本文選題：注水參數(shù)優(yōu)化控制 + 注水參數(shù)優(yōu)選��； 參考：《西南石油大學(xué)》2015年碩士論文

【摘要】：隨著我國(guó)油田注水開(kāi)發(fā)技術(shù)的不斷發(fā)展,越來(lái)越多的油田將水驅(qū)應(yīng)用到生產(chǎn)開(kāi)發(fā)中,注水開(kāi)發(fā)已經(jīng)成為大多數(shù)油田的開(kāi)發(fā)方式。但隨著油田注水開(kāi)發(fā)的不斷進(jìn)行,注水效率逐漸降低,導(dǎo)致水驅(qū)替油產(chǎn)量降低。因此,如何對(duì)注水參數(shù)進(jìn)行有效的優(yōu)化控制,并提高注水效率達(dá)到增產(chǎn)的目的具有重要的意義。 本文在廣泛調(diào)研國(guó)內(nèi)外水驅(qū)注水優(yōu)化控制研究現(xiàn)狀的基礎(chǔ)上,提出了一種水驅(qū)注水優(yōu)化控制方法,以提高注水效率為目的對(duì)油田的水驅(qū)注水進(jìn)行優(yōu)化控制,經(jīng)研究取得成果如下： (1)通過(guò)對(duì)水驅(qū)注水優(yōu)化控制組成的分析研究,根據(jù)水驅(qū)注水優(yōu)化控制的原理,確定了水驅(qū)注水優(yōu)化控制流程,設(shè)計(jì)了一個(gè)水驅(qū)注水優(yōu)化控制方案,并確定了方案的被控對(duì)象和控制變量。 (2)分別對(duì)油藏優(yōu)化模型和注水優(yōu)化控制模型進(jìn)行了研究。利用自主建立的油藏優(yōu)化模型得出目標(biāo)井需要控制的注水量與注水壓力,作為注水優(yōu)化控制模型的控制目標(biāo)；利用建立的離心泵優(yōu)化控制模型和節(jié)流閥優(yōu)化控制模型所組成的注水優(yōu)化控制模型,分別對(duì)注水量與注水壓力進(jìn)行優(yōu)化控制,達(dá)到油藏優(yōu)化控制的目的。 (3)確定注水參數(shù)控制算法與油藏優(yōu)化算法。針對(duì)注水控制問(wèn)題選擇具有自適應(yīng)性、魯棒性較好,能夠動(dòng)態(tài)優(yōu)化的廣義預(yù)測(cè)控制(GPC)算法。而油藏優(yōu)化問(wèn)題選擇具有超線性收斂性質(zhì)的序列二次規(guī)劃(SQP)算法進(jìn)行求解,并用GPC算法更新油藏優(yōu)化模型的約束條件。 (4)根據(jù)水驅(qū)注水優(yōu)化控制組成及原理,確定了水驅(qū)注水優(yōu)化控制的目標(biāo)函數(shù)以及約束條件,作為水驅(qū)注水優(yōu)化控制評(píng)價(jià)依據(jù)。 (5)實(shí)現(xiàn)注水優(yōu)化控制模型與油藏優(yōu)化模型的耦合。在實(shí)際的注水控制過(guò)程中,注水量與注水壓力很難同時(shí)控制在優(yōu)化算法計(jì)算出的最優(yōu)上,根據(jù)水驅(qū)注水優(yōu)化控制的性能指標(biāo)以及約束條件,確定在水驅(qū)注水優(yōu)化控制中實(shí)際選取的注水量與注水壓力。 (6)利用MATLAB軟件與ECLIPSE軟件對(duì)水驅(qū)注水優(yōu)化控制方法進(jìn)行模擬仿真,根據(jù)北海XX油田的注水開(kāi)發(fā)數(shù)據(jù),對(duì)水驅(qū)注水優(yōu)化控制結(jié)果進(jìn)行模擬仿真,并把結(jié)果與原方案進(jìn)行對(duì)比和分析。 本文提出的水驅(qū)注水優(yōu)化控制方法,能夠根據(jù)油田生產(chǎn)的實(shí)際情況,優(yōu)化與控制注水量和注水壓力。所采用的控制算法自適應(yīng)能力較強(qiáng),魯棒性較好,優(yōu)化算法具有超線性收斂速度。并利用注水優(yōu)化控制模型與油藏優(yōu)化模型的耦合方法,確定出一個(gè)注水周期內(nèi)注水量與注水壓力最優(yōu)控制方案,對(duì)提高水驅(qū)注水效率具有重要的指導(dǎo)意義與研究?jī)r(jià)值。
[Abstract]:With the development of waterflooding technology, more and more oilfields apply water flooding to production and development, and waterflooding development has become the development mode of most oilfields.However, with the continuous development of oilfield water flooding, water injection efficiency gradually decreased, resulting in water displacement oil production reduced.Therefore, it is of great significance to optimize the parameters of water injection and improve the efficiency of water injection to achieve the purpose of increasing production.On the basis of extensive investigation and research on the current situation of water flooding optimization control at home and abroad, a water flooding optimization control method is proposed in this paper, which aims at improving water injection efficiency.The results of the study are as follows:1) according to the principle of water flooding optimization control, the flow chart of water drive water injection optimization control is determined, and a water drive water injection optimization control scheme is designed through the analysis and study of the composition of water flooding optimization control.The controlled object and control variable of the scheme are determined.Oil reservoir optimization model and water injection optimization control model are studied respectively.The water injection volume and water injection pressure needed to be controlled by the target well are obtained by using the reservoir optimization model established independently as the control objective of the water injection optimization control model.By using the optimized control model of centrifugal pump and throttle valve, the optimal control model of water injection volume and water injection pressure is established to achieve the purpose of reservoir optimization control.The control algorithm of water injection parameters and the reservoir optimization algorithm are determined.The generalized predictive control (GPC) algorithm, which is adaptive and robust, can be dynamically optimized for water injection control problems.The oil reservoir optimization problem is solved by using the sequential quadratic programming (SQP) algorithm with superlinear convergence, and the constraint conditions of the reservoir optimization model are updated by GPC algorithm.4) according to the composition and principle of water flooding optimization control, the objective function and constraint conditions of water flooding optimization control are determined, which can be used as the evaluation basis of water flooding optimization control.The coupling of water injection optimization control model and reservoir optimization model is realized.In the actual process of water injection control, it is very difficult to control the water injection volume and the injection pressure simultaneously in the optimum calculation of the optimization algorithm. According to the performance index and the constraint conditions of the water flooding optimization control,Determine the actual selection of water injection volume and injection pressure in water flooding optimization control.MATLAB software and ECLIPSE software are used to simulate the optimal control method of water flooding. According to the data of water injection development in Beihai XX Oilfield, the results of water flooding optimization control are simulated, and the results are compared and analyzed with the original scheme.The water flooding optimization control method proposed in this paper can optimize and control the water injection rate and water injection pressure according to the actual situation of oilfield production.The proposed control algorithm has strong adaptive ability, good robustness and superlinear convergence speed.By using the coupling method of water injection optimization control model and reservoir optimization model, an optimal control scheme of water injection volume and water injection pressure in water injection cycle is determined, which has important guiding significance and research value for improving water flooding efficiency.
【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TE357.6

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