Petroleum Science | |
Sweet spot prediction in tight sandstone reservoir based on well-bore rock physical simulation | |
Hai-ting Zhou1  Xian-tai Liu1  Yu-shan Du1  Wei Gong2  De-yong Li3  | |
[1] Exploration and Development Institute of Shengli Oilfield;Key Laboratory of Submarine Geosciences and Prospecting Techniques, MOE, College of Marine Geosciences, Ocean University of China;Shandong Provincial Key Laboratory of Depositional Mineralization and Sedimentary Minerals, Shandong University of Science and Technology; | |
关键词: Tight sandstone reservoir; Sweet spot; Sensitive elastic parameter; Well-bore rock physical simulation; Rock physics template; Pre-stack seismic inversion; | |
DOI : 10.1007/s12182-019-00393-1 | |
来源: DOAJ |
【 摘 要 】
Abstract To establish the relationship among reservoir characteristics and rock physical parameters, we construct the well-bore rock physical models firstly, considering the influence factors, such as mineral composition, shale content, porosity, fluid type and saturation. Then with analyzing the change rules of elastic parameters along with the above influence factors and the cross-plots among elastic parameters, the sensitive elastic parameters of tight sandstone reservoir are determined, and the rock physics template of sweet spot is constructed to guide pre-stack seismic inversion. The results show that velocity ratio and Poisson impedance are the most sensitive elastic parameters to indicate the lithologic and gas-bearing properties of sweet spot in tight sandstone reservoir. The high-quality sweet spot is characterized by the lower velocity ratio and Poisson impedance. Finally, the actual seismic data are selected to predict the sweet spots in tight sandstone gas reservoirs, so as to verify the validity of the rock physical simulation results. The significant consistency between the relative logging curves and inversion results in different wells implies that the utilization of well-bore rock physical simulation can guide the prediction of sweet spot in tight sandstone gas reservoirs.
【 授权许可】
Unknown