The Study Of Fractured Reservoir Prediction In B31Fault Block Of Junggar Basin

With lower porosity, permeability and complex structure, the Permian fractured glutenite reservoir in B31fault block which is located in the north-western margin of Junggar basin was mainly controlled by the structure and lithology etc. The author built the log interpretation model based on the core description and image and analysis, the static geomodel of fractured reservoirs was built with stochastic modeling approach for simulation with the stochastic seismic inversion results as input. The challenges and uncertainty in describing the heterogeneity and abundance of fractures potentially available for fluid flow and the probability of encountering fractures out of a borehole without adequate constraints, also impact the economic development of B31fault block fractured reservoir. Fracture intensity factor created with the fracture porosity, netpay of reservoir and dynamic data. The author integrated a set of rock matrix properties and fracture-related seismic attributes and production data to simulate a3D fracture distribution model with fuzzy logic. Fracture distribution probability and orientation were generated with neuralnet techniques. It also shows that the use of quantitative fracture distribution (orientation and probability) estimations, together with their error bars (confidence bounds), is a valuable tool for fracture reservoir characterization and the sweet-spots identification with reduced risks. Drilling proposals which based on the geomodeling and fracture prediction were delivered to management.