印尼8.7、8.5级远震对云南地区小震的激发和地下流体异常响应初探

2004年12月26日和2005年3月29日,印度尼西亚苏门答腊西北海域相继发生8.7和8.5级地震。通过对这两次地震与云南地震活动关系和地下流体记录异常变化的分析,认为:印尼两次8级地震的发生可能会使云南提前进入新一轮强震活跃期;远震对云南地区小震的激发和导致地下流体记录出现异常变化的因素虽然都与大地震面波的强弱、地质构造环境等有关,但机理不同。     

低渗透储层的径向电阻率特征及含油性 ——以鄂尔多斯盆地洛河油田延长组长61为例

鄂尔多斯盆地中部洛河油田长61低渗透油层由于含油饱和度变化大、油层非均质强,再加淡水钻井液侵入,造成油层电阻率径向分布不均且变化大。通过双感应-八侧向测井与阵列感应测井响应特征对比分析,认为水层的径向电阻率均为增阻侵入,油层、油水同层的径向电阻率普遍具有减阻侵入、低阻环带、高阻环带特征或相关趋势。其中,减阻侵入有助于识别高含油饱和度、高电阻率油层和油水同层,低阻环带和高阻环带有助于识别低电阻率油水同层。另外,部分油水同层的双感应-八侧向测井径向电阻率组合具有“增阻侵入”且深感应电阻率低的特征,推测可能是受双感应-八侧向测井探测范围限制,为低阻环带靠近井眼附近遭受淡水钻井液侵入影响的结果,深感应测井反映的是侵入带电阻率而不是油水同层的电阻率,容易被误解释为水层。因此,对于双感应-八侧向测井中具有“增阻侵入”特征且深感应电阻低值的储层,其流体性质有水层、油水同层这两种可能性,需要结合深探测测井资料或油藏地质特征进一步分析,以提高油层、水层的识别率。     

大弹涂鱼(Boleophthalmus pectinirostris) Gal-8L基因序列及其细菌凝集活性的鉴定

半乳糖凝集素-8基因(galectin-8,Gal-8)属于凝集素家族一员。已知Gal-8在哺乳动物的先天免疫中发挥重要作用,然而在鱼类中却鲜有报道。本研究通过转录组测序获得大弹涂鱼(Boleophthalmus pectinirostris)半乳糖凝集素-8样基因(galectin-8 like,Bp Gal-8L)c DNA序列。首先确定其序列特征,其次采用实时定量PCR(real-time quantitative PCR,q PCR)的方法鉴定Bp Gal-8L组织表达分布及其与迟缓爱德华氏菌(Edwardsiella tarda)感染相关性;最后分别通过原核表达获得N端和C端CRD区重组蛋白Bp Gal-8L-N和Bp Gal-8L-C,并采用玻片法观察这两个CRD区的细菌凝集活性和糖类结合特性。多重序列比对显示,Bp Gal-8L蛋白含有两个糖识别结构域(carbohydrate recognition domain,CRD),但只有C端的CRD区存在Gal家族典型的β-半乳糖苷糖类结合基序。系统进化树表明Bp Gal-8L属于鱼类Gal-8的一种亚型。q PCR结果显示,Bp Gal-8L基因m RNA在各组织中普遍表达,并且在迟缓爱德华氏菌感染后大弹涂鱼肝和脾中表达量呈上调趋势。细菌凝集实验结果显示,只有Bp Gal-8L-C重组蛋白对检测的5种革兰氏阴性菌及2种革兰氏阳性菌有凝集作用,并与乳糖和脂多糖特异性结合。综上所述,Bp Gal-8L与大弹涂鱼抗菌免疫密切相关,且其N端和C端CRD区发挥不同作用。     

Episodic fluid flow as a trigger for Miocene‐Pliocene slope instability on the Utgard High,Norwegian Sea

Mass wasting is triggered on many continental slopes by a number of mechanisms, including seismic shaking, high sedimentation rates, the presence of weak geological units and gas hydrate dissociation. In this study, the morphology of a Late Miocene–Early Pliocene mass‐transport complex (MTC) on the Utgard High is unravelled and discussed in relation to possible trigger mechanisms. The approach used here includes 3D seismic interpretation and the analysis of variance attribute maps. The interpreted MTC is located on the crest and flanks of the Utgard High and is composed of three mass‐transport deposits with seismic characters varying from transparent and chaotic seismic facies at the base to slightly deformed layers composed of mounds and rafted blocks in the middle and chaotic to transparent reflections at the top. Lithologically, the MTC consists predominantly of claystone with high gamma ray and low density and resistivity values, demonstrating that the associated mounds represent remobilized ooze sediments. A vertical stack of six magmatic sills emplaced from 55.6 to 56.3 Ma into the Upper Cretaceous shales is interpreted at depths of 3,000–5,500 ms two‐way travel time (TWTT). In association with these magmatic sills are several hydrothermal vent complexes that interacted with the top MTC horizon, signifying that episodic and secondary fluid‐venting events might be the principal mechanism facilitating mass wasting in the study area. In addition, the remobilization of ooze sediments into mounds is hypothesized to be dependent on fluids and clayey layers. As a corollary of this work, the importance of relict and recurrent episodes of fluid flow in the Vøring Basin and their influence on the geotechnical integrity of the overburden and later mass wasting is established.     

姬塬地区长8油层组浅水三角洲沉积特征

姬塬地区位于鄂尔多斯盆地中偏西部地区,晚三叠世主要受北东、北西及南部三个方向的物源控制。通过岩心观察、薄片鉴定、测井曲线等资料的综合分析,对研究区上三叠统长8油层组岩石类型、沉积构造、物源方向、古生物和沉积相特征进行了详细研究,发现长8沉积时期姬塬地区地形平缓,河流作用较弱,主要发育一套浅水三角洲沉积体系,其沉积作用和砂体展布受湖平面升、降和物源方向控制明显,对油气成藏有着重要的意义,表现为:①湖平面上升期,湖岸线快速向物源方向迁移,以发育长条状和鸟足状水上—水下分流河道砂体为主;②下降期以发育三角洲平原为主,来自不同物源方向的前缘砂体在研究区中部交汇;③湖平面上升期水下分流河道砂体呈席状发育以及岩性遮挡条件更好,因而比湖平面下降期发育的砂体更有利于形成岩性油藏。     

苏里格气田盒8气藏气水层测井识别研究

鄂尔多斯盆地苏里格气田盒8气藏为弹性驱动的河流相低效气藏,储层非均质性强,在开发中普遍见水。根据试采情况将气藏储层分为气层、水层、气水层三类,开展气、水层的测井识别研究。以区内26口井50个射孔层段各层的试油结果作为依据,选出了700个样本点作为判识建模的标本,以声波时差和中子孔隙度等8个原始测井值作为判识变量组合,采用模糊判别分析,建立了各层的判识模型。回判结果表明,模型对气层精度达到97％,水层为89％,气水层为94％。利用未参加建模的出水井射孔段对模型进行验证,判识结果基本符合实际情况,模型具有较高精度。     

The Alleret maar (Massif Central, France): A new lacustrine sequence of the early Middle Pleistocene in western Europe

The Alleret maar (Massif Central, France) provides a long lacustrine sequence (40.6 m) attributed to the early Middle Pleistocene. Sediment, pollen and diatoms analysis of its upper part (AL2 core, 14.6 m) indicates two temperate phases marked by high lake levels, forest development and vegetation expansion. They are separated by a cold period during which lake level drops, coarse sediment input increases and steppic and xerophilous plants develop. Pollen data suggests that this sequence belongs to the upper part of the Cromerian complex. These results are in agreement with the 557 ± 3 ka (±12 ka, including all errors) ⁴⁰Ar/³⁹Ar age obtained from an interbedded tephra layer emitted by the Mont-Dore/Sancy strato-volcano and establish that this sequence probably covers the MIS 15 substages.     

鲁西南8-9月份阴雨日数与前期大气环流关系

对鲁西南1979-2008年8-9月份阴雨日数进行统计分析,发现8-9月份阴雨日数总体呈上升趋势;与前期北半球500hPa月平均高度场进行相关分析,结果表明：8-9月份阴雨日数与北半球500hPa平均高度场存在显著的滞后相关性,共得出45个优势相关区,相关区具有明显的区域性,大多数优势相关区出现在60篘以南地区。阴雨日数与前期极涡位置及强弱有很好的对应关系。从优势相关区提取的预报因子具有明显的季节性,上一年秋冬季预报因子占6/9;建立预报方程,试用效果较好。     

A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image

Cloud Masking is one of the most essential products for satellite remote sensing and downstream applications. This study develops machine learning-based (ML-based) cloud detection algorithms using spectral observations for the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite. Collocated active observations from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) are used to provide reference labels for model development and validation. We introduce both daytime and nighttime algorithms that differ according to whether solar band observations are included, and the artificial neural network (ANN) and random forest (RF) techniques are adopted for comparison. To eliminate the influences of surface conditions on cloud detection, we introduce three models with different treatments of the surface. Instead of developing independent ML-based algorithms, we add surface variables in a binary way that enhances the ML-based algorithm accuracy by ~5%. Validated against CALIOP observations, we find that our daytime RF-based algorithm outperforms the AHI operational algorithm by improving the accuracy of cloudy pixel detection by ~5%, while at the same time, reducing misjudgment by ~3%. The nighttime model with only infrared observations is also slightly better than the AHI operational product but may tend to overestimate cloudy pixels. Overall, our ML-based algorithms can serve as a reliable method to provide cloud mask results for both daytime and nighttime AHI observations. We furthermore suggest treating the surface with a set of independent variables for future ML-based algorithm development.     

Spatiotemporal Variations of Microwave Land Surface Emissivity (MLSE) over China Derived from Four-Year Recalibrated Fengyun 3B MWRI Data

Microwave Land Surface Emissivity (MLSE) over China under both clear and cloudy sky conditions was retrieved using measurements of recalibrated microwave brightness temperatures (Tbs) from Fengyun-3B Microwave Radiation Imager (FY-3B MWRI), combined with cloud properties derived from Himawari-8 Advanced Himawari Imager (AHI) observations. The contributions from cloud particles and atmospheric gases to the upwelling Tbs at the top of atmosphere were calculated and removed in radiative transfer. The MLSEs at horizontal polarizations at 10.65, 18.7, and 36.5 GHz during 7 July 2015 to 30 June 2019 over China showed high values in the southeast vegetated area and low values in the northwest barren, or sparsely vegetated, area. The maximum values were found in the belt area of the Qinling-Taihang Mountains and the eastern edge of the Qinghai-Tibet Plateau, which is highly consistent with MLSEs derived from AMSR-E. It demonstrates that the measurements of FY-3B MWRI Tbs, including its calibration and validation, are reliable, and the retrieval algorithm developed in this study works well. Seasonal variations of MLSE in China are mainly driven by the combined effects of vegetation, rainfall, and snow cover. In tropical and southern forest regions, the seasonal variation of MLSE is small due to the enhancement from vegetation and the suppression from rainfall. In the boreal area, snow causes a significant decrease of MLSE at 36.5 GHz in winter. Meanwhile, the MLSE at lower frequencies experiences less suppression. In the desert region in Xinjiang, increases of MLSEs at all frequencies are observed with increasing snow cover.