1887

Abstract

Summary

Placing infill wells in reservoir’s sweet spots and choosing appropriate wells configurations are challenging optimization problems. This work presents an efficient well placement and design optimization approach for full-field scale capitalizing on computational mathematical modeling to maximize wells contact with high-productive hydrocarbon zones. The approach uses mixed integer programming to solve the optimization problem using high-performance optimization solver. Results show that the approach can efficiently place a number of wells optimally in a simulation model in reasonable time and without violating any of the imposed geometrical and intersection constraints. The computational run-time of the optimization solver was used to evaluate the performance between different cases using different constraints and hardware specifications. The approach demonstrated in this work complements sweet spots identification capabilities to maximize ultimate hydrocarbon recovery, maintain and extend plateau, and prolong the fields’ lifetime.

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/content/papers/10.3997/2214-4609.201903290
2019-10-07
2021-10-20
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References

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