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| 1 | 地球化学指标示踪天然气运移机理及有效性分析——以川西坳陷侏罗系天然气为例显示文摘对常用天然气运移示踪指标示踪天然气运移机理进行了分析,并以川西坳陷侏罗系天然气为例,对不同指标示踪天然气运移有效性进行了探讨。结果表明,CH4含量、N2含量、芳烃/烷烃值在不同相态的运移过程中均有较好的示踪能力,是较为有效的天然气运移示踪指标,而CO2含量与iC4/nC4值示踪效果相对较差。CH4含量在不同的运移相态下,均随运移距离的增加而增加,是最有效的天然气运移方向示踪指标。N2含量、芳烃/烷烃值在不同的运移相态下均有不同的变化规律,选择这2个指标时应充分考虑天然气的运移相态。若已知天然气运移相态,就可依据这2个指标能确定天然气的运移方向;若已知天然气运移方向,则可据这2个指标确定天然气的运移相态。当天然气中CO2含量受碳酸盐矿物影响较大时,CO2可能失去示踪天然气运移的功能。iC4/nC4值能否示踪天然气运移及其示踪机理均存在较多争议,选择该指标示踪天然气运移应慎重。 | 王鹏 刘四兵 沈忠民 黄飞 张文凯 邹黎明 | 2015 | 天然气地球科学2015，26，6： | 9 |
| 2 | 碳同位素在天然气运移路径示踪中的应用研究进展显示文摘碳同位素在天然气运移路径示踪中的应用十分广泛,以游离相运移的天然气,运移过程中碳同位素的分馏主要受“质量分馏效应”控制;以水溶相运移的天然气,运移过程中碳同位素的分馏主要受“溶解分馏效应”控制。天然气运移中碳同位素的分馏程度不仅与气体分子质量、气体分子水溶解度等物理化学性质有关,同时也受天然气运移距离、输导层物性等外部环境条件的影响。常用的天然气运移路径示踪参数有δ13C1、δ13C2-δ13C1、δ13CO2及储集层中自生方解石的碳同位素。对研究现状分析后提出运移相态识别、碳同位素失真分析是应用碳同位素示踪天然气运移路径的基础,非烃碳同位素、多参数对比是碳同位素示踪天然气运移路径研究的未来趋势。 | 张玉红 周世新 左亚彬 | 2018 | 矿物岩石地球化学通报2018，37，6： | 4 |
| 3 | 川西坳陷天然气中烷烃气碳同位素倒转成因分析显示文摘在充分认识可能造成天然气中烷烃气碳同位素倒转原因的基础上,分别对川西坳陷构造变形强度不同的北段、中段、南段3地区天然气中烷烃气碳同位素倒转成因进行了分析。结果表明,构造变形强度相对较弱的北段与中段地区,烷烃气碳同位素倒转相对较少发生,倒转现象仅出现在须二段,北段烷烃气碳同位素倒转成因是同源不同期天然气混合,中段2类烷烃气碳同位素倒转成因分别是同源不同期天然气混合与不同成因天然气混合;构造变形强度相对较大的南段地区,烷烃气碳同位素倒转现象明显增多,中侏罗统、须四段与须二段都有倒转发生,中侏罗统与须四段倒转成因主要是同型不同源天然气混合,而须二段倒转成因则为天然气同源不同期混合。对川西坳陷烷烃气碳同位素倒转特征与构造变形强度的关系分析表明,构造变形强度对烷烃气碳同位素倒转有一定的影响,在构造变形强度相对较大的地区,构造变形对烷烃气碳同位素倒转的发生起了促进作用,使得该地区碳同位素倒转现象更为常见。 | 王鹏 沈忠民 刘四兵 吕正祥 王乐闻 陈婷 | 2014 | 地质科技情报2014，33，1： | 2 |
| 4 | 油气成藏定位研究进展显示文摘在含油气盆地演化史研究中,油气运移是一个复杂的过程,由于遗留下的踪迹较少,难以对其进行模拟,又涉及多个学科,因此油气运移路径示踪一直是油气成藏研究中的难题。油气运聚成藏定位技术,即对油气运移的示踪以及聚集空间分布的预测,是研究油气从生烃、运移、聚集及保存等一系列过程中非常关键的技术,无论是对优选勘探目标、重建油气藏形成演化过程、预测油气富集区,还是对丰富与深化油气成藏理论都具有非常重要的实践意义和理论意义。近年来国内外学者在油气运移方面投入了大量研究工作,取得了丰硕的成果,但是其中部分示踪方法的研究仍是石油地质研究中的薄弱环节,有待进一步探索。基于前人的一些主要成果,对油气成藏定位进行系统梳理和综述,认为油气成藏定位主要经历2个阶段,从定性描述阶段发展到定量刻画阶段,并尝试将油气运移示踪的方法分为4个大类。 | 薛楠 吕修祥 朱光有 韦佳启 汪瑞 李峰 贺涛 吴郑辉 陈晓 欧阳思琪 | 2022 | 天然气地球科学2022，33，1： | 2 |
| 5 | 油气运移地球化学示踪研究进展显示文摘传统的油气运移地球化学示踪研究主要集中在各种生物标志化合物和含氮化合物。近年来,油气示踪研究中相关的示踪剂和分析技术呈多样化发展,除咔唑类含氮化合物以外,二苯并噻吩(DBTs)和二苯并呋喃(DBFs)也是良好的运移指标;储层自生矿物、稀有气体同位素和金刚烷等也可用于油气运移示踪,但其机理与应用指标还有待深入研究。傅里叶变换离子回旋共振质谱(FT-ICRMS)技术能够扩大化合物的检测范围,同时避免了传统分离过程对含氮化合物的影响,在油气运移示踪领域显示出广阔的应用前景。在油气运移示踪研究中,应正视各种方法或示踪剂自身的局限性,加强新的地球化学指标的运用,强调多指标参数的综合运用。 | 纪红 陈湘飞 | 2020 | 广东石油化工学院学报2020，30，6： | 1 |
| 6 | Characteristics and Natural Gas Origin of Middle-Late Triassic Marine Source Rocks of the Western Sichuan Depression, SW China显示文摘A scientific exploration well(CK1) was drilled to expand the oil/gas production in the western Sichuan depression, SW, China. Seventy-three core samples and four natural gas samples from the Middle–Late Triassic strata were analyzed to determine the paleo-depositional setting and the abundance of organic matter(OM) and to evaluate the hydrocarbon-generation process and potential. This information was then used to identify the origin of the natural gas. The OM is characterized by medium n-alkanes(n C15–n C19), low pristane/phytane and terrigenous aquatic ratios(TAR), a carbon preference index(CPI) of ~1, regular steranes with C29 > C27 > C28, gammacerane/C30 hopane ratios of 0.15–0.32, and δDorg of-132‰ to-58‰, suggesting a marine algal/phytoplankton source with terrestrial input deposited in a reducing–transitional saline/marine sedimentary environment. Based on the TOC, HI index, and chloroform bitumen 'A' the algalrich dolomites of the Leikoupo Formation are fair–good source rocks;the grey limestones of the Maantang Formation are fair source rocks;and the shales of the Xiaotangzi Formation are moderately good source rocks. In addition, maceral and carbon isotopes indicate that the kerogen of the Leikoupo and Maantang formations is type Ⅱ and that of the Xiaotangzi Formation is type Ⅱ–Ⅲ. The maturity parameters and the hopane and sterane isomerization suggest that the OM was advanced mature and produced wet–dry gases. One-dimensional modeling of the thermal-burial history suggests that hydrocarbon-generation occurred at 220–60 Ma. The gas components and C–H–He–Ar–Ne isotopes indicate that the oilassociated gases were generated in the Leikoupo and Maantang formations, and then, they mixed with gases from the Xiaotangzi Formation, which were probably contributed by the underlying Permian marine source rocks. Therefore, the deeply-buried Middle–Late Triassic marine source rocks in the western Sichuan depression and in similar basins have a great significant hydrocarbon potential. | SUN Tengjiao LUO Xiaoping QING Hairuo KOU Xueling SHENG Zhongming XU Guosheng ZUO Yinhui | 2020 | Acta Geologica Sinica(English Edition)2020，94，2： | 0 |
| 7 | Genetic types and geochemicai characteristics of natural gases in the Jiyang Depression,China显示文摘Natural gases were widely distributed in the Jiyang Depression with complicated component composition, and it is difficult to identify their genesis. Based on investigation of gas composition, carbon isotope ratios,light hydrocarbon properties, as well as geological analysis, natural gases in the Jiyang Depression are classified into two types, one is organic gas and the other is abiogenic gas. Abiogenic gas is mainly magmatogenic or mantlederived CO2. Organic gases are further divided into coaltype gas, oil-type gas, and biogas according to their kerogen types and formation mechanisms. The oil-type gases are divided into mature oil-type gas(oil-associated gas)and highly mature oil-type gas. The highly mature oil-type gases can be subdivided into oil-cracking gas and kerogen thermal degradation gas. Identification factors for each kind of hydrocarbon gas were summarized. Based on genesis analysis results, the genetic types of gases buried in different depths were discussed. Results showed that shallow gases(\1,500 m) are mainly mature oil-type gases, biogas, or secondary gases. Secondary gases are rich in methane because of chromatographic separation during migration and secondary biodegradation. Secondary biodegradation leads to richness of heavy carbon isotope ratios in methane and propane. Genesis of middle depth gases(1,500–3,500 m) is dominated by mature oil-type gases.Deep gases(3,500–5,500 m) are mainly kerogen thermal degradation gas, oil-cracking gas, and coal-type gas. | Wen-Tao Li Yang Gao Chun-Yan Geng | 2015 | Petroleum Science2015，12，1： | 0 |
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