發(fā)布時間：2018-10-26 16:05

【摘要】：華慶地區(qū)位于鄂爾多斯(ERDOS)盆地天環(huán)坳陷南部,是長慶油田的主產(chǎn)油區(qū)之一。近年,該區(qū)在致密油氣勘探方面取得了一系列重大突破,發(fā)現(xiàn)了許多新的油氣甜點,已成鄂爾多斯盆地油氣勘探的熱點地區(qū),然而隨著勘探的深入,該區(qū)長6段致密儲層所具有的低孔、低滲、油水關(guān)系復(fù)雜等特點使得測井解釋存在著符合率低、效果欠佳等問題。為此,本文針對ERDOS盆地華慶地區(qū)長6段致密油儲層,首先優(yōu)選出對致密油響應(yīng)明顯的測井曲線;開展了電阻率曲線泥漿的侵入影響校正方法的研究;然后在用已收集的測井、錄井、試油資料及巖心實驗數(shù)據(jù),對致密儲層"四性關(guān)系"進行分析,建立儲層參數(shù)解釋模型,并得出儲層物性下限·,基于優(yōu)選出的致密油敏感曲線,進行致密油含流體性質(zhì)識別方法的研究;最終形成一套適用于工區(qū)長6段致密油的測井精細(xì)解釋軟件。具體取得了以下認(rèn)識:(1)根據(jù)工區(qū)長6段致密油測井響應(yīng)特征,優(yōu)選出的對致密油敏感的測井曲線有自然伽馬曲線、密度曲線、聲波時差曲線、補償中子曲線及陣列感應(yīng)電阻率曲線。(2)工區(qū)長6段陣列感應(yīng)電阻率曲線具有較明顯幅度差,表明該段泥漿侵入明顯,因此有必要對陣列感應(yīng)電阻率進行泥漿侵入校正。本研究針對致密油層的泥漿高侵和低侵特征,采用了一種基于陣列感應(yīng)測井徑向幾何因子的電阻率泥漿侵入校正方法,與斯倫貝謝電阻率校正圖版法校正結(jié)果相符。(3)通過"四性關(guān)系"研究,確定工區(qū)長6段致密油測井響應(yīng)特征,然后對比分析了泥質(zhì)含量、孔隙度的不同計算方法,發(fā)現(xiàn)利用自然伽馬值計算泥質(zhì)含量精度較高,利用密度值計算孔隙度精度較高;通過分析巖心實驗數(shù)據(jù)確定孔隙度和滲透率的相關(guān)關(guān)系,用于工區(qū)滲透率的計算;然后利用工區(qū)巖電實驗數(shù)據(jù),回歸得到阿爾奇公式中的a、b、m、n值,建立了高精度儲層參數(shù)解釋模型;最后采用孔飽關(guān)系法、產(chǎn)能分析法、經(jīng)驗統(tǒng)計法綜合分析以確定長6段儲層物性下限:孔隙度為6.4%,滲透率0.035mD。(4)根據(jù)優(yōu)選出的對致密油敏感的測井曲線,提出一個識別儲層流體性質(zhì)的孔電新參數(shù)ODI,同時與聲-電兩參數(shù)交會圖法、侵入特征分析法、三孔隙度重疊法、微分分析法等多種致密油含流體性質(zhì)識別方法進行分析對比,發(fā)現(xiàn)孔電新參數(shù)ODI法對致密油含流體性質(zhì)識別效果最佳。(5)將上述方法集成,利用Fortran語言編程,形成了一套掛接在LEAD平臺上適用于華慶地區(qū)長6段致密油的測井精細(xì)解釋軟件(Logtofi)。該軟件運行穩(wěn)定,處理結(jié)果可靠,滿足了射孔壓裂工程對致密油測井評價的要求。
[Abstract]:Hua-qing area is located in the south of Tianhuan depression of Ordos (ERDOS) basin and is one of the main oil producing areas in Changqing Oilfield. In recent years, this area has made a series of major breakthroughs in tight oil and gas exploration, and many new oil and gas desserts have been discovered, which has become a hot spot for oil and gas exploration in the Ordos Basin. However, with the deepening of exploration, The low porosity, low permeability and complex oil-water relationship in the tight reservoir of Chang 6 in this area make the logging interpretation have some problems, such as low coincidence rate and poor effect. Therefore, in this paper, for the tight oil reservoir of Chang-6 formation in Huaqing area, ERDOS basin, the logging curve with obvious response to tight oil is selected, and the method of correction of the intrusion effect of mud on resistivity curve is studied. Then, by using the collected logging, oil test data and core experimental data, the "four properties" relation of tight reservoir is analyzed, and the interpretation model of reservoir parameters is established, and the lower limit of reservoir properties is obtained. Based on the selected sensitive curves of dense oil, the identification method of fluid properties of dense oil was studied. Finally, a set of fine logging interpretation software is developed for tight oil in section 6. The main results are as follows: (1) according to the response characteristics of tight oil logging in section 6, the selected logging curves which are sensitive to dense oil include natural gamma curve, density curve, acoustic moveout curve. Compensation neutron curve and array induced resistivity curve. (2) the amplitude of the array inductive resistivity curve of the 6-segment array is obviously different, which indicates that the mud invasion is obvious, so it is necessary to correct the array induction resistivity. In this paper, according to the characteristics of high and low mud invasion in dense reservoirs, a method of mud resistivity intrusion correction based on radial geometry factor of array induction logging is proposed. The results are consistent with the results of Schlumberger's resistivity correction plate method. (3) the response characteristics of tight oil logging in section 6 of Gongzou area are determined through the study of "four-sex relationship", and the different calculation methods of shale content and porosity are compared and analyzed. It is found that the accuracy of calculating shale content by natural gamma value is higher than that by density value. The correlation between porosity and permeability is determined by analyzing the core experimental data, which is used to calculate the permeability of the working area. Then, by using the experimental data of rock electricity in the working area and regressing to get the value of "A ~ (B)" in the Archie formula, a high-precision interpretation model of reservoir parameters is established. Finally, the pore saturation relationship, productivity analysis and empirical statistics are used to determine the lower limit of physical properties of Chang 6 reservoir: porosity is 6.4m, permeability is 0.035mD. (4) according to the selected logging curves sensitive to tight oil, In this paper, a new pore electric parameter ODI, is proposed to identify the fluid properties of tight oil, which is analyzed and compared with acoustic-electric two parameter cross plot method, intrusion characteristic analysis method, three porosity overlap method, differential analysis method, and so on. It is found that the new parameter ODI method is the best method for identifying the fluid properties of dense oil. (5) the above methods are integrated and programmed by Fortran language. A set of fine logging interpretation software (Logtofi). For tight oil of Chang-6 formation in Huqing area was formed on the platform of LEAD. The software runs stably and the processing results are reliable, which meets the requirements of perforating fracturing engineering for the evaluation of tight oil logging.
【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P618.13;P631.81

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