本文選題：RPM測(cè)井剩余油飽和度　切入點(diǎn)：影響因素校正　出處：《長(zhǎng)江大學(xué)》2015年碩士論文

【摘要】：油田投入生產(chǎn)之后,其產(chǎn)量會(huì)隨著地層含油飽和度的變化而變化,油、氣的產(chǎn)量將減小,水的產(chǎn)量將大幅上升。實(shí)時(shí)準(zhǔn)確地了解地層的動(dòng)態(tài)變化情況,監(jiān)測(cè)地層的含油飽和度,采用測(cè)井分析的方法來認(rèn)識(shí)和評(píng)價(jià)地層的水淹程度,對(duì)指導(dǎo)油田后期合理高效開發(fā)、提高儲(chǔ)層采收率有著重要意義,這就需要剩余油飽和度參數(shù)作為依據(jù)。很多裸眼井中的測(cè)井方法由于受到了套管的物理特性的限制,在套管井的地層評(píng)價(jià)中并不適用。目前套管井中使用的較多的飽和度測(cè)井方法均是以核物理理論為基礎(chǔ)的,如：碳氧比(C/O)能譜測(cè)井、PNN測(cè)井、中子壽命測(cè)井(TDT)、PND測(cè)井、硼中子測(cè)井等。本文基于RPM測(cè)井方法,以L油田剩余油評(píng)價(jià)為研究對(duì)象,對(duì)RPM測(cè)井解釋中存在的部分問題進(jìn)行論述分析,然后建立剩余油飽和度計(jì)算模型,對(duì)研究區(qū)塊展開剩余油水淹狀況評(píng)價(jià),最后將研究成果以軟件的形式實(shí)現(xiàn),對(duì)實(shí)例井進(jìn)行解釋處理驗(yàn)證。儲(chǔ)層性能監(jiān)測(cè)儀RPM (Reservior Performance Monitor)是Atlas公司生產(chǎn)的一種新型的1.7in的多探頭、多功能的脈沖中子測(cè)井儀,可以在油管或套管的生產(chǎn)井內(nèi)測(cè)量,而且也可以與生產(chǎn)測(cè)井儀(PLT)組合使用。碳氧比測(cè)井的主要優(yōu)點(diǎn)是能穿透套管、水泥環(huán)而直接測(cè)量地層中的元素,不受地層水礦化度的影響,在地層水礦化度和注入水差別較大時(shí),該方法有著突出的優(yōu)點(diǎn),尤其是在對(duì)高孔隙度地層進(jìn)行測(cè)試中有著較好的應(yīng)用效果,其克服了電法測(cè)井目前不能用于評(píng)價(jià)套管井中儲(chǔ)集層飽和度的困難,又彌補(bǔ)了中子壽命測(cè)井不能用于低地層水礦化度區(qū)域的不足。它能直接反應(yīng)地層中某些特征元素的含量,提供地層的物性、巖性、油性和有效厚度等信息,還可以提供地下氣、油、水的動(dòng)態(tài),產(chǎn)能、剩余油飽和度、采油指數(shù)等參數(shù)。而L油田地層礦化度為35000ppm,地層孔隙度在25%～35%之間,因此L油田主要采用碳氧比能譜測(cè)井進(jìn)行測(cè)量。本文旨在從RPM測(cè)井過程進(jìn)行分析,對(duì)RPM測(cè)井儀在研究區(qū)塊的適應(yīng)性進(jìn)行評(píng)價(jià),建立一套適合研究區(qū)塊的測(cè)井曲線質(zhì)量評(píng)價(jià)標(biāo)準(zhǔn),并對(duì)RPM測(cè)井過程中受到的一系列環(huán)境影響因素,如：孔隙度、地層含油飽和度、環(huán)空流體、礫石充填等展開分析,提出環(huán)空流體、泥質(zhì)含量和礫石充填的校正方法,并針對(duì)研究區(qū)塊實(shí)際情況確定了RPM測(cè)井的主控影響因素,建立了合適的解釋模型。在剩余油飽和度評(píng)價(jià)和水淹層識(shí)別部分,結(jié)合國(guó)內(nèi)外油田水淹層級(jí)別劃分標(biāo)準(zhǔn),建立了適合研究區(qū)塊的水淹層級(jí)別劃分標(biāo)準(zhǔn)。同時(shí)結(jié)合裸眼井資料和地質(zhì)資料,采用動(dòng)靜態(tài)相結(jié)合的方法進(jìn)行水淹級(jí)別的判定,有效地提升了水淹層評(píng)價(jià)的準(zhǔn)確性。最后,基于RPM測(cè)井資料解釋,編制了適合研究區(qū)塊的RPM測(cè)井解釋模塊,使本文所提出的模型方法以軟件的形式得以實(shí)現(xiàn),并通過實(shí)例井進(jìn)行驗(yàn)證,認(rèn)為本文的研究方法具有一定的推廣價(jià)值。
[Abstract]:After the oil field is put into production, its production will change with the change of oil saturation, the production of oil and gas will decrease, and the production of water will increase substantially. It is of great significance to recognize and evaluate the water-flooded degree of formation by using the method of log analysis to guide the rational and efficient development of oil field in the later stage and to improve the reservoir recovery. This requires the parameters of residual oil saturation as the basis. Many logging methods in open hole wells are limited by the physical characteristics of the casing. At present, many saturation logging methods used in casing wells are based on nuclear physics theory, such as C / O energy spectrum logging PNN logging, neutron life logging TDTT / PND logging, etc. Boron neutron logging and so on. Based on RPM logging method, this paper discusses and analyzes some problems existing in the interpretation of residual oil in L oilfield by taking the evaluation of remaining oil in L oilfield as the research object, and then establishes the calculation model of residual oil saturation. In the end, the research results are realized in the form of software to verify the interpretation and processing of the sample wells. The reservoir performance monitor, RPM Reservior Performance Monitor, is a new type of 1.7in multiprobe produced by Atlas Company. The multifunctional pulsed neutron logging tool can be used in production wells of tubing or casing, and can also be used in combination with production logging tool (PLT). The main advantage of carbon-oxygen ratio logging is that it can directly measure elements in formation through casing, cement ring and so on. Without the influence of formation water salinity, when the difference between formation water salinity and injected water is large, this method has outstanding advantages, especially in the test of high porosity formation has a better application effect. It overcomes the difficulty that electric logging can not be used to evaluate reservoir saturation in casing wells at present, and makes up for the deficiency of neutron lifetime logging which can not be used in low formation water mineralization area. It can directly reflect the content of some characteristic elements in formation. To provide information on physical properties, lithology, oil properties and effective thickness of the formation, we can also provide parameters such as the dynamics of underground gas, oil and water, productivity, residual oil saturation, oil recovery index, etc. The formation salinity of L Oilfield is 35000 ppm, and the formation porosity is between 25% and 35%. This paper aims to analyze the RPM logging process, evaluate the adaptability of the RPM logging tool in the study block, and establish a set of logging curve quality evaluation standards suitable for the study block. A series of environmental factors, such as porosity, oil saturation, annular fluid, gravel filling and so on, are analyzed during RPM logging, and the correction methods of annular fluid, mud content and gravel filling are proposed. According to the actual situation of the study block, the main control factors of RPM logging are determined, and an appropriate interpretation model is established. In the part of remaining oil saturation evaluation and water flooded zone identification, combined with the classification standard of water flooded zone at home and abroad, The criteria for the classification of water-flooded zones suitable for study blocks are established. Combining with the open-hole data and geological data, the method of dynamic and static combination is used to determine the water-flooded level, which effectively improves the accuracy of water-flooded zone evaluation. Based on the interpretation of RPM logging data, a RPM log interpretation module suitable for the study block is developed, which makes the model method proposed in this paper realized in the form of software, and verified by the example well. It is believed that the research method in this paper is worth popularizing.
【學(xué)位授予單位】：長(zhǎng)江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：P631.81;P618.13

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