摘要：AbstractThis paper describes a recently introduced methodology to perform value of information (VOI) analysis within a closed-loop reservoir management (CLRM) framework, and adds a first step to improve the computational efficiency of the procedure. CLRM is a combination of model-based optimization and model-parameter identification applied to large-scale models of subsurface hydrocarbon reservoirs. The approach is illustrated with a simple two-dimensional model of an oil reservoir produced with water injection. The results are compared with previous work on other measures of information valuation. We show that our method is a more complete, although also more computationally intensive, approach to VOI analysis in a CLRM framework. We recommend it to be used as the reference for the development of more practical and less computationally demanding tools for VOI assessment in real fields.
关键词：Keywordsvalue of informationvalue of clairvoyancedecision makinguncertaintyclosed-loop controlmodel-based optimizationEnKFparameter estimationreservoir managementwell production data
