Fracturing Productivity Prediction Technology for Intermediate-Basic Volcanic Gas Reservoirs in Songliao Basin
摘要
In view of the complex and diverse reservoir space of intermediate-basic volcanic rocks in Songliao Basin, which is dominated by intermediate-basic andesite and basalt, and serious heterogeneity, the productivity prediction error of commercial fracturing software is large (average about 40%). In order to accurately evaluate the post-compression productivity, which parameter optimization design is based on a triple medium mathematical model of matrix porosity, natural fracture and artificial fracture was established for intermediate-basic volcanic gas reservoirs. The effects of starting pressure gradient, slippage effect and stress sensitivity on fracture-controlled reconstruction zone were investigated, and the variation law of fracture-controlled reconstruction volume with fracture spacing under the control of various factors was simulated. A productivity evaluation technology suitable for intermediate basic volcanic gas reservoirs was formed, and the productivity prediction error was less than 7% when applied to multiple wells of intermediate-basic volcanic gas reservoirs in Songliao Basin. The prediction technology has strong pertinence, and can guide the optimization design of the parameters of the intermediate basic volcanic reservoir.