کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8912203 | 1639324 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Big data paradox and modeling strategies in geological modeling based on horizontal wells data
ترجمه فارسی عنوان
پارادوکس داده های بزرگ و استراتژی های مدل سازی در مدل سازی زمین شناسی بر اساس داده های چاه های افقی
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کلمات کلیدی
افقی خوب، مدل سازی زمین شناسی پارادوکس داده بزرگ، تجزیه و تحلیل داده های بزرگ، واریوگرام
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
ژئوشیمی و پترولوژی
چکیده انگلیسی
Based on analysis of horizontal well data characteristics, the differences of data distribution and variogram between vertical and horizontal wells in MPE3 oil field of Orinoco heavy oil belt were compared, and modeling strategies were proposed to cope with the big data paradox when data of horizontal wells was used directly into geologic modeling. The study shows the horizontal wells in the study area contain a large quantity of information, strong directionality of well trajectories and high drilling ratio of sandstone, causing variogram analysis result unconformable to the geologic understanding, and in turn making errors in the modeling of sedimentary microfacies and reservoir physical properties and prediction of probabilistic reserves. Firstly, the distributary channel distribution variogram was analyzed with data of vertical wells, and then the lithofacies framework was established under the control of the sedimentary facies and seismic data. After that, the horizontal wells data revealing high heterogeneity accuracy of reservoir, was combined with the vertical wells data to analyze argillaceous interlayer variograms and the corresponding reservoir lithofacies models were constructed. Finally, reservoir physical property models were generated and the geological reserves were calculated by wellblocks. This reservoir modeling method does not only reflect the geologic features underground, but also improve the accuracy of inter-well sand body prediction, and enhance the reliability of reservoir geologic model ultimately.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Petroleum Exploration and Development - Volume 44, Issue 6, December 2017, Pages 993-1002
Journal: Petroleum Exploration and Development - Volume 44, Issue 6, December 2017, Pages 993-1002
نویسندگان
Wensong HUANG, Jiahua WANG, Heping CHEN, Fang XU, Zheng MENG, Yonghao LI,