کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5484212 | 1522787 | 2017 | 60 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Uncertainty assessment of volumes of investigation to enhance the vertical resolution of well-logs
ترجمه فارسی عنوان
ارزیابی عدم اطمینان حجم تحقیقات به منظور افزایش عمودی حلقه چاه
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کلمات کلیدی
RhoBDSTBELFETintrecMSEbody of evidenceRMSEGamma ray logPLSInterpolation - انترپوله یا درونیابی یا میانیابی FER - انجام دهیدIdeal - ایده آلBoE - بلهDempster-Shafer theory - تئوری دمپستر-شافرBelief function - تابع اعتقادRoot mean square error - ریشه میانگین خطای مربعSIM - سیم کارتSimulation - شبیه سازیRecording - ضبطMass function - عملکرد توده ایProbability distribution function - عملکرد توزیع احتمالیDistance - فاصلهdist - محدودهMean Square Error - میانگین مربع خطاPdf - پی دی افfraction - کسر
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
زمین شناسی اقتصادی
چکیده انگلیسی
Whereas well-log data are dense recordings, i.e. low sampling rate, there is a high depth uncertainty. The depth uncertainty originates from the volumetric nature of well-logging that each record belongs to a volume of investigation, around the logging tool. The developed algorithm in this work consists of two parts: (i) uncertainty assessment using Dempster-Shafer Theory (DST). The lower (upper) uncertainty boundary of each well-log is calculated by belief (plausibility) function. (ii) Four simulators are designed for scanning the uncertainty range in order to enhance the vertical resolution of well-logs (~60Â cm) by generating simulated-logs (vertical resolution of ~15Â cm). Shoulder-bed effect is reduced simultaneously with resolution improvement, resulting in more accurate thin-bed characterization. In order to validate functionality of the simulators, two error criteria are considered: ideal- and constraint-based errors. Ideal-based error is applicable in synthetic-logs where the rock specifications are completely known through ideal-logs. However, constraint-based error does not need ideal-log. It measures the error due to the volumetric nature of the well-logs, hence applicable in the real cases. The high correlation (R2=0.89) between both the errors indicates that the second criterion is precise for validation. Step-by-step procedure of the algorithm is shown in detail on synthetic and real data (a cored interval). Finally, DST-based algorithm is not only automated but also more accurate than geometry-based thin-bed characterization method. The error bars of characterizing gamma, density and neutron porosity of thin-beds are lower in DST-based algorithm by 100%, 71% and 66%, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Petroleum Science and Engineering - Volume 154, June 2017, Pages 252-276
Journal: Journal of Petroleum Science and Engineering - Volume 154, June 2017, Pages 252-276
نویسندگان
Pedram Masoudi, Tahar Aïfa, Hossein Memarian, Behzad Tokhmechi,