本文選題：英東地區(qū) + 產(chǎn)能評價�。� 參考：《長江大學(xué)》2015年碩士論文

【摘要】：油田勘探開發(fā)的過程中,油層產(chǎn)能評價占著十分重要地位,一方面它能評價并提高前期勘探的效果,另一方面它能為開發(fā)規(guī)劃方案提供的一些基礎(chǔ)數(shù)據(jù)。然而實現(xiàn)對儲層產(chǎn)能進(jìn)行定量、半定量的預(yù)測評價則仍處在探索階段。目前,油層產(chǎn)能評價只能通過試油、試采數(shù)據(jù)或油藏數(shù)值模擬等手段進(jìn)行預(yù)測,還沒有一套能夠利用常規(guī)測井資料預(yù)測油層產(chǎn)能的成熟方法。以滲流力學(xué)為理論基礎(chǔ)的試井分析是廣泛適用的油層產(chǎn)能評價方法,但是試井存在成本相對較高、時間長,試井分析層段有限、求取的相關(guān)參數(shù)為地層的平均值等不足。而測井技術(shù)成本較低、資料較多,可以細(xì)化到每個小層,而且測井技術(shù)幾乎貫穿油氣資源建產(chǎn)的全過程,具有很好的應(yīng)用基礎(chǔ)。本文在研究區(qū)塊儲層“四性”關(guān)系的基礎(chǔ)上,對測井滲透率、試井滲透率以及二者關(guān)系進(jìn)行分析。在文獻(xiàn)調(diào)研統(tǒng)計法測井預(yù)測產(chǎn)能方法的基礎(chǔ)上,根據(jù)研究區(qū)塊的儲層特征選用綜合產(chǎn)能指數(shù)法和多元回歸分析法對英東地區(qū)進(jìn)行產(chǎn)能評價。根據(jù)給出的油藏的物理和數(shù)值模型,結(jié)合英東地區(qū)的實際情況,分析該區(qū)復(fù)雜斷層的產(chǎn)能隨各參數(shù)的變化情況。建立徑向復(fù)合儲層模型、雙孔-復(fù)合預(yù)測模型分析了英東地區(qū)油藏的產(chǎn)能情況。研究區(qū)塊英東區(qū)塊屬于油藏,而東坪區(qū)塊屬于氣藏,并且是一個新開發(fā)的區(qū)塊,兩個區(qū)塊的物性參數(shù)和性質(zhì)不一樣,滲透率較低,非均質(zhì)嚴(yán)重。儲層主要發(fā)育石英、長石,粒度以粉砂—細(xì)砂為主,孔隙發(fā)育以原生粒間孔為主,裂縫不發(fā)育,連通性較好�；跍y井?dāng)?shù)據(jù)的產(chǎn)能評價可以貫穿油氣資源建產(chǎn)的全過程,具有很好的應(yīng)用基礎(chǔ)。但實際工作工作,需要綜合考察地質(zhì)、測試、試井等多種數(shù)據(jù),才能保證產(chǎn)能預(yù)測的可靠性。具體研究成果如下：1.在影響油藏產(chǎn)能的儲層因素中,油層有效厚度、有效滲透率是影響儲層產(chǎn)能的主要因素,孔隙度和含油飽和度也對油藏產(chǎn)量也有較明顯正相關(guān)影響。而泥質(zhì)含量則對油藏產(chǎn)量呈顯著負(fù)相關(guān)關(guān)系。2.在英東、東坪地區(qū),測井滲透率與試井滲透率有一定的相關(guān)性,可用測井滲透率計算出對應(yīng)小層的試井滲透率,為小層產(chǎn)能評價和非均值性研究奠定基礎(chǔ)。3.基于統(tǒng)計方法,采用綜合產(chǎn)能指數(shù)法和多元回歸分析法預(yù)測英東地區(qū)和東坪地區(qū)產(chǎn)能,得出結(jié)果效果較好,整體誤差小于20%。4.對于東坪區(qū)塊的氣井,給出了產(chǎn)能預(yù)測模型,并預(yù)測了產(chǎn)能,從結(jié)果看,預(yù)測的產(chǎn)能比實際試油產(chǎn)能偏小,但是偏差不大,驗證了試井滲透率與測井滲透率關(guān)系的正確性。5.利用所建立的模型,對英東砂40井產(chǎn)能進(jìn)行了預(yù)測。徑向復(fù)合模型預(yù)測產(chǎn)能偏大,雙孔-復(fù)合模型預(yù)測產(chǎn)量誤差最小,英東砂40井較符合雙孔-復(fù)合模型。
[Abstract]:In the process of oilfield exploration and development, reservoir productivity evaluation plays a very important role. On the one hand, it can evaluate and improve the effect of early exploration, on the other hand, it can provide some basic data for development planning. However, to achieve quantitative reservoir productivity, semi-quantitative prediction and evaluation is still in the exploration stage. At present, reservoir productivity evaluation can only be predicted by means of oil test, production test data or reservoir numerical simulation, and there is no mature method to predict reservoir productivity using conventional logging data. Well test analysis based on percolation mechanics is a widely applicable method for reservoir productivity evaluation. However, the cost of well testing is relatively high, the time is long, the interval of well test analysis is limited, and the relevant parameters obtained are the average value of formation, etc. The logging technology has the advantages of low cost and more data, which can be refined to every small layer, and the logging technology almost runs through the whole process of oil and gas resource construction and production, which has a good application foundation. On the basis of studying the relation of "four properties" of reservoir in block, this paper analyzes well logging permeability, well test permeability and their relationship. On the basis of literature investigation and statistics, this paper selects comprehensive productivity index method and multiple regression analysis method to evaluate productivity in Yingdong area according to reservoir characteristics of study block. According to the physical and numerical models of the reservoir and the actual situation in Yingdong area, the variation of the productivity of complex faults with various parameters in this area is analyzed. The radial composite reservoir model was established and the productivity of the reservoir in Yingdong area was analyzed by using the dual pore composite prediction model. Yingdong block belongs to reservoir, while Dongping block belongs to gas reservoir and is a newly developed block. The physical parameters and properties of the two blocks are different, the permeability is low and the heterogeneity is serious. Quartz and feldspar are mainly developed in the reservoir. The granularity is mainly silty sand and fine sand, the pore is mainly primary intergranular pore, the fracture is not developed, and the connectivity is good. The productivity evaluation based on logging data can run through the whole process of oil and gas resource production and has a good application foundation. However, in order to ensure the reliability of productivity prediction, comprehensive investigation of geology, testing, well testing and other data is necessary for practical work. Specific research results are as follows: 1. Among the reservoir factors affecting reservoir productivity, effective reservoir thickness and effective permeability are the main factors affecting reservoir productivity. Porosity and oil saturation also have a significant positive correlation on reservoir production. However, muddy content has a significant negative correlation with reservoir production. In Yingdong and Dongping areas, well logging permeability has certain correlation with well test permeability. The well test permeability of corresponding small layer can be calculated by logging permeability, which lays a foundation for productivity evaluation and non-mean value study of small layer. Based on the statistical method, the comprehensive productivity index method and the multiple regression analysis method are used to predict the productivity of Yingdong and Dongping regions. The results show that the overall error is less than 20.4. For the gas wells in Dongping block, the productivity prediction model is given, and the productivity is predicted. The results show that the predicted productivity is smaller than the actual production test productivity, but the deviation is not large, which verifies the correctness of the relationship between well test permeability and logging permeability. Based on the established model, the productivity of Yidong Sand 40 well is predicted. The prediction productivity of radial composite model is on the high side, and the error of two-hole composite model is the least, and Yingdong Sha-40 well is more suitable for double-pore composite model.
【學(xué)位授予單位】：長江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P631.81;P618.13

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