發(fā)布時(shí)間：2018-07-21 15:45

【摘要】：隨著低滲透油氣藏在我國油氣產(chǎn)量中所占比重的持續(xù)增大，，我國未來油氣產(chǎn)量穩(wěn)產(chǎn)增產(chǎn)將更多地依靠低滲透油氣藏，低滲透油氣藏正成為中國油氣產(chǎn)量增長的主體和儲量接替的重要貢獻(xiàn)者，而水平井技術(shù)結(jié)合大規(guī)模壓裂技術(shù)已經(jīng)成為開發(fā)低滲透油氣藏的主要手段。水平井裂縫參數(shù)的優(yōu)化，對指導(dǎo)水平井壓裂改造，提高水平井產(chǎn)能和經(jīng)濟(jì)效益具有重要意義；生產(chǎn)動態(tài)分析是油藏治理挖潛，提高整體開發(fā)效果與經(jīng)濟(jì)效益的重要保障。 本文在紅河油田長8油藏儲層特征研究的基礎(chǔ)上，研究了該油藏的滲流規(guī)律；研究了影響低滲透油藏壓裂水平井產(chǎn)能的主要因素，采用灰色關(guān)聯(lián)分析法，結(jié)合紅河油田196口水平井的壓裂數(shù)據(jù)，研究確定了16個影響因素及其對壓裂水平井產(chǎn)能影響的顯著性；采用數(shù)值模擬法，研究了裂縫條數(shù)、裂縫長度和水平井長度等參數(shù)對壓裂水平井的產(chǎn)能影響規(guī)律。研究表明：對于特定油藏，裂縫條數(shù)、裂縫長度和水平井長度等參數(shù)與水平井產(chǎn)能之間存在最優(yōu)化關(guān)系；結(jié)合紅河油田196口壓裂水平井的資料，建立了基于BP神經(jīng)網(wǎng)絡(luò)方法的壓裂水平井產(chǎn)能預(yù)測方法；采用傳統(tǒng)和現(xiàn)代生產(chǎn)動態(tài)分析方法對紅河長8油藏進(jìn)行了動態(tài)分析，確定了儲層特性參數(shù)。采用多種方法對油藏的產(chǎn)量及產(chǎn)水規(guī)律進(jìn)行了研究，確定了適合該油田產(chǎn)量及含水率的預(yù)測方法，為該油田的綜合治理和增產(chǎn)挖潛提供了依據(jù)。 本文所建立的基于BP神經(jīng)網(wǎng)絡(luò)的壓裂水平井產(chǎn)能預(yù)測方法，對于指導(dǎo)低滲透油藏進(jìn)行壓裂優(yōu)化設(shè)計(jì)，提高壓裂增產(chǎn)效果具有普遍指導(dǎo)意義和應(yīng)用價(jià)值。采用對離散非對稱性的生產(chǎn)數(shù)據(jù)進(jìn)行規(guī)格化處理，進(jìn)而采用現(xiàn)代生產(chǎn)動態(tài)分析方法進(jìn)行分析，不僅提高了分析結(jié)果的可靠性，而且能夠獲取更多的油氣藏信息，該方法對于大量缺少不穩(wěn)定試井資料的低產(chǎn)機(jī)械采油井的動態(tài)分析提供了有效途徑。本文研究成果對于其它低滲透油藏的開發(fā)具有一定指導(dǎo)意義。
[Abstract]:With the increasing proportion of low permeability reservoirs in China's oil and gas production, the future oil and gas production and steady production increase in China will depend more on low permeability oil and gas reservoirs. Low permeability reservoirs are becoming the main body of oil and gas production growth and important contributors of reserves replacement in China, and horizontal well technology combined with large-scale fracturing technology has become the main means of developing low permeability reservoirs. The optimization of fracture parameters in horizontal wells is of great significance for guiding the fracturing reconstruction of horizontal wells and improving the productivity and economic benefits of horizontal wells, and the analysis of production performance is an important guarantee for reservoir control and tapping potential, and for improving the overall development effect and economic benefits. Based on the study of reservoir characteristics of Chang 8 reservoir in Honghe Oilfield, the percolation law of this reservoir and the main factors affecting the productivity of fractured horizontal well in low permeability reservoir are studied in this paper. Based on the fracturing data of 196 horizontal wells in Honghe Oilfield, 16 influencing factors and their significance to the productivity of horizontal wells are studied, and the number of fractures is studied by numerical simulation. The effect of fracture length and horizontal well length on the productivity of fractured horizontal well is discussed. The results show that there is an optimal relationship between the number of fractures, the length of fractures and the length of horizontal wells and the productivity of horizontal wells for certain reservoirs, and based on the data of 196 fracturing horizontal wells in Honghe Oilfield, The productivity prediction method of fracturing horizontal well based on BP neural network is established, and the performance analysis of Honghe Chang 8 reservoir is carried out by using traditional and modern production dynamic analysis method, and the reservoir characteristic parameters are determined. Several methods are used to study the production and water production law of the reservoir, and the prediction method suitable for the production and water cut of the oilfield is determined, which provides the basis for the comprehensive control of the oil field and the tapping of the potential for increasing production and water cut. The productivity prediction method based on BP neural network for horizontal well fracturing is of general guiding significance and application value for guiding the optimization design of fracturing in low permeability reservoir and improving the effect of fracturing production. The production data of discrete asymmetry are normalized and analyzed by modern production dynamic analysis method, which not only improves the reliability of the analysis results, but also can obtain more oil and gas reservoir information. This method provides an effective way for the performance analysis of a large number of low-yield mechanical oil wells which lack of unstable well test data. The research results in this paper have certain guiding significance for the development of other low permeability reservoirs.
【學(xué)位授予單位】：重慶科技學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TE331

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 毛虎;李勇明;郭建春;鐘燁;徐兵威;;利用灰色關(guān)聯(lián)法分析壓后產(chǎn)能影響因素[J];重慶科技學(xué)院學(xué)報(bào)(自然科學(xué)版);2011年01期

2 王金多;劉國靜;秦凱峰;鄭麗坤;呂建榮;;產(chǎn)量自然遞減類型的綜合判斷及構(gòu)成分析[J];斷塊油氣田;2007年02期

3 袁慶峰;認(rèn)識油田開發(fā)規(guī)律 科學(xué)合理開發(fā)油田[J];大慶石油地質(zhì)與開發(fā);2004年05期

4 范子菲，林志芳;邊水驅(qū)油藏水平井產(chǎn)能公式研究[J];大慶石油地質(zhì)與開發(fā);1994年02期

5 王志平;朱維耀;岳明;高英;趙光杰;王海慶;;低、特低滲透油藏壓裂水平井產(chǎn)能計(jì)算方法[J];北京科技大學(xué)學(xué)報(bào);2012年07期

6 邵秀鳳,張健;基于正則化模糊神經(jīng)網(wǎng)絡(luò)的油井壓裂效果預(yù)測[J];計(jì)算機(jī)工程與應(yīng)用;2005年23期

7 牛栓文;崔傳智;陳翰;;低滲透油藏壓裂水平井產(chǎn)能預(yù)測研究[J];科學(xué)技術(shù)與工程;2013年03期

8 魏建光;汪志明;張欣;;裂縫參數(shù)對壓裂水平井產(chǎn)能影響規(guī)律分析及重要性排序[J];水動力學(xué)研究與進(jìn)展A輯;2009年05期

9 童憲章;;天然水驅(qū)和人工注水油藏的統(tǒng)計(jì)規(guī)律探討[J];石油勘探與開發(fā);1978年06期

10 范子菲;;底水驅(qū)動油藏水平井產(chǎn)能公式研究[J];石油勘探與開發(fā);1993年01期

相關(guān)博士學(xué)位論文 前1條

1 劉巖;低滲儲層裂縫特征及其對油氣富集的控制作用[D];成都理工大學(xué);2013年

本文編號：2135998