岩溶塌陷灾害的岩溶地下水气压力监测技术及应用   总被引：3，自引：3，他引：0  

蒋小珍  雷明堂 《中国岩溶》2018,37(5):786-791

文章系统、全面地介绍了岩溶地下水气压力监测技术及其应用成果。该技术在监测成孔、孔口的密封及监测频率等方面创新性地提出了相关的工艺方法,能真实、及时且充分地反映出岩溶管道裂隙系统中的地下水气压力变化特点,可为岩溶塌陷的机理研究、监测和预警提供科学依据。岩溶地下水气压力监测技术工艺简单、操作方便、成本低廉,经过20多年的改进,已成功应用于全国11个典型岩溶塌陷区,服务于高铁、水源地、油气管线、市政建设等潜在岩溶塌陷风险性评价、安全降深、监测预警等方面,取得了很好的效果。   相似文献   

Progress in the Application of Ground Gravity Observation Data in Earthquake Prediction     

Jinglun Mao  Yiqing Zhu 《地球科学进展》2018,33(3):236-247

The mechanism of earthquake inoculation and the process of earthquake occurrence are very complicated. Additionally, earthquakes do not happen very often, and we lack enough cognition to the earth’s interior structure, activity regularity and other key elements. As a result, research progress about the theory of earthquake precursors has been greatly restricted. Ground gravity observation has become one of the main ways to study earthquake precursor information in many countries and regions. This paper briefly summarized the surface gravity observation technology and observation network in China: the surface gravity measurement instrument developed from Huygens physical pendulum in seventeenth Century to today’s high-precision absolute gravimeter, and its accuracy reached to ±1×10^-8 m/s². China has successively established the National Gravity Network, Digital Earthquake Observation Network of China,the Crustal Movement Observation Network of China Ⅰ and the Crustal Movement Observation Network of China, to provide a public platform for monitoring non tidal gravity change, seismic gravity and tectonic movement. The use of specific examples illustrated the role of gravity observation data in earthquake prediction. The gravity observation data of ground gravity can be used to capture the information of gravity change in the process of strong earthquake inoculation, and to provide an important basis for the long-term prediction of strong earthquakes. The temporal and spatial variation characteristics of the regional gravity field and its relation to strong earthquakes were analyzed: Before the earthquake whose magnitude is higher than M_S 5, generally there will be a large amplitude and range of gravity anomaly zones. Strong earthquakes occur mainly in areas where the gravity field changes violently. The dynamic change images of gravity field can clearly reflect the precursory information of large earthquakes during the inoculation and occurrence. Finally, the existing problems of surface gravity technology in earthquake precursor observation were put forward and the use of gravity measurement data in earthquake prediction research was prospected.  相似文献   

地震叠前反演方法预测页岩脆性指数在南川地区的应用     

单中强 《江苏地质》2018,42(2):291-297

页岩气的有效开发依赖水平井的压裂效果,而页岩脆性是影响页岩压裂的关键因素。通过对比分析现有的3种脆性指数计算方法,即矿物脆性指数计算法、岩石力学脆性指数计算法、基于多元回归脆性指数计算法,优选基于多元回归的脆性指数计算法计算五峰—龙马溪组(简称龙马溪组)页岩储层脆性指数。以四川盆地东部南川地区龙马溪组海相页岩气为例,利用南川地区三维地震资料叠前反演方法,获取多元回归脆性指数计算方程所需的参数,预测页岩脆性指数。结果表明,在已有钻井矿物脆性指标约束下,叠前反演法计算的脆性指数平面预测效果较好,且与实际压裂数据具有较好的一致性,能够满足南川地区页岩气勘探开发的需要。  相似文献   

基于人工鱼群算法和SCA等效理论的井中横波速度预测方法     

魏忠宇  刘财  郭智奇  张冰  刘喜武 《世界地质》2018,37(1):282-288

在建立页岩岩石物理模型的基础上,根据等效自相容近似(SCA)岩石物理模型,构建出岩石的纵波速度、横波速度与岩石密度、组分和孔隙度等的定量关系,得出使理论纵波速度和实际纵波速度最接近的孔隙纵横比,进而将该孔隙纵横比作为约束条件来实现横波速度预测。反演算法利用人工鱼群算法来计算最佳孔隙纵横比,并将预测的横波速度与实际测得的横波速度对比,证明了人工鱼群算法的有效性。  相似文献   

基于CART算法的三维成矿预测研究——以安徽白象山矿区为例          下载免费PDF全文

李志辉  赵萍  李晓晖  袁峰  周宇章 《地质科学》2018,(4):1314-1326

把地质大数据和人工智能技术引入矿产资源定量评价及成矿预测体系中,提高了海量地质数据的有效信息挖掘,弥补了传统方法的不足。本文基于白象山矿区基础地质资料和物化探成果资料,利用三维地质体建模技术和三维空间分析技术,量化三维控矿因素,建立了一种基于CART 算法的三维成矿预测模型。通过在白象山矿区的实验表明：该模型能较好的定位已知矿体,并且预测出在已知矿体北部、东部、东北部、西部、南部和东南部具有较高的成矿概率,可圈定找矿靶区。该模型将地质大数据应用于找矿勘探工作,具有纯数据驱动、预测精度高、预测结果可靠等优点。研究发现,该模型的预测效果与训练数据集的数量、矿控因素提取、决策树深度等有关。  相似文献   

大数据环境下内蒙古浩布高地区铅锌多金属矿智能矿产预测研究          下载免费PDF全文

季 斌周涛发  张达玉李晓晖 袁 峰 《地质科学》2018,(4):1347-1360

传统机器学习算法已广泛应用于矿产预测,但面对地质大数据的高维稀疏、不平衡小样本等特性仍缺乏有效处理和分析的方法,设计适合地质大数据特点的机器学习算法是智能矿产预测亟需解决的新问题。本文以内蒙古浩布高地区的铅锌多金属矿产预测为例,提出了一种面向地质大数据的半监督协同训练矿产预测模型。首先对研究区地质找矿信息和地球化学异常信息进行定量分析,提取断裂构造、二叠系地层、燕山期侵入岩、地层与岩体接触带、围岩蚀变及Pb、Zn、Sn、Cu地球化学异常共9种找矿因子。然后利用递归特征消除法优选找矿因子组合,不包括Sn异常在内的8个找矿因子组合被选为最优组合。最后,利用支持向量机和随机森林算法作为基分类器进行半监督协同训练矿产预测,绘制成矿概率分布图。ROC曲线和预测度曲线分析结果表明,半监督协同训练模型的AUC值和预测效率都高于随机森林和支持向量机模型。研究结果也为大数据环境下的智能矿产预测提供了一种新的思路。  相似文献   

Foundations of petroleum prediction based on the activation of geochemical processes by direct current     

V.Yu. Shigaev 《Russian Geology and Geophysics》2018,59(11):1508-1513

Petroleum prediction in local objects and the applicability of geologic environment parameters in this regard are considered. The proposed guidelines for petroleum potential prediction are based on the analysis of the distribution of typomorphic epigenetic multivalent elements loosely fixed in rocks before and after electric current treatment. The advantage of geoelectrochemical methods providing data on the chemical composition of above-productive deposits is demonstrated.  相似文献   

Development of medium-term prediction methods: A case study of the August 14, 2016 Onor (M_w = 5.8) earthquake on Sakhalin     

A.S. Zakupin  Yu.N. Levin  N.V. Boginskaya  O.A. Zherdeva 《Russian Geology and Geophysics》2018,59(11):1526-1532

The potential of the load-unload response ratio (LURR) method for medium-term earthquake prediction is studied for Sakhalin Island as an example. An approach to the generation of predicted conditions and assessment of their implementation in real time is considered. The results of a retrospective analysis of other large Sakhalin earthquakes are used for generalization. It is shown that deviations of prediction parameters from specified values are satisfactory for this method. It is recommended that this method be used to compile summaries of medium-term predictions for Sakhalin provided that catalogs are filled as soon as possible.  相似文献   

Porphyry Copper Deposit Prognosis in the Middle Region of the Bangonghu–Nujiang Metallogenic Belt,Tibet, Using ASTER Remote Sensing Data     

《Resource Geology》2018,68(1):65-82

The B angonghu–N ujiang metallogenic belt is considered to be T ibet’s third copper belt after the Y ulong and G angdese copper belts. The D uolong gold‐rich porphyry copper deposit, located in the western part of the B angonghu–N ujiang belt was recently recognized as a superlarge prospect. The A dvanced S paceborne T hermal E mission and R eflection R adiometer (ASTER ) was used to characterize the D uolong porphyry deposit alteration area, and three methods, color enhancement, band ratio transformation, and spectral angle mapping, were utilized to extract the phyllic and argillic alteration zones, which are typically considered the most important predictors of porphyry copper. Seven prospecting areas, which match mapped alteration zones, were delineated in the D uolong deposit. In addition, an ASTER image of the eastern region of the B angonghu–N ujiang belt in the X iongmei area was used to extract alteration information, and an area with image characteristics similar to the D uobuza and B olong ore deposits was identified as a prospecting area. Numerous malachite outcrops were identified in the field, and both laboratory analysis and isotopic dating confirmed that the deposit had formed concurrently with the D uobuza deposit (119 M a). Geologic mapping at the 1:5000 scale was conducted in the area, and three types of ore‐bearing rocks were identified, indicating that this area has significant potential to host ore deposits. The discovery of the X iongmei copper mining area is significant for the B angonghu–N ujiang belt.  相似文献   

基于自适应时序剖分与KNN的短时交通流量预测     

祁朵  毛政元 《地球信息科学学报》2022,24(2):339-351

在智能交通系统中,准确和高效的短时交通流量预测是交通诱导、管理和控制的前提。由于交通流量动态变化中表现出的时变性和非平稳性特征,其预测难度较大,是交通领域中亟待解决的难题。为提高短时交通流量的预测精度,本文设计与实现了基于自适应时序剖分与KNN（A-TS-KNN）的短时交通流量预测算法。① 基于动态时间规整（Dynamic Time Warping,DTW）动态剖分单日时序为不同的交通模式;② 在不同交通模式,采用互信息法求解每个预测时刻时间延迟的最大阈值,构造不同时间延迟的状态向量,生成交通流量历史数据库;③ 采用十次十折交叉验证的方法求解每个时刻不同时间延迟与不同K值的正交误差结果分布,提取误差最小的正交结果,得到自适应时间延迟与K值的参数组合;④ 采用K个最相似的近邻的距离倒数加权值作为预测结果。对比K近邻（K-nearest neighbors, KNN）、支持向量回归（Support vector regression,SVR）、长短期记忆神经网络（Long-short term memory neural network,LSTM）以及门控递归单元神经网络（Gate recurrent unit neural network,GRU）共4种主流预测模型,A-TS-KNN算法预测精度显著提升;将A-TS-KNN算法用于福州市城市路网中其他交叉路口的短时交通流量预测,结果表现出良好的泛化能力。  相似文献