【摘要】：隨著全球性油氣勘探與開發(fā)工作的深化,低含油飽和度油氣藏引起了廣泛的重視。當(dāng)前對(duì)低含油飽和度油氣層的識(shí)別評(píng)價(jià)是測(cè)井處理解釋領(lǐng)域中專家們普遍關(guān)注的難題。由于低飽和度油藏的測(cè)井響應(yīng)特征復(fù)雜,給油水層的流體性質(zhì)識(shí)別和產(chǎn)能評(píng)價(jià)帶來了很多困難。為了提高測(cè)井解釋符合率,針對(duì)該類油藏的評(píng)價(jià)難點(diǎn),本論文以蠡縣斜坡構(gòu)造帶低含油飽和度儲(chǔ)層為研究對(duì)象,開展了蠡縣斜坡低飽和度油藏的評(píng)價(jià)方法研究。通過進(jìn)行蠡縣斜坡低飽和度油氣層的測(cè)井響應(yīng)特征影響因素分析,在巖電、取心、壓汞等實(shí)驗(yàn)數(shù)據(jù)的基礎(chǔ)上,進(jìn)行了儲(chǔ)層四性關(guān)系研究,總結(jié)出研究區(qū)低含油飽和度油氣層的形成與低油藏幅度、巖石顆粒細(xì)且粒徑分布集中、高束縛水飽和度、低滲透率以及復(fù)雜孔隙結(jié)構(gòu)等因素有關(guān)。在巖石物理分析的前提下,用能夠反映儲(chǔ)層特征的測(cè)井響應(yīng)曲線建立了孔隙度、滲透率等儲(chǔ)層參數(shù)定量解釋模型。本文結(jié)合巖電實(shí)驗(yàn)數(shù)據(jù)和壓汞實(shí)驗(yàn)數(shù)據(jù),給出了阿爾奇公式法、Simandoux公式法和毛管壓力法計(jì)算含水飽和度,在高阻段取阿爾奇公式法和毛管壓力法所得含水飽和度的平均值,在低阻段取Simandoux公式和毛管壓力法計(jì)算所得含水飽和度的平均值。在低含油飽和度流體性質(zhì)評(píng)價(jià)和產(chǎn)能評(píng)價(jià)方面,結(jié)合油水層特征定性解釋,以單井、多井、平面展布等多種形式,建立了基于鈣質(zhì)含量的流體識(shí)別方法,形成了以陣列感應(yīng)、核磁共振測(cè)井為主導(dǎo)的油水層識(shí)別方法和產(chǎn)能評(píng)價(jià)方法,建立了陣列感應(yīng)與孔隙結(jié)構(gòu)相結(jié)合的產(chǎn)能評(píng)價(jià)標(biāo)準(zhǔn)。實(shí)際應(yīng)用表明,本文給出的方法適用于蠡縣斜坡低飽和度油藏測(cè)井評(píng)價(jià),提高了測(cè)井解釋精度。
[Abstract]:With the deepening of global oil and gas exploration and development, low oil saturation reservoirs have attracted extensive attention. At present, the identification and evaluation of oil and gas reservoirs with low oil saturation is a difficult problem that experts generally pay attention to in the field of log processing and interpretation. Because of the complex logging response characteristics of low saturation reservoirs, it is difficult to identify the fluid properties and evaluate the productivity of oil and water reservoirs. In order to improve the coincidence rate of log interpretation, aiming at the difficulty of evaluating this kind of reservoir, this paper takes the low oil saturation reservoir of Lixian slope structural belt as the research object, and develops the evaluation method of Lixian slope low saturation reservoir. On the basis of the experimental data of rock electricity, coring, mercury injection and other experimental data, the four properties of reservoir were studied by analyzing the factors affecting the logging response characteristics of low saturation oil and gas reservoirs on Lixian slope. It is concluded that the formation of oil and gas reservoirs with low oil saturation in the study area is related to the factors such as low reservoir amplitude, fine rock particle size distribution, high irreducible water saturation, low permeability and complex pore structure. On the premise of rock physical analysis, a quantitative interpretation model of reservoir parameters, such as porosity and permeability, is established by using logging response curve which can reflect reservoir characteristics. Based on the experimental data of rock electricity and mercury injection, this paper presents the calculation of water saturation by Archie formula method, Simandoux formula method and capillary pressure method, and the average value of water saturation obtained by using Archie formula method and capillary pressure method in high resistance section. Simandoux formula and capillary pressure method are used to calculate the average water saturation in the low resistance section. In the aspect of fluid property evaluation and productivity evaluation of low oil saturation, combined with qualitative interpretation of oil-water layer characteristics, a fluid identification method based on calcium content was established in many forms, such as single well, multi-well, plane distribution and so on, resulting in array induction. Nuclear magnetic resonance logging (NMR) is the dominant method for oil-water reservoir identification and productivity evaluation, and a productivity evaluation standard combining array induction and pore structure is established. The practical application shows that the method presented in this paper is suitable for logging evaluation of low saturation reservoirs on Lixian slope and improves the precision of log interpretation.
【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P618.13;P631.81

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本文編號(hào)：2392646