页岩气基础地质调查皖南地1井钻探施工技术     

刘文武  赵志涛  翁炜  朱迪斯  单文军  贺云超 《探矿工程》2018,45(10):66-70

皖南地1井是部署在安徽省南陵县烟墩镇的一口页岩气基础地质调查井。文章详细介绍了该井的钻探施工工艺技术以及遇到复杂问题的处理方法,并对钻效进行了分析,提出了实现优质高效钻探的措施。项目的顺利实施,梳理了皖南地区地层层序,为页岩气储层理论推测提供了有力的实物数据支撑和验证。  相似文献   

河流景观生态学的发展与当前核心议题          下载免费PDF全文

薛兴华  钱华 《水科学进展》2018,29(6):887-897

河流景观生态学已成为河流科学研究与应用的新范式,但国内研究还颇为不足。从河流景观生态学发展的逻辑必然性、主要进程、基本内容与重要理论等方面进行了总结。结果显示,多尺度跨学科整体论河流认识要求和景观尺度上处理河流问题的实践需求共同推动河流景观生态学的迅速发展,其中心议题是河流物理景观系统与生物系统在不同等级尺度上的结构、格局与功能过程,尤其重视物理景观与不同等级生物系统的相互作用关系,对河流景观多尺度等级性、高动态性和有向性等突出性质的认识已取得重要理论发展。指出当前面临5个方面的核心议题亟需取得突破:改进和统一河流景观分类系统、河流景观跨尺度研究、河流景观方法对经典河流生态理论的再认识、河流景观机理与模拟、河流景观对气候变化与区域土地利用/覆被变化的响应研究。  相似文献   

Geometric-constrained multi-view image matching method based on semi-global optimization     

Wenhao Zhao  Li Yan 《地球空间信息科学学报》2018,21(2):115-126

Targeting at a reliable image matching of multiple remote sensing images for the generation of digital surface models, this paper presents a geometric-constrained multi-view image matching method, based on an energy minimization framework. By employing a geometrical constraint, the cost value of the energy function was calculated from multiple images, and the cost value was aggregated in an image space using a semi-global optimization approach. A homography transform parameter calculation method is proposed for fast calculation of projection pixel on each image when calculating cost values. It is based on the known interior orientation parameters, exterior orientation parameters, and a given elevation value. For an efficient and reliable processing of multiple remote sensing images, the proposed matching method was performed via a coarse-to-fine strategy through image pyramid. Three sets of airborne remote sensing images were used to evaluate the performance of the proposed method. Results reveal that the multi-view image matching can improve matching reliability. Moreover, the experimental results show that the proposed method performs better than traditional methods.  相似文献   

A geometric-based approach for road matching on multi-scale datasets using a genetic algorithm   总被引：1，自引：0，他引：1  

Alireza Chehreghan 《制图学和地理信息科学》2018,45(3):255-269

Object matching is used in various applications including conflation, data quality assessment, updating, and multi-scale analysis. The objective of matching is to identify objects referring to the same entity. This article aims to present an optimization-based linear object-matching approach in multi-scale, multi-source datasets. By taking into account geometric criteria, the proposed approach uses real coded genetic algorithm (RCGA) and sensitivity analysis to identify corresponding objects. Moreover, in this approach, any initial dependency on empirical parameters such as buffer distance, threshold of spatial similarity degree, and weights of criteria is eliminated and, instead, the optimal values for these parameters are calculated for each dataset. Volunteered geographical information (VGI) and authoritative data with different scales and sources were used to assess the efficiency of the proposed approach. According to the results, in addition to an efficient performance in various datasets, the proposed approach was able to appropriately identify the corresponding objects in these datasets by achieving higher F-Score.  相似文献   

基于优化经验模态分解和聚类分析的滑坡位移智能预测研究     

张凯  张科  保瑞  刘享华  齐飞飞 《岩土力学》2021,(1):211-223

针对三峡库区"阶跃式"滑坡的变形特征,提出了一种新的滑坡位移预测方法。以白水河滑坡ZG118和XD-01监测点位移数据为例,采用基于软筛分停止准则的经验模态分解(SSSC-EMD)将累计位移-时间曲线和影响因子时间序列自适应地分解为多个固有模态函数(IMF),并采用K均值(K-Means)聚类法对其进行聚类累加,得到有物理含义的位移分量(趋势性位移、周期性位移以及随机性位移)和影响因子分量(高频影响因子和低频影响因子)。使用最小二乘法对趋势性位移进行拟合预测;采用果蝇优化-最小二乘支持向量机(FOA-LSSVM)模型对周期性位移和随机性位移进行预测。将各位移分量预测值进行叠加处理,实现滑坡累计位移的预测。研究结果表明,所提出的(SSSC-EMD)-K-Means-(FOA-LSSVM)模型能够预测"阶跃式"滑坡的位移变化规律,且预测精度高于传统的支持向量机回归(SVR)、最小二乘支持向量机(LSSVM)模型;并通过改变训练集长度,进行单因素分析,发现其与预测精度之间呈正相关关系。  相似文献   

Selection of sand models and identification of parameters using an enhanced genetic algorithm          下载免费PDF全文

Yin‐Fu Jin  Zhen‐Yu Yin  Shui‐Long Shen  Pierre‐Yves Hicher 《国际地质力学数值与分析法杂志》2016,40(8):1219-1240

Numerous constitutive models of granular soils have been developed during the last few decades. As a consequence, how to select an appropriate model with the necessary features based on conventional tests and with an easy way of identifying parameters for geotechnical applications has become a major issue. This paper aims to discuss the selection of sand models and parameters identification by using genetic algorithm. A real‐coded genetic algorithm is enhanced for the optimization with high efficiency. Models with gradually varying features (elastic‐perfectly plastic modelling, nonlinear stress–strain hardening, critical state concept and two‐surface concept) are selected from numerous sand models as examples for optimization. Conventional triaxial tests on Hostun sand are selected as the objectives in the optimization. Four key points are then discussed in turn: (i) which features are necessary to be accounted for in constitutive modelling of sand; (ii) which type of tests (drained and/or undrained) should be selected for an optimal identification of parameters; (iii) what is the minimum number of tests that should be selected for parameter identification; and (iv) what is the suitable and least strain level of objective tests to obtain reliable and reasonable parameters. Finally, a useful guide, based on all comparisons, is provided at the end of the discussion. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   

Fuzzy Optimization Neural Network Approach for Ice Forecast in the Inner Mongolia Reach of the Yellow River/Approche d'Optimisation Floue de Réseau de Neurones pour la Prévision de la Glace Dans le Tronçon de Mongolie Intérieure du Fleuve Jaune     

《水文科学杂志》2013,58(2)

Abstract

In ice forecasting, a key problem is the forecast of freeze-up and break-up dates. Ice-water mechanics and the principle of heat-exchange were mainly adopted in previous research. However, the mathematical models in these studies are complex and many parameters are required in relation to upstream and/or downstream gauging stations. Moreover, too many assumptions or simplifications for these parameters and constraints directly lead to low accuracy of the models and limitations as to their practical applications. This paper develops a fuzzy optimization neural network approach for the forecast of freeze-up date and break-up date. The Inner Mongolia reach lies in the top north of the Yellow River, China. Almost every year ice floods occur because of its special geographical location, hydrometeorological conditions and river course characteristics. Therefore, it is of particular importance for ice flood prevention to forecast freeze-up date and break-up date accurately. A case study in this region shows that the proposed methodology may allow obtaining useful results.  相似文献   

基于梯度分析法的长江上游水库群供水-发电-环境互馈关系解析   总被引：1，自引：3，他引：1       下载免费PDF全文

何中政  周建中  贾本军  张勇传 《水科学进展》1990,31(4):601-610

长江上游水资源耦合系统优化调控涉及供水、发电和生态需水等相互竞争、不可公度的调控目标。其供水-发电-环境互馈协变机制难以数学解析和刻画，多维目标效益均衡优化调控难以实施。为此，以多目标优化、运筹学理论及方法为基础，提出了基于梯度分析法的供水-发电-环境两两互馈关系研究方法。通过多目标约束优化方法求解长江上游水库群联合优化调度在供水-发电-环境目标空间的最优解集，并进行插值构造了供水-发电-环境互馈关系多维空间曲面，以此为基础，采用一阶差分近似求解供水对环境和发电对环境偏导函数值，以量化环境对供水变化和发电变化响应的梯度，进而解析环境-供水和环境-发电间互馈协变关系。该方法为水库群优化调度多目标互馈关系研究提供了一种新的思路。  相似文献   

蔚县矿区岩溶水供排结合研究     

Chi Baomlng 《吉林大学学报(地球科学版)》1989,(1)

本文从系统观点出发,分析了矿区岩溶水供排结合的水文地质条件,提出了以供代排,合理的规划蔚县矿区地下水资源的供排结合方案。应用有限元数值模拟与最优化技术建立供排结合水量规划的教学模型,求出了蔚县矿区最佳水源地位置和最佳的供水开采量与疏干量,实现了较好的经济效益。  相似文献   

An application of Karmarkar's interior-point linear programming algorithm for multi-reservoir operations optimization     

K. Ponnambalam  A. Vannelli  T. E. Unny 《Stochastic Environmental Research and Risk Assessment (SERRA)》1989,3(1):17-29

Optimization of multi-reservoir systems operations is typically a very large scale optimization problem. The following are the three types of optimization problems solved using linear programming (LP): (i) deterministic optimization for multiple periods involving fine stage intervals, for example, from an hour to a week (ii) implicit stochastic optimization using multiple years of inflow data, and (iii) explicit stochastic optimization using probability distributions of inflow data. Until recently, the revised simplex method has been the most efficient solution method available for solving large scale LP problems. In this paper, we show that an implementation of the Karmarkar's interior-point LP algorithm with a newly developed stopping criterion solves optimization problems of large multi-reservoir operations more efficiently than the simplex method. For example, using a Micro VAX II minicomputer, a 40 year, monthly stage, two-reservoir system optimization problem is solved 7.8 times faster than the advanced simplex code in MINOS 5.0. The advantage of this method is expected to be greater as the size of the problem grows from two reservoirs to multiples of reservoirs. This paper presents the details of the implementation and testing and in addition, some other features of the Karmarkar's algorithm which makes it a valuable optimization tool are illuminated.  相似文献