Fractures Characterization And Geological Modeling Of Fractured Carbonate Gas Reservoirs

In the carbonate reservoir,the fracture is both a reservoir space and a seepage channel.A block of X gas field is a typical fractured carbonate gas reservoir with strong heterogeneity of fracture development and strong uncertainty.In this paper,a fractured database is established based on imaging logging and core observation.This paper establishes the double-hole double-permeability geological model in the study area by using deterministic modeling and stochastic modeling as the model constraints.It is proved that the model has high reliability from several angles.The numerical simulation technique was used to analyze the water injection pattern of gas wells.The paper has obtained the following results:(1)The concept of fracture phase is proposed,and the fracture phase can be used to predict the fracture properties,filling and so on.Using the fracture phase as the guidance basis for fracture modeling can improve the model reliability.(2)Based on the main factors of crack,the comprehensive parameters of fracture development are established.Using this parameter to constrain the fracture density model can effectively improve the model accuracy.(3)By studying the relationship between fracture characteristic parameters and production dynamic data,it is found that critical pressure cracks with a certain width play a major role in production capacity.(4)Using the three-dimensional geological modeling software of Petrel,the dual-hole double-permeability geologic model established by the power-constrained Bingham model has high reliability by using the combination of multiple factor constraints,determinism and stochastic modeling.The fractured spatial characteristics of the model found that the fractures of the wells in the high-yield wells have the characteristics of high degree of aggregation and high critical pressure fractures,and the average of the fractured vectors is close to the main stress and the crack connectivity.(5)Using numerical simulation techniques to qualitatively analyze the gas well water pattern and predict that the water time has not yet been seen.