Development of a robust multi-objective history matching for reliable well-based production forecasts
- 주제(키워드) Reservoir characterization , multi-objective optimization , history matching , Pareto-optimality , trade-off , preference-ordering
- 주제(기타) Energy & Fuels
- 등재 SCIE, SCOPUS
- 발행기관 SAGE PUBLICATIONS INC
- 발행년도 2016
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000162073
- 본문언어 영어
- Published As http://dx.doi.org/10.1177/0144598716665008
초록/요약
This article presents a dynamic reservoir characterization using a new multi-objective optimization algorithm to quantify the reservoir uncertainties in history matching. The proposed method formulated Pareto-optimality with preference-ordering to derive multiple trade-off history-matched reservoir models for probabilistic production estimation. The integration of linear programming with multi-objective genetic algorithm enhances the efficiency of a multi-directional search by prioritizing the reservoir models that satisfy the aspiration levels on the discrepancy between the observed and the calculated production data. The preference levels are automatically adjusted in correspondence to the quality of the reservoir models for facilitating the model update process during optimization. An oil-field application result indicates the method outperforms the conventional multi-objective optimization method in terms of the relative average error for the production data despite a small loss of diversity-preservation among the reservoir models.
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