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薄储层叠后反演影响因素分析与地震属性解释研究 被引量:37
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作者 凌云 ■晓宇 +2 位作者 孙德胜 林吉祥 高军 《石油物探》 EI CSCD 2008年第6期531-558,共28页
薄储层是岩性地震勘探的主要研究对象和难点之一,而地震反演被普遍认为是解决此类地震勘探问题的主要解释技术与方法。尽管现今的反演技术已经从叠后发展到叠前,从AVO反演发展为弹性反演,但反演技术仍面临着地震采集、处理和解释等方面... 薄储层是岩性地震勘探的主要研究对象和难点之一,而地震反演被普遍认为是解决此类地震勘探问题的主要解释技术与方法。尽管现今的反演技术已经从叠后发展到叠前,从AVO反演发展为弹性反演,但反演技术仍面临着地震采集、处理和解释等方面诸多因素的影响以及认识上和观念上存在的一些问题的影响,这些影响很多时候会导致反演的地质解释结果与钻井结果相差甚远。为此,在不考虑叠前地震影响因素,和在理想的成像条件下,基于薄储层褶积模型对叠后反演面临的主要影响因素进行了讨论与分析。在此基础上,对叠后反演与地震属性的理论关系和地质解释关系进行了讨论,同时给出了叠后反演应考虑的主要步骤。 展开更多
关键词 叠后地震反演 地震属性 地震影响因素 地质影响因素 算法影响因素
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Quantitative analysis on influencing factors for interface propagation-based thermal conductivity measurement method during solid-liquid transition 被引量:1
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作者 ZHOU Tian MA Xiao-yi +1 位作者 LIU Xu LI Yuan 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第8期2041-2055,共15页
The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, i... The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, in previous investigation, the analysis on the measurement error was qualitative and only focused on the total effects on the measurement without decoupling the influencing factors. This paper discusses the effects of influencing factors on the measurement results for the interface propagation-based method. Numerical simulations were performed to explore the influencing factors, namely model simplification, subcooling and natural convection, along with their impact on the measurement process and corresponding measurement results. The numerical solutions were provided in terms of moving curves of the solid-liquid interface and the predicted values of thermal conductivity. Results indicated that the impact of simplified model was strongly dependent on Stefan number of the melting process. The degree of subcooling would lead to underestimated values for thermal conductivity prediction. The natural convection would intensify the heat transfer rate in the liquid region, thereby overestimating the obtained results of thermal conductivity. Correlations and experimental guidelines are provided. The relative errors are limited in ±1.5%,±3%and ±2% corresponding to the impact of simplified model, subcooling and natural convection, respectively. 展开更多
关键词 phase change material thermal conductivity measurement influencing factor interface propagation-based method numerical simulation
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