發(fā)布時(shí)間：2019-01-17 18:59

【摘要】：隨著我國(guó)經(jīng)濟(jì)的迅速發(fā)展，能源消費(fèi)和石油對(duì)外依存度也日益增加。在沒(méi)有找到能替代石油的新資源前，石油仍是全球的最主要能源。在這樣的背景下，更應(yīng)該重視現(xiàn)有的石油資源，努力提高油田開(kāi)發(fā)效果，對(duì)油田開(kāi)發(fā)規(guī)劃進(jìn)行優(yōu)化研究。這不僅是保障國(guó)家石油安全的需要，也是油田開(kāi)發(fā)企業(yè)提高經(jīng)濟(jì)效益的需要。 論文以新疆油田開(kāi)發(fā)現(xiàn)狀和開(kāi)發(fā)優(yōu)化的相關(guān)理論為基礎(chǔ)，運(yùn)用動(dòng)態(tài)規(guī)劃方法對(duì)新疆油田開(kāi)發(fā)規(guī)劃進(jìn)行優(yōu)化研究。首先，根據(jù)指標(biāo)選取原則，進(jìn)行選取指標(biāo)。依據(jù)模型中的各個(gè)參數(shù)，確定狀態(tài)變量、決策變量、狀態(tài)轉(zhuǎn)移方程和目標(biāo)函數(shù)，構(gòu)建出動(dòng)態(tài)規(guī)劃優(yōu)化模型，然后對(duì)優(yōu)化模型給出3種不同解法�；趦�(yōu)化后的鉆井?dāng)?shù)目，推出每年的動(dòng)用地質(zhì)儲(chǔ)量、原油產(chǎn)量和新建產(chǎn)能。最后以新疆地區(qū)南緣油區(qū)進(jìn)行實(shí)例分析，運(yùn)用Visual C++求解優(yōu)化模型，，得出每年新鉆鉆井?dāng)?shù)目、凈現(xiàn)金流量和累計(jì)凈現(xiàn)金流量。優(yōu)化模型確保了方案實(shí)施后風(fēng)險(xiǎn)低、效益高，達(dá)到以盡可能少的投入獲得最多的累計(jì)凈現(xiàn)金流量的目的。 論文在研究中克服了油價(jià)不穩(wěn)定、新井老井區(qū)別和模型選擇的困難。并將優(yōu)化模型應(yīng)用到新疆油田南緣油區(qū)的開(kāi)發(fā)規(guī)劃中，實(shí)現(xiàn)了理論到實(shí)踐的過(guò)渡，達(dá)到了優(yōu)化的目的。因此，上述研究具有一定的理論價(jià)值和重要的現(xiàn)實(shí)意義。
[Abstract]:With the rapid development of China's economy, energy consumption and oil dependence are increasing day by day. Until new sources of alternative oil are found, oil remains the world's leading energy source. In this context, we should pay more attention to the existing oil resources, strive to improve the oil field development effect, and optimize the oilfield development planning. This is not only the need to ensure the national oil security, but also the need for oil field development enterprises to improve economic benefits. Based on the current situation of oilfield development in Xinjiang and the related theories of development optimization, the dynamic programming method is used to optimize the development planning of Xinjiang oilfield. First of all, according to the principle of index selection, the selection of indicators. According to the parameters of the model, the state variables, the decision variables, the state transfer equations and the objective functions are determined, and the dynamic programming optimization model is constructed, and three different solutions to the optimization model are given. Based on optimized drilling numbers, annual production reserves, crude oil production and new production capacity are derived. Finally, taking the southern margin oil area of Xinjiang as an example, using Visual C to solve the optimization model, the number of new drilling wells, the net cash flow and the cumulative net cash flow are obtained every year. The optimization model ensures the low risk and high benefit after the implementation of the scheme, and achieves the goal of obtaining the maximum cumulative net cash flow with as little investment as possible. The paper overcomes the difficulty of oil price instability, the difference between new well and old well and the choice of model. The optimization model is applied to the development planning of the southern edge of Xinjiang oilfield, which realizes the transition from theory to practice and achieves the purpose of optimization. Therefore, the above research has certain theoretical value and important practical significance.
【學(xué)位授予單位】：中國(guó)石油大學(xué)（華東）
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：F426.22

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