Shale oil horizontal well yield calculation method

Abstract

The invention discloses a shale oil horizontal well yield calculation method. The method comprises the following steps of establishing a yield change quantitative characterization model of a shale oil horizontal well; and determining the values of to, Qomax, tm and Dav of the shale oil horizontal well, and substituting the values into the yield change quantitative characterization model to calculate the daily oil production of the tth day after the shale oil horizontal well is put into production. According to the shale oil horizontal well yield calculation method provided by the invention, on the basis of a simple full-life-cycle quantitative characterization model and in combination with an optimization algorithm, a shale oil horizontal well production dynamic curve is fitted, characteristic parameters in the model are inverted, and a foundation is laid for shale oil fractured horizontal well production dynamic prediction.

Description

technical field [0001] The invention relates to the field of shale oil horizontal wells. More specifically, the present invention relates to a calculation method for shale oil horizontal well production. Background technique [0002] my country is rich in shale oil resources. According to EIA (2015) estimates, the technically recoverable resources of shale oil in China are about 185×10 8 t, are mainly distributed in the continental formations of several basins such as Junggar, Songliao, and Bohai Bay. However, in the process of shale oil development, it is faced with the problems of complex production variation and difficulty in predicting production dynamics. At present, the production performance fitting analysis methods of unconventional shale reservoirs include conventional Arps decline analysis methods, modern production decline analysis (including Fetkovich, Blasingame, A-G, NPI, etc.), Wattenbarger prediction model and multi-stage fractured horizontal well performanc...

AI Technical Summary

Problems solved by technology

[0002] my country is rich in shale oil resources. According to EIA (2015) estimates, the technically recoverable resources of shale oil in China are about 185×10 8 t, mainly distributed in the continental strata of Junggar, Songliao, Bohai Bay and other basins, but the shale oil development process is faced with complex production changes and difficult production dynamics fitting predictions

At present, the production performance fitting analysis methods of unconventional shale reservoirs include conventional Arps decline analysis methods, modern production decline analysis (including Fetkovich, Blasingame, A-G, NPI, etc.), Wattenbarger prediction model and multi-stage fractured horizontal well performance prediction model, etc. Among the above methods, the Arps decline analysis method is relatively simple, but it is difficult to fully consider the production process of shale oil horizontal wells in their entire life cycle. Although modern production decline analysis and Wattenbarger prediction models can better simulate the production process of shale oil horizontal wells, they cannot The theory is more complicated and the applicability is poor

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