Author/Authors :
Wang, Pu State Key Laboratory of Petroleum Resources and Prospecting - National Engineering Laboratory for Offshore Oil Exploration - China University of Petroleum-Beijing, Beijing, China , Li, Jingye State Key Laboratory of Petroleum Resources and Prospecting - National Engineering Laboratory for Offshore Oil Exploration - China University of Petroleum-Beijing, Beijing, China , Chen, Xiaohong State Key Laboratory of Petroleum Resources and Prospecting - National Engineering Laboratory for Offshore Oil Exploration - China University of Petroleum-Beijing, Beijing, China , Wang, Kedong State Key Laboratory of Petroleum Resources and Prospecting - National Engineering Laboratory for Offshore Oil Exploration - China University of Petroleum-Beijing, Beijing, China , Wang, Benfeng Tongji University - State Key Laboratory of Marine Geology - School of Ocean and Earth Science - Institute for Advanced Study,Shanghai, China
Abstract :
Fluid discrimination is an extremely important part of seismic data interpretation. It plays an important role in the refined description of hydrocarbon-bearing reservoirs. The conventional AVO inversion based on Zoeppritz’s equation shows potential in lithology prediction and fluid discrimination; however, the dispersion and attenuation induced by pore fluid are not fully considered. The relationship between dispersion terms in different frequency-dependent AVO equations has not yet been discussed. Following the arguments of Chapman, the influence of pore fluid on elastic parameters is analyzed in detail. We find that the dispersion and attenuation of Russell fluid factor, Lamé parameter, and bulk modulus are more pronounced than those of P-wave modulus. The Russell fluid factor is most prominent among them. Based on frequency-dependent AVO inversion, the uniform expression of different dispersion terms of these parameters is derived. Then, incorporating the P-wave difference with the dispersion terms, we obtain new P-wave difference dispersion factors which can identify the gas-bearing reservoir location better compared with the dispersion terms. Field data application also shows that the dispersion term of Russell fluid factor is optimal in identifying fluid. However, the dispersion term of Russell fluid factor could be unsatisfactory, if the value of the weighting parameter associated with dry rock is improper. Then, this parameter is studied to propose a reasonable setting range. The results given by this paper are helpful for the fluid discrimination in hydrocarbon-bearing rocks.
