A comparative study of novel object-based geostatistical algorithm and direct sampling method on fracture network modeling

Accurate discrete fracture network modeling is a significant requirement for fluid flow simulation in various applications such as managing groundwater resources, simulating oil and gas reservoirs, and modeling geothermal energy resources. The existing fracture network modeling approaches are often...

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Bibliographic Details
Published in:	Stochastic environmental research and risk assessment Vol. 37; no. 2; pp. 777 - 793
Main Authors:	Shakiba, Sima, Doulati Ardejani, Faramarz
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023 Springer Nature B.V
Subjects:	Algorithms Aquatic Pollution Chemistry and Earth Sciences Comparative studies Computational Intelligence Computer Science Configurations Earth and Environmental Science Earth Sciences Energy resources Energy sources Environment Flow simulation Fluid dynamics Fluid flow Geostatistics Geothermal energy Geothermal resources Groundwater Image processing Iterative methods Math. Appl. in Environmental Science Mathematical models Modelling Oil reservoirs Original Paper Particle swarm optimization Physics Probability Theory and Stochastic Processes Sampling Sampling methods Statistical analysis Statistics for Engineering Waste Water Technology Water Management Water Pollution Control Water resources Weights & measures Discrete fracture network Spatial characteristics Direct sampling (DS) simulation Multi-objective optimization problem Particle swarm optimization
ISSN:	1436-3240, 1436-3259
Online Access:	Get full text
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