本文關(guān)鍵詞：硫酸鹽垢對(duì)采油指數(shù)的影響研究　出處：《西南石油大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 預(yù)測(cè)模型 硫酸鋇 采油指數(shù) 驅(qū)替實(shí)驗(yàn) 擴(kuò)散項(xiàng)

【摘要】：油田生產(chǎn)過程中,注水開采是常用的提高油井產(chǎn)能的重要措施之一。但是,由于注水過程中儲(chǔ)層環(huán)境因素的改變,以及注入水與地層水的不配伍現(xiàn)象,儲(chǔ)層與井筒都可能出現(xiàn)結(jié)垢問題。其中,硫酸鹽垢由于其溶解度極低,一旦生成將很難去除,這將嚴(yán)重影響油田的正常生產(chǎn)。因此,針對(duì)硫酸鹽垢的特點(diǎn),建立并完善相應(yīng)的動(dòng)態(tài)結(jié)垢預(yù)測(cè)模型,研究結(jié)垢對(duì)采油指數(shù)的影響,對(duì)于制定油田生產(chǎn)過程中的防垢除垢措施具有積極意義。本文主要涉及以下幾個(gè)方面：首先,在國(guó)內(nèi)外結(jié)垢預(yù)測(cè)模型調(diào)研基礎(chǔ)上,對(duì)硫酸鋇結(jié)垢機(jī)理與預(yù)測(cè)進(jìn)行了研究,歸納了硫酸鋇垢的特點(diǎn)和主要影響因素,為深入研究硫酸鋇結(jié)垢預(yù)測(cè)模型提供理論支撐。其次,研究了成垢離子濃度分布模型和含擴(kuò)散項(xiàng)的巖心一維結(jié)垢預(yù)測(cè)模型,對(duì)相關(guān)參數(shù)進(jìn)行了修正,并優(yōu)化了獲取模型參數(shù)的實(shí)驗(yàn)方法,且證明了該方法的合理性。然后,研究了硫酸鋇結(jié)垢量分布、結(jié)垢總量以及最大結(jié)垢量對(duì)采油指數(shù)的影響,并進(jìn)行預(yù)測(cè)。具體成果如下：(1)用圖像法實(shí)現(xiàn)了成垢離子濃度分布模型的求解,獲得了動(dòng)力學(xué)系數(shù)和儲(chǔ)層損害系數(shù),并模擬了驅(qū)替實(shí)驗(yàn)過程中巖心內(nèi)成垢離子濃度分布情況；(2)引入擴(kuò)散項(xiàng),用漸進(jìn)展開法實(shí)現(xiàn)了模型的求解,結(jié)合巖心擴(kuò)散實(shí)驗(yàn)和巖心穩(wěn)態(tài)驅(qū)替實(shí)驗(yàn)的數(shù)據(jù)擬合得到無(wú)因次擴(kuò)散系數(shù)和無(wú)因次動(dòng)力學(xué)系數(shù)；(3)基于含擴(kuò)散項(xiàng)的巖心一維結(jié)垢預(yù)測(cè)模型進(jìn)行了瞬態(tài)分析,研究了在驅(qū)替實(shí)驗(yàn)過程中硫酸鋇垢的結(jié)垢量分布隨時(shí)間、空間的變化,并分析了巖心非均質(zhì)性、驅(qū)替速度、驅(qū)替時(shí)間和注入離子濃度比等因素對(duì)預(yù)測(cè)結(jié)果的影響；(4)修正了近井地帶地層一維結(jié)垢預(yù)測(cè)模型,推導(dǎo)出結(jié)垢量與采油指數(shù)的關(guān)系式,研究了結(jié)垢量分布、結(jié)垢總量以及最大結(jié)垢量對(duì)采油指數(shù)的影響。
[Abstract]:Water injection production is one of the most important measures to improve the productivity of oil wells during oilfield production. However, due to the change of reservoir environmental factors and the incompatibility of injected water and formation water in the process of water injection. There may be scaling problems in both reservoir and wellbore. Sulfate scale is difficult to remove once it is formed due to its low solubility, which will seriously affect the normal production of oil fields. Therefore, aiming at the characteristics of sulfate scale. Establish and perfect the corresponding dynamic scaling prediction model to study the effect of scaling on oil recovery index. This paper mainly involves the following aspects: first, on the basis of scale prediction model research at home and abroad. The barium sulfate scaling mechanism and prediction are studied, the characteristics and main influencing factors of barium sulfate scale are summarized, which provides theoretical support for further study of barium sulfate scaling prediction model. The model of ion concentration distribution in scale formation and the one-dimensional scaling prediction model with diffusion term are studied. The related parameters are modified and the experimental method for obtaining model parameters is optimized. And the rationality of the method is proved. Secondly, the influence of barium sulfate scaling amount distribution, total scaling amount and maximum scaling amount on oil recovery index is studied. The specific results are as follows: 1) the model of ion concentration distribution is solved by image method, and the kinetic coefficient and reservoir damage coefficient are obtained. The distribution of scaling ion concentration in the core during the displacement experiment is simulated. 2) introducing diffusion term, the model is solved by progressive expansion method, and the dimensionless diffusion coefficient and dimensionless kinetic coefficient are obtained by fitting the data of core diffusion experiment and core steady displacement experiment. (3) based on the one-dimensional scaling prediction model with diffusion term, the transient analysis is carried out, and the variation of barium sulfate scaling amount distribution with time and space during displacement experiment is studied, and the heterogeneity of core is analyzed. The influence of displacement velocity, displacement time and ion concentration ratio on the prediction results; (4) the one-dimensional scaling prediction model in the near-well zone is modified, the relationship between scaling amount and oil recovery index is derived, and the influence of scaling amount distribution, total scaling amount and maximum scaling amount on oil recovery index is studied.
【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TE358.5

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