本文選題：面積井網(wǎng) + 流線模擬��； 參考：《中國(guó)地質(zhì)大學(xué)(北京)》2015年碩士論文

【摘要】：流線模擬方法由于其求解速度快、穩(wěn)定性好,已經(jīng)在面積井網(wǎng)的水驅(qū)、聚合物驅(qū)等研究中得到極大的關(guān)注。本文主要研究不同面積井網(wǎng)的解析解和流線模擬,并將研究方法應(yīng)用到了低礦化度水驅(qū)開發(fā)效果評(píng)價(jià)當(dāng)中。本文首先研究了不同類型面積井網(wǎng)的穩(wěn)態(tài)滲流問題,利用多井疊加-鏡像反演原理推導(dǎo)了五點(diǎn)、反七點(diǎn)、反九點(diǎn)井網(wǎng)壓力函數(shù),構(gòu)建了對(duì)應(yīng)的流線模型。利用流線模型計(jì)算時(shí),通過引入傳播時(shí)間的概念,將二維物質(zhì)運(yùn)移方程轉(zhuǎn)換為沿著流線的一維物質(zhì)運(yùn)移方程,對(duì)于這種典型的一階擬線性偏微分方程通過特征線方法求解,即將偏微分方程轉(zhuǎn)化為常微分方程進(jìn)行求解,得到飽和度前緣運(yùn)動(dòng)方程,求解前緣運(yùn)動(dòng)方程即可得到沿著流線的飽和度場(chǎng)的變化,從而分析不同井網(wǎng)的水驅(qū)特征,并與Eclipse商業(yè)軟件對(duì)比證明了方法的正確性。對(duì)于反九點(diǎn)井網(wǎng),由于井網(wǎng)的不對(duì)稱性,其求解過程必須考慮到角邊井流量比R的影響,本文對(duì)此也做了具體的分析。R值越大,角井控制面積越大,井網(wǎng)見水時(shí)刻的波及系數(shù)也逐漸增大,見水時(shí)間越晚。本文在建立的面積井網(wǎng)流線模擬的基礎(chǔ)上,引入了低礦化度水驅(qū)模型,并詳細(xì)闡述了低礦化度水驅(qū)的作用機(jī)理,即通過改變ph值等因素影響了水驅(qū)效果。通過數(shù)值模擬與巖心實(shí)驗(yàn)的對(duì)比分析,本文驗(yàn)證了通過改變殘余油飽和度來實(shí)現(xiàn)模擬低礦化度水驅(qū)效果的有效性,并基于論文中提出的解析模型和流線模擬的結(jié)合方法,計(jì)算了五點(diǎn)井網(wǎng)低礦化度水驅(qū)開發(fā)指標(biāo)。此外,對(duì)于考慮了鹽組分的吸附等現(xiàn)象的低礦化度水驅(qū)情況,則建立了含有鹽組分物質(zhì)守恒方程的數(shù)學(xué)模型,并通過一維驅(qū)替模型數(shù)值解與解析解的比較,證明該數(shù)學(xué)模型的可靠性,隨后,又通過迎風(fēng)差分方法求解沿著流線的兩維兩相的數(shù)學(xué)模型,并分析了礦化度變化對(duì)水驅(qū)效果的影響。最后,以Yousef(2011)的巖心實(shí)驗(yàn)數(shù)據(jù)為基礎(chǔ),建立了一個(gè)簡(jiǎn)單實(shí)用的低礦化度水驅(qū)效果評(píng)價(jià)模型,并結(jié)合五點(diǎn)井網(wǎng)分析,說明了低礦化度水驅(qū)提高原油采收率的效果。
[Abstract]:Due to its high speed and good stability, streamline simulation method has been paid great attention to in the research of water flooding and polymer flooding in the area well pattern. This paper mainly studies the analytical solution and streamline simulation of different area well pattern, and applies the research method to evaluate the development effect of low salinity water flooding. In this paper, the steady seepage problem of different types of well pattern is studied, and the pressure function of five points, seven points and nine points is derived by using the multi-well superposition mirror inversion principle, and the corresponding streamline model is constructed. By introducing the concept of propagation time, the two-dimensional material transport equation is transformed into a one-dimensional material transport equation along the streamline by introducing the concept of propagation time. For this typical first-order quasi-linear partial differential equation, the characteristic line method is used to solve the equation. The partial differential equation is transformed into ordinary differential equation and the saturation front motion equation is obtained. The change of saturation field along the streamline can be obtained by solving the leading motion equation, and the water drive characteristics of different well pattern can be analyzed. Compared with Eclipse commercial software, the method is proved to be correct. For the inverse nine-spot well pattern, due to the asymmetry of the well pattern, the influence of the flow ratio R on the corner well must be taken into account in the solution process. The larger the value of .R is, the larger the control area of the corner well is. The sweep coefficient of well pattern is increasing gradually, and the time of water discovery is later. Based on the flow line simulation of area well pattern, a low salinity water drive model is introduced in this paper, and the action mechanism of low salinity water flooding is expounded in detail, that is, the effect of water flooding is affected by changing ph value and other factors Through the comparison and analysis of numerical simulation and core experiment, this paper verifies the effectiveness of simulating low salinity water flooding by changing residual oil saturation, and based on the combination of analytical model and streamline simulation proposed in this paper. The development index of low salinity water drive in five-spot well pattern is calculated. In addition, the mathematical model of conservation equation of salt component is established for low salinity water flooding considering the adsorption of salt component, and the numerical solution and analytical solution are compared by one-dimensional displacement model. The reliability of the mathematical model is proved, and then the two dimensional two-phase mathematical model along the streamline is solved by upwind difference method, and the influence of the salinity change on the water drive effect is analyzed. Finally, based on the core experimental data of Yousef2011, a simple and practical evaluation model of low salinity water flooding effect is established, and combined with five-point well pattern analysis, the effect of low salinity water flooding on oil recovery is illustrated.
【學(xué)位授予單位】：中國(guó)地質(zhì)大學(xué)(北京)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TE324

【共引文獻(xiàn)】

相關(guān)期刊論文 前7條

1 徐聯(lián)玉;尹洪軍;何應(yīng)付;楊春雷;;不滲透區(qū)域?qū)B流場(chǎng)流線分布影響研究[J];大慶石油地質(zhì)與開發(fā);2006年04期

2 郭振宇;王曉冬;湯昌福;劉翰林;楊靖;;CO_2混相驅(qū)五點(diǎn)井網(wǎng)流線模擬[J];東北石油大學(xué)學(xué)報(bào);2012年05期

3 張戈;;復(fù)雜斷塊油藏人工邊水驅(qū)提高采收率機(jī)理分析[J];斷塊油氣田;2014年04期

4 劉蘭芹;;勝坨油田整裝砂巖油藏矢量化井網(wǎng)調(diào)整技術(shù)[J];長(zhǎng)江大學(xué)學(xué)報(bào)(自科版);2014年13期

5 李金鼎;;于樓油田復(fù)雜斷塊油氣藏油氣分布特點(diǎn)及開發(fā)策略探討[J];長(zhǎng)江大學(xué)學(xué)報(bào)(自科版);2014年20期

6 尹相文;;基于滲透率時(shí)變模擬的調(diào)驅(qū)優(yōu)化決策系統(tǒng)的研制及應(yīng)用[J];科技和產(chǎn)業(yè);2015年01期

7 聶玲玲;石飛;童凱軍;;井底脫氣半徑方程建立及影響因素分析[J];重慶科技學(xué)院學(xué)報(bào)(自然科學(xué)版);2015年05期

，

本文編號(hào)：1960534