雅克拉气田亚格列木组储层参数测井解释与储层评价  

LOG INTERPRETATION OF RESERVOIR PARAMETERS AND RESERVOIR EVALUATION FOR YAGELIEMUZU FORMATION IN YAKELA GASFIELD

作　　者：黄崇春[1] 杨斌[1] 赵习森[2] 柳春云[2] 杨莉娜[1] 

机构地区：[1]成都理工大学"油气藏地质及开发工程"国家重点实验室,四川成都610059 [2]中国石化西北油田分公司雅克拉采气厂,新疆库车842017

出　　处：《新疆石油天然气》2010年第4期9-14,26,共7页Xinjiang Oil & Gas

摘　　要：塔里木盆地雅克拉气田白垩系亚格列木组属中低孔中低渗强非均质砂岩储层,近年来,气田增储上产遇到困难,需对该组进行再次评价。该文综合地质、测井,钻井,岩心分析资料,在岩心归位,测井数据标准化,归一化后,挑选建模的学习样本,利用BP神经网络建立孔隙度和渗透率预测模型,并用误差统计法和叠合图比较法对储层参数预测效果进行评价,孔隙度平均绝对误差为0.90%,渗透率平均相对误差为22.61%,误差统计表明预测达到较高的精度;并根据现有资料,在确定储层综合评价模型,评价参数及其权重,单项评价参数的评价分数的计算方法后,对研究区各储层段进行分类,并总结了各类储层的电性响应特征和储层特征,确定有利储层的位置为构造高点和辫状河道和心滩发育区,建议Ⅱ、Ⅲ类储层进行措施调整,以改善储层物性,提高油气产量。Yageliemuzu formation is the strongly heterogeneous sandstone reservoir with middle-low porosity and middle-low permeability in Yakela gasfield.In recent years,it is difficult to increase gas reserves and production,so we need to re-evaluate the formation.Using geology,logging,drilling,core analysis data,the BP neural network porosity and permeability predicting model is established on the basis of selected learning data after the standardization logging and normalizing data.Then the statistical error method and overlapping graph are used to evaluate predicted result of the reservoir parameters.The mean absolute error of porosity is 0.90% and the mean absolute error of permeability is 22.61%.The statistic error demonstrates that the predicting results are highy accurate.The available data are used to determine the apprehensive evaluation model on the reservoir.Afier evaluating parameters and the calculating method of the evaluating score of the single evaluating parameters,the different reservoirs is classified in the study area.The logging response characteristic and the reservoir characteristic are summarized and the profitable location of reservoir is determined.It is suggested that the development measures for the second and third kinds reservoirs should be adjusted in order to improve the reservoir physical property and thus increase gas production.

关 键 词：测井解释 储层参数 储层评价 神经网络 砂岩 雅克拉气田 亚格列木组 

分 类 号：TE122.24[石油与天然气工程—油气勘探]