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This chapter discusses closed-loop reservoir management (CLRM) workflows, which recursively and repeatedly combine ensembleEnsemblehistory matching history matching with robust optimizationOptimizationrobust of decision alternatives, generating inputs to a decisionDecisionanalysis process to determine the subsequent actions for the reservoir production or development strategiesProduction strategy. Asset teams usually work in an annual maturation process (AMAP), using updated models to determine next year’s strategies. The AMAP process fits well with the CLRM workflows discussed here.

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Closed Loop Reservoir Management

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Geir Evensen,
  • Dean S. Oliver,
  • Remus G. Hanea

摘要

This chapter discusses closed-loop reservoir management (CLRM) workflows, which recursively and repeatedly combine ensembleEnsemblehistory matching history matching with robust optimizationOptimizationrobust of decision alternatives, generating inputs to a decisionDecisionanalysis process to determine the subsequent actions for the reservoir production or development strategiesProduction strategy. Asset teams usually work in an annual maturation process (AMAP), using updated models to determine next year’s strategies. The AMAP process fits well with the CLRM workflows discussed here.