Study On Evaluation Of Pore Structure Of Glutenite Reservoir Based On Nuclear Magnetic Resonance Logging Data

Based on the nuclear magnetic data of glutenite reservoir of Wuerhe formation in Permian in Junggar Basin,the application technology of reservoir pore structure evaluation method is studied in this thesis.Based on the nuclear magnetic logging data and production test data of more than10 layers in 8 wells in the working area,a movable fluid spectrum difference method is proposed to distinguish the reservoir fluid properties according to the nuclear magnetic logging data.Combined with the difference spectrum method,the reservoir fluid properties can be identified qualitatively and quantitatively.The application of numerical simulation method of rock nuclear magnetic resonance response is studied.Based on the known results of oil and water layer division,the trial and error inversion method is used to determine the reservoir rock surface relaxation.Because of the limited data of core nuclear magnetic experiment in the research area,this thesis uses numerical simulation technology instead of nuclear magnetic experiment to study the application of rock 100%water-bearing reconstruction T₂ spectrum technology in oil layer?oil-bearing layer?.Combined with the parameter selection standard,the reconstruction model is determined and the nuclear magnetic logging spectrum of oil layer?oil-bearing layer?is reconstructed into 100%water-bearing T₂ spectrum of rock.Combining the advantages of SDR model and Timur-Coates model,a three-parameter permeability model of permeability and T_2gm,bound water saturation and effective porosity is established,and the reservoir reconstruction spectrum is processed.The calculated permeability is basically consistent with the core permeability.The reconstruction spectrum or nuclear magnetic logging spectrum of more than 10 test layers in 9 wells is processed by using the"three pore component percentage method".The application results of these more than 10 layers are analyzed qualitatively and quantitatively,and the results show that the evaluation method is applicable and effective.