1887

Abstract

Summary

Since finding optimal well plan and updating its geological model are inter-related, we need a closed-loop framework, which combines the two methods. Also, in the early stage of field operation, the location of existing production wells is improper due to limited information available. Therefore, we propose a new closed-loop field development optimization framework, considering conversion of existing production wells to injectors as well as the number, type, location, drilling sequence, and controls of infill wells. In optimization part, we use PSO (particle swarm optimization) algorithm which is global search method and suitable for discrete parameters such as location and type of well. For history matching, EnKF (ensemble Kalman filter) is applied because it is suitable for high dimension systems like reservoir grid properties and it can assess uncertainties by multiple assimilation. Therefore, PSO-EnKF closed-loop algorithm finds a reliable solution due to the global search by PSO and the model update by EnKF. This algorithm is expected to be applicable to real field developments and to help decision makers consider reliable development plan.

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/content/papers/10.3997/2214-4609.201801194
2018-06-11
2024-03-29
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References

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