本文選題：高含硫 + 硫沉積　； 參考：《西南石油大學》2017年碩士論文

【摘要】：高含硫氣藏與常規(guī)氣藏的主要區(qū)別在于硫化氫含量高以及在井筒內(nèi)復雜的相態(tài)變化使其難以下入井下溫度、壓力計,為了充分利用高含硫氣井井口測試資料作動態(tài)監(jiān)測,有效回避井底測壓安全風險大、工作開展受限程度高的問題,本文從流體物性參數(shù)、井筒中特殊相態(tài)變化出發(fā),建立高含硫氣井井筒硫沉積動態(tài)預測模型以確定井筒內(nèi)硫析出的位置、析出量與硫擴散沉積情況,從井筒向地層的實際導熱情況、流體流動規(guī)律出發(fā)來建立高含硫氣井的井筒非穩(wěn)態(tài)溫度壓力模型,并耦合井筒非穩(wěn)態(tài)溫度壓力模型、硫沉積擴散模型編譯程序進行計算,為實現(xiàn)高含硫氣藏的動態(tài)監(jiān)測提供依據(jù)。在對井筒溫度、壓力分布計算與硫沉積預測的分析中主要取得以下幾方面的成果:(1)進行高含硫天然氣的物性參數(shù)(偏差因子、黏度)計算,優(yōu)選計算模型并編制程序,對井筒-地層的傳熱物性參數(shù)進行計算,得出:由于井筒內(nèi)溫度壓力的變化,天然氣的物性參數(shù)、導熱過程相關的熱物性參數(shù)均隨時間與井深變化而變化。(2)硫沉積預測的理論方法:對井筒內(nèi)出現(xiàn)的復雜相態(tài)變化進行分析,耦合井筒溫度壓力與溶解度模型,研究硫析出量與析出位置,并進行受力分析確定臨界懸浮速度與臨界流量,根據(jù)傳質(zhì)傳熱學理論建立的沉積擴散模型對硫沉積進行動態(tài)預測。(3)井筒非穩(wěn)態(tài)溫度壓力模型:研究井筒流體-地層的導熱情況,將井筒內(nèi)與地層的導熱均考慮成非穩(wěn)態(tài)導熱建立模型,利用laplace變換和stefest數(shù)值反演進行求解并與流體熱力學模型結(jié)合求得井筒的非穩(wěn)態(tài)溫度模型,針對不同流態(tài)下(單一氣相、氣-液硫、氣-固硫兩相)的流動采用不同的壓力模型,將溫度壓力模型進行耦合求解并編程。(4)在程序的基礎上進行模型的對比驗證與實例分析,結(jié)果表明本模型計算結(jié)果與商業(yè)軟件、實測數(shù)據(jù)接近且精度較高;對影響溫度壓力的因素如產(chǎn)量、比熱、總傳熱系數(shù)、流體組成與井筒結(jié)構等開展敏感性分析,結(jié)果表明生產(chǎn)時間、產(chǎn)量、比熱、總傳熱系數(shù)對溫度影響較大,流體組成及井徑對壓力影響較大,而生產(chǎn)時間、臨界硫溶解度、流體組成、產(chǎn)量對井筒內(nèi)硫的析出位置、析出量、硫垢厚度具有較大影響。
[Abstract]:The main difference between high sulfur gas reservoir and conventional gas reservoir lies in the high content of hydrogen sulfide and complex phase change in wellbore, which makes it difficult to enter downhole temperature and pressure gauge, in order to make full use of the well head test data of high sulfur gas well for dynamic monitoring. In order to avoid the problem of high safety risk and limited work, this paper starts from the parameters of fluid physical properties and the variation of special phase state in wellbore. A prediction model of sulfur deposition performance in high sulfur bearing gas wells is established to determine the location of sulfur deposition in the wellbore, the amount of sulfur release and sulfur diffusion deposition, and the actual heat conduction from the wellbore to the formation. The fluid flow law is used to establish the unsteady temperature and pressure model of the wellbore with high sulfur content gas well, and coupled with the wellbore unsteady temperature and pressure model, the sulfur deposition diffusion model compiler is used to calculate the model. It provides the basis for dynamic monitoring of high sulfur gas reservoir. In the analysis of wellbore temperature, pressure distribution and sulfur deposition prediction, the following achievements are obtained: 1) calculation of physical parameters (deviation factor, viscosity) of high sulfur bearing natural gas, optimization calculation model and programming. The physical parameters of heat transfer in wellbore and formation are calculated. It is concluded that due to the change of temperature and pressure in wellbore, the physical parameters of natural gas are obtained. The theoretical method of predicting sulfur deposition with the variation of time and well depth: analyzing the complex phase change in wellbore, coupling wellbore temperature, pressure and solubility model, The amount and position of sulfur release are studied, and the critical suspension velocity and critical flow rate are determined by force analysis. According to the theory of mass transfer and heat transfer, the sedimentary diffusion model is used to predict the sulfur deposition dynamically. (3) the unsteady temperature and pressure model of wellbore: the heat conduction of fluid-formation in wellbore is studied. The heat conduction in wellbore and formation is taken into account as an unsteady heat conduction model, which is solved by laplace transform and stefest numerical inversion and combined with fluid thermodynamics model to obtain the unsteady temperature model of wellbore, aiming at different flow states (single gas phase). Different pressure models are used for gas-liquid sulfur (gas-solid sulfur) flow. The temperature and pressure model is solved by coupling and programming. 4) on the basis of the program, the model is compared and verified and an example is analyzed. The results show that the calculated results of this model are close to commercial software, and the measured data are close and accurate, and sensitivity analysis is carried out for the factors affecting temperature and pressure, such as output, specific heat, total heat transfer coefficient, fluid composition and wellbore structure, etc. The results show that production time, production rate, specific heat, total heat transfer coefficient have great influence on temperature, fluid composition and well diameter have great influence on pressure, while production time, critical sulfur solubility, fluid composition and production rate have great influence on the release position of sulfur in wellbore. The amount of precipitation and the thickness of sulfur scale have great influence.
【學位授予單位】：西南石油大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TE37

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