| 数学地球科学的新进展 |
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| 引用本文： | 堵海燕,申维.数学地球科学的新进展[J].地质学刊,2015,39(4):609-616. |
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| 作者姓名： | 堵海燕 申维 |
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| 作者单位： | 中国地质图书馆 |
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| 基金项目： | 国家自然科学基金项目(41172302) |
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| 摘 要： | 从下列研究方向探讨了数学地球科学的新进展，即数据分析与数据挖掘（多点地质统计学，数据同化方法，数据挖掘和展示，时间序列分析，基于不规则数据集方法，数值分析方法与新算法）、非线性科学（多重分形模型，自组织临界理论，混沌理论，系统固有的复杂性，非线性随机过程的动态建模）、遥感（差分干涉合成孔径雷达，最先进雷达遥感，新的星载和地基微波技术，与遥感相结合的地理信息系统环境建模）、建模（新的数学变形模型与方法，地下蓄水层的流动与运送的预测模型，新油气发现模型，石油采收数学模型，空间与时间建模）、资源环境定量评价（复杂储存环境的地震特性综合反演，油井与储藏动态数据的实时同化处理，不确定性评估储藏动态新方法，资源评价和风险分析的新模式，环境地球化学，定量环境地质学）等
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| 关 键 词： | 数学地球科学 非线性 遥感 定量评价 资源 |
| 收稿时间： | 2015/2/15 0:00:00 |
| 修稿时间： | 2015/6/11 0:00:00 |
New advances of mathematical geosciences |
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| DU Hai-yan.New advances of mathematical geosciences[J].Jiangsu Geology,2015,39(4):609-616. |
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| Authors: | DU Hai-yan |
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| Abstract: | This paper presents the new advances of mathematical geosciences from the aspects of data analysis and data mining (multi point geostatistics, data assimilation method, data mining and display, time series analysis, irregular data set-based method and numerical analysis and new algorithm), nonlinear science (multi-fractal model, self-organized criticality theory, chaos theory, inherent complexity of system, dynamic modeling of nonlinear stochastic processes), remote sensing (differential interferometric synthetic aperture radar, the most advanced radar remote sensing, new satellite and ground-based microwave technology, and GIS environment modeling combined with remote sensing), modeling (new mathematical deformation model and method, forecasting model of underground aquifer flow and transport, new oil and gas discovery model, oil recovery model, and spatial-temporal modeling), and quantitative assessment of resources and environment (integrated inversion of seismic characteristics of complex storage environment, real-time processing of oil well and reservoir dynamic data, new method for uncertainty evaluation of dynamic reservoirs, new model of resources evaluation and risk analysis, environmental geochemistry, and quantitative environmental geology). |
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| Keywords: | mathematical geosciences non-linear remote sensing quantitative evaluation resources |
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