新疆油田超稠油蒸汽吞吐產量遞減率預測新方法
發(fā)布時間:2019-01-02 07:46
【摘要】:針對目前超稠油油藏常用遞減率預測方法無法直接反映儲集層關鍵參數的問題,基于遞減理論和超稠油油藏蒸汽吞吐遞減特征,結合油藏動態(tài)分析、數值模擬等方法對影響超稠油遞減的主要因素進行敏感性分析,確定主控因素為有效厚度、原油黏度、注汽干度。運用模糊數學層次分析法確定遞減影響因素權重,通過主控因素與初始遞減率的相關性分析和多元回歸,建立初始遞減率預測模型和遞減率預測圖版。應用實例表明,該方法預測的超稠油蒸汽吞吐遞減率與實際遞減率相對誤差小于5%。該研究為今后超稠油蒸汽吞吐合理產量預測奠定了基礎。
[Abstract]:Aiming at the problem that the commonly used decline rate prediction method can not directly reflect the key parameters of reservoir at present, based on decline theory and steam huff and puff decline characteristics of super heavy oil reservoir, combined with reservoir performance analysis, The main factors influencing the decline of super heavy oil are analyzed by numerical simulation, and the main controlling factors are effective thickness, viscosity of crude oil and dry degree of steam injection. Fuzzy analytic hierarchy process (AHP) is used to determine the weight of decline influencing factors. Through the correlation analysis and multivariate regression between the main control factors and the initial decline rate, the prediction model of the initial decline rate and the prediction chart of the decline rate are established. The application example shows that the relative error between the steam huff and puff decline rate predicted by this method and the actual decline rate is less than 5. This study lays a foundation for the prediction of the reasonable output of steam huff and puff of super heavy oil in the future.
【作者單位】: 中國石油新疆油田分公司;
【基金】:國家科技重大專項“薄層稠油和超稠油開發(fā)技術”(2011ZX05012-004) 中國石油油氣開發(fā)重大專項“淺層稠油、超稠油開發(fā)技術研究”(2012E-34-05)
【分類號】:TE345
本文編號:2398213
[Abstract]:Aiming at the problem that the commonly used decline rate prediction method can not directly reflect the key parameters of reservoir at present, based on decline theory and steam huff and puff decline characteristics of super heavy oil reservoir, combined with reservoir performance analysis, The main factors influencing the decline of super heavy oil are analyzed by numerical simulation, and the main controlling factors are effective thickness, viscosity of crude oil and dry degree of steam injection. Fuzzy analytic hierarchy process (AHP) is used to determine the weight of decline influencing factors. Through the correlation analysis and multivariate regression between the main control factors and the initial decline rate, the prediction model of the initial decline rate and the prediction chart of the decline rate are established. The application example shows that the relative error between the steam huff and puff decline rate predicted by this method and the actual decline rate is less than 5. This study lays a foundation for the prediction of the reasonable output of steam huff and puff of super heavy oil in the future.
【作者單位】: 中國石油新疆油田分公司;
【基金】:國家科技重大專項“薄層稠油和超稠油開發(fā)技術”(2011ZX05012-004) 中國石油油氣開發(fā)重大專項“淺層稠油、超稠油開發(fā)技術研究”(2012E-34-05)
【分類號】:TE345
【相似文獻】
相關期刊論文 前10條
1 熊敏,李光,,張勇;油田配產中年遞減率與月遞減率相互關系的研究[J];石油勘探與開發(fā);1994年02期
2 熊敏,李光;產量遞減率曲線圖版的制作及應用[J];石油勘探與開發(fā);1996年04期
3 張宗達,鄧維佳,胡海燕;油田現行的產量遞減率計算方法及分析[J];西南石油學院學報;1998年02期
4 李發(fā)印;張剛鑫;;油氣田產量遞減率變化規(guī)律及其應用[J];中國科技信息;2006年11期
5 王中敏;;油田產量遞減率和產能遞減率的意義及應用[J];內蒙古石油化工;2012年18期
6 田曉東;王鳳蘭;石成方;方艷君;王天智;王月艷;;大慶喇薩杏油田產量遞減率變化規(guī)律[J];石油學報;2006年S1期
7 王華;;濱南油田儲量評估方法研究[J];科技信息;2013年03期
8 韓艷巍;;鉆關遞減率的合理控制[J];科技促進發(fā)展;2010年S1期
9 張雄君,程林松,李春蘭;灰色關聯分析法在產量遞減率影響因素分析中的應用[J];油氣地質與采收率;2004年06期
10 高文君;王嵐;楊永利;;水驅油田遞減率多因素分析模型的建立及應用[J];吐哈油氣;2004年03期
相關會議論文 前1條
1 王亞妮;高志亮;孫少波;高鵬;;數字油田與油井生產過程遞減率及其算法研究[A];第十二屆中國青年信息與管理學者大會論文集[C];2010年
本文編號:2398213
本文鏈接:http://sikaile.net/kejilunwen/shiyounenyuanlunwen/2398213.html
教材專著