Recognition of Fracturing Horizontal Production Stage in Tight Reservoir Based on Data Driven

Abstract

As an unconventional oil and gas resource, the exploration and development of tight oil has been better studied with the development of horizontal well and fracturing technology. For tight oil, hydraulic fracturing horizontal well technology is one of the important methods to improve productivity. The production cycle of horizontal wells after hydraulic fracturing in tight reservoirs can be divided into four stages: initial flowback stage, low pressure flowing stage, intermittent flowing stage and artificial lifting stage. Recognizing different production stages in time after fracturing and adopting appropriate production schemes can bring into full play the fracturing effect and production potential of oil wells. At present, there is no reasonable theoretical basis for dividing production stages of horizontal wells in tight reservoirs after hydraulic fracturing. At present, the method of manual identification is mainly used to determine these production stages, but the results are easily influenced by subjectivity. In order to solve this problem, this paper proposes an intelligent division method for the production stages of hydraulic fracturing horizontal wells from the perspective of data analysis. In this paper, the output and casing pressure of horizontal wells after fracturing in the central sag of the secondary structural belt of Songliao Basin are taken as the research objects, and a data-driven production stage division method is established, which provides a theoretical basis for the rational division of production stages. The results are of great significance for making full use of post-fracturing energy in tight reservoirs.