Evolution of 2:1 layered silicates in low-grade metamorphosed Liassic shales of Central Switzerland

White mica from the Liassic black shales and slates in Central Switzerland was analysed by transmission electron microscopy (TEM) and electron microprobe to determine its textural and compositional evolution during very low-grade prograde metamorphism. Samples were studied from the diagenetic zone, anchizone and epizone (T ≈100°–450 °C). Phyllosilicate minerals analysed include illite/smectite (I/S), phengite, muscovite, brammallite, paragonite, margarite and glauconite. Textural evolution primarily is towards larger, more defect-free grains with compositions that approach those of their respective end-members. The smectite-to-illite transformation reduced the amounts of the exchange components SiK_?1Al_?1, MgSiAl_?2, and Fe³⁺Al_?1. These trends continue to a lesser degree in the anchizone and epizone. Correlations between the proportion of smectite in I/S and the composition of I/S indicate that smectite layers may contain a high layer charge. Illite in I/S bears a compositional resemblance to macrocrystalline phengite in some samples, but is different in others. Paragonite first appears in the upper diagenetic zone or lower anchizone as an interlayer-deficient brammallite, and it may be mixed with muscovite on the nanometre scale. Owing to the small calculated structure factor for paragonite-muscovite superstructures, conventional X-ray powder diffraction cannot distinguish between mixed-layer structures and a homogeneous compositionally intermediate solid solutions. However, indirect TEM evidence shows that irregularly shaped domains of Na- and K-rich mica exist below 10 nm. Subsequent coarsening of domains at higher grades produced discrete paragonite grains at the margins of muscovite crystals or in laths parallel to the basal plane of the host muscovite. Margarite appears in the epizone and follows a textural evolution similar to paragonite in that mixtures of margarite, paragonite, and muscovite may initially occur on the nanometre scale. However, no evidence of interlayer-poor margarite has been found.     

东营凹陷北部沙河街组四段深部储层多重成岩环境及演化模式

主要通过薄片鉴定、扫描电镜观察、包裹体分析、粘土矿物分析、镜质体反射率测试和岩心物性分析等手段,结合构造发育史和有机质热演化史等研究成果,以揭示东营凹陷北带古近系深部碎屑岩储层成岩环境及演化模式为目的展开研究工作。结果表明:东营凹陷北带古近系深部碎屑岩储层存在酸性、碱性和酸性碱性交替等多重成岩环境。酸性成岩环境以碳酸盐矿物溶解、长石溶解蚀变为高岭石并伴生石英次生加大等为标志,碱性成岩环境以石英质颗粒及其次生加大边溶解、长石次生加大和晚期碳酸盐矿物沉淀为标志。研究区古近系深部碎屑岩储层成岩环境由浅至深大致经历了碱性—酸性—酸性碱性交替(局部碱性较强)—碱性—弱碱性的演化过程,并建立了沙河街组四段的成岩演化和储层改造模式。     

Accuracy assessment of lidar-derived digital elevation models

Despite the relatively high cost of airborne lidar-derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate of accuracy. For the most part, DEM accuracy estimates are typically provided by comparing lidar heights against a finite sample of check point coordinates from an independent source of higher accuracy, supposing a normal distribution of the derived height differences or errors. This paper proposes a new methodology to assess the vertical accuracy of lidar DEMs using confidence intervals constructed from a finite sample of errors computed at check points. A non-parametric approach has been tested where no particular error distribution is assumed, making the proposed methodology especially applicable to non-normal error distributions of the type usually found in DEMs derived from lidar. The performance of the proposed model was experimentally validated using Monte Carlo simulation on 18 vertical error data-sets. Fifteen of these data-sets were computed from original lidar data provided by the International Society for Photogrammetry and Remote Sensing Working Group III/3, using their respective filtered reference data as ground truth. The three remaining data-sets were provided by the Natural Environment Research Council's Airborne Research and Survey Facility lidar system, together with check points acquired using high precision kinematic GPS. The results proved promising, the proposed models reproducing the statistical behaviour of vertical errors of lidar using a favourable number of check points, even in the cases of data-sets with non-normally distributed residuals. This research can therefore be considered as a potentially important step towards improving the quality control of lidar-derived DEMs.     

碎屑岩自生粘土矿物的沉淀作用及其对储层的影响——以川西坳陷上三叠统须家河组砂岩为例

粘土矿物是影响碎屑岩储层物性的重要因素.本文以川西坳陷孝泉-新场-合兴场地区上三叠统须家河组砂岩为例,应用铸体薄片、普通薄片、X射线衍射分析和扫描电镜分析,研究了在成岩过程中自生粘土矿物的沉淀作用及其对储层的影响.结果表明自生绿泥石对储层原生孔隙的保存和次生孔隙的发育有利,自生高岭石的含量反映了次生孔隙的发育程度,而伊利石对储层的影响是负面的.     

箕状断陷湖盆缓坡带层序地层格架内成岩特征研究——以东营凹陷南部缓坡带沙河街组为例

东营凹陷在沙河街组沉积期为北陡南缓的箕状断陷湖盆。通过钻井岩心、测井、薄片及扫描电镜分析,在断陷湖盆的南缓坡带古近系沙河街组中识别出了冲积扇、河流、三角洲和湖？白沉积体系,以及滨浅湖砂坝和缓坡远端浊积扇沉积相。建立了东营凹陷南部缓坡带层序地层格架及层序演化模式。在此基础上,详细研究了层序地层格架内的成岩作用特征。层序地层格架内主要成岩作用类型有压实作用、压溶作用、溶解作用等,成岩阶段为早成岩A、B期,晚成岩A、B期。层序地层格架内发育了碳酸盐胶结、石英次生加大、高岭石胶结和泥岩压实四种成岩相。     

苏北盆地泰州组砂岩成岩序列和储集层质量主控因素分析?

基于53口井310余块储集层砂岩样品的分析研究,指出泰州组储集层存在着压实(压溶)、胶结和溶蚀等成岩作用,但在不同位置成岩作用的表现有所不同。海安凹陷以胶结和溶蚀作用为主,压实与压溶作用不太明显;高邮凹陷的压实程度较海安凹陷强烈。压实作用使得高邮凹陷泰州组储集层孔隙度在2 400～2 800 m处于10%左右,而海安凹陷为10%～20%。海安凹陷和高邮凹陷泰州组储集层目前处于中成岩阶段A期。储集层质量主要受原始沉积环境和成岩作用的综合影响。压实作用和胶结作用均可降低孔隙,但当碳酸盐胶结物含量小于15％时,胶结作用对储集层质量影响较小。碳酸盐胶结物和长石颗粒溶蚀形成了大量的粒间溶孔。海安凹陷有利储集层主要分布在西北部和东部三角洲前缘砂体和滑塌浊积扇砂体中,高邮凹陷有利储集层主要分布在南部扇三角洲前缘砂体中。     

山东车镇凹陷东部古近系沙河街组成岩作用

车镇凹陷沙河街组的沉积体系受控于盆地内的构造、物源供给以及沉积时的气候环境。以岩石学特征为基础，描述了成岩过程中压实与压溶作用、胶结作用、溶解作用与次生孔隙的特征，以及次生孔隙带在本区的分布。论述了碳酸盐胶结物与粘土矿物胶结作用的特点。粘土矿物蒙脱石-伊利石转变具有明显的渐变与突变交替的演化程式，其演化经历了蒙脱石带、渐变带、迅速转化带和伊利石带以及蒙脱石向伊利石的转变带。沙河街组的成岩作用划分为早期成岩阶段（A期、B期）和晚期成岩阶段（A期、B期、C期），并提出了成岩阶段的划分标志。     

泌阳凹陷安棚油田深层系成岩作用研究及其在成岩圈闭预测中的应用

深层系一般指沉积盆地中埋藏深度在2 500～2 700 m以下的地层,其储集物性普遍很差,但在一定条件下,深部溶蚀作用可产生优质储层,形成成岩圈闭.然而这种成岩圈闭的预测一直是一个难题.安棚油田位于河南泌阳凹陷东南部,勘探成果表明,在该油田深层系下第三系核桃园组核三段下部(简称(核三下)席状的扇三角洲砂体中存在成岩圈闭.本次通过定量的成岩作用研究和成岩阶段划分,对成岩圈闭的形成机理和分布进行了探讨.研究表明,该区核三下的砂体经历了压实、胶结、溶蚀等多种成岩作用,不同的成岩作用发生于不同的埋藏深度.2 700～3 100 m之间以胶结强烈为特征,属于胶结带.3 100～3 900 m之间以次生溶蚀孔隙发育为特征,尤其是3 200～3 600 m之间, 属于深部溶蚀带.本区核三下砂体自南而北埋藏深度逐渐变浅,其上倾方向处于胶结带的部分由于强烈胶结而变成致密层,可封堵油气,而下倾方向处于溶蚀带的部分由于次生溶蚀孔隙发育而成为良好储层,从而形成成岩圈闭.根据不同埋藏深度、不同成岩阶段孔隙发育和保存的特征,可预测成岩圈闭分布。     

Method of Data Reduction and Uncertainty Estimation for Platinum-Group Element Data Using Inductively Coupled Plasma-Mass Spectrometry

A data reduction method is described for determining platinum-group element (PGE) abundances by inductively coupled plasma-mass spectrometry (ICP-MS) using external calibration or the method of standard addition. Gravimetric measurement of volumes, the analysis of reference materials and the use of procedural blanks were all used to minimise systematic errors. Internal standards were used to correct for instrument drift. A linear least squares regression model was used to calculate concentrations from drift-corrected counts per second (cps). Furthermore, mathematical manipulations also contribute to the uncertainty estimates of a procedure. Typical uncertainty estimate calculations for ICP-MS data manipulations involve: (1) Carrying standard deviations from the raw cps through the data reduction or (2) calculating a standard deviation from multiple final concentration calculations. It is demonstrated that method 2 may underestimate the uncertainty estimate of the calculated data. Methods 1 and 2 do not typically include an uncertainty estimate component from a regression model. As such models contribute to the uncertainty estimates affecting the calculated data, an uncertainty estimate component from the regression must be included in any final error calculations. Confidence intervals are used to account for uncertainty estimates from the regression model. These confidence intervals are simpler to calculate than uncertainty estimates from method 1, for example. The data reduction and uncertainty estimation method described here addresses problems of reporting PGE data from an article in the literature and addresses both precision and accuracy. The method can be applied to any analytical technique where drift corrections or regression models are used.