低滲透儲層巖石核磁共振特性實驗分析與測井評價研究
發(fā)布時間:2018-07-01 15:20
本文選題:低滲透儲層 + 核磁共振 ; 參考:《中國石油大學(華東)》2015年碩士論文
【摘要】:在眾多測井方法中,核磁共振測井因其能提供與儲層性質(zhì)及產(chǎn)能有關的孔隙度、滲透率、孔隙結(jié)構(gòu)、自由流體和束縛流體體積等參數(shù)而得到廣泛應用,在低孔低滲儲層、薄層評價和復雜油藏流體識別等方面顯示出了其獨特的優(yōu)勢,為解決油田勘探開發(fā)中各種復雜地質(zhì)問題提供了新思路,成為必不可少的重要測井手段。本文針對低滲透儲層巖心,開展實驗室?guī)r心核磁共振實驗,研究低滲透儲層巖心核磁共振信號特點及其影響因素,在理論分析的基礎上結(jié)合巖心核磁共振實驗結(jié)果,對研究區(qū)開展核磁共振測前設計及儲層評價研究。針對區(qū)域低滲透儲層巖心特點,從核磁共振理論基礎出發(fā),開展不同共振頻率、不同流體性質(zhì)、不同采集參數(shù)下的低滲透儲層巖心核磁共振實驗。結(jié)果表明,巖心核磁共振T2譜受儀器頻率、回波間隔TE、等待時間TW、孔隙流體性質(zhì)等因素的影響,并且不同的巖性受影響的程度不同。研究了P型核磁共振測井儀器的采集模式、應用條件,結(jié)合區(qū)域儲層地質(zhì)特點和巖心實驗結(jié)果,進行測前設計,優(yōu)選測井模式與采集參數(shù)。在實驗室核磁共振巖心分析的基礎上,研究T2截止值與T2譜特征參數(shù)的關系,建立了基于可變T2截止值的核磁共振測井儲層參數(shù)計算模型,彌補了單一T2截止值在不同井段,不同巖性條件下適應性較差的缺點,取得了較好的應用效果。從巖石孔隙結(jié)構(gòu)的分形特征出發(fā),并結(jié)合滲流場與電流場的耦合性及Brooks-Corey/Burdine模型,建立流體相對滲透率與核磁共振橫向弛豫時間的關系,研究基于分形和巖心核磁共振的流體相對滲透率計算方法。在孔隙結(jié)構(gòu)評價方面,利用T2分布,結(jié)合壓汞資料,對核磁共振T2譜分別進行線性和非線性轉(zhuǎn)換,通過對比,優(yōu)選轉(zhuǎn)換方法,并利用三孔隙度組分百分比法對孔隙結(jié)構(gòu)進行識別和分類。
[Abstract]:Among many logging methods, nuclear magnetic resonance logging has been widely used in low porosity and low permeability reservoirs due to its ability to provide parameters such as porosity, permeability, pore structure, free fluid and bound fluid volume related to reservoir properties and productivity. Thin layer evaluation and fluid identification of complex reservoirs show their unique advantages, which provide a new way to solve various complex geological problems in oil field exploration and development, and become an indispensable and important logging tool. In this paper, the nuclear magnetic resonance (NMR) experiment in laboratory is carried out for low permeability reservoir cores. The characteristics of nuclear magnetic resonance signals in low permeability reservoirs and their influencing factors are studied. Based on the theoretical analysis, the results of nuclear magnetic resonance (NMR) experiments in cores are combined. The pre-NMR design and reservoir evaluation were carried out in the study area. According to the core characteristics of regional low permeability reservoir, the nuclear magnetic resonance experiments of low permeability reservoir cores with different resonance frequencies, different fluid properties and different acquisition parameters are carried out on the basis of nuclear magnetic resonance (NMR) theory. The results show that the T _ 2 spectrum of core is affected by the instrument frequency, echo interval, waiting time, pore fluid properties and so on, and different lithology is affected to different extent. The acquisition mode and application conditions of P-type nuclear magnetic resonance logging tool are studied. Combined with regional reservoir geological characteristics and core experimental results, pre-logging design is carried out to select logging model and acquisition parameters. On the basis of nuclear magnetic resonance core analysis in laboratory, the relationship between T 2 cutoff value and T 2 spectrum characteristic parameters is studied, and a model for calculating reservoir parameters of nuclear magnetic resonance logging based on variable T 2 cutoff value is established, which makes up for the single T 2 cut-off value in different well segments. The disadvantages of poor adaptability under different lithologic conditions have achieved good application results. Based on the fractal characteristics of rock pore structure and the coupling of seepage field and current field and Brooks-Corey / Burdine model, the relationship between the relative permeability of fluid and the transverse relaxation time of nuclear magnetic resonance (NMR) is established. The calculation method of fluid relative permeability based on fractal and nuclear magnetic resonance (NMR) is studied. In the evaluation of pore structure, using T2 distribution and mercury injection data, the NMR T2 spectra were converted linearly and non-linear respectively. The pore structure is identified and classified by the three-porosity fraction percentage method.
【學位授予單位】:中國石油大學(華東)
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:P631.81
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