The importance of evaluating and predicting the performance of producers cannot be emphasized too much, and their production performances can directly determine the economic feasibilities. What's more, production data analysis (PDA) can also be used to evaluate the geological information and give us good guidelines to develop the reservoirs. To comprehensively understand the performance of a multiple fractured horizontal well (MFHW) with complex fracture networks, a semi-analytical model for PDA are established to for Junggar Basin shale oil reservoir, based on the previous work (Tang et al. 2019). Furthermore, based on Blasingame type curve, the production performances of a MFHW is studied. To comprehensively understand what parameters can influence the different stages of production period, a series of sensitivity analyses have been done. Finally, we use this new production model to perform a type-curve matching and compare with the interpretation results getting from pressure transient analysis (PTA) method in a case from Junggar Basin, it is found that these two methods get almost the same results, which means that the proposed PDA model is reliable. The results show that production performances of a MFHW with complex fracture networks in a production decline curve can be divided into five flow regimes, including: (1) bilinear flow, (2) fluid support flow, (3) linear flow, (4) crossflow from matrix to natural fracture networks, and (5) radial flow. Results from sensitivity analysis show that with the increase of fracture networks scale, the holistic production rate will increase, and the influence of hydraulic fractures (HFs) are much greater than that of interconnected micro fractures (IMFs). It is also noted that the early period of the production behavior is mainly influenced by the density of the fracture networks while the later production behavior is dominated by the scale of the fracture networks.

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