本文選題：松遼盆地南部油頁(yè)巖　切入點(diǎn)：油頁(yè)巖物理性質(zhì)的實(shí)驗(yàn)室測(cè)量與分析　出處：《吉林大學(xué)》2015年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：近年來(lái)，積極勘探開(kāi)發(fā)油頁(yè)巖等非常規(guī)新能源成為世界各國(guó)緩解能源緊張問(wèn)題的有效途徑。松遼盆地蘊(yùn)含了豐富與油氣共生的油頁(yè)巖資源，青山口組和嫩江組油頁(yè)巖構(gòu)成了松遼盆地南部主要生油巖系。如何將油頁(yè)巖與其他巖性區(qū)分出來(lái)，怎樣能夠?qū)崿F(xiàn)含油率的準(zhǔn)確計(jì)算等問(wèn)題成為了油頁(yè)巖勘探開(kāi)發(fā)中的關(guān)鍵問(wèn)題，因此利用測(cè)井方法進(jìn)行油頁(yè)巖的識(shí)別以及含油率的準(zhǔn)確計(jì)算具有現(xiàn)實(shí)意義。 目前國(guó)內(nèi)外學(xué)者對(duì)松南地區(qū)油頁(yè)巖的研究多集中于區(qū)域地質(zhì)概況、成礦規(guī)律等方面，而沒(méi)有對(duì)其進(jìn)行過(guò)物理參數(shù)的實(shí)驗(yàn)室測(cè)量與分析，本文考慮到實(shí)驗(yàn)室現(xiàn)有儀器水平，從密度、孔隙度、聲波速度、介電常數(shù)這幾個(gè)參數(shù)的測(cè)量入手，對(duì)研究區(qū)油頁(yè)巖的物理性質(zhì)進(jìn)行總結(jié)，為其他地區(qū)油頁(yè)巖的物性參數(shù)提供參考，并為后續(xù)油頁(yè)巖儲(chǔ)層的測(cè)井評(píng)價(jià)提供參數(shù)支持。 根據(jù)油頁(yè)巖與其他巖性在測(cè)井響應(yīng)上的區(qū)別，建立研究區(qū)不同巖性測(cè)井響應(yīng)樣本數(shù)據(jù)庫(kù)。以支持向量機(jī)、樸素貝葉斯判別以及Fisher判別法為基礎(chǔ)，綜合考慮到三種方法在原理等方面的差異，建立多元綜合法進(jìn)行巖性識(shí)別。從該方法在研究區(qū)的應(yīng)用效果來(lái)看，巖性識(shí)別結(jié)果與錄井巖性基本吻合，油頁(yè)巖平均識(shí)別準(zhǔn)確率達(dá)86.3％，能夠?qū)崿F(xiàn)油頁(yè)巖與其他巖性的有效區(qū)分。 建立巖石物理體積模型是油頁(yè)巖測(cè)井評(píng)價(jià)中的重要內(nèi)容，本文首先對(duì)Dicman Alfred于2012年提出的基于密度測(cè)井曲線(xiàn)的有機(jī)頁(yè)巖模型計(jì)算公式推廣到符合體積模型的一般測(cè)井曲線(xiàn)，并將該模型應(yīng)用到松南地區(qū)油頁(yè)巖儲(chǔ)層孔隙度的計(jì)算中；實(shí)現(xiàn)四組分模型在研究區(qū)油頁(yè)巖儲(chǔ)層各組分含量的計(jì)算；在四組分模型基礎(chǔ)之上提出將孔隙中流體進(jìn)一步細(xì)分的油頁(yè)巖五組分體積模型，，即“非粘土礦物+有機(jī)質(zhì)+粘土礦物+孔隙中游離油+孔隙中自由水”，通過(guò)建立起聲波時(shí)差、自然伽馬的響應(yīng)方程，并結(jié)合泥質(zhì)砂巖導(dǎo)電模型建立起響應(yīng)方程組，利用模擬退火算法實(shí)現(xiàn)了對(duì)非線(xiàn)性響應(yīng)方程組的求解，從而得到各組分含量，F(xiàn)1井計(jì)算出的孔隙度與實(shí)驗(yàn)室孔隙度之間平均絕對(duì)誤差0.11。 建立油頁(yè)巖總含油率計(jì)算模型，即首先建立起松南地區(qū)有機(jī)質(zhì)含油率的計(jì)算公式，再借助五組分模型計(jì)算出游離態(tài)含油率，最后將兩部分含油率相加獲得總含油率，研究區(qū)油頁(yè)巖總含油率平均值約為10％。 根據(jù)上述內(nèi)容建立“松遼盆地南部油頁(yè)巖地層的綜合測(cè)井評(píng)價(jià)系統(tǒng)”，開(kāi)發(fā)相應(yīng)油頁(yè)巖測(cè)井評(píng)價(jià)軟件，并對(duì)松南地區(qū)油頁(yè)巖的實(shí)際測(cè)井資料進(jìn)行處理。
[Abstract]:In recent years, active exploration and development of oil shale and other unconventional new energy has become an effective way to alleviate the energy shortage problem all over the world. The Songliao basin contains abundant oil shale resources and oil-gas symbiosis, Qingshankou and Nenjiang oil shale constitute the main source rocks in the southern Songliao basin. How will the oil shale and other rocks how to distinguish, can realize the accurate calculation of oil content and other issues has become a key problem of oil shale exploration and development is of practical significance to accurately calculate so using well logging method for identification of oil shale and oil content.
The current research on oil shale in Songnan area of domestic and foreign scholars focus on regional geology, metallogenic regularity, and no laboratory measurement and analysis of the physical parameters, considering the existing laboratory instruments, from the density, porosity, acoustic velocity, measuring the dielectric constant of the parameters of study on the physical properties of oil shale were summarized, to provide reference for the physical parameters of oil shale and other areas, and to provide support for the subsequent evaluation logging parameters of oil shale reservoir.
According to the oil shale and other rocks in different logging response, a study of different logging response samples database. Based on the support vector machine, Naive Bayesian discriminant and Fisher discriminant method, considering the difference of the three methods in the aspects of principle, establish comprehensive method for lithology identification. From the result of applying the method in the study area, the lithology identification results and logging lithology with oil shale average recognition rate is 86.3%, can effectively distinguish oil shale and other rocks.
The establishment of rock physical volume model is an important part of the evaluation of oil shale in logging, this paper puts forward Dicman Alfred in 2012 organic shale density logging curve based on the model calculation formula is extended to meet the log volume model, and this model is applied to calculate oil shale reservoir porosity in Songnan area; the realization of the four group the model in the calculation of rock reservoir of the component content of oil shale in the region; four component model based on the pore fluid further subdivision of the oil shale five component volume model, namely "non clay mineral and organic clay mineral pore free + + oil + free water in pores, through setting up sonic, natural gamma ray response equation, and combining the shaly sand model established response equations, the equations of nonlinear response based on simulated annealing algorithm, The average absolute error between the porosity calculated by F1 well and the porosity of the laboratory is 0.11.
The establishment of oil shale oil content calculation model is first established calculation formula of organic matter content in Songnan area, and with the help of five component model to calculate the free state content, the two parts of oil yield obtained by adding the total oil content, oil shale of the total oil average rate is about 10%.
The establishment of comprehensive logging in southern Songliao Basin oil shale formation evaluation system based on the above contents, the corresponding development of oil shale logging evaluation software, and the actual logging data of oil shale in Songnan area for processing.

【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：P618.12;P631.81

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