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1.
以高性能机械式力平衡加速度计为主，24位数据采集、动态范围大于或等于90 dB的工业级MEMS烈度观测系统为辅，温州珊溪水库区域高密度烈度台网的建设完成使区域内强震动观测系统实现高密度、数字化、网络化覆盖，提高了该地区的地震烈度速报能力和地震观测动态范围。该台网充分利用MEMS烈度计成本低、易扩充、好管理、组网灵活方便的特点，其在浙江省地震监测中的首次成功应用将推动地震观测技术的发展。 相似文献
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采用人工方法对溪洛渡库首区流动台和距离地震震中最近的4~5个台站的原始数据进行重新分析，将获得的地震震源深度与台网目录的震源深度进行对比分析，发现二者存在明显偏差。流动台和距离震中最近的台站确定的震源深度能更合理地解释地震的成因及水库诱发地震的机理，可为其他水电工程研究水库诱发地震成因时运用地震观测数据确定较为可信的地震震源深度方法提供参考。 相似文献
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通过中伊双方合作交流，详细考察了伊朗的地震台网。伊朗现建有4类台网:地震遥测台网、国家地震台网、强震台网及水库诱发地震台网。这些台网中高性能宽频带地震仪数量不足，使得地震定位精度不高;且4类台网分属不同机构，在一定程度上限制了伊朗的地震监测能力。 相似文献
4.
对于震中偏离台网情况下的地震定位，常规方法定位效果较差。“翻台法”有效地提高了其定位精度。从均匀地壳模型的走时方程组出发，分析了“翻台法”定位中方程组系数的变化特点，推导了选取最佳翻转台站的方法，并得出如下结论：（１）“翻台法”增加了原定位方程组的约束方程，翻台数与已知条件和所求参数个数有关，从理论上讲，翻转台数超过独立的约束方程数时对增加定位精度不再有意义；（２）考虑到具体的台网布局和台站资料质量，翻转不同台站对提高地震定位精度所起的作用大小各不相同，因而存在选取最佳翻转台站问题。 相似文献
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以河南省北部地区地震波走时特征为研究对象,选取河南台网及邻省部分台站的地震观测资料,运用线性拟合的方法计算得出地壳速度模型。检验结果表明,利用该速度模型计算发震时刻、制作理论走时曲线的精度,比河南省台网使用的华南走时表速度模型有明显提高。 相似文献
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利用模板匹配方法对2016-01-21青海省门源县MS6.4地震进行遗漏地震检测以及补充单台震相到时研究。鉴于主震后短时间内目录遗漏较多，故对主震后3 h的连续波形进行检测。主震后3 h内青海测震台网记录到的余震事件共332个，其中单台57个。选取主震后ML2.0以上余震112个作为模板事件，通过匹配滤波的方式扫描出遗漏地震123个，约为台网目录的40%。利用波形互相关提取震相到时的方法对单台事件补充其他台站震相到时，对单台事件重定位，最后得出41个单台事件的震中位置。基于包络差峰值振幅与震级的线性关系估测了检测事件的震级参数，最后将检测后的余震目录与台网余震目录在主震后3 h内的最小完备震级进行了对比分析，结果发现，检测后最小完备震级从ML1.1降到了ML0.6，得到青海测震台网在门源地区最小完整性震级为ML0.6。 相似文献
8.
汶川地震后，有关中国地震预报体制的反思一直没有停止。近日，记者就这一话题分别采访了国家汶川地震专家委员会成员、中国工程院院士赵文津，中国地震学会地震观测技术专家委员会委员、河南省鹤壁市地震局前局长池顺良等。 相似文献
9.
形变台网数据中心数据库系统 总被引：1，自引：1，他引：0
介绍了形变台网数据中心数据库的系统功能，形变台站基础资料和基本信息库、观测值数据库、震例图形库等子库系统的结构设计以及目前的运行情况。 相似文献
10.
利用三峡遥测地震台网和流动加密台资料计算2017-06巴东M4.3地震序列震源深度并分析其深度误差。结果显示，序列震源深度主要分布在3~5 km；流动加密台观测明显改善了震源深度测定精度，其震源深度误差由平均1.8 km减少到1.1 km。研究认为，直达波法测定三峡遥测台网（特别是布置流动加密台后）网内地震可获得较高精度的震源深度。 相似文献
11.
对比向家坝库区蓄水前后地震活动特点，结合库尾段地震时序与库水位的变化关系及震中区地层岩性、构造特征等，认为发生在库尾段的地震属于构造型水库诱发地震。地震震中呈北西向密集条带状分布，虽然地表没有明显的控震构造，但不排除在2 km之下存在隐伏断层的可能。该区段位于马边-盐津断裂带的中段，水库蓄水前地震活动十分微弱，蓄水后发生不同于以往的地震活动。 相似文献
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丹江口水库二期蓄水后,根据2013～2015年地震台网监测成果分析,库区地震主要以微震、极微震为主,震中位置每年均呈团状或带状聚集在5个密集区,没有随库水位变化发生明显迁移现象。丹库区地震强度和频度高于汉库区,丹库区以水库地震居多,汉库区以水库地震及其他类型非构造地震居多。 相似文献
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储层油气产能的预测模型和方法 总被引：15，自引：4，他引：11
从达西渗流产量公式出发,通过以相对渗透率与含水饱和度的函数关系为纽带,导出油气储层产能与储层有效孔隙度、渗透率以及电阻率之间的理论模型.在此基础上,结合测井学的基本理论,探讨了利用测井资料进行储层产能预测的基本思想,采用人工神经网络技术建立了储层产能预测系统,该方法用于新疆克拉玛依油田八区克上组储层的油气产能预测,效果良好. 相似文献
14.
《世界地质(英文版)》2016,(1):6-12
Porosity is one of the most important properties of oil and gas reservoirs. The porosity data that come from well log are only available at well points. It is necessary to use other method to estimate reservoir porosity.Seismic data contain abundant lithological information. Because there are inherent correlations between reservoir property and seismic data,it is possible to estimate reservoir porosity by using seismic data and attributes.Probabilistic neural network is a powerful tool to extract mathematical relation between two data sets. It has been used to extract the mathematical relation between porosity and seismic attributes. Firstly,a seismic impedance volume is calculated by seismic inversion. Secondly,several appropriate seismic attributes are extracted by using multi-regression analysis. Then a probabilistic neural network model is trained to obtain a mathematical relation between porosity and seismic attributes. Finally,this trained probabilistic neural network model is implemented to calculate a porosity data volume. This methodology could be utilized to find advantageous areas at the early stage of exploration. It is also helpful for the establishment of a reservoir model at the stage of reservoir development. 相似文献
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长江三峡库区地震地形变监测研究 总被引：8，自引：4，他引：4
三峡地壳形变监测网络结合空间大地测量(GPS、InSAR)和传统大地测量的优点，在1998年以来的三峡工程建设期间和2003年水库首次蓄水中获取了大量监测成果。结果显示库区地壳运动的基本图像：垂直形变较为显著，主要来自因蓄水荷载而产生的形变，水平形变不明显．库区主要断层的活动性在蓄水期间有明显加强迹象。水准测量反映从1998年首期观测至2003年10月首次蓄水后的库区垂直位移．沉降范围较大；GPS给出了2003年蓄水前后库区的垂直位移，形变的范围主要集中在水库近岸区域。水准测量与GPS观测反应的垂直位移的量级基本一致，沉降的最大幅度在3～4cm左右。水准监测、GPS观测与重力监测结果有一定的对应性。从地壳形变监测与研究结果分析，近期负荷改变而诱发中强地震的可能性不大。 相似文献
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17.
Determination of water saturation is important for reservoir evaluation.When complex pore structures such as fracture and cavity are present in reservoir,Archie equation is no longer suitable.According to different models of pore structure division,the authors studied water saturation computation models.The results show that dual porosity system is divided into four models.The first model is based on dual laterolog,the second is Dual Porosity Ⅰ,the third is Dual Porosity Ⅱ,and the last one is based on the conductive pore.Besides,the triple porosity system is triple porosity model.Compute water saturation was using all the above five models in volcanic reservoir in Songnan gas field.The triple porosity system is the most suitable model for water saturation computation in complex pore structure volcanic reservoir. 相似文献
18.
YANG Haixia 《世界地质(英文版)》2002,5(2)
The identification and evaluation of oil reservoir with logging data are one of most important ways in geologic logging services. For the last decades, with the further development of the oil & gas exploration, great advances have been achieved in techniques on the acquisition, processing and interpretative evaluation of logging data. How to identify fluid characteristics and evaluate the productivity in light oil reservoir (the crude density being between 0.74g/cm3 and 0.82g/cm3)has become one of the difficulties.With the establishment of the regional interpretation criterion of the study blocks, the optimized logging parameters that reflect the reservoir characteristics have been used to establish the chart for the interpretation of oil-water reservoir combining with well logging parameters. Then, to begin with geologic reserves of crude in single well, we establish evaluation criterion for productivity in oil reservoir with determining lower limit value of the reservoir and applying the relationship between chart parameters. The techniques are verified in production and get better effect.On the basis of the reservoir characteristics analysis of both basin A and B, We established the evaluation method of static productivity on light oil reservoir with getting quantitative evaluation parameters after quantitatively evaluating the date of core, pyrolysis chromatogram and gas chromatogram. It provides new technique 7 for new well interpretation and old well review, as well as evidence for project.design of well testing. 相似文献
19.
Predicting the responses of an alluvial channel to changes in flow and sediment supply is essential for engineering design. Many methods have been developed in the last few decades to describe sectional bankfull characteristics (elevation and discharge); however, studies on long-term reach-scale bankfull discharge are still limited. In this study, a hydraulic model is built to calculate the reach-scale bankfull discharge, and the effects of reservoir building on downstream bankfull discharges are discussed. The studied river reach is located at the lower Wei River (WR), where the planned Dongzhuang Reservoir would be built on its largest tributary, the Jing River. A quasi-two-dimensional numerical model coupled with a bankfull discharge estimating method is put forward to calculate the reach-scale bankfull discharge. The soundness of the model is verified. Results show that the temporal variation of reach-scale bankfull discharge of the lower reach of the WR would be highly influenced by the planned reservoir, especially during the first 20 years of operation. The effect of the planned reservoir on bankfull discharge may reach its maximum when the total trapped sediment load reaches approximately 75% of the reservoir capacity. Our results show that after the first 17 years of operation, the effect of the planned reservoir on bankfull discharge of the river reach may decrease gradually. The soundness and predictive capability of the coupled model have also been calibrated by comparing with existing reservoirs. All analyses indicate that the numerical model can be used to predict the changed reach-scale bankfull discharge of the lower WR. 相似文献
20.
人工神经网络将储层地质模型进行学习和训练,自动建立各参数的内在联系,根据各参数的贡献大小,对储集层进行客观的评价。 相似文献