本文關鍵詞： 彭灘-新安邊地區(qū) 四性關系 測井解釋模型 油水層識別　出處：《西安石油大學》2017年碩士論文　論文類型：學位論文

【摘要】：在油藏地質研究方面,能夠較為準確地進行油、水層識別一直以來都是一個非常值得關注的問題。彭灘-新安邊地區(qū)長6組屬于低孔特低滲儲層,當前開采產水量高、采出程度低,測井解釋符合率偏低,開展研究區(qū)測井二次精細解釋研究工作,重新確定油水層解釋標準,確定有效厚度,對指導油田開發(fā)生產具有重要意義。本文以彭灘-新安邊地區(qū)長61小層為例,首先進行測井系列優(yōu)化,通過圖示法和相關對比法進行巖心深度歸位。由測井數(shù)據(jù)和試油資料分析發(fā)現(xiàn)研究區(qū)存在低阻油層,并研究低阻成因,故而將工區(qū)劃分為南北兩區(qū)。然后研究“四性”關系,建立兩個區(qū)塊儲層孔、滲、飽和泥質含量參數(shù)計算模型。最后采用交會圖技術分別確定南北兩區(qū)油層電性解釋標準,進而建立了一套適合兩分區(qū)的測井解釋模型。分析油井試油結論與二次解釋結果表明,建立的該套測井二次解釋模型能夠較準確地識別油、水層,確定有效厚度。
[Abstract]:In the aspect of reservoir geological research, can more accurately identify oil and water has always been a very important problem. Peng Tan - Xin'an border region 6 low Kong Te group belongs to low permeability reservoir, the exploitation of high water yield, low recovery degree, the coincidence rate of logging interpretation is low, carry out research two log fine interpretation of research work, to determine the oil layer interpretation standard, determine the effective thickness, is of great significance to guide the development and production of oil. In this paper, Peng Tan - Xin'an border region 61 layer as an example, the first log series optimization, core depth homing by graphic method and the correlation method by logging. The data and testing data analysis shows that there are low resistivity reservoir in the study area, and study the genesis of low resistivity, so the area is divided into North and south two areas. Then study the correlation of four, two building blocks of reservoir pore permeability, saturation, clay content The parameter calculation model. Finally, the crossplot technique identified two areas of the north and South oil electric interpretation standard and interpretation model is established for a two partition analysis of oil well logging. Test results and the two interpretation results show that the establishment of the two set of logging interpretation model can accurately identify the oil, water, determination effective thickness.

【學位授予單位】：西安石油大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TE151;P631.81

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本文編號：1501492