DOI: 10.1061/jleed9.eyeng-7039 ISSN: 0733-9402

Dynamic Analysis Method and Production Prediction of Oil-Water Two-Phase Flow in Multistage Fracturing Horizontal Wells of Shale Oil

Yiyang Wang, Juan Du, Shuang Ai, Sipu Qiu, Shilong Yang

Abstract

This study addresses key challenges in shale oil reservoir development using multistage fractured horizontal wells, where complex oil-water two-phase flow mechanisms limit the accuracy of conventional single-phase flow models in interpreting reservoir parameters and predicting production. A mathematical model for oil-water two-phase flow was established, incorporating the time-varying effects of water saturation and relative permeability. Pseudo-pressure and pseudo-time functions were introduced to linearize the governing partial differential equations. A semianalytical solution was derived to effectively characterize the complex two-phase flow behavior within the fracture-stimulated region. Based on type-curve analysis and history matching, an inversion workflow was proposed to determine key parameters, including fracture half-length and matrix permeability, and to predict dynamic production. Applied to Well Zhenye 1 in the Subei Basin, the productivity type curves clearly exhibit three flow regimes: linear flow, transition flow, and boundary-dominated flow. The inverted parameters align well with actual reservoir conditions, enabling high-accuracy production forecasts with an average parameter inversion error of less than 10%. This approach significantly reduces reliance on high-cost monitoring technologies and provides a practical, economical solution to support the efficient development of shale oil reservoirs.

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