p 4900 (2023)
In this paper, a multi-point geostatistical (MPS) method based on variational function partition simulation is proposed to solve the key problem of MPS 3D modeling using 2D training images. The new method uses the FILTERSIM algorithm framework, and t
Externí odkaz:
https://doaj.org/article/b3fd9e00837d43c3a4e092477c717fa6
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9807 (2023)
There is a close relationship between the size and property of a reservoir and the production and capacity. Therefore, in the process of oil and gas field exploration and development, it is of great importance to study the macro distribution of oil�
Externí odkaz:
https://doaj.org/article/f7bbecfd994843ecb5363ac859b33c1a
Publikováno v:
地质科技通报, Vol 40, Iss 3, Pp 54-66 (2021)
In order to effectively improve the accuracy of delta sedimentary facies simulation, based on integrated analysis of seismic, core and logging data of Tahe Block T to quantitatively evaluate the complex relationship between recommendation, source sup
Externí odkaz:
https://doaj.org/article/174e948ba27f41cd9699a126f7de4caa
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7497 (2023)
Training images are important input parameters for multipoint geostatistical modeling, and training images that can portray 3D spatial correlations are required to construct 3D models. The 3D training images are usually obtained by unconditional simu
Externí odkaz:
https://doaj.org/article/20291a1ffdeb485b9fab3310f33964fc
Akademický článek
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Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 10, Iss 2, Pp 769-781 (2019)
Abstract Lithofacies are very influential in the transmission of fluids within the reservoir. The objective of this study is to use geostatistical techniques of sequential indicator simulation (SISIM) a variogram-based algorithm (VBA), single normal
Externí odkaz:
https://doaj.org/article/c78bbada86da40e2af41020a55b984e4
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 9, Iss 3, Pp 1633-1650 (2018)
Abstract Multi-point statistic method (MPS) can overcome the inherent disadvantages of traditional method based on variogram and object modeling, simultaneously allow the modeling progress, and become more flexible and rational. The algorithms based
Externí odkaz:
https://doaj.org/article/b6eedb88c4f044deb36c601c90027e82