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Petroleum Science >2017,??Issue 2:??276-285 DOI: https://doi.org/10.1007/s12182-017-0158-1

Improvements to the fuzzy mathematics comprehensive quantitative method for evaluating fault sealing Open?Access

文章信息

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作者：Da-Wei Dong,Ji-Yan Li,Yong-Hong Yang,Xiao-Lei Wang and Jian Liu
作者單位：

Shengli College of China University of Petroleum, Dongying 257061, Shandong, China;Research Institute of Petroleum Exploration and Development, Shengli Oilfield Company, Dongying 257000, Shandong, China; Working Stations for Post Doctors, Dongying 257000, Shandong, China;Research Institute of Petroleum Exploration and Development, Shengli Oilfield Company, Dongying 257000, Shandong, China;Oil Production Plant of Dongxing, Shengli Oilfield Company, Sinopec, Dongying 257061, Shandong, China;Research Institute of Petroleum Exploration and Development, Shengli Oilfield Company, Dongying 257000, Shandong, China

投稿時(shí)間：2016-03-31
引用方式：Dong, DW., Li, JY., Yang, YH. et al. Pet. Sci. (2017) 14: 276. https://doi.org/10.1007/s12182-017-0158-1

文章摘要

Fuzzy mathematics is an important means to quantitatively evaluate the properties of fault sealing in petroleum reservoirs. To accurately study fault sealing, the comprehensive quantitative evaluation method of fuzzy mathematics is improved based on a previous study. First, the single-factor membership degree is determined using the dynamic clustering method, then a single-factor evaluation matrix is constructed using a continuous grading function, and finally, the probability distribution of the evaluation grade in a fuzzy evaluation matrix is analyzed. In this study, taking the F1 fault located in the northeastern Chepaizi Bulge as an example, the sealing properties of faults in different strata are quantitatively evaluated using both an improved and an un-improved comprehensive fuzzy mathematics quantitative evaluation method. Based on current oil and gas distribution, it is found that our evaluation results before and after improvement are significantly different. For faults in “best” and “poorest” intervals, our evaluation results are consistent with oil and gas distribution. However, for the faults in “good” or “poor” intervals, our evaluation is not completely consistent with oil and gas distribution. The improved evaluation results reflect the overall and local sealing properties of target zones and embody the nonuniformity of fault sealing, indicating the improved method is more suitable for

關(guān)鍵詞

    Fault sealing property, Fuzzy mathematics, Dynamic clustering method, Quantitative study