桂北同乐-老堡地区铅锌矿控矿因素及找矿预测     

陈文伦  蒋勇辉 《华南地质与矿产》2019,35(4):433-440

桂北同乐-老堡地区位于南岭成矿带西段,已发现老堡、大滩等铅锌矿床、矿点多处,矿床类型以沉积-改造型为主。在对成矿地质背景研究的基础上,探讨了地层、岩性、构造与铅锌成矿的关系。根据研究区内的成矿地质背景、控矿条件以及化探异常分布特点等因素,划分出3个铅锌找矿远景区,2个找矿靶区,为下一步矿产勘查工作提供了依据。  相似文献   

辽宁查马屯铁矿三维地质建模及深部预测     

白银增  赵涌涛  王泽蛟  刘幸  李超 《地质与资源》2019,28(4):321-325

查马屯铁矿是一处隐伏于中生代火山沉积岩之下的沉积变质型铁矿床,矿体规模大、埋藏浅,深部资源潜力巨大.利用三维地质体建模软件Creatar,通过收集钻孔数据,建立地质数据库,生成三维钻孔.通过剖面定义、单工程矿体圈定、剖面编辑、曲面连接,建立矿体三维模型.依据"点-线-面-体"的思路,建立了辽宁查马屯铁矿三维地质模型.模型显示,查马屯铁矿体西南段向北西倾斜,北东部向南东倾斜,呈北东东向展布,应沿该方向部署找矿.矿体与磁异常复合关系表明,2号矿体南部存在巨大找矿空间,查马屯村南部及北东部是下一步找矿勘探的重点方向.  相似文献   

马来盆地成藏规律研究及有利区预测     

王永臻  唐书恒  郑求根 《地质与资源》2019,28(6):576-589

马来盆地烃源岩包括湖相页岩和河流三角洲相煤、页岩.湖相烃源岩为盆地主力烃源岩,K组页岩是盆地中生烃潜力最好的烃源岩.盆地中部源岩通常都是过成熟,边缘大多处于生油窗或未成熟.中-晚中新世马来盆地发生构造反转,反转主要集中在盆地的东南部和中部,构造反转与油气成藏关系密切.盆地中央的反转强度比侧翼大,东南方向反转强度增加.马来盆地大致划分为4个成藏组合带：基底成藏组合带、下部成藏组合带、中部成藏组合带和上部成藏组合带.晚渐新世-中中新世构造成藏组合带为马来盆地内最重要的一个成藏组合带,其石油储量占整个盆地的85%,天然气占48%.盆地烃源岩经历多期生烃和混合生烃的过程,在盆地南部烃源岩生烃受到抑制.油气运移以横向运移为主,垂向运移为辅.油气藏分布主要受烃源岩成熟度和盆地形态的控制,呈现东南部和中部为油藏、北部为气藏的分布格局.将马来盆地划分为6个大勘探区域,其中东南挤压背斜区是马来盆地主力油气产区,石油储量占整个马来盆地的69%,天然气储量占62%.提出9个潜在有利目标区,其中3个为潜在勘探有利区,6个为新兴勘探区.  相似文献   

煤层定向水平分支井预测方法研究     

张传凤 《中国煤炭地质》2019,(3):26-31

借鉴石油系统地质导向工作方法,提出煤层中水平段钻进确定煤层倾角的三维空间计算方法,以及如何指导进入着陆点后调整孔斜角的原则。根据不同地层产状下钻头钻进和钻出煤层的姿态,总结出在钻进过程中因煤层产状变化引起的8种不同脱靶(入靶)模式,并推导出三维空间内8种模式下真实煤层视倾角的计算方法。采用半定量的方法给出脱靶后调整钻孔轨迹的方法以及孔斜调整区间。通过钻探实例验证该预测算法能够指导减少脱靶,提高煤层钻遇率和钻井效率。  相似文献   

太原ML5.0级地震前后的重力场变化   总被引：4，自引：2，他引：2  

秦建增  李清林  冯建林  张晓普  张瑞敏  黄邦武  张建志 《华北地震科学》2004,22(2):40-44

讨论了2002年9月3日太原ML5.0级地震前后重力场的变化.震前2001年12月～2002年6月重力场表现为上升-下降-上升及平静-活动-平静的活动方式.部分测点点值、测段段差值的趋势性异常在持续相当长时间后,于2002年3月发生转折,6月表现为变化加速,点值和段差值的变化幅值在(30～60)×10-8m·s-2之间,地震发生在加速变化过程中.震后该区的重力异常逐渐恢复.重力变化可能是由该区地壳形变、地壳深部质量迁移和断层蠕动共同作用引起的.  相似文献   

基于CSA-PLS算法的养殖水体水质快速高光谱预测反演模型研究     

马启良  刘梅  祁亨年  杨小明  原居林 《海洋与湖沼》2024,55(2):375-385

养殖水体水质的优劣直接影响养殖对象的成长,准确、快速、全面地掌控养殖水环境的水质参数变化情况具有重要意义。传统的水质指标监测方法都通过人工采样的方式,不仅耗费时间长,且只能体现局部水体情况。针对这些问题,提出了一种乌鸦搜索算法(CSA)结合偏最小二乘回归(PLSR)的高光谱特征波段筛选方法,快速构建回归模型,实现光谱数据的精准预测反演。以连片的养殖小区为研究对象,采集养殖水体样本并拍摄同时期的高光谱影像数据。首先对提取的采样点光谱数据利用多种数据变换方法分别预处理;其次利用这些数据,对水质指标总氮(TN)、氨氮(NH₄⁺-N)、总磷(TP)和化学需氧量(COD)分别构建全波段的SVR和AdaBoost回归模型,同时与提出的CSA-PLS自动筛选波段方法和传统的连续投影算法(SPA)筛选波段后构建的模型进行比较分析;最后根据决定系数(R²)和均方根误差(REMS)选出适合各水质指标的最优模型。从实验结果可以看出,所提波段筛选方法的AdaBoost模型预测结果优于SVR和传统SPA方法提取特征波段后构建的模型,与全波段最优模...  相似文献   

我国短期气候动力预测模式系统的研究及试验   总被引：38，自引：5，他引：33  

丁一汇  刘一鸣  宋永加  李清泉 《气候与环境研究》2002,7(2):236-246

气候和气候异常对我国的国民经济发展具有重大影响,为提高短期气候预测的准确率,研究动力气候模式短期气候预测新技术至关重要.通过近5年的努力,建立了一套出月动力延伸预报模式,海气耦合的全球气候模式(AGCM+OGCM+海冰+高分辨率印度洋-太平洋海盆模式),区域气候模式季和年际尺度的业务动力模式组成的系统.初步把我国的短期气候预测水平由经验统计方法提高到定量和客观分析的水平上.在此基础上,已建成了一个具有物理基础的统计方法与气候动力模式相结合的综合气候预报系统.  相似文献   

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

Bao Wang  Shichao Liu  Bin Wang  Wenzhou Wu  Jiechen Wang  Dingtao Shen 《海洋学报(英文版)》2021,40(11):104-118

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.  相似文献   

Mechanical properties of calcareous silts in a hydraulic fill island-reef     

Xing Wang  Jie Cui  Changqi Zhu  Xinzhi Wang 《Marine Georesources & Geotechnology》2021,39(1):1-14

Abstract

The mechanical characteristics of calcareous silt interlayers play an important role in the stability of island-reef foundations. Direct shear and consolidation tests were performed to study the relationship between the mechanical properties and the physical parameters of calcareous silt. Based on the consolidation test results and analysis of the settling examples, different calculation methods for soil settling were compared. The results show the following. (1) The relationship between the cohesion and water content of calcareous silt can be represented by an M-shaped curve. The water contents corresponding to the two peaks of the M-type curve increase with increasing dry density. (2) When the dry density is less than 1.33?g/cm³, increasing the density significantly improves the internal friction angle of calcareous silts. When the dry density of the calcareous silt is greater than 1.33?g/cm³, the internal friction angle is affected by both the dry density and the water content. (3) The shear strength decreases when the water content exceeds the optimum level. (4) The compressive modulus of calcareous silt is larger than that of terrigenous silt. Specifically, it decreases with decreasing dry density and increasing water content. (5) The stepwise loading method should be used to estimate the soil settling before fill engineering construction.  相似文献   

Estimation and prediction of plastic waste annual input into the sea from China   总被引：5，自引：0，他引：5  

BAI Mengyu  ZHU Lixin  AN Lihui  PENG Guyu  LI Daoji 《海洋学报(英文版)》2018,37(11):26-39

Marine plastic debris has been a pervasive issue since the last century, and research on its sources and fates plays a vital role in the establishment of mitigation measures. However, data on the quantity of plastic waste that enters the sea on a certain timescale remain largely unavailable in China. Here, we established a model using material flow analysis method based on life cycle assessment to follow plastic product from primary plastic to plastic waste with statistical data and monitoring data from accurate sources. This model can be used to estimate and forecast the annual input of plastic waste into the sea from China until 2020. In 2011, 0.547 3–0.751 5 million tons of plastic waste entered the seas in China, with a growth rate of 4.55% per year until 2017. And the amount will decrease to0.257 1 to 0.353 1 million tons in 2020 under the influence of governmental management. The amount of plastic waste discharged from coastal areas calculated in this study was much larger than that from river, thus it is suggested to strengthen the governance and control of plastic waste in coastal fishery activities in China in order to reduce the amount of marine plastic waste input.  相似文献