Based on the practice of oil and gas exploration and the analysis of shallow lithologic reservoirs,combined with the allocation relationship and enrichment law of oil and gas accumulation factors,main controlling fact...Based on the practice of oil and gas exploration and the analysis of shallow lithologic reservoirs,combined with the allocation relationship and enrichment law of oil and gas accumulation factors,main controlling factors and models of hydrocarbon accumulation of large lithologic reservoirs in shallow strata around the Bozhong sag are summarized,and favorable exploration areas are proposed.The coupling of the four factors of“ridge-fault-sand-zone”is crucial for the hydrocarbon enrichment in the shallow lithologic reservoirs.The convergence intensity of deep convergence ridges is the basis for shallow oil and gas enrichment,the activity intensity of large fault cutting ridges and the thickness of cap rocks control the vertical migration ability of oil and gas,the coupling degree of large sand bodies and fault cutting ridges control large-scale oil and gas filling,the fault sealing ability of structural stress concentration zones affects the enrichment degree of lithologic oil and gas reservoirs.Three enrichment models including uplift convergence type,steep slope sand convergence type and depression uplift convergence type are established through the case study of lithologic reservoirs in shallow strata around the Bozhong sag.展开更多
模糊函数主脊(Ambiguity function main ridge,AFMR)切面特征能较好地反映不同信号结构上的本质差别,是解决当前复杂体制雷达辐射源信号分选难题的可行参数,而快速、智能地搜索模糊函数主脊切面是增加其切面特征实用性的重要问题。为此...模糊函数主脊(Ambiguity function main ridge,AFMR)切面特征能较好地反映不同信号结构上的本质差别,是解决当前复杂体制雷达辐射源信号分选难题的可行参数,而快速、智能地搜索模糊函数主脊切面是增加其切面特征实用性的重要问题。为此,本文构建了一种结合均匀初始化策略和改进非线性收敛因子的改进自适应灰狼算法来搜索典型6种雷达辐射源信号的模糊函数主脊切面并提取切面特征,并与穷举法和标准灰狼算法进行对比。实验结果表明,所提方法在搜索AFMR切面并提取特征时,平均耗时仅为1.49 s,相较于穷举法和标准灰狼优化算法,效率分别提高了75.7%和19.0%,具有较优的时效性。在固定信噪比(Signal⁃to⁃noise ratio,SNR)环境下,当SNR不低于0 dB时,提取到特征值的平均聚类准确率为96.4%,在0~20 dB动态信噪比环境下,平均聚类准确率可达95.2%,具有较好的准确性、抗噪性能及较强的类内聚集性和类间分离能力,证实了所提方法的可行性与有效性。展开更多
基金Supported by the China National Science and Technology Major Project(2011ZX05023-006-002,2016ZX05024-003).
文摘Based on the practice of oil and gas exploration and the analysis of shallow lithologic reservoirs,combined with the allocation relationship and enrichment law of oil and gas accumulation factors,main controlling factors and models of hydrocarbon accumulation of large lithologic reservoirs in shallow strata around the Bozhong sag are summarized,and favorable exploration areas are proposed.The coupling of the four factors of“ridge-fault-sand-zone”is crucial for the hydrocarbon enrichment in the shallow lithologic reservoirs.The convergence intensity of deep convergence ridges is the basis for shallow oil and gas enrichment,the activity intensity of large fault cutting ridges and the thickness of cap rocks control the vertical migration ability of oil and gas,the coupling degree of large sand bodies and fault cutting ridges control large-scale oil and gas filling,the fault sealing ability of structural stress concentration zones affects the enrichment degree of lithologic oil and gas reservoirs.Three enrichment models including uplift convergence type,steep slope sand convergence type and depression uplift convergence type are established through the case study of lithologic reservoirs in shallow strata around the Bozhong sag.
文摘模糊函数主脊(Ambiguity function main ridge,AFMR)切面特征能较好地反映不同信号结构上的本质差别,是解决当前复杂体制雷达辐射源信号分选难题的可行参数,而快速、智能地搜索模糊函数主脊切面是增加其切面特征实用性的重要问题。为此,本文构建了一种结合均匀初始化策略和改进非线性收敛因子的改进自适应灰狼算法来搜索典型6种雷达辐射源信号的模糊函数主脊切面并提取切面特征,并与穷举法和标准灰狼算法进行对比。实验结果表明,所提方法在搜索AFMR切面并提取特征时,平均耗时仅为1.49 s,相较于穷举法和标准灰狼优化算法,效率分别提高了75.7%和19.0%,具有较优的时效性。在固定信噪比(Signal⁃to⁃noise ratio,SNR)环境下,当SNR不低于0 dB时,提取到特征值的平均聚类准确率为96.4%,在0~20 dB动态信噪比环境下,平均聚类准确率可达95.2%,具有较好的准确性、抗噪性能及较强的类内聚集性和类间分离能力,证实了所提方法的可行性与有效性。
