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頁巖氣儲層感應測井數(shù)值模擬研究

發(fā)布時間:2018-03-15 02:37

  本文選題:頁巖氣儲層 切入點:感應測井 出處:《中國地質大學(北京)》2015年碩士論文 論文類型:學位論文


【摘要】:伴隨著石油天然氣資源勘探開發(fā)的深入,常規(guī)油氣資源逐漸出現(xiàn)供給問題,而頁巖氣等非常規(guī)油氣資源逐漸成為能源勘探的熱點。然而,由于頁巖既是生烴巖,又是儲集層,其儲層的地球物理測井評價差異于常規(guī)儲層。建立專門針對頁巖氣儲層的巖石物理模型,并利用計算機模擬技術來分析相應的地球物理響應特征是突破非常規(guī)油氣勘探難題的有效途徑。本文通過運用感應測井的數(shù)值模擬方法,基于實際的頁巖氣儲層資料建構地質地球物理模型,研究了模型的電阻率參數(shù)特征及其規(guī)律。論文通過對頁巖氣儲層的基本特征進行分析,選取儲層的電性參數(shù)作為研究變量,闡述其相應的影響因素,并且結合感應測井測量的基本理論,對雙感應、陣列感應理論以及相關感應測井儀器進行了闡述,分析了頁巖氣儲層的感應測井應用。針對感應測井的數(shù)值模擬計算方法,論文利用基于電磁感應定理的Maxwell方程組在Dirichlet條件下的邊值問題的偏微分方程,運用Yee氏網格剖分原理,并結合總場分解為一次背景場和二次散射場的原理來分別計算,推導了函數(shù)法求解一次場分布、以及頻域有限差分離散計算二次場分布。對離散化的線性方程組使用不完全Cholesky預處理分解雙共軛梯度法進行迭代計算。在數(shù)值模擬計算方法的理論下,使用MATLAB平臺實現(xiàn)了感應測井正演算法的程序代碼編寫。在均勻地層模型驗證了正演算法程序的準確性的基礎上,針對不同頁巖氣儲層地質條件下的地質體模型,通過建立徑向和縱向模型,研究了感應測井響應受到井眼環(huán)境下的泥漿濾液、井徑以及侵入帶的影響,分析表明視電阻率同泥漿濾液和侵入帶電阻率呈現(xiàn)正相關,而同井徑與侵入半徑呈負相關。論文基于南方碳酸鹽巖頁巖系和四川盆地地區(qū)頁巖氣儲層的實際資料,闡述了儲層電阻率模型的建立,針對龍山地區(qū)的巖石電性特征建立模型,研究表明感應測井正演能夠較好地分辨出低阻的頁巖層段,對于中高阻的頁巖層因有機質等組成成分的復雜而需要借助周圍地層的測井響應來識別。
[Abstract]:With the development of petroleum and natural gas resources, the supply of conventional oil and gas resources has gradually appeared, and unconventional oil and gas resources such as shale gas have gradually become the hot spot of energy exploration. However, shale is both hydrocarbon generating rock and reservoir. The geophysical log evaluation of the reservoir is different from that of the conventional reservoir. Using computer simulation technology to analyze the geophysical response characteristics is an effective way to break through the difficult problem of unconventional oil and gas exploration. Based on the actual data of shale gas reservoir, the geological geophysical model is constructed, and the characteristics and regularity of resistivity parameters of the model are studied. Through the analysis of the basic characteristics of shale gas reservoir, the electrical parameters of the reservoir are selected as the research variables. Based on the basic theory of induction logging, the dual induction theory, array induction theory and related induction logging tools are expounded. The application of induction logging in shale gas reservoir is analyzed. In view of the numerical simulation calculation method of induction logging, the partial differential equation of the boundary value problem of Maxwell equations based on electromagnetic induction theorem under Dirichlet condition and the principle of Yee mesh generation are used in this paper. Combined with the principle that the total field is decomposed into the primary background field and the secondary scattering field, the function method is derived to solve the distribution of the primary field. And frequency domain finite difference discrete calculation of quadratic field distribution. The discrete linear equations are calculated by using incomplete Cholesky preprocessing decomposition double conjugate gradient method. In the theory of numerical simulation method, The programming code of induction logging forward algorithm is realized by using MATLAB platform. On the basis of verifying the accuracy of forward algorithm program by homogeneous formation model, the geological body model under different shale gas reservoir geological conditions is studied. By establishing radial and longitudinal models, the effects of mud filtrate, well diameter and invasion zone on the response of induction logging are studied. The analysis shows that the apparent resistivity is positively correlated with the mud filtrate and the resistivity of the intrusive zone. Based on the actual data of shale gas reservoirs in the southern carbonate shale system and Sichuan Basin, the establishment of reservoir resistivity model is expounded, and the model is established according to the electrical characteristics of rocks in Longshan area. The research shows that the induction logging forward modeling can distinguish the shale formation with low resistivity, and the middle and high resistivity shale formation needs to be identified by the logging response of the surrounding formation because of the complexity of organic matter and other components.
【學位授予單位】:中國地質大學(北京)
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:P631.81;P618.13

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