莫里青復雜砂礫巖儲層測井飽和度評價方法

發(fā)布時間：2018-05-26 02:24

本文選題：伊通莫里青 + 巖性識別��；參考：《東北石油大學》2016年碩士論文

【摘要】：伊通盆地位于吉林省東部,此盆地沉降幅度很大,盆地兩側(cè)物源充足,沉積速率快相變快。主要研究區(qū)塊莫里青斷陷為伊通盆地的一個沉積環(huán)境特殊巖性復雜的一個二級構造單元。水下扇是莫里青斷陷砂體發(fā)育的主要類型,在巖性上主要表現(xiàn)為粒徑粗分選差,巖性相對單一,孔隙結(jié)構較好的中扇區(qū)主要以砂礫巖、含礫砂巖、粉砂巖為主;顆粒較細、泥質(zhì)含量高的的低孔低滲特征明顯的含泥或含鈣粉砂巖等。論文以巖心錄井資料為基礎,在常規(guī)測井資料綜合標定的基礎上,通過交會圖分析實現(xiàn)對研究區(qū)劃分的五類巖性的物性與含油性的分析。同時針對典型巖性進行測井響應分析,研究各條曲線的測井響應特征,對于不同巖層的反應能力與變化趨勢,通過五大巖類的物性含油性分析結(jié)合主要影響巖性識別的測井曲線值通過交會圖分析、貝葉斯聚類判別分析等技術建立判別函數(shù),完成五種主要巖性的測井資料巖性識別,并且有較高的識別符合率。由于莫里青斷陷儲層巖性復雜,砂礫巖儲層巖石骨架電阻率高,油、水層均表現(xiàn)為較高的視電阻率,粉砂巖儲層又常表現(xiàn)為高含鈣、高含泥、非均質(zhì)性強,因此從傳統(tǒng)意義上來應用阿爾奇公式計算含水飽和度的方法,很難得到好的計算結(jié)果。為了解決以上問題,通過分巖性的方法建立地層因數(shù)與有效孔隙度的關系式,從而確定不同巖性的巖性系數(shù)a與孔隙指數(shù)m;在確定飽和度指數(shù)n時,由于孔滲條件的復雜性,必須要考慮到巖樣自身的孔滲特征對驅(qū)替過程產(chǎn)生的影響,也就是考慮孔喉半徑這個影響因素,論文通過大量實驗研究確立了含水飽和度與電阻率增大系數(shù)的關系并且形成由平均孔喉半徑計算飽和度指數(shù)n的關系式,相關性比較高,最后通過密閉取心井飽和度分析資料進行方法驗證,取得的效果較好。
[Abstract]:The Yitong Basin is located in the east of Jilin Province. The Morri fault depression is a secondary tectonic unit with complex lithology and special sedimentary environment in the Yitong basin. The subaqueous fan is the main type of sand body development in the Qingqing fault depression of Morri. The lithology of the subaqueous fan is mainly composed of sandy gravel, gravel sandstone, siltstone and fine grain, which is characterized by poor grain-size coarse sorting, relatively simple lithology and good pore structure. The characteristics of low porosity and low permeability with high shale content are obvious mud or calcium-bearing siltstone and so on. On the basis of core logging data and on the basis of comprehensive calibration of conventional logging data, the physical properties and oil-bearing properties of five types of lithology in the study area are analyzed by cross plot analysis. At the same time, the logging response of typical lithology is analyzed, and the logging response characteristics of each curve are studied, and the response ability and variation trend of different rock layers are studied. Through the petrophysical analysis of the five major rock types and the logging curve value which mainly affects the lithology identification, the discriminant function is established by means of cross plot analysis, Bayesian clustering discriminant analysis and so on, and the lithology identification of the logging data of the five major lithology is completed. And there is a higher recognition coincidence rate. Because of the complex lithology of Morri fault depression reservoir, the rock skeleton resistivity of sandy gravel reservoir is high, the oil and water layers are all high apparent resistivity, and the siltstone reservoir is often characterized by high calcium content, high mud content and strong heterogeneity. Therefore, it is difficult to obtain good results by using Archie formula to calculate water saturation in traditional sense. In order to solve the above problems, the relationship between formation factor and effective porosity is established by the method of lithology, so as to determine the lithology coefficient a and porosity index m of different lithology, because of the complexity of pore and permeability conditions when determining saturation exponent n, We must take into account the influence of the pore and permeability characteristics of rock samples on the displacement process, that is, the influence factor of pore throat radius. In this paper, the relationship between water saturation and resistivity increase coefficient is established through a lot of experimental studies, and the relation formula of saturation exponent n calculated from average pore throat radius is obtained. The correlation is relatively high. Finally, the method is verified by the saturation analysis data of closed coring well.
【學位授予單位】：東北石油大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：P618.13;P631.81

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