本文關(guān)鍵詞： 低滲透 產(chǎn)量遞減 影響因素 遞減類型 遞減模型　出處：《西南石油大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：低滲氣藏遞減規(guī)律對氣藏的動態(tài)預(yù)測和生產(chǎn)規(guī)劃工作具有重大意義,針對低滲氣藏氣井產(chǎn)量遞減存在遞減類型判識不準(zhǔn)確導(dǎo)致遞減規(guī)律認(rèn)識不清等問題,本文從傳統(tǒng)Arps遞減類型判識、遞減率及影響因素和產(chǎn)氣量變化3個方面開展了以下研究:首先是遞減類型判識方法研究。針對傳統(tǒng)Arps方法通過線性相關(guān)系數(shù)來判定遞減類型造成氣井遞減類型判識難度大,提出以現(xiàn)代產(chǎn)量不穩(wěn)定分析法評價動儲量為標(biāo)準(zhǔn),通過對比不同遞減類型下氣井技術(shù)可采儲量來優(yōu)選遞減類型;另從Arps雙曲遞減通式出發(fā),推導(dǎo)并繪制了不同n值情況下無因次遞減率和采出程度的圖版,圖版法可快速獲得n的值,實例表明圖版法與不穩(wěn)定分析動儲量評價法結(jié)果基本一致。然后是遞減率影響因素研究。氣井遞減率隨生產(chǎn)時間不斷變化,且與儲層、工作制度等有關(guān),建立典型低滲氣井單井?dāng)?shù)值模型,運用單因素分析法,研究遞減率變化規(guī)律及其主要影響因素。結(jié)果表明,氣井遞減率呈快速和緩慢遞減兩個階段,氣井進(jìn)入遞減期2～3年后遞減率趨于穩(wěn)定;遞減率隨著滲透率、含氣飽和度、井口壓力的增加而增加,隨孔隙度、井控儲量的增加而減小;生產(chǎn)后期遞減率不隨儲層厚度、初期配產(chǎn)、地層壓力變化而改變。采用正交試驗設(shè)計方法,確定出井控儲量和滲透率為影響低滲氣井產(chǎn)量遞減的主控因素。其次是遞減率模型的建立。針對井控儲量、滲透率、地層壓力和配產(chǎn)氣量等4個主要影響因素,運用響應(yīng)曲面設(shè)計,回歸遞減率與各因子非線性模型,以快速準(zhǔn)確地預(yù)測出遞減率,且能夠避免傳統(tǒng)Arps方法遞減類型的判識。根據(jù)預(yù)測模型,井控儲量越大,滲透率越小,遞減率越小。為降低氣井生產(chǎn)過程中產(chǎn)量遞減率,建議綜合考慮各參數(shù)對遞減率的影響,盡量提高氣井的井控儲量。最后是產(chǎn)氣量遞減模型研究。直接從低滲透氣井產(chǎn)量遞減曲線的特征入手,改進(jìn)了冪律產(chǎn)量遞減模型,使其物理意義明確,國內(nèi)外實例氣井表明,改進(jìn)模型比冪律模型擬合精度更高;針對遞減指數(shù)在遞減過程中不斷變化,推導(dǎo)了新的產(chǎn)量遞減分析模型,實例分析證明新模型對低滲致密氣藏產(chǎn)量遞減分析具有很好的適用性。
[Abstract]:The decline law of low permeability gas reservoir is of great significance to the performance prediction and production planning of gas reservoir. This paper is based on the traditional Arps decline type. The following studies have been carried out in the following three aspects: decline rate and influencing factors and change of gas production:. The traditional Arps method is difficult to identify the decline type of gas wells by linear correlation coefficient. It is put forward that dynamic reserves can be evaluated by modern production instability analysis method, and the decline type can be selected by comparing the recoverable reserves of gas wells under different decline types. In addition, based on the general formula of Arps hyperbolic decline, the dimensionless decline rate and the extraction degree are derived and plotted under different n values. The chart method can get n value quickly. Examples show that the results of chart plate method and unstable analysis dynamic reserve evaluation method are basically consistent. Then there is a study on the influencing factors of decline rate. The decline rate of gas wells changes with production time and is related to reservoir and working system. The numerical model of single well in typical low permeability gas well is established. The variation law of decline rate and its main influencing factors are studied by single factor analysis. The results show that the decline rate of gas well is in two stages of rapid and slow decline. The decline rate of gas wells tends to be stable after entering the decline period of 2 ~ 3 years. The decline rate increases with the increase of permeability, gas saturation and wellhead pressure, and decreases with the increase of porosity and well control reserves. The decline rate of late production does not change with reservoir thickness, initial production and formation pressure. The orthogonal design method is used. It is determined that the well controlled reserves and permeability are the main factors influencing the production decline of low permeability gas wells, and the second is the establishment of decline rate model, aiming at the four main influencing factors: well controlled reserves, permeability, formation pressure and gas production. By using response surface design, regression decline rate and nonlinear model of each factor, the decline rate can be predicted quickly and accurately, and the recognition of decline type of traditional Arps method can be avoided. The larger the well control reserves, the smaller the permeability, and the smaller the decline rate. In order to reduce the production decline rate in the production process of gas wells, it is suggested that the influence of various parameters on the decline rate should be considered synthetically. Finally, the gas production decline model is studied. Starting with the characteristics of the production decline curve of low permeability gas wells, the power law production decline model is improved to make its physical significance clear. Examples at home and abroad show that the improved model is more accurate than the power law model. In view of the continuous change of decline index in the process of decline, a new model of production decline analysis is derived. The case study shows that the new model is suitable for the analysis of production decline in low permeability tight gas reservoirs.
【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】：TE328

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 邊志家 ,劉淑敏 ,徐龍海;用電能方法提高油氣井產(chǎn)量的發(fā)明概述[J];大慶石油地質(zhì)與開發(fā);1990年04期

2 朱斌;馮曦;劉曉旭;金連善;;裂縫—孔隙型氣藏氣井產(chǎn)量變化特征分析[J];天然氣勘探與開發(fā);2008年02期

3 吳月先;;天然氣井產(chǎn)量折算方法系列[J];新疆石油科技;2000年02期

4 王磊;;氣井產(chǎn)量遞減理論分析[J];中國石油和化工標(biāo)準(zhǔn)與質(zhì)量;2013年05期

5 朱豫川;劉建儀;張廣東;朱得利;李進(jìn);;氣井產(chǎn)量遞減規(guī)律分析方法對比分析[J];天然氣勘探與開發(fā);2009年01期

6 張茂林;梅海燕;劉堯文;張曉輝;張娟;;水平氣井產(chǎn)量公式對比及影響因素分析[J];鉆采工藝;2013年03期

7 陳元千;孫兵;姜鳳光;姚尚林;;半球形流氣井產(chǎn)量公式的推導(dǎo)與應(yīng)用[J];油氣井測試;2009年03期

8 李閩;鄒建波;梁彬;;異常高壓氣藏氣井產(chǎn)量遞減自動擬合模型[J];鉆采工藝;2006年06期

9 賴楓鵬;李治平;岑芳;許進(jìn)進(jìn);;利用移動平均法預(yù)測油氣井產(chǎn)量[J];油氣井測試;2007年01期

10 吳建發(fā);馮曦;劉義成;朱斌;賈永祿;;三孔雙滲氣藏氣井產(chǎn)量的變化特征及應(yīng)用[J];鉆采工藝;2010年04期

相關(guān)重要報紙文章 前3條

1 記者 楊文禮 通訊員 唐雄鳳;巧除病根 長慶蘇中低產(chǎn)氣井產(chǎn)量持續(xù)走高[N];中國石油報;2014年

2 特約記者 李傳富　通訊員 熊啟華;蜀南氣礦18年老井措施日增氣3.2萬立方米[N];中國石油報;2010年

3 記者 楊文禮 通訊員 李小玲;清潔轉(zhuǎn)向酸提高氣井產(chǎn)量[N];中國石油報;2014年

相關(guān)碩士學(xué)位論文 前4條

1 陳余;低滲氣藏氣井產(chǎn)量遞減分析及預(yù)測方法研究[D];西南石油大學(xué);2017年

2 徐德權(quán);氣井產(chǎn)量不穩(wěn)定分析模型及其影響因素研究[D];西南石油大學(xué);2014年

3 梁彬;氣井產(chǎn)量遞減分析[D];西南石油學(xué)院;2005年

4 孟凡龍;壓裂氣井產(chǎn)量預(yù)測模型建立及應(yīng)用[D];西南石油大學(xué);2014年

，

本文編號：1490979