本文關(guān)鍵詞： 層間交互作用 主控因素 復(fù)相關(guān)系數(shù) 基于熵權(quán)的灰色關(guān)聯(lián) 數(shù)學(xué)模型　出處：《東北石油大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：目前,采油井多采用大段合采,層間交互作用較為嚴(yán)重。針對(duì)這種情況,本文分析了層間交互作用的成因機(jī)制,并在此基礎(chǔ)上確定了層間交互作用的評(píng)價(jià)方法。具體內(nèi)容如下:第一,通過查閱文獻(xiàn)并結(jié)合油田實(shí)測(cè)資料分析結(jié)果,確定層間交互作用的影響因素。包括平均滲透率、滲透率級(jí)差、平均孔隙度、總層數(shù)、總厚度、平均厚度、厚度級(jí)差、粘度、平均靜壓、靜壓級(jí)差、靜壓系數(shù)級(jí)差、平均流壓、流壓級(jí)差、合測(cè)生產(chǎn)壓差、生產(chǎn)壓差級(jí)差、分測(cè)平均含水率、合測(cè)含水率和含水率級(jí)差。第二,采用復(fù)相關(guān)系數(shù)法對(duì)層間交互作用的影響因素進(jìn)行初步篩選,綜合閾值法和極值法篩選結(jié)果,確定刪除指標(biāo),分別為總厚度和分測(cè)平均含水率。利用基于熵權(quán)的灰色關(guān)聯(lián)法計(jì)算影響因素與層間交互作用系數(shù)間的關(guān)聯(lián)度。將因素按照關(guān)聯(lián)度由大到小的順序進(jìn)行排列,依次將因素權(quán)重相加,當(dāng)因素權(quán)重加和首次大于或等于0.7時(shí),確定已進(jìn)行加和的因素為主控因素。最終確定層間交互作用主控因素為滲透率級(jí)差、層數(shù)、靜壓系數(shù)級(jí)差、合測(cè)含水率、生產(chǎn)壓差級(jí)差和流壓級(jí)差。第三,基于確定的層間交互作用主控因素,綜合考慮層數(shù)、滲透率、地層壓力、流壓、孔隙度、粘度、供給半徑、含水率、相滲以及滲流阻力等因素,并引入井筒的影響,建立了層間交互作用數(shù)學(xué)模型。最后,利用統(tǒng)計(jì)學(xué)等方法對(duì)層間交互作用機(jī)理進(jìn)行了研究,認(rèn)為層間差異越大,合采時(shí)的層間交互作用就越強(qiáng),應(yīng)實(shí)施分層開采。本文研究分析成果為油藏進(jìn)行層系劃分以及相應(yīng)的開發(fā)部署提供了一定的理論依據(jù)。
[Abstract]:At present, the production wells mostly adopt large section combined production, and the interaction between layers is more serious. In view of this situation, this paper analyzes the formation mechanism of interlaminar interaction. On this basis, the evaluation method of interlaminar interaction is determined. The specific contents are as follows: first, by consulting the literature and combining with the analysis results of oil field measured data, the influencing factors of interlaminar interaction, including the average permeability, are determined. Permeability difference, average porosity, total layer number, total thickness, average thickness, thickness differential, viscosity, mean static pressure, static pressure differential, hydrostatic coefficient differential, average flow pressure, flow pressure differential, combined measurement production pressure difference, production pressure differential, The average moisture content, the moisture content and the difference of moisture content were measured. Secondly, the factors affecting the interlayer interaction were preliminarily screened by using the complex correlation coefficient method, and the deletion index was determined by synthesizing the screening results of the threshold method and the extreme value method. The grey correlation method based on entropy weight is used to calculate the correlation degree between the influencing factors and the interlayer interaction coefficients. The factors are arranged in the order of the correlation degree from large to small. When the sum of factor weight is greater than or equal to 0.7 for the first time, the factors that have been added are determined as main control factors. Finally, the main controlling factors of interlayer interaction are permeability difference, number of layers, and differential of static pressure coefficient. Third, based on the determined interlayer interaction main control factors, considering the number of layers, permeability, formation pressure, flow pressure, porosity, viscosity, supply radius, water content, The mathematical model of interlaminar interaction is established by introducing the influence of wellbore and other factors such as phase permeability and seepage resistance. Finally, the mechanism of interlayer interaction is studied by means of statistics, and it is considered that the greater the difference between layers, the greater the interaction between layers. The stronger the interlaminar interaction is, the more stratified production should be carried out. The research and analysis of this paper provides a theoretical basis for the stratigraphic division of reservoirs and the corresponding development and deployment.
【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】：2015
【分類號(hào)】：TE31

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本文編號(hào)：1515250