吐哈盆地大南湖褐煤生物氣和熱成因氣模擬研究
本文關(guān)鍵詞: 褐煤 生物氣 熱成因氣 生烴模擬實(shí)驗(yàn) 煤層氣成因類型 判識(shí)模型 出處:《中國(guó)礦業(yè)大學(xué)》2015年碩士論文 論文類型:學(xué)位論文
【摘要】:為了闡明微生物與煤中有機(jī)質(zhì)相互作用及煤巖熱演化過(guò)程中產(chǎn)氣的特征和機(jī)理,本文選擇新疆吐哈盆地大南湖凹陷最低煤化程度褐煤(Ro,max0.3%左右)為研究對(duì)象,設(shè)計(jì)了生物生烴模擬實(shí)驗(yàn)和熱解生烴模擬實(shí)驗(yàn),探討了生物產(chǎn)氣和熱解產(chǎn)氣機(jī)理,提出了適合研究區(qū)的煤層氣成因類型判識(shí)標(biāo)準(zhǔn)。在成功富集了產(chǎn)甲烷菌的基礎(chǔ)上,跟蹤生物生烴模擬實(shí)驗(yàn)生氣過(guò)程中氣體的組分變化、碳?xì)渫凰亟M成特征,揭示了不同產(chǎn)氣周期微生物降解的顯微組分類型以及產(chǎn)氣機(jī)理。研究表征第一個(gè)產(chǎn)氣周期產(chǎn)甲烷菌主要降解煤中腐植組而產(chǎn)氣,第二個(gè)產(chǎn)氣周期主要是降解穩(wěn)定組和惰質(zhì)組產(chǎn)氣。δ13C(CH4)值與原煤中腐植組含量呈負(fù)相關(guān)趨勢(shì),與惰質(zhì)組含量有正相關(guān)趨勢(shì)。基于熱解生烴模擬實(shí)驗(yàn),揭示了煤巖熱演化產(chǎn)氣的過(guò)程和機(jī)理,總結(jié)出氣態(tài)烴碳?xì)渫凰亟M成與樣品熱演化階段對(duì)應(yīng)關(guān)系及演化特征。認(rèn)為隨著煤巖演化程度升高,δ13C(CH4)值和δ13C(C2H6)值隨著溫度的升高呈現(xiàn)先變小后變大的趨勢(shì),δD(CH4)值呈現(xiàn)逐漸變大的趨勢(shì)。采用數(shù)理統(tǒng)計(jì)方法系統(tǒng)分析模擬實(shí)驗(yàn)的數(shù)據(jù)結(jié)果,從地質(zhì)構(gòu)造、成煤盆地環(huán)境、烴源巖的演化程度及氣態(tài)烴的碳?xì)渫凰亟M成特征等方面,提出原生生物氣和次生生物氣、生物成因氣和熱成因氣的判識(shí)指標(biāo),并建立適合該區(qū)的熱成因氣烴源巖有機(jī)質(zhì)演化階段劃分的判識(shí)模型和煤層氣成因類型的判識(shí)模型。
[Abstract]:In order to elucidate the interaction between microorganisms and organic matter in coal, and the characteristics and mechanism of gas production during the thermal evolution of coal and rock, this paper chooses the lowest degree of lignite Romax0.3% in the Donanhu sag of Turpan-Hami Basin, Xinjiang) as the object of study. The biological hydrocarbon generation simulation experiment and pyrolytic hydrocarbon generation simulation experiment were designed. The mechanism of biogas production and pyrolysis gas production was discussed, and the criteria for identifying the genetic types of coal bed methane suitable for the study area were put forward. On the basis of successful enrichment of methanogenic bacteria, the biohydrocarbon-generating simulation experiment and pyrolytic hydrocarbon-generation simulation experiment were designed. Tracking the gas composition changes and hydrocarbon isotopic composition characteristics during the gas generation simulation experiment of biogenic hydrocarbon generation, The maceral types and gas production mechanism of microbial degradation in different gas production periods were revealed, and the gas production was characterized by the main degradation of saprophytic groups in coal by methanogenic bacteria in the first gas production period. The second gas production cycle is mainly gas production from stable and inertinite groups. 未 13CU Ch 4) values show a negative trend with the content of saprophytic groups in raw coal, and a positive correlation trend with the content of inertinite groups. Based on the pyrolytic hydrocarbon generation simulation experiments, the second cycle of gas production mainly shows a negative correlation with the content of saprophytic groups in raw coal. The process and mechanism of gas generation in thermal evolution of coal and rock are revealed. The relationship between hydrocarbon isotopic composition of gaseous hydrocarbon and the thermal evolution stage of the sample and its evolution characteristics are summarized. It is concluded that with the increase of coal and rock evolution degree, 未 13 C (Ch 4) and 未 13 C (C 2H 6) values tend to decrease first and then to increase with the increase of temperature, and 未 DU Ch 4) values show a tendency of first decreasing and then increasing with the increase of coal and rock evolution degree. Using mathematical statistics to systematically analyze the results of the simulation experiment, From the aspects of geological structure, coal-forming basin environment, evolution degree of hydrocarbon source rock and hydrocarbon isotopic composition of gaseous hydrocarbon, the identification indexes of proto-biogenic gas, secondary biogenic gas, biogenic gas and thermogenic gas are put forward. The classification model of organic matter in thermogenic gas source rock and the model of genetic type of coalbed methane are established.
【學(xué)位授予單位】:中國(guó)礦業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:P618.13
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