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

机译:模糊数学综合定量方法评价密封性的改进

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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 evaluating fault sealing under complicated conditions.
机译:模糊数学是定量评价储层断层封闭性的重要手段。为了准确地研究故障密封,在先前研究的基础上改进了模糊数学的综合定量评估方法。首先,使用动态聚类方法确定单因素隶属度,然后使用连续等级函数构造单因素评估矩阵,最后,分析模糊评估矩阵中评估等级的概率分布。本文以东北切排子凸起处的F1断层为例,采用改进和未改进的综合模糊数学定量评价方法对不同地层断层的封闭性进行了定量评价。根据当前的油气分布,我们发现改进前后的评估结果存在明显差异。对于“最佳”和“最差”间隔的断层,我们的评估结果与油气分布一致。但是,对于“好”或“差”间隔的故障,我们的评估与油气分布并不完全一致。改进后的评价结果​​反映了目标区域整体和局部的封闭性,体现了断层封闭的不均匀性,说明该方法更适合于复杂条件下断层封闭的评价。

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