Abstract
Abstract Gas lift optimization is often used to enhance production of mature oilfields consisting of multiple reservoirs. For efficiency, several of those reservoirs often share the same surface processing facilities. In such context, we wish to find the optimal allocation of gas lift over an entire network of wells and pipelines, while accounting for the constraints imposed by the reservoir operating conditions. In this study, we describe a novel, cost-effective approach to perform such optimizations involving non-smooth models and subject to expensive constraints that might be simulation-based and as costly to compute as the objective function. After classifying all constraints depending on their computational cost, points not satisfying simple linear constraints are feasibilized before evaluating expensive constraints. A sequential lexicographic ordering is applied in which the linear constraints take precedence over nonlinear constraints and inexpensive nonlinear constraints take precedence over expensive ones, which in turn take precedence over objective function values. Two oilfield-production optimization examples serve to demonstrate that the performance of the proposed method is much faster than the traditional ones.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.