拟正演方程(PFE)与智能方法在北海储层表征中的比较研究

Q4 Earth and Planetary Sciences
S. Mojeddifar, G. Kamali, H. Ranjbar, Babak Salehipour Bavarsad
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引用次数: 8

摘要

本文对三种版本的自适应神经模糊推理系统(ANFIS)算法和基于地震数据的伪正演方程(PFE)进行了比较研究,以表征北海储层(F3区块)。根据统计研究,已知四种属性(能量、包络、谱分解和相似度)是孔隙度估计的基本属性。采用网格划分(GP)、减法聚类(SCM)和模糊c均值聚类(FCM)三种聚类方法构建了不同的ANFIS模型。提出了一种基于相似属性的PFE实验方程来估计储层孔隙度值。当使用训练井的验证集时,ANFIS算法和PFE模型的两个变量(实际值和预测值)之间的r平方系数分别为0.7935和0.7404。但当使用测试井的测试集时,对于ANFIS算法和PFE模型,相同的系数分别降至0.252和0.5133。根据上述结果,结合F3区块的地质特征,ANFIS算法不能很好地估计孔隙度。相比之下,在PFE的输出中,探测断层(气烟囱)、褶皱(盐丘)和亮点等地质构造的能力,以及砂岩储层的孔隙度估算,可以帮助确定钻井目标位置。最后,本文提出了PFE的发育可以作为表征F3区块储层的一种很好的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Study between a Pseudo-Forward Equation (PFE) and Intelligence Methods for the Characterization of the North Sea Reservoir
This paper presents a comparative study between three versions of adaptive neuro-fuzzy inference system (ANFIS) algorithms and a pseudo-forward equation (PFE) to characterize the North Sea reservoir (F3 block) based on seismic data. According to the statistical studies, four attributes (energy, envelope, spectral decomposition and similarity) are known to be useful as fundamental attributes in porosity estimation. Different ANFIS models were constructed using three clustering methods of grid partitioning (GP), subtractive clustering method (SCM) and fuzzy c-means clustering (FCM). An experimental equation, called PFE and based on similarity attributes, was also proposed to estimate porosity values of the reservoir. When the validation set derived from training wells was used, the R-square coefficient between two variables (actual and predicted values) was obtained as 0.7935 and 0.7404 for the ANFIS algorithm and the PFE model, respectively. But when the testing set derived from testing wells was used, the same coefficients decreased to 0.252 and 0.5133 for the ANFIS algorithm and the PFE model, respectively. According to these results, and the geological characteristics observed in the F3 block, it seems that the ANFIS algorithms cannot estimate the porosity acceptably. By contrast, in the outputs of PFE, the ability to detect geological structures such as faults (gas chimney), folds (salt dome), and bright spots, alongside the porosity estimation of sandstone reservoirs, could help in determining the drilling target locations. Finally, this work proposes that the developed PFE could be a good technique for characterizing the reservoir of the F3 block.
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来源期刊
International Journal of Mining and Geo-Engineering
International Journal of Mining and Geo-Engineering Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
0.80
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