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الرئيسية > بحث>Misfit Proxy Models to Guide G...>الوصف

Misfit Proxy Models to Guide Genetic Method to Generate an Improved Set of Final Reservoir Models

المصدر: المجلة الجامعة
الناشر: جامعة الزاوية - مركز البحوث والدراسات العليا
المؤلف الرئيسي: .Arwini, Saleh G (Author)
مؤلفين آخرين: Stephen, Karl (Co-Author)
المجلد/العدد: مج18, ع1
محكمة: نعم
الدولة: ليبيا
التاريخ الميلادي: 2016
الشهر: يناير
الصفحات: 115 - 137
رقم MD: 1263313
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, EcoLink, IslamicInfo, AraBase, HumanIndex
مواضيع:
خزانات النفط | الزلازل الأرضية | الاستخلاص المعزز | التحليل الجيولوجي
كلمات المؤلف المفتاحية:
Stochastic Algorithms | Proxy Models | Convergence Rate | Time-Lapse (4D) Seismic
رابط المحتوى:

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المستخلص: A detailed geological understanding of the reservoir along with a reservoir simulation is required to gain a detailed reservoir description and determine the optimal recovery method for oil reservoirs. Moreover, timelapse seismic data may provide the changes in dynamic parameters (saturation and pressure) with time. Fluids within the reservoir could change dramatically when an enhanced oil recovery (EOR) process is used. Therefore, maximising production of oil and gas reservoirs requires predictive tools that can be used to plan wells by anticipating unswept regions, optimise facilities for fluid handling, and generally forecasting reservoir behaviour. Such tools are created using pre-production data that includes 3D seismic, well logs, cores and geological analysis via a model. In mature fields, production and other monitoring data such as 4D seismic can also be used to condition reservoir models by history matching. In this paper, we present new modifications to genetic algorithm, to search the parameter space automatically to find optimal models and compare its results to neighbourhood algorithm. The proxy based method improves the convergence rate by a factor of three generally. With improved convergence, we have the ability run fewer models or search the parameter space more widely to obtain an improved set of final reservoir models. Several reliable simulation scenarios can be used to provide insight about the injected fluid, injection scheme, well pattern, injector well completion, and well spacing.

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