火成岩储层裂缝特征及测井解释方法综述  

Review on well logging interpretation of charateristics and identifications for fractured igneous reservoirs

作　　者：李月[1] 徐守余[1] 刘鹏飞[1] 高原[1] 路研[1] 

机构地区：[1]中国石油大学(华东),山东青岛266555

出　　处：《中州煤炭》2016年第12期128-133,共6页Zhongzhou Coal

基　　金：国家科技重大专项(2011ZX05009-003)

摘　　要：裂缝是进行火成岩储层预测的关键,为了更准确地研究火成岩裂缝测井解释问题,探讨了火成岩储层裂缝特征以及各类常规测井曲线、成像测井、地层倾角测井对裂缝的响应特征;介绍了目前在常规测井基础之上拓展的指数曲线法、综合概率法和模式识别法等在识别裂缝中的应用;此外,国内外还利用比值法、杨氏模量等其他半定量方法以及人工神经网络识别裂缝特征。为进一步对裂缝进行精确描述,归纳了利用成像测井、双侧向测井以及斯通滤波等方法在定量计算储层裂缝参数(裂缝产状、裂缝视孔隙度,裂缝张开度和裂缝渗透率等)方面的应用和研究现状,最后指出了研究趋势。Fracture identification is an essential part of igneous reservoir prediction. In order to predict fracture accurately with well logging data,this paper summed up various fracture characteristics of igneous reservoirs and responses to fracture on types of conventional logging,image logging and dip logging. Based on the conventional logging,other approaches,including exponential curve method,comprehensive probabilistic method and pattern recognition method,were discussed with current application as well as its limitation in fracture recognition. In addition,domestic and foreign studies also utilize other semi-quantitative approaches,such as ratio method,Young＇s modulus and artificial neural network,to do research on fracture identification. As fracture parameters should be calculated for the physical properties of fractured reservoirs,this paper also summarized methods of image logging,laterolog and Stone filter which is used to compute fracture occurrence,FVPA,FVA and fracture permeability,and so on. Finally,some of developing trends were pointed out.

关 键 词：火成岩储层 裂缝识别 测井解释 裂缝参数 石油勘探 

分 类 号：P588.1[天文地球—岩石学]