在分析国内普遍采用的速度剖面校正因子影响因素和计算方法的基础上,提出了基于雷诺数与速度剖面校正因子关系图版计算校正因子的方法,并阐述了采用Visual Studio 2010平台及C Sharp语言编程实现该方法的流程。通过对海上油田多口井的...在分析国内普遍采用的速度剖面校正因子影响因素和计算方法的基础上,提出了基于雷诺数与速度剖面校正因子关系图版计算校正因子的方法,并阐述了采用Visual Studio 2010平台及C Sharp语言编程实现该方法的流程。通过对海上油田多口井的实际应用,证明该方法具有更广阔的适用性,尤其在单相流及两相流的产出井中应用效果良好。展开更多
The subbottom profiling is an important means of marine engineering survey, hazardous geology study and continental shelf scientific research. The accuracy of subbottom profile data interpretation has a direct impact ...The subbottom profiling is an important means of marine engineering survey, hazardous geology study and continental shelf scientific research. The accuracy of subbottom profile data interpretation has a direct impact on the research and investigation results. Because some of profilers’ transducer and hydrophone are separately installed, when the survey area is very shallow, distortion of shallow layers will be caused if it is seen as a self-excited and self-collected single-channel seismic system. According to the principle of subbottom profiler, the distortion correction formula is deduced and analyzed, providing actual value to using C-View software to interpret such subbottom profile data more accurately. In addition, the seabed sediments sound velocity is one of the key parameters when acquiring and processing the subbottom profile data. On the basis of comparing some sound velocity forecasting empirical equations, the LU Bo’s equation was considered the most appropriate to predict the seabed sediments, sound velocity at near-shore of China. In a survey of an artificial island site, the LU Bo’s equation and the porosity data obtained from geological drilling were utilized to predict the sediments sound velocity, and the sound velocity structure profile was plotted, which was applied in processing the subbottom profile data of the artificial island investigation. The method of using porosity data to predict sediments sound velocity in processing subbottom profile data can improve the interpretation accuracy and it’s of practical significance.展开更多
文摘在分析国内普遍采用的速度剖面校正因子影响因素和计算方法的基础上,提出了基于雷诺数与速度剖面校正因子关系图版计算校正因子的方法,并阐述了采用Visual Studio 2010平台及C Sharp语言编程实现该方法的流程。通过对海上油田多口井的实际应用,证明该方法具有更广阔的适用性,尤其在单相流及两相流的产出井中应用效果良好。
文摘The subbottom profiling is an important means of marine engineering survey, hazardous geology study and continental shelf scientific research. The accuracy of subbottom profile data interpretation has a direct impact on the research and investigation results. Because some of profilers’ transducer and hydrophone are separately installed, when the survey area is very shallow, distortion of shallow layers will be caused if it is seen as a self-excited and self-collected single-channel seismic system. According to the principle of subbottom profiler, the distortion correction formula is deduced and analyzed, providing actual value to using C-View software to interpret such subbottom profile data more accurately. In addition, the seabed sediments sound velocity is one of the key parameters when acquiring and processing the subbottom profile data. On the basis of comparing some sound velocity forecasting empirical equations, the LU Bo’s equation was considered the most appropriate to predict the seabed sediments, sound velocity at near-shore of China. In a survey of an artificial island site, the LU Bo’s equation and the porosity data obtained from geological drilling were utilized to predict the sediments sound velocity, and the sound velocity structure profile was plotted, which was applied in processing the subbottom profile data of the artificial island investigation. The method of using porosity data to predict sediments sound velocity in processing subbottom profile data can improve the interpretation accuracy and it’s of practical significance.
