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- W212103655 abstract "This is the second of two papers describing the application of simulation-optimization methods to a gas storage field development planning problem. The first paper began by giving a detailed description of the field and earlier efforts to model the effects of selected field development options on the field's productivity. It then outlined the basic steps required to apply a combination of artificial neural networks (ANNs) and the genetic algorithm (GA) to explore a much larger universe of field development planning options. Familiarity with the contents of the first paper is a prerequisite for understanding the material presented in this second paper. The optimized solutions to the planning problem presented in the first paper were based on a deterministic, ''best guess'' view of the field's reservoir properties. However, practical field development planning dictates that at least some of the uncertainties associated with these properties be taken into account. This second paper describes procedures and presents results showing how the ANN-GA approach to optimization can be extended to accommodate three sources of uncertainty pertinent to the field being studied: (1) Alternative hypotheses regarding the permeabilities in a key region of the field; (2) Uncertainty regarding the likely success of remediating existing wells; (3) Risks associated with siting new wells in relatively unknown regions of the field. The first two sources involve physical properties (permeabilities and skin factors, respectively) that are embedded in the simulation of the reservoir response and, therefore, require substantial changes to the knowledge base of simulations. The third source of uncertainty is examined simply by making changes to the objective functions driving the optimization. To streamline the presentation of results, only one of the two injection/withdrawal scenarios described in the first paper is included here, namely the 30-day peak service at the 2.5 Bcf baseload." @default.
- W212103655 created "2016-06-24" @default.
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- W212103655 date "2001-01-22" @default.
- W212103655 modified "2023-10-05" @default.
- W212103655 title "Improving development planning in a natural gas storage field through simulation-optimization uncertainty analyses" @default.
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- W212103655 doi "https://doi.org/10.2172/15006175" @default.
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