利用GA-Elman神经网络预测致密砂岩储层压裂产能  

Prediction of fracturing production capacity of tight sandstone reservoir by using GA-Elman neural network

作　　者：曹方秀 

机构地区：[1]山东省鲁南地质工程勘察院,山东济宁272100 [2]山东省华鲁工程总公司,山东济宁272100

出　　处：《地球物理学进展》2018年第1期156-162,共7页Progress in Geophysics

摘　　要：苏里格致密砂岩气藏具有非均质性强、低阻气层和高低阻水层并存、微观孔隙结构复杂、有效砂体连通性差的特点,因此低渗透致密气藏的渗流机理与常规高渗气藏明显不同.再加上生产中压裂措施对地层的影响,给致密砂岩储层的压裂产能预测带来了一系列挑战.本文首先利用高分辨率阵列感应测井(HDIL)的探测优势,求取能描述复杂侵入剖面的电阻率曲线总差异参数.然后利用灰色关联分析法对影响苏里格致密砂岩储层产能的影响因素根据关联度排序,优选出关联度最大的主要影响因素,进而建立GA-Elman神经网络产能预测模型对压裂产能进行预测.另外,对于多层合试层段进行KHK产能劈分,实现苏里格致密砂岩储层逐点产能预测分析,提高了致密砂岩气藏产能预测的精度.Because the characteristics of tight sandstone gas reservoir in Sulige area, including heterogeneity is strong, low resistance gas layer and high resistance layer co-exist,micro pore structure is complex, effective sand body connectivity is poor,percolating mechanism＇s characteristic of gas reservoir with low porosity and low permeability is different from conventional gas reservoir obviously. Coupled with the impact of fracturing measures on the formation,bring a series of challenges to the tight sandstone gas reservoir＇s evaluation. Making full use of the technology advantage of high resolution array induction logging（ HDIL）,the total difference parameter of resistivity curves which can describe layer complex intrusion profile is calculated. The grey correlation analysis method is used to calculate the correlation of each parameter for the fracturing productivity. Then sorting according to the numerical size,choose the optimized main influence factors of fracturing productivity in the study area. On this basis, the establishment of the GA-Elman neural network capacity prediction model to predict the productivity of fracturing. In addition,the KHK deliverability splitting is performed for the multi-layer test section to predict the point capacity of Sulige tight sandstone reservoir. It improves the accuracy of productivity prediction of tight sandstone gas reservoirs.

关 键 词：致密砂岩 GA-Elman神经网络 高分辨率阵列感应测井 灰色关联分析法 KHK劈分 压裂产能 

分 类 号：P631[天文地球—地质矿产勘探]