In seismic exploration,it is a critical task to image and interpret different seismic signatures over complex geology due to strong lateral velocity contrast,steep reflectors,overburden strata and dipping flanks.To un...In seismic exploration,it is a critical task to image and interpret different seismic signatures over complex geology due to strong lateral velocity contrast,steep reflectors,overburden strata and dipping flanks.To understand the behavior of these seismic signatures,nowadays Reverse Time Migration(RTM)technique is used extensively by the oil&gas industries.During the extrapolation phase of RTM,the source wavefield needs to be saved,which needs high storage memory and large computing time.These two are the main obstacles of RTM for production use.In order to overcome these disadvantages,in this study,a second-generation improved RTM technique is proposed.In this improved form,a shift operator is introduced at the time of imaging condition of RTM algorithm which is performed automatically both in space and time domain.This effort is made to produce a better-quality image by minimizing the computational time as well as numerical artefacts.The proposed method is applied over various benchmark models and validated by implementing over one field data set from the Jaisalmer Basin,India.From the analysis,it is observed that the method consumes a minimum of 45%less storage space and reduce the execution time by 20%,as compared to conventional RTM.The proposed RTM is found to work efficiently in comparison to the conventional RTM both in terms of imaging quality and minimization of numerical artefacts for all the benchmark models as well as field data.展开更多
The deep structure features around Tancheng M8 /2 earthquake occurred in 1668 have been analyzed. Based on the crustal velocity structure obtained from travel-time tomographic inversion, especially the low velocity zo...The deep structure features around Tancheng M8 /2 earthquake occurred in 1668 have been analyzed. Based on the crustal velocity structure obtained from travel-time tomographic inversion, especially the low velocity zones in middle crust and Moho depths, the deep velocity structure distribution in the area of 34° ~ 36°N, 118° ~ 119°E is scanned along the latitude, longitude and oblique directions, and the corresponding crustal velocity profiles are obtained. By comparison, we take the area with velocity features coincident to the deep structure of the 1668 Tancheng M8/2 earthquake as the deduced epicenter, which is at 34. 8° ~35. 2°N, 118. 2° ~ 118. 7°E, and the reasonable location is 35. isN, 118. 6°E, and the focal depth is 20km.展开更多
文摘In seismic exploration,it is a critical task to image and interpret different seismic signatures over complex geology due to strong lateral velocity contrast,steep reflectors,overburden strata and dipping flanks.To understand the behavior of these seismic signatures,nowadays Reverse Time Migration(RTM)technique is used extensively by the oil&gas industries.During the extrapolation phase of RTM,the source wavefield needs to be saved,which needs high storage memory and large computing time.These two are the main obstacles of RTM for production use.In order to overcome these disadvantages,in this study,a second-generation improved RTM technique is proposed.In this improved form,a shift operator is introduced at the time of imaging condition of RTM algorithm which is performed automatically both in space and time domain.This effort is made to produce a better-quality image by minimizing the computational time as well as numerical artefacts.The proposed method is applied over various benchmark models and validated by implementing over one field data set from the Jaisalmer Basin,India.From the analysis,it is observed that the method consumes a minimum of 45%less storage space and reduce the execution time by 20%,as compared to conventional RTM.The proposed RTM is found to work efficiently in comparison to the conventional RTM both in terms of imaging quality and minimization of numerical artefacts for all the benchmark models as well as field data.
基金funded jointly by the National Natural Science Foundation of China(Grant No.40974031)Science and Technology Development Program of Jiangsu Province(BE2009691)
文摘The deep structure features around Tancheng M8 /2 earthquake occurred in 1668 have been analyzed. Based on the crustal velocity structure obtained from travel-time tomographic inversion, especially the low velocity zones in middle crust and Moho depths, the deep velocity structure distribution in the area of 34° ~ 36°N, 118° ~ 119°E is scanned along the latitude, longitude and oblique directions, and the corresponding crustal velocity profiles are obtained. By comparison, we take the area with velocity features coincident to the deep structure of the 1668 Tancheng M8/2 earthquake as the deduced epicenter, which is at 34. 8° ~35. 2°N, 118. 2° ~ 118. 7°E, and the reasonable location is 35. isN, 118. 6°E, and the focal depth is 20km.
