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Research On Constituent Porous Medium Theory And Application In Reservoir Fluid Identification

Posted on:2013-01-05Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y LiFull Text:PDF
GTID:1310330518989690Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Framework and pore fluid elastic parameters inversion is an important issue of rock physics.In general,the fluid store concentrated in matrix pore,crack or cracks of rock.The performance of the reservoired oil,gas and water's space is very complicated,it brings increasingly huge challenge to the reservoir exploration,so it desperately needs us to carry out in-depth theoretical study and practical research on pore medium model.Fluid-saturated porous media can be viewed as two constituents,solid and fluid constituents,in accordance with the particular laws to compound a type of media.Based on constituents fluid porous medium theory presented by professor Niu Binhua,this paper researches and analyses modeling and inversion of the data of Lawrence-Livermore national laboratory and actual real data of the XC work area in western Sichuan,and uses the fluid density and velocity as fluid sensitivity factors to identify reservoir gas and water.First of all,this paper researches and analyses of the constituents fluid porous medium theory,discusses the relationship of the constituents elastic parameters.It proves the rationality of the constituents fluid porous medium theory by researching and analysing modeling and inversion of Lawrence-Livermore national laboratory data.It provides precondition for effective application,and tells us the issues of the application that we have to pay attention to.Then,the equations of the constituents fluid porous medium theory are made use of to design and realize the calculation the fluid density and velocity of the actual real data of the western Sichuan XC work area through the C+ + program.And then rig parameters are combined with the seismic data through the nonlinear probabilistic neural network method to predict the fluid density and velocity of the target area.Then,in accordance with geographic information,such as formation temperature and pressure,fluid density and velocity criterion of oil-gas identification can be formulated and used for reservoir predication.Finally,this method is used in different formation periods of XC work area in western Sichuan to predict the fluid density and velocity.The fluid density and velocity criterion of oil-gas identification are formulated and used for reservoir predication.The results are consistent with drilling information and prove the method effective and availability.
Keywords/Search Tags:Constituents fluid porous media, Fluid density, Fluid velocity, Probabilistic neural network, Identification of reservoir gas and water
PDF Full Text Request
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