本文關(guān)鍵詞：普?qǐng)D馬約盆地C油藏裂縫描述及數(shù)值模擬研究　出處：《中國地質(zhì)大學(xué)(北京)》2016年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 成像測(cè)井 裂縫描述 地質(zhì)建模 油藏?cái)?shù)值模擬 開發(fā)指標(biāo)

【摘要】：普?qǐng)D馬約盆地C油藏位于哥倫比亞東南部,為疏松含礫砂巖裂縫性稠油油藏,原油重度9.5oAPI。2011年11月開始試采,進(jìn)行直井、水平井冷采及蒸汽吞吐的產(chǎn)油能力測(cè)試,由于裂縫發(fā)育的非均質(zhì)性強(qiáng),單井產(chǎn)能差異很大,目前采出程度僅有0.2%,為了經(jīng)濟(jì)有效地開發(fā)該油藏,開展本次研究。有很多地質(zhì)因素會(huì)影響到裂縫的發(fā)育,而且,這些因素之間又相互作用,這樣,就很難對(duì)裂縫的發(fā)育進(jìn)行比較準(zhǔn)確的描述和預(yù)測(cè)。本文大量調(diào)研了國內(nèi)外的裂縫預(yù)測(cè)技術(shù)、裂縫儲(chǔ)層建模、數(shù)植模擬以及其他的開發(fā)技術(shù),在此基礎(chǔ)上,利用成像測(cè)井、地震曲率屬性、試井?dāng)?shù)據(jù)和泥漿漏失數(shù)據(jù)等分析C油藏裂縫的發(fā)育規(guī)律;分析地震曲率屬性和井裂縫密度的關(guān)系,用地震屬性做約束,從井出發(fā)進(jìn)行反演,對(duì)裂縫密度空間分布規(guī)律進(jìn)行預(yù)測(cè);隨后,建立裂縫模型與基質(zhì)模型;分析流體性質(zhì)和生產(chǎn)動(dòng)態(tài),進(jìn)行油藏?cái)?shù)值模擬研究,結(jié)合常規(guī)油藏工程研究,優(yōu)選了適合C油藏的開發(fā)方式、井型、井網(wǎng)以及注采參數(shù)等,設(shè)計(jì)并優(yōu)選了油藏開發(fā)方案。取得的創(chuàng)新性研究成果如下:1、采用全局優(yōu)化掃描算法對(duì)地震同相軸進(jìn)行高精度掃描,以此為基礎(chǔ)計(jì)算出了高精度的地震曲率屬性。多尺度地震曲率屬性可以很好地定性預(yù)測(cè)C油藏的裂縫,高曲率與裂縫發(fā)育層段密切相關(guān),而平面的曲率展布特征也與井裂縫走向密切相關(guān)。2、在裂縫密度反演時(shí)引入徑向基函數(shù)神經(jīng)網(wǎng)絡(luò)技術(shù),融合地質(zhì)統(tǒng)計(jì)和神經(jīng)網(wǎng)絡(luò)技術(shù),從而在地質(zhì)統(tǒng)計(jì)和多屬性驅(qū)動(dòng)的基礎(chǔ)上進(jìn)行反演,這樣既能得到穩(wěn)定的反演結(jié)果,又能體現(xiàn)地震多屬性對(duì)反演結(jié)果的非線性約束。3、以冷采和蒸汽吞吐理論為基礎(chǔ),對(duì)C油藏進(jìn)行開發(fā)參數(shù)優(yōu)選研究,設(shè)計(jì)4套以水平井為主的冷采方案,并在優(yōu)選出的冷采方案中選擇適合熱采的井在適當(dāng)時(shí)候轉(zhuǎn)蒸汽吞吐。重新利用老井5口,部署新井22口,其中15口井轉(zhuǎn)蒸汽吞吐,預(yù)計(jì)合同期末采收率可以達(dá)到12.8%,含水96.6%。研究成果在生產(chǎn)實(shí)踐中取得了很好的應(yīng)用效果,對(duì)今后此類油藏的研究和開發(fā)工作也具有比較強(qiáng)的借鑒意義。
[Abstract]:The C reservoir in Putumayo Basin is located in the southeast of Colombia. It is a fractured heavy oil reservoir with loose gravel sandstone. The crude oil heavy 9.5oAPI.2011 began to test production and carry on the vertical well in November. Due to the strong heterogeneity of fracture development and the difference of single well productivity, the production capacity of horizontal well is only 0.2cm, in order to develop the reservoir economically and effectively, the oil production capacity of horizontal well is tested by cold production and steam huff and puff, because of the strong heterogeneity of fracture development. There are many geological factors that affect the development of fractures, and these factors interact with each other. It is very difficult to describe and predict the development of fractures accurately. This paper has investigated a large number of domestic and foreign fracture prediction technology, fracture reservoir modeling, digital simulation and other development techniques, on this basis. Using imaging logging, seismic curvature attribute, well test data and mud leakage data to analyze the fracture development rule of C reservoir. The relationship between seismic curvature attribute and well fracture density is analyzed. Seismic attribute is used as constraint, inversion is carried out from well, and the spatial distribution law of fracture density is predicted. Then, the fracture model and matrix model are established. Analysis of fluid properties and production performance, reservoir numerical simulation research, combined with conventional reservoir engineering research, the optimal selection of C reservoir development mode, well type, well pattern and injection-production parameters, etc. The reservoir development scheme is designed and optimized. The innovative research results are as follows: 1. The global optimization scanning algorithm is used to scan the seismic cophase axis with high accuracy. Based on this, the high precision seismic curvature attribute is calculated. The multi-scale seismic curvature attribute can predict the fracture of C reservoir qualitatively, and the high curvature is closely related to the fracture development zone. The curvature distribution characteristics of the plane are also closely related to the well fracture strike. The radial basis function neural network technology is introduced in the inversion of fracture density, which combines geological statistics and neural network technology. The inversion is based on geostatistics and multi-attribute driving, which can not only obtain the stable inversion results, but also reflect the nonlinear constraint of seismic multi-attributes on the inversion results. 3. Based on the theory of cold production and steam huff and puff, the development parameters of C reservoir are optimized and four sets of cold recovery schemes are designed. At the same time, the wells suitable for thermal recovery should be converted to steam huff and puff at the right time. Five old wells were reused and 22 new wells were deployed, of which 15 wells were converted to steam huff and puff. It is expected that the recovery factor can reach 12.8 and the water content is 96.6. the research results have achieved good application effect in the production practice. It is also useful for future research and development of this kind of reservoir.
【學(xué)位授予單位】：中國地質(zhì)大學(xué)(北京)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TE319

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