鄂尔多斯盆地东缘临兴区块页岩气成藏因素分析及富集区预测

结合中联公司前期勘探成果,基于钻井、岩心、测井资料及实验数据,对鄂尔多斯盆地东缘临兴区块本溪组、太原组和山西组泥页岩沉积特征、有机地球化学特征、储层特征以及含气性特征进行了研究,重点讨论了页岩气的富集区。研究成果表明:本溪组和太原组发育潮坪相沉积环境,山西组发育三角洲相沉积环境;整体属于中等-优质烃源岩,太原组烃源岩最好;本溪组和山西组有机质类型主要以腐殖型为主,太原组有机质类型主要以混合型-腐殖型为主;有机质成熟度整体处于成熟-高成熟阶段,具有良好的生烃潜力;储集层微裂隙较发育,属于低孔低渗类型;山西组和太原组的脆性矿物含量在50%以上,有利于后期压裂;研究区泥页岩具有较高的含气量和较强的吸附能力;山西组页岩气富集区主要集中在北部和西南部,太原组页岩气富集区主要集中在北部,且资源潜力最优,本溪组页岩气富集区主要集中在西北部和东北部边缘一小块区域,且资源潜力有限。     

湖南晚二叠世生物礁成岩作用的碳,氧同位素研究

本文通过对湖南晚二叠世生物礁中的有关胶结物及岩石的碳、氧稳定同位素研究,并结合薄片观察、探针成分分析、包裹体测温等,探讨了该地区生物礁成岩作用中的有关成岩特征。研究认为：①湖南晚二叠世生物礁中胶结物从早期到晚期δ＾１３Ｃ和δ＾１８Ｏ值总体上均有变轻的趋势,反映了礁体为一连续埋藏的成岩过程;②生物礁中所见白云石化现象主要属埋藏压实成因,礁休基本未受早期淡水或混合水影响;③礁中粗晶方解石胶结物形成于深     

咸化湖相富含层状藻与结构藻烃源岩的成烃特征新探与意义

咸化湖相沉积条件下形成的细粒沉积岩是我国页岩油勘探的热点层系。本文依据有机岩石学、扫描电镜、生烃动力学和高温高压加水热模拟实验,对准噶尔盆地吉木萨尔凹陷芦草沟组咸化湖相含有典型层状藻和结构藻的烃源岩的成烃特征进行对比研究。有机岩石学及扫描电镜观察表明两种藻类的赋存形式差异明显,结构藻的赋存形式主要为孤立分布特征,长度约为20～50μm;层状藻垂向上呈书页状叠置,水平延伸长。生烃动力学及高温高压热模拟实验结果指示了两种有机质的成烃过程具有明显的差异性,其中结构藻为主的烃源岩在较低成熟度就可以生成一定量烃类,随着演化程度的增加,生油速率缓慢,生油范围宽;层状藻为主烃源岩的生烃特征表现为集中生烃,生油窗范围窄且主要生烃活化能较高。该认识对于有效烃源岩评价和页岩油勘探层段与甜点区的选择均具有重要的启示和指导意义。     

Regolith thickness over the lunar nearside: Results from Earth-based 70-cm Arecibo radar observations

The inversion of regolith thickness over the nearside hemisphere of the Moon from newly acquired Earth-based 70-cm Arecibo radar data is investigated using a quantitative radar scattering model. The radar scattering model takes into account scattering from both the lunar surface and buried rocks in the lunar regolith, and three parameters are critically important in predicting the radar backscattering coefficient: the dielectric constant of the lunar regolith, the surface roughness, and the size and abundance of subsurface rocks. The measured dielectric properties of the Apollo regolith samples at 450 MHz are re-analyzed, and an improved relation among the complex dielectric constant, bulk density and regolith composition is obtained. The complex dielectric constant of the lunar regolith is estimated globally from this relation using the regolith composition derived from Lunar Prospector gamma-ray spectrometer data. To constrain the lunar surface roughness and abundance of subsurface rocks from radar data, nine regions are selected as calibration sites where the regolith thickness has been estimated using independent analysis techniques. For these sites, scattering from the lunar surface and buried rocks cannot be perfectly distinguished, and a tradeoff relationship exists between the size and abundance of buried rocks and surface roughness. Using these tradeoff relations as guidelines for globally representative parameters, the regolith thickness of four regions over the lunar nearside is inverted, and the inversion uncertainties caused by calibration errors of the radar data and model input parameters are analyzed. The regolith thickness of the maria is generally smaller than that of highlands, and older surfaces have thicker regolith thicknesses. Our approach cannot be applied to regions where the surface roughness is very high, such as with young rocky craters and regions in the highly rugged highlands.     

页岩孔隙空间的形成与演化及孔隙对含气性的影响

虽然页岩气的勘探已经在北美以及中国取得了突破,但是对页岩中孔隙空间的形成与发育仍然存在较大的争议,页岩中是否存在有效的孔隙,这些孔隙与气体的赋存有何联系都需要解答。本文对不同地区、不同岩石类型以及不同热成熟度的页岩进行微观分析,对比前人的研究,同时结合四川盆地龙马溪组页岩的实际分析数据,将页岩划分为富有机质页岩和含粉砂质泥页岩。富有机质页岩中有机质纳米孔是主要的孔隙类型,同时也是气体聚集与吸附的主要空间,有机质孔隙度与有机质含量、热成熟度密切相关;含粉砂质泥页岩中以粒间、粒内溶蚀孔为主,由于有机质含量较少,因而受热成熟影响很小。对页岩的孔隙形成机理分析发现,富有机质页岩孔隙度与有机质含量呈正相关,特别是与初始有机碳含量密切相关,因此恢复初始有机碳的含量是评价页岩含气量与含气性的关键。在热演化程度较低时（Ro < 0.6%）,页岩中有机质孔隙不发育,页岩几乎不含气;随着热演化程度升高（Ro = 0.8%）,页岩微孔隙发育,此时页岩以吸附气为主;随着热演化程度增大（Ro > 1.2%）,微孔逐渐向中孔和宏观孔转化,总的比表面积减小,页岩中游离气含量开始增加,吸附气含量减少。     

Parameterization of the Ångström–Prescott formula based on machine learning benefit estimation of reference crop evapotranspiration with missing solar radiation data

Accurately estimated reference evapotranspiration (ET₀) is essential to regional water management. The FAO recommends coupling the Penman–Monteith (P-M) model with the Ångström–Prescott (A-P) formula as the standard method for ET₀ estimation with missing R_s measurements. However, its application is usually restricted by the two fundamental coefficients (a and b) of the A-P formula. This paper proposes a new method for estimating ET₀ with missing R_s by combining machine learning with physical-based P-M models (PM-ET₀). The benchmark values of the A-P coefficients were first determined at the daily, monthly, and yearly scales, and further evaluated in R_s and ET₀ estimates at 80 national R_s measuring stations. Then, three empirical models and four machine-learning methods were evaluated in estimating the A-P coefficients. Machine learning methods were also used to estimate ET₀ (ML-ET₀) to compare with the PM-ET₀. Finally, the optimal estimation method was used to estimate the A-P coefficients for the 839 regular weather stations for ET₀ estimation without R_s measurement for China. The results demonstrated a descending trend for coefficient a from northwest to southeast China, with larger values in cold seasons. However, coefficient b showed the opposite distribution as the coefficient a. The FAO has recommended a larger a but a smaller b for southeast China, which produced the region's largest R_s and ET₀ estimation errors. Additionally, the A-P coefficients calibrated at the daily scale obtained the best estimation accuracy for both R_s and ET₀, and slightly outperformed the monthly and yearly coefficients without significant difference in most cases. The machine learning methods outperformed the empirical methods for estimating the A-P coefficients, especially for the sites with extreme values. Further, ML-ET₀ outperformed the PM-ET₀ with yearly A-P coefficients but underperformed those with daily and monthly ones. This study indicates an exciting potential for combining machine learning with physical models for estimating ET₀. However, we found that using the A-P coefficients with finer time scales is unnecessary to deal with the missing R_s measurements.     

Oncolites of the Lower Permian ChuanshanFormation in South China and Their Geologicaland Economic Significance

A large amount of oncolites popularly named " Chuanshan balls" occur universally in the Lower Permian Chuanshan Formation in South China. These kinds of oncolites have the following characteristics: wide distribution, huge quantities, large sedimentary thickness and similar characters, which constitute a specific " fashion fades" in geological history. The authors consider that these kinds of oncolites were due to the intense differentiation of the global climate at that time, which resulted in a universal descent of the sea level and breeding of a large amount of algae in sea water over low-latitude areas. According to the distribution and characteristics of the oncolitic, relative relationships between different tectonic blocks may be inferred, diagenetic strength indicated and diagenetic history recovered, and more important, oncolites serve as a favourable reservoir rock, so their study is of great theoretical and economic significance.     

查干凹陷早白垩世碎屑岩储层成岩作用及孔隙演化

在对大量薄片和岩心观察分析基础上,结合扫描电镜和全岩分析、 X衍射粘土分析、 包裹体测温等手段,对查干凹陷碎屑岩储层的成岩作用和孔隙演化进行了研究。结果表明: 研究区碎屑岩储层主要为低成分成熟度、 低结构成熟度的长石岩屑砂岩,成岩作用呈现“强压实、 强胶结、 弱交代、 弱溶蚀“的“两强两弱”特征;成岩阶段主要处于中成岩A期,局部达中成岩B期至晚成岩期。两期胶结主要发生在苏二早期和乌兰苏海时期,中浅层（<2 500 m）较低孔隙度主要由于强压实和早期致密胶结所致;较高孔隙度是由于原生孔隙保存较好,长石及碳酸盐胶结物的溶蚀作用导致孔隙度增大。深层碎屑岩储层（>2 500 m）较低孔隙度除压实作用外,碳酸盐致密胶结是主因;较高孔隙度则为早期酸性溶蚀叠加晚期碱性溶蚀产生次生孔隙为主。晚期碱性溶蚀发生在油气充注之后,为无效溶孔。     

河南渑池县仰韶村遗址不同土层微形态特征研究

仰韶文化时期气候环境与古人类活动是如何变化？大部分变化信息尽管从宏观视野中消失,但却保存在土壤微形态中。故文章采用土壤微形态学方法,对仰韶村遗址一处含有文化层区域进行多点采样,通过比较古土壤、文化层和表土层土壤微形态特点差异,研究了气候变化及古人类活动对土壤微形态的影响,为探究仰韶文化时期的古人类活动遗迹和古农业发展状况提供依据。结果显示：1）古土壤层中具有明确边界的铁质垒结形成物,粗粒质多分解细小颗粒,呈现堆积状,细粒质多为微晶b-垒结,细粒质与粗粒质相对分布主要呈现包膜状和桥接状,孔隙壁附着锰质胶膜。2）文化层中粗粒质多分解细小颗粒,呈现堆积状,细粒质呈现出多种b-垒结,细粒质与粗粒质空间关系也呈现多样化。孔隙壁附着腐殖质,孔道内填充炭屑。3）表土层中土壤形成物主要为继承性钙质形成物和钙质新生体,还可识别淀积黏粒体,土壤垒结回归单一,孔隙呈现出堆集性不规则非稳定态。研究发现：1）古土壤层主要受暖湿气候影响,脱硅富铁铝化作用明显,次生矿物以赤铁矿为主。古人类开始居住活动,促进了土壤发育,淀积黏化作用明显,黏粒胶膜发育充分。2）文化层主要受到古人类活动影响,古人类活动强度增强,土壤形成...     

Distribution and pollution assessment of heavy metals in surface sediments in the Yellow Sea

Heavy metal concentrations in surface sediments at 56 stations during two cruises in the Yellow Sea in summer and winter, 2011 were analyzed by inductively coupled plasma-mass spectrometry. The pollution status was assessed via the Geoaccumulation index and Hankanson potential ecological risk index. Higher concentrations of heavy metals (except for Mn) were found in the central Southern Yellow Sea and the western Northern Yellow Sea. The higher contents of Mn were much closer to Shandong Peninsula. Correlation analyses indicated that Pb, Cu, Fe, Ni, Zn and Co probably had the same origin and were controlled by grain size and total organic carbon. Pollution assessment showed that most areas of the Yellow Sea were not or lowly contaminated with the exception of the northwest and south parts of the Southern Yellow Sea showing Cd-contamination. The pollution status of the Yellow Sea in summer was worse than that in winter.