Evidence for textural and alteration changes in basaltic lava flows using variations in rock magnetic properties (ODP Leg 183)

The different effects of cooling and alteration on magnetic properties, in single thick flows from subaerial and submarine eruptions, cored and logged during Ocean Drilling Program (ODP) Leg 183 at Sites 1137 and 1140 (Kerguelen Plateau) are examined. Downhole logging data from both sites is supplemented by petrology and geochemistry of 32 samples from three subaerial lava flows at Site 1137 and two flows units at Site 1140, covering transects from fresh to highly altered basalts.Changes in magnetic properties have previously been observed in several ODP drill holes, which penetrate basaltic basement. In subaerial basalts, a typical trend is that of high magnetic susceptibility and natural remanent magnetization (NRM) values in the altered flow top, and lower values in the less-altered massive flow interior. In contrast, submarine lava flows display the opposite behavior in their magnetic properties. Altered pillow rims have lower susceptibility and NRM values than the fresh pillow interiors. It is concluded that rate of cooling and degree of alteration are the main factors influencing the magnetization and, hence, the distribution of iron oxides. The effects of low-temperature alteration are most noticeable in the distribution of more mobile elements, such as K. Consequently, the spectral gamma ray (SGR) log, which in basaltic basement is largely controlled by K concentration, is an excellent proxy to the downhole identification of alteration. The strong positive correlation observed for the subaerial basalts between the downhole total magnetic field (F_tot) and SGR, suggest a potential link with alteration in the drilled sections. The alteration of the submarine basalts is not as pronounced and therefore no correlation is evident.     

核磁共振测井在低孔低渗油气层识别中的应用

核磁共振测井具有常规测井无法比拟的优势，它可直观准确地提供储集层的孔隙度、渗透率，区分可动流体和束缚流体．根据差谱分析可以定性的识别油水层．通过求解地层的束缚流体饱和度，结合电阻率测井，采用阿尔奇饱和度解释模型，进行了油(气)层的识别和含油(气)饱和度的计算，从而拓宽了核磁共振测井资料的应用范围，为低孔低渗油(气)层的评价提供了一种新的途径．     

遗传BP算法在洛带气田测井物性解释中的应用

应用遗传算法(GA)对BP网络进行了改进，并在此基础上，利用多种测井数据及岩心描述资料作为网络模型的学习样本，以测井解释渗透率等参数的神经网络模型为例，通过网络的学习、训练，建立了神经网络模型．应用此模型计算物性参数值，解释结果及精度均令人满意．     

下古生界海相页岩TOC测井预测模型优选及应用——以川南长宁地区为例

有机碳含量(TOC)是页岩气资源评价与预测选区的关键指标之一,测井预测是实现单井TOC连续识别的重要手段,本次研究拟揭示各类预测方法在下古生界海相页岩中的预测效果。本次以川南长宁地区龙一段黑色页岩为对象,尝试采用多类预测方法(ΔLogR法及其改进方法、多元线性回归法与神经网络法)与不同的研究尺度(全段或分层)建立TOC测井预测模型,并对不同方法的预测效果进行深入探讨。研究表明,各方法预测效果差异较大,适用性各不相同。整体而言,多元线性回归法与BP神经网络法在研究区的预测效果均优于ΔLogR法及其改进方法。笔者等研究提出多元线性回归法对研究区TOC高值段的预测效果更佳,而神经网络法对TOC低值段的预测精度更高。本次研究根据龙一段各亚段有机质分布特征与测井响应特征的差异,提出通过“精细分层与最优方法匹配”的方式,因地制宜地选择相应的方法进行TOC测井预测。针对龙一₁^a-c与龙一₁^d-龙一₂,分别采用多元线性回归法与BP神经网络法进行分层精细建模,并获得了最佳的预测效果,不仅预测精度...     

Most frequent value‐based factor analysis of direct‐push logging data

An improved, iteratively re‐weighted factor analysis procedure is presented to interpret engineering geophysical sounding logs in shallow unsaturated sediments. We simultaneously process cone resistance, electric resistivity, and nuclear data acquired by direct‐push tools to give robust estimates of factor variables and water content in unconsolidated heterogeneous formations. The statistical procedure is based on the iterative re‐weighting of the deviations between the measured and calculated data using the most frequent value method famous for its robustness and high statistical efficiency. The iterative approach improves the result of factor analysis for not normally distributed data and extremely noisy measurements. By detecting a strong regression relation between one of the extracted factors and the fractional volume of water, we establish an independent method for water content estimation along the penetration hole. We verify the estimated values of water volume by using a highly over‐determined, quality‐checked interval inversion procedure. The multidimensional extension of the statistical method allows the estimation of water content distribution along both the vertical and the horizontal coordinates. Numerical tests using engineering geophysical sounding data measured in a Hungarian loessy–sandy formation demonstrate the feasibility of the most frequent value‐based factor analysis, which can be efficiently used for a more reliable hydrogeophysical characterisation of the unsaturated zone.     

基于脱钩指数和LMDI的青海省绿色低碳发展策略研究

推动青海省绿色低碳转型发展,既是推进黄河流域生态保护和高质量发展的迫切需要,也有助于缓解我国应对气候变化和碳减排工作压力。采用Tapio脱钩指数和对数平均迪氏指数(LMDI)分解法,在分析能源消费及碳排放变化与经济总量增长脱钩关系的基础上,对影响能源消费及碳排放的因素进行了分解研究,提出了推动青海省绿色低碳发展转型的着力点。主要结论：能源消费及碳排放与经济总量增长实现脱钩,且“十三五”时期“喇叭口”现象日益明显;人口和经济增长是能源消费和碳排放增长的主要驱动力;能源强度下降总体上减缓了能源消费和碳排放的增长,与第二产业能源消费强度变化密切相关;能源结构调整有效抑制了碳排放增长,且抑制作用不断增强;产业结构调整缓解能源消费需求的作用全面显现,但还需进一步调整第二产业结构。建议：提高有色金属冶炼、化工以及非金属矿物制品业等传统工业用煤效率和燃煤发电效率;减少对有色金属冶炼、化工等传统工业的过度依赖;推动风、光、水、火、储多能集约高效利用。     

松南长岭断陷火山岩亚相约束下的气层测井识别评价

松辽盆地长岭断陷营城组火山岩包括4相12亚相;优质储层主要见于爆发相热碎屑流、喷溢相上部和下部、火山通道的火山颈等4亚相.火山岩气藏普遍含CO2,部分为纯CO2气藏.基于26口重点探井的自然伽马、电阻率、声波时差和中子等测井参数分析,建立了岩相亚相-测井识别模式;进而在亚相约束下,用声波-中子-密度三种孔隙度叠置图进行...     

俯冲带地震动预测模型SMA2020的评估检验实例——2021年2月13日日本福岛县东部海域MW7.1地震

地震动预测具有较大不确定性,利用强震动观测记录对已有地震动预测模型进行检验评估对于模型的合理使用具有重要参考意义。针对2021年2月13日发生在日本福岛县东部海域的M_W7.1地震,基于残差分析和对数似然函数法对俯冲带地震动预测模型SMA2020的路径项和场地项表征合理性、模型的预测精确性进行了评估。得到结果:（1） SMA2020模型对于地震动的路径衰减表征较为合理,在路径项中考虑了莫霍面反射效应,可以更真实地表征俯冲带深源地震的路径效应。（2） SMA2020模型对于PGV的场地效应表征较为合理,但对于PGA及PSA的场地效应表征有所偏差,还需要进一步检验验证。（3） SMA2020模型对于此次板内地震的短周期IM预测精确性要优于中长周期,对于T=1s的PSA预测表现最不佳。研究结果可为模型的潜在使用者提供有价值的辅助信息,也可以为我国地震动预测模型的开发研究提供理论参考。     

卫星气象数据业务系统上行信息传输数据流程

介绍了卫星气象数据业务系统中上行气象信息的具体数据流程及有关上行传输设置。     

利用积分方程法计算双侧向测井仪的井眼校正曲线

对电测井积分方程中的各积分项进行了理论推导，利用任意闭合曲面对曲面外一点所张立体角为零的特点将电势积分项由对柱体侧面的积分转化为对柱体底面的积分，从而使在纵向采用线性插值条件下给出了电势积分项的解析解．对电流积分项进行了化简，使之由曲面积分化为一维数值积分．利用所得结果计算了双侧向测井仪的井眼校正曲线．