共查询到18条相似文献，搜索用时 78 毫秒
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废弃产量和废弃压力是标定凝析气藏可采储量的重要参数。在一年一度可采储量标定工作中发现,目前所提及的废弃条件的确定方法对于带水凝析气藏而言或说法不确切,或计算方法不适应,或精度不高。根据多年可采储量标定的经验,针对东海带水凝析气藏实际情况,提出一套适应于东海地区带水凝析气藏废弃产量和废弃压力的确定方法,且以东海XX气藏YY井为例,结合油藏工程、采油工艺等专业,介绍计算方法具体运用,对于具有同样地质特征气藏具有一定的借鉴意义。 相似文献
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基于严密波束归位模型的多波束测深点不确定度改进方法 总被引：1，自引：0，他引：1
利用不确定度可有效对多波束测深成果质量进行评估,针对现有不确定度计算模型因近似或简化导致一定误差的问题,本文提出一种基于严密波束归位模型的多波束测深点不确定度改进方法。首先分析了多波束测深过程中的各项误差源,基于误差传播定律与严密波束归位模型,详细推导了各误差源在波束归位各阶段的误差传播情况,最终得出了多波束测深成果不确定度的计算模型。文中利用实测数据计算了每个测深点的不确定度,绘制了单Ping扇面及条带的不确定度分布图,有利于直观、全面地了解所有测深点的误差变化趋势;计算结果与常用HGM不确定度模型进行了对比,表明本文方法更具合理性,对多波束测深成果的质量评估具有一定的参考价值。 相似文献
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为科学评价测量结果的可靠性，对海水中137Cs γ能谱分析方法的不确定度进行了评估。根据《化学分析中不确定度的评估指南》，分析不确定度的来源并逐一对各不确定度分量进行了量化，最终计算了合成相对标准不确定度。结果表明，影响海水中137Cs γ能谱测量不确定度的因素分别为样品源137Cs峰区计数、标准源活度、取样体积、化学回收率、本底137Cs峰区计数及标准源137Cs峰区计数，其中样品源137Cs峰区计数的不确定度贡献最为突出。对于137Cs活度浓度为1.28 mBq/L的海水样品，其合成相对标准不确定度为9.78%。 相似文献
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声学多普勒计程仪的安装偏角误差和比例因子误差是影响水下自主导航精度的主要误差源,需要进行精确误差标定。然而任何声呐性能均与海洋环境密切相关,如何实现复杂环境精确标定是计程仪工程应用中面临的实际问题。为此,在分析真实测速数据统计分布基础上,提出了一种基于修正 Kalman 滤波预处理的误差校准方法,并与标准 Kalman 滤波预处理方法的校准性能进行了比对;试验结果验证了新方法的有效性,降低了对标定试验场地的要求,大幅提高了校准效率。 相似文献
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利用Minolta CM-2002光谱光度计对南黄海陆架136个短柱样品20~25cm段的沉积物进行了颜色反射率数据测量,通过化学元素、粒度、磁化率等来确定影响沉积物颜色反射率变化的成分和因素,介绍了反射率光谱的一阶导数和因子分析的方法。分析结果表明,南黄海陆架沉积物颜色反射率受控于沉积物中的铁氧化物、有机质以及粘土矿物和钙质生物碎屑含量。主因子F1指示氧化环境,并与陆源物质相关,F2指示弱氧化环境,F3指示弱还原环境,主因子的波长范围分别是405~445 nm和495~595 nm,605~695 nm,445~485 nm。 相似文献
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对所获取的2008年冬季的辽东湾西岸海域含有海冰的Hyperion高光谱图像进行了大气校正,得到了反射率图像。用ISODATA(Iterative Self-Organizing Data Analysis Technique)聚类分析方法对反射率图像进行计算机自动分类,并结合实测的同时期的海冰反射率光谱确定了不同海冰类型的分布范围。根据不同类型海冰的厚度特征,得到了海冰厚度分级分布图和海冰厚度图。结果表明,Hyperion图像可以区分光谱有区别的冰型,无法区分浮冰和固定冰,可以更清晰地显示出海冰的光谱反射率,与实测光谱曲线更加相似,优于MODIS多光谱图像。同时,用主成分分析方法对海冰Hyperion图像进行了分析。海冰Hyperion图像中,各个波段之间的相关系数都较大,光谱维信息冗余度较大,其中30波段贡献率最高。 相似文献
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《Oceanic Engineering, IEEE Journal of》2006,31(2):413-420
The robustness of the coherence of waveguide propagation to environmental uncertainty becomes an important consideration for systems that seek to exploit coherence for gain. Examples include matched field processing for passive localization and time reversal mirrors (TRMs) for active systems. Here, efficient normal mode representations of midfrequency time-domain propagation using the narrowband and adiabatic approximations are used to explore the deterioration of coherent active system predictability and performance in the presence sound-speed perturbations in the water column. Results show that for TRMs the reverberation level at the focal range is increased, and the scattering from an illuminated object is reduced for ensembles over oceanographic uncertainty. Results are obtained analytically as formal averages and are believed to represent a lower limit on the deterioration of TRM performance in the presence of environmental uncertainty for shallow-water waveguides. 相似文献
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《Oceanic Engineering, IEEE Journal of》2006,31(2):345-355
Predicting sonar detection performance is important for the development of sonar systems. The classical sonar equation cannot accurately predict sonar detection performance because it does not incorporate the effect of ocean environmental and source position uncertainty. We propose an analytical receiver operating characteristic (ROC) expression that characterizes the performance of the optimal Bayesian detector in the presence of ocean environmental and source position uncertainty. The approach is based on a statistical model of the environment and a physical model of acoustic propagation, which translates ocean environmental and source position uncertainty to signal wavefront uncertainty. The analytical ROC expression developed in this paper is verified for source position uncertainty due to source motion using both simulated data and real data collected during the Shallow Water Evaluation Cell Experiment (SWellEx-96). The results showed that the primary effect of source position uncertainty on optimal sonar detection performance is captured by the rank that corresponds to the significant eigenvalues of the signal matrix, an ensemble of replica signal wavefronts (normalized acoustic pressure vector) at the receiving array. The results also showed that the proposed ROC expression provides a realistic detection performance prediction for the Bayesian detector for source position uncertainty using real data. The proposed approach to sonar detection performance prediction is much simpler and faster than those using conventional Monte Carlo approaches. 相似文献
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文中分析了实验室盐度计校准不确定度来源项,按不确定度的评定方法,以实例形式分析评定了校准结果的不确定度。 相似文献
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文章分析了CTD温度实验室校准不确定度来源项,按不确定度的评定方法,以实例形式分析评定了CTD温度实验室校准结果的不确定度。 相似文献
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The primary objective of this study is to introduce a stochastic framework based on generalized polynomial chaos (gPC) for uncertainty quantification in numerical ocean wave simulations. The techniques we present can be easily extended to other numerical ocean simulation applications. We perform stochastic simulations using a relatively new numerical method to simulate the HISWA (Hindcasting Shallow Water Waves) laboratory experiment for directional near-shore wave propagation and induced currents in a shallow-water wave basin. We solve the phased-averaged equation with hybrid discretization based on discontinuous Galerkin projections, spectral elements, and Fourier expansions. We first validate the deterministic solver by comparing our simulation results against the HISWA experimental data as well as against the numerical model SWAN (Simulating Waves Nearshore). We then perform sensitivity analysis to assess the effects of the parametrized source terms, current field, and boundary conditions. We employ an efficient sparse-grid stochastic collocation method that can treat many uncertain parameters simultaneously. We find that the depth-induced wave-breaking coefficient is the most important parameter compared to other tunable parameters in the source terms. The current field is modeled as random process with large variation but it does not seem to have a significant effect. Uncertainty in the source terms does not influence significantly the region before the submerged breaker whereas uncertainty in the incoming boundary conditions does. Considering simultaneously the uncertainties from the source terms and boundary conditions, we obtain numerical error bars that contain almost all experimental data, hence identifying the proper range of parameters in the action balance equation. 相似文献
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The problem of source localization in shallow water in the presence of sensor location uncertainty is considered. The Cramer-Rao Bound is used to carry out a feasibility study for the joint source and sensor location problem when the multipath propagation channel is modeled as a known, deterministic waveguide. Unlike the free-space propagation channel, the boundedness of the shallow-water waveguide along its vertical axis provides the key to joint determination of the source and sensor location parameters. It is seen that, when a set of intuitive identifiability conditions are satisfied, numerical examples indicate that, for the scenarios considered, the resulting loss in accuracy with which the source location can be estimated due to sensor location uncertainty may be tolerable 相似文献