In this study, the differences in reservoir parameters, such as pore radius, throat radius, and pore-throat ratio, between the east and west subsags of the Lishui Sag are analyzed by using data obtained from a constan...In this study, the differences in reservoir parameters, such as pore radius, throat radius, and pore-throat ratio, between the east and west subsags of the Lishui Sag are analyzed by using data obtained from a constant-rate mercury injection experiment. Furthermore, the quality of the reservoirs in the two subsags is systematically evaluated. Results show that the throat radius of the Lishui west subsag is larger than that of the east subsag, and this parameter has a positive correlation with reservoir quality. However, the pore-throat ratio of the east subsag is larger than that of the west subsag, which has an inverse relationship with reservoir quality. The main reasons for this reservoir difference can be attributed to sedimentation and diagenesis. The sedimentary facies types of the Lishui east subsag are the fan delta, shore lake, shallow lake, and shore shallow lake;their sandstone composition maturity is low;the clay mineral content is high;and the rock has undergone strong diagenesis. Therefore, the physical conditions of the reservoir are poor. However, the sandstones in the Lishui west subsag have weak cementation and compaction, mainly with an intergranular pore structure type, which leads to good connectivity between pores. Therefore, the storage performance and seepage capacity of the Lishui west subsag are better than those of the east subsag;the west subsag is the main area of oil and gas accumulation, as confirmed in the process of exploration and development.展开更多
随着辅助驾驶技术对高精度的不断追求,毫米波雷达在目标检测领域的应用逐渐成为研究热点。针对毫米波雷达在对多目标检测时门限被抬高而产生误差的情况,提出了一种融合标准差和距离的恒虚警检测算法(Standard Deviation Smallest of CFA...随着辅助驾驶技术对高精度的不断追求,毫米波雷达在目标检测领域的应用逐渐成为研究热点。针对毫米波雷达在对多目标检测时门限被抬高而产生误差的情况,提出了一种融合标准差和距离的恒虚警检测算法(Standard Deviation Smallest of CFAR,SDSO-CFAR),通过对目标两侧较小的参考单元加入标准差和距离作为动态阈值,使得波动特征更大的信号门限值更低,显著提升了多目标检测的准确性并降低目标检测对信噪比的依赖。通过数据仿真验证,所采用的目标检测算法在新型雷达芯片配置下,在信噪比为10 d B时,SDSO-CFAR算法的检测概率比CA-CFAR算法高0.08,比SO-CFAR算法高0.23,有效解决了多目标检测存在的遮蔽问题。展开更多
基金supported by the National Natural Science Foundation of China (Nos. 51504143 and 51674156)the SDUST Research Fund (No. 2015DJH101)the Major National R&D Projects of China (No. 2016ZX0 5027-001-006)。
文摘In this study, the differences in reservoir parameters, such as pore radius, throat radius, and pore-throat ratio, between the east and west subsags of the Lishui Sag are analyzed by using data obtained from a constant-rate mercury injection experiment. Furthermore, the quality of the reservoirs in the two subsags is systematically evaluated. Results show that the throat radius of the Lishui west subsag is larger than that of the east subsag, and this parameter has a positive correlation with reservoir quality. However, the pore-throat ratio of the east subsag is larger than that of the west subsag, which has an inverse relationship with reservoir quality. The main reasons for this reservoir difference can be attributed to sedimentation and diagenesis. The sedimentary facies types of the Lishui east subsag are the fan delta, shore lake, shallow lake, and shore shallow lake;their sandstone composition maturity is low;the clay mineral content is high;and the rock has undergone strong diagenesis. Therefore, the physical conditions of the reservoir are poor. However, the sandstones in the Lishui west subsag have weak cementation and compaction, mainly with an intergranular pore structure type, which leads to good connectivity between pores. Therefore, the storage performance and seepage capacity of the Lishui west subsag are better than those of the east subsag;the west subsag is the main area of oil and gas accumulation, as confirmed in the process of exploration and development.
文摘随着辅助驾驶技术对高精度的不断追求,毫米波雷达在目标检测领域的应用逐渐成为研究热点。针对毫米波雷达在对多目标检测时门限被抬高而产生误差的情况,提出了一种融合标准差和距离的恒虚警检测算法(Standard Deviation Smallest of CFAR,SDSO-CFAR),通过对目标两侧较小的参考单元加入标准差和距离作为动态阈值,使得波动特征更大的信号门限值更低,显著提升了多目标检测的准确性并降低目标检测对信噪比的依赖。通过数据仿真验证,所采用的目标检测算法在新型雷达芯片配置下,在信噪比为10 d B时,SDSO-CFAR算法的检测概率比CA-CFAR算法高0.08,比SO-CFAR算法高0.23,有效解决了多目标检测存在的遮蔽问题。
