红河断裂活动对琼东南盆地环崖南凹陷构造-沉积-成藏的影响

琼东南盆地西部环崖南凹陷的油气勘探亟需寻找接替领域.针对勘探研究中存在的3个地质问题,利用丰富的钻井和地震资料对红河断裂活动特征及其对环崖南凹陷构造-沉积-成藏的影响开展深入分析.认为红河断裂的走滑活动通过F1断层向琼东南盆地西部传递剪切应力,其演化与环崖南凹陷的构造-沉积作用具有良好的时空耦合关系,并控制了环崖南凹陷...     

湖南禾库地区水系沉积物地球化学特征及找矿预测

依据1∶5万水系沉积物测量资料,分析研究了湖南禾库地区水系沉积物地球化学特征。对元素分布、单元素异常、元素相关性、异常元素组合等特征的研究表明水系沉积物地球化学测量方法在高山峻岭、地形复杂的禾库地区有良好的找矿效果,并优选了嗅脑和杉木冲2处铅锌找矿远景区。     

大青山地区2.5 Ga紫苏花岗岩——对深熔石榴花岗岩成因模式的启示

华北克拉通北缘西部陆块早前寒武纪基底分布广泛,现有的研究普遍认为经历 2.5 Ga,2.45~2.37 Ga,1.95 Ga和1.85 Ga变质热事件影响。华北克拉通北缘阴山陆块中2.5 Ga的紫苏花岗岩研究已经成为了揭示华北克拉通北缘早前寒武纪构造演化的一个热点,但孔兹岩带中却鲜少有新太古代晚期构造热事件的相关报道。近年来,相继从大青山地区的孔兹岩带石榴黑云母片麻岩中分辨出一期具有2.45~2.37 Ga变质锆石年龄的大青山表壳岩,同时出露与其成因关系密切的深熔石榴花岗岩,但其深熔成因的模式存在争议。本文对大青山地区新发现的新太古代晚期紫苏花岗岩、石榴花岗岩及其围岩的野外空间产出关系和锆石年代学进行对比分析,为探究深熔石榴花岗岩成因模式提供重要的启示。     

A Quantitative Evaluation of Shale Gas Content in Different Occurrence States of the Longmaxi Formation: A New Insight from Well JY-A in the Fuling Shale Gas Field,Sichuan Basin

Comprehensive quantitative evaluation of shale gas content and the controlling factors in different occurrence states is of great significance for accurately assessing gas-bearing capacity and providing effective well-production strategies. A total of 122 core samples from well JY-A in the Fuling shale gas field were studied to reveal the characteristics of S_1 l shale,15 of which were selected to further predict the shale gas content in different occurrence states, which are dependent on geological factors in the thermal evolution process. Geological parameters were researched by a number of laboratory programs, and the factors influential in controlling shale gas content were extracted by both PCA and GRA methods and prediction models were confirmed by the BE method using SPSS software. Results reveal that the adsorbed gas content is mainly controlled by TOC, Ro, SSA, PD and pyrite content, and the free gas content is mainly controlled by S_2, quartz content, gas saturation and formation pressure for S_1 l in well JY-A. Three methods, including the on-site gas desorption method, the empirical formula method, and the multiple regression analysis method were used in combination to evaluate the shale gas capacity of well JY-A, all of which show that the overall shale gas content of well JY-A is in the range of 2.0–5.0 m~3/t and that the free gas ratio is about 50%, lower than that of well JY-1. Cause analysis further confirms the tectonics and preservation conditions of S_1 l in the geological processes, especially the influence of eastern boundary faults on well JY-A, as the fundamental reasons for the differences in shale gas enrichment in the Jiaoshiba area.     

Early Cretaceous Adakitic Rocks in the Northern Great Xing’an Range, NE China: Implications for the Final Closure of Mongol-Okhotsk Ocean and Regional Extensional Setting

A large amount of igneous rocks in NE China formed in an extensional setting during Late Mesozoic. However, there is still controversy about how the Mongol-Okhotsk Ocean and the Paleo-Pacific Ocean effected the lithosphere in NE China. In this paper, we carried out a comprehensive study for andesites from the Keyihe area using LA-ICP-MS zircon UPb dating and geochemical and Hf isotopic analysis to investigate the petrogenesis and tectonic setting of these andesites. The U-Pb dating yields an Early Cretaceous crystallization age of 128.3±0.4 Ma. Geochemically, the andesites contain high Sr(686–930 ppm) and HREE contents, low Y(11.9–19.8 ppm) and Yb(1.08–1.52 ppm) contents, and they therefore have high Sr/Y(42–63) and La/Yb(24–36) ratios, showing the characteristics of adakitic rocks. Moreover, they exhibit high K_2O/Na_2O ratios(0.57–0.81), low Mg O contents(0.77–3.06 wt%), low Mg# value(17–49) and negative εHf(t) values(-1.7 to-8.5) with no negative Eu anomalies, indicating that they are not related to the oceanic plate subduction. Based on the geochemical and isotopic data provided in this paper and regional geological data, it can be concluded that the Keyihe adakitic rocks were affected by the Mongol-Okhotsk tectonic regime, forming in a transition setting from crustal thickening to regional extension thinning. They were derived from the partial melting of the thickened lower crust. The closure of the Mongol-Okhotsk Ocean may finish in early Early Cretaceous, followed by the collisional orogenic process. The southern part region of its suture belt was in a post-orogenic extensional setting in the late Early Cretaceous.     

山西隆起区燕山期构造变形特征

山西隆起区燕山运动期间表现出以逆冲断层、纵弯褶皱为基本结构要素的收缩构造变形特征。区内不同时代地层具有独特的岩石组合和物理性质,保存和记录了燕山期构造在不同层次的变形样式和特征。通过对地表地质、地貌及构造特征的研究分析,初步总结出“分层收缩变形,垂向叠置增厚”的构造模式。应用平衡剖面法对近东西向收缩变形所造成的水平缩短与垂向加厚效应进行了定量估算,剖面复原表明,变形前、后隆起区总体水平缩短率约为 32.8%,垂向加厚使寒武系底部不整合界面在隆起区比鄂尔多斯盆地高出约5 km。强烈的冲断抬升和褶皱变形造成上部地壳横向缩短,垂向增厚,使原本垂向上有序叠置的地质体和不同层次构造形迹在空间位置上发生了较大变化。现在地表地质体的空间分布、北部和南部褶皱组合样式的差异,以及断裂沿走向的分段性,都是构造变形垂向分层性的表现形式,是后期隆升、剥蚀程度差异在地表造成的结果。     

Multi-step ahead short-term predictions of storm surge level using CNN and LSTM network

Storm surges pose significant danger and havoc to the coastal residents' safety, property, and lives, particularly at offshore locations with shallow water levels. Predictions of storm surges with hours of warning time are important for evacuation measures in low-lying regions and coastal management plans. In addition to experienced predictions and numerical models, artificial intelligence (AI) techniques are also being used widely for short-term storm surge prediction owing to their merits in good level of prediction accuracy and rapid computations. Convolutional neural network (CNN) and long short-term memory (LSTM) are two of the most important models among AI techniques. However, they have been scarcely utilised for surge level (SL) forecasting, and combinations of the two models are even rarer. This study applied CNN and LSTM both individually and in combination towards multi-step ahead short-term storm surge level prediction using observed SL and wind information. The architectures of the CNN, LSTM, and two sequential techniques of combining the models (LSTM–CNN and CNN–LSTM) were constructed via a trial-and-error approach and knowledge obtained from previous studies. As a case study, 11 a of hourly observed SL and wind data of the Xiuying Station, Hainan Province, China, were organised as inputs for training to verify the feasibility and superiority of the proposed models. The results show that CNN and LSTM had evident advantages over support vector regression (SVR) and multilayer perceptron (MLP), and the combined models outperformed the individual models (CNN and LSTM), mostly by 4％–6％. However, on comparing the model computed predictions during two severe typhoons that resulted in extreme storm surges, the accuracy was found to improve by over 10％ at all forecasting steps.     

Application of an optical nitrate profiler to high- and low-turbidity coastal shelf waters

Here, we report the results of high-resolution nitrate measurements using an optical nitrate profiler(in situ ultraviolet spectrophotometer, ISUS) along transect across a high-turbidity shelf(East China Sea) and a lowturbidity shelf(Chukchi Sea). The ISUS-measured nitrate concentrations closely reproduced the results measured by conventional bottle methods in low-turbidity waters. However, for high-turbidity waters of the East China Sea(salinity<30), a correction factor of 1.19 was required t...