کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1754498 1522795 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Time-explicit methods for joint economical and geological risk mitigation in production optimization
ترجمه فارسی عنوان
روش های زمان دقیق برای کاهش خطرهای اقتصادی و زمین شناسی مشترک در بهینه سازی تولید
کلمات کلیدی
کوتاه مدت در مقابل بهینه سازی دراز مدت، بهینه سازی چند هدفه، مدیریت ریسک، تولید نفت، کنترل بهینه، عدم اطمینان کمیت
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
چکیده انگلیسی


• Novel time-explicit (TE) methods are proposed as a tool for joint risk mitigation.
• Economical risks are addressed by balancing geological risks measures over time.
• Significantly improved balance of short-term and long-term objectives is obtained.
• The novel methods pose a computational attractive alternative to known methods.

Real-life applications of production optimization face challenges of risks related to unpredictable fluctuations in oil prices and sparse geological data. Consequently, operating companies are reluctant to adopt model-based production optimization into their operations. Conventional production optimization methods focus on mitigation of geological risks related to the long-term net present value (NPV). A major drawback of such methods is that the time-dependent and exceedingly growing uncertainty of oil prices implies that long-term predictions become highly unreliable. Conventional methods therefore leave the oil production subject to substantial economical risk. To address this challenge, this paper introduces a novel set of time-explicit (TE) methods, which combine ideas of multi-objective optimization and ensemble-based risk mitigation into a computationally tractable joint effort of mitigating economical and geological risks. As opposed to conventional strategies that focus on a single long-term objective, TE methods seek to reduce risks and promote returns over the entire reservoir life by optimization of a given ensemble-based geological risk measure over time. By explicit involvement of time, economical risks are implicitly addressed by balancing short-term and long-term objectives throughout the reservoir life. Open-loop simulations of a two-phase synthetic reservoir demonstrate that TE methods may significantly improve short-term risk measures such as expected return, standard deviation and conditional value-at-risk compared to nominal, robust and mean-variance optimization. The gains in short-term objectives are obtained with none or only slight deterioration of long-term objectives.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Petroleum Science and Engineering - Volume 146, October 2016, Pages 158–169
نویسندگان
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