An intelligent heuristic-clustering algorithm to determine the most probable reservoir model from pressure–time series in underground reservoirs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-020-04908-6.pdf
Reference37 articles.
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3. Adibifard M, Bashiri G, Roayaei E, Emad MA (2016) Using particle swarm optimization (PSO) algorithm in nonlinear regression well test analysis and its comparison with Levenberg-Marquardt algorithm. Int J Appl Metaheuristic Comput IJAMC 7:1–23
4. Alajmi MN, Ertekin T (2007) The development of an artificial neural network as a pressure transient analysis tool for applications in double-porosity reservoirs. In: Asia Pacific oil and gas conference and exhibition. Society of Petroleum Engineers
5. Al-Kaabi A, Lee W (1990) An artificial neural network approach to identify the well test interpretation model: applications. In: SPE annual technical conference and exhibition. Society of Petroleum Engineers
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