Research On Percolation Charateristic And Post-frac Productivity Prediction For Tight Sandstone Reservoirs In Sulige Area

Tight sandstone gas reservoir is of great significant in the exploration anddevelopment field of unconventional gas. Due to the low porosity, low permeabilityand low gas saturation, the complex seepage mechanism, eastablishing high precisioninterpretation model is complicated.Due to the strong heterogeneity, the coexistenceof low resistivity gas layers with low resistivity layer, correctly evaluating the gasbearing property in tight sandstone is difficult. Due to the influence of fracturingtreatment on the formation in production, forecasting the fractured-production iscomplex for tight sandstone.Carrying out the research of seepage charateristics, establishing the highprecision interpretation model, correctly evaluating the gas bearing property,accurately predicting the productivity, analyzing the distribution of gas and watercould guide the rational exploitation of tight sandstone reservoir.The author main do the research on the reservoir evaluation and thefra-production’s prediction in Sulige area.Firstly, the author analyzed the reservoir property.The author analyzed thereservoir feature, the petrological characteristics of Sulige area.Studied the influenceof mineral content on capacity.Studied the influence of porosity,permeability,saturation and relative permeability on seepage.Secondly, the author built the explanation model for porosity, permeability andgas saturation.The author used the Elman_Adaboost to predict the porosity, used theSVR to predict the permeability and saturation.Thirdly, the author evaluated the gas bearing property.The author used thecross-plot of conventional logging to qualitatively evaluate the gas content, used thewavelet analysis and generalized regression neural network (GRNN) to quantitatively evaluate the gas contant.Finally, the author forecasted the fractured-production.The author analyzed theinfluence factors of production based on the fractured productivity theory.Used theprincipal component analysis (PCA) to select the main factors.Used GRNN to predictthe production, Used KHK to split the combined test layers.Analyzed the distributionof gas and water of he8in Sulige area.