Quantitative Characterization For Rock Physics Modulus Of Tight Clastic Reservoir

Tight reservoir oil and gas as a kind of unconventional energy, conventional energy to succeed in the world has played a vital role. Tight clasolite reservoir has low porosity and low permeability and complex pore structure characteristics, in terms of experimental analysis or interpretation of the process, due to the deviation of rockphysical parameters and many uncertain of the cause of the tight clasolite reservoir evaluation. Therefore, to accurately obtain the physical parameters of tight reservoir rock, rock physics research is crucial, but also has a great challenge and practical value.Rock physics builds a bridge between seismic attributes and reservoir parameters, which not only provides basic knowledge and necessary data for forward and inversion modeling, but also reduces the risk of seismic interpretation. This paper firstly summarizes the petrophysical theory to estimate the modulus of elasticity of the advantages and disadvantages in the case of low porosity, discusses low porosity, low permeablity and high irreducible water saturation factors in reservoirs, and bulid the tight reservoir seismic rock physics model and quantify characterizes modulus of elasticity. Further, considering the non-solid phase kerogen, bedded clay, and high crack effects, this paper bulids anistropic rock physics for shale reservoir, and characterizes anistropic modulus of elasticity.Based on these models, this paper studies the influence relationship between the mineral components of the rock, porosity, the pore fluid, the reservoir space type on the compressional modulus, the shear modulus, the P-wave velocity, and the S-wave velocity. Finally the paper makes forward modelling analysis based on Zoeppritz equations with the obtained P-wave velocity, S-wave velocity and density, analyses the seismic reflectance signatures under the different mineral components of the rock, porosity, the reservoir space type.Based on the tight reservoir rock physics model, achieving prediction of reservoir elastic parameters and analysis by forward modeling, improving the effectiveness of reservoir explaination.