Development of a time-dependent economic method with start time consideration to optimise gas-lift allocation and scheduling

S. Omid H. Miresmaeili*, Peyman Pourafshary, Farhang Jalali Farahani

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

2 اقتباسات (Scopus)

ملخص

The gas lift allocation optimisation is an important operational problem. In this paper, we present a method to optimise the lift gas allocation profile and determine the best time to start the gas-lift operation for each well. To tackle the nonlinear optimisation, an estimation of distribution algorithm (EDA) is employed based on Gaussian Bayesian networks and Gaussian kernels and the results are compared with those obtained by particle swarm optimisation (PSO) and genetic algorithms (GAs). Gas-lift performance for all the wells along with estimated cumulative production data are correlated over time to develop a model to show the field production behaviour as a function of the gas injection rates and initiation parameters. The developed model is coupled with an economic model to maximise the net present value of the gas-lift process for the field.

اللغة الأصليةEnglish
الصفحات (من إلى)41-59
عدد الصفحات19
دوريةInternational Journal of Oil, Gas and Coal Technology
مستوى الصوت13
رقم الإصدار1
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2016

ASJC Scopus subject areas

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