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河道砂体含油性判别方法 被引量:7
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作者 王永刚 乐友喜 +1 位作者 曹丹平 王学军 《石油地球物理勘探》 EI CSCD 北大核心 2005年第4期459-462,共4页
砂体的含油性预测确有一定的难度与风险性。然而,由于各类砂体的含油性总有一定的特点和规律,所以在遵循地质特点和规律的条件下,对河道砂体含油性的地质和地球物理条件进行分析,便可以利用地质、地球物理和油藏工程等领域的多种信息对... 砂体的含油性预测确有一定的难度与风险性。然而,由于各类砂体的含油性总有一定的特点和规律,所以在遵循地质特点和规律的条件下,对河道砂体含油性的地质和地球物理条件进行分析,便可以利用地质、地球物理和油藏工程等领域的多种信息对河道砂体的含油性进行科学合理地预测。文中主要利用优化的地震属性、孔隙率预测结果、神经网络方法和支持向量机方法的含油性预测结果,对埕东凸起北坡馆陶组上段河道砂体含油性进行综合判别,取得了初步成效。 展开更多
关键词 河道砂体 地震属性 孔隙率预测 含油性预测 模糊神经网络方法 支持向量机方法 判别方法 地质特点 神经网络方法 地球物理
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Correction of seabed layer thickness in processing subbottom profile data 被引量:1
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作者 王方旗 亓发庆 +2 位作者 胡光海 董立峰 陶常飞 《Marine Science Bulletin》 2012年第2期83-96,共14页
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
关键词 subbottom profile layer thickness correction sound velocity forecasting equation POROSITY
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