Multivariate linear regression model for evaluating fracturing effects and technical and economic limits of fracturing stimulation

Sand fracturing is one of important stimulation measures for low porosity and low permeability sandstone reservoirs. And the accurate evaluation on fracturing stimulation effect, combined with the economic benefit is the base to determine the limit of stimulation measures. The fracturing oil enhancement model from the basic well pattern to the tertiary well pattern was established by means of multivariate linear regression analysis method based on the actual oil increment data of fracturing wells in a certain domestic oilfield. This model was applied to predict the oil increment amplitude. The calculated average oil increment amplitude of secondary well pattern is 1.93, which is 1.03% lower than the actual value (1.95), indicating good conformity. Based on the weighing values of all influential factors, two main control factors affecting the fracturing effects of different well patterns were identified by using this model. And combined with the oil prices, the technical and economic limits of main control factors of the following stimulation measures in each well pattern were determined. The oil enhancement model established by this method takes the actual production data of an oilfield as the beginning point and its applicability is stronger. The whole set of modeling method developed in this paper can be popularized to other blocks.