摘要
复杂多变的火山岩地层矿物成分导致了火山岩地层的岩石骨架参数难以确定,储层气体的出现又导致了孔隙度计算的复杂性和不确定性。传统的岩石体积模型和多矿物模型孔隙度计算方法在岩性复杂、含气火山岩储层存在局限性。基于岩石骨架参数是岩石的化学成分和原子排列的函数的理论,对研究区的岩心进行了矿物和化学成分MINCAP(Mineralogy and Chemical Analysis Project)分析,建立了利用元素俘获能谱测井资料直接计算火山岩岩石测井密度骨架曲线和测井中子骨架曲线的关系式。在岩石骨架参数确定的基础上,利用DMRP(Density-Magnetic Resonance Program)方法,同时衍生了定性判断储层含气性的方法。利用测井资料计算地层连续深度的测井骨架参数是火山岩地层孔隙度计算的首例,后续井的岩心分析资料和测井资料证实了该方法的可行性和可靠性。该方法在酸性火山岩地层应用效果最好。局限性在于用于MINCAP分析的岩心数量少,且用于MINCAP分析的岩石类型主要以酸性火山岩为主,该方法对其他复杂岩性储层孔隙度的计算具有借鉴性。
Complex and variable mineralogy of volcanic reservoirs leads to significant variations in matrix properties.Determination of matrix properties required for porosity calculation has proven to be problematic in Volcanic reservoirs.At the same time the presence of gas in the reservoir,which has a detrimental influence on most measurements used in porosity computation,complicates the situation.One new approach integrating ECS,Density and CMR for porosity calculation was introduced.Since rock matrix parameter is a function of rock chemical compositions and atomic arrangements,the MINCAP is used for core analyses in the studied area,and a relation expression is given using ECS log data to directly calculate volcanics matrix density and matrix neutron.On the base of calculating the rock matrix parameters,the DMRP algorithm is used for gas-bearing correction of reservoir porosity log curves,from which we derived a qualitative gas-bearing formation evaluation method.This is the first example to calculate matrix log parameters of continious formation depths with log data in the volcanics porosity calculation.The core analysis data and log data of subsequent wells have proved the above method is reliable and feasible（in the acidic volcanics formation log）.But there are not many cores for MINCAP analysis,and the main rock for the analysis is acidic volcanics.This method is also a reference for calculating other complex lithologic reservoirs porosities.A useful auxiliary output of this method is a gas indication,which has proven very reliable in identifying gas bearing intervals in the interpreted wells.
出处
《测井技术》
CAS
CSCD
北大核心
2009年第4期350-354,共5页
Well Logging Technology
关键词
核磁共振测井
元素俘获能谱测井
孔隙度
火山岩
密度曲线
松辽盆地
combinable magnetic resonance logging
elemental capture spectroscopy
porosity
volcanic
density log
Songliao base
