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基于支持向量機(jī)的密井網(wǎng)水驅(qū)配注方法研究

發(fā)布時(shí)間:2018-08-22 08:43
【摘要】:薩中開發(fā)區(qū)中區(qū)西部作為實(shí)施二次開發(fā)工程的第一個(gè)產(chǎn)能建設(shè)區(qū)塊,井網(wǎng)重構(gòu)、層系重組后,整體開發(fā)效果改善,但不同油層開發(fā)效果差異大。通過分析認(rèn)識(shí)到區(qū)塊井組仍然具有提高采收率的潛力,但同時(shí)也面臨著剩余油分散、油層多、井網(wǎng)密等問題。為了充分考慮層間差異性、儲(chǔ)層關(guān)聯(lián)性、壓差、物質(zhì)平衡和能量平衡等對層段注水量的影響,更好的表征各影響因素與注水量之間的非線性關(guān)系,提高層段注水量預(yù)測精度,建立了基于支持向量機(jī)的密井網(wǎng)條件下層段配注方法體系:通過結(jié)合油藏工程方法和灰色關(guān)聯(lián)法及層次分析法得到水驅(qū)效果好的最佳關(guān)聯(lián)油水井組,運(yùn)用支持向量回歸方法建立層段注水量的計(jì)算模型,且模型的平均誤差3%,最大誤差20%,該模型具有較高的準(zhǔn)確性和可靠性。應(yīng)用該模型對薩中開發(fā)區(qū)研究區(qū)塊184口注水井715個(gè)注水層段的注水量預(yù)測,得到該區(qū)塊的水驅(qū)調(diào)整方案,通過數(shù)值模擬結(jié)果分析可知,調(diào)整后該區(qū)塊的含水率下降0.247個(gè)百分點(diǎn),含水上升速度降低,產(chǎn)油量增加3.8702×104噸,該模型具備足夠的精度及現(xiàn)場利用價(jià)值。本文通過對注水井及其最佳見效采油井井組的配注系統(tǒng)進(jìn)行研究,可以推廣到中區(qū)西部整個(gè)注水井網(wǎng)的生產(chǎn)中,得到適用于密井網(wǎng)條件下井組配注的研究成果,可以指導(dǎo)下一步的水驅(qū)開發(fā)調(diào)整,對其他密井網(wǎng)條件下配注工作的研究及推廣應(yīng)用也有重要的指導(dǎo)意義。
[Abstract]:The western part of Sazhong Development Zone is the first productivity construction block in the implementation of secondary development project. The overall development effect is improved after the reconstruction of well pattern and the reorganization of strata, but the development effect of different reservoirs varies greatly. Through analysis, it is recognized that the block well group still has the potential to improve oil recovery, but it also faces the problems of remaining oil dispersion, more oil layers and well pattern density. In order to fully consider the influence of interlayer difference, reservoir correlation, pressure difference, material balance and energy balance on the water injection rate, the nonlinear relationship between the influencing factors and the water injection rate is better characterized, and the prediction accuracy of the interval water injection rate is improved. Based on support vector machine (SVM), the injection allocation system for the lower section of dense well pattern condition is established. By combining reservoir engineering method with grey correlation method and analytic hierarchy process (AHP), the best associated oil-water well group with good water flooding effect is obtained. The support vector regression method is used to establish the model for calculating the water injection rate in the interval. The average error of the model is 3 and the maximum error is 20. The model has high accuracy and reliability. The model is used to predict the water injection rate in 184 injection wells and 715 water injection zones in Sazhong Development Zone, and the water drive adjustment scheme of this block is obtained. The results of numerical simulation show that the water cut of this block decreases by 0.247 percentage points after the adjustment. With the decrease of water cut and the increase of oil production by 3.8702 脳 10 ~ 4 tons, the model has enough precision and value of field utilization. By studying the injection system of water injection wells and their best effective production wells, this paper can be extended to the production of the whole water injection well pattern in the western part of the central district, and the research results suitable for the well distribution under the condition of dense well pattern are obtained. It can guide the adjustment of water drive development in the next step, and it is also of great significance to the research and popularization of injection allocation under the condition of other dense well pattern.
【學(xué)位授予單位】:東北石油大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TE357.6

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