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裂縫網絡支撐劑非均勻分布對開采動態規律的影響

Effect of uneven distribution of proppant in fracture network on exploitation dynamic characteristics

  • 摘要: 水力壓裂過程中支撐劑的注入是為了防止地應力將已壓裂出的裂縫重新閉合。為了研究復雜裂縫網絡中支撐劑的運移分布規律,及支撐劑非均勻分布對開采動態規律的影響,基于作者之前提出的數個數學模型,建立了致密儲層壓裂注砂開發耦合計算模型。通過計算結果可以得知:裂縫網絡中,支撐劑會在裂縫交匯處大量堆積,砂堤高度高于縫網其他部分。次級裂縫中的支撐劑更多的處于懸浮狀態,且支撐劑沉降堆積高度相較于主裂縫小25%~50%,相互溝通的次級縫具有更高的支撐劑沉降程度。縫網中支撐劑非均勻分布對模擬計算結果具有較大影響,當儲層滲透率為0.05 mD時,忽略支撐劑非均勻分布計算出的產量高出實際值41.7%,因此在進行低滲透率儲層模擬時,支撐劑非均勻分布狀態不可忽略;當基質滲透率為5 mD時,產量計算差異在5%以內,此時不考慮支撐劑非均勻分布相對合理。

     

    Abstract: Proppant injection during hydraulic fracturing is to prevent the closure of hydraulic fractures. As a result, the distribution of proppant in the fracture impact the productivity to a great extent. In order to study the rule of proppant transportation and distribution in complex fracture network, and the influence of uneven proppant distribution on the exploitation dynamic characteristics, a full-coupled 3D finite element method calculation model for tight oil reservoir considering sand injection during hydraulic fracturing was established, based on several mathematical models proposed by the author in the past. In the model, a mixture model was utilized, which had advantages to deal with two-phase flow containing solid particles in dispersed phase, to simulate the proppant transportation process in fracture networks. Then, a tight oil reservoir model was established to evaluate the effect of the proppant distribution on the reservoir performance. The calculation results show that in the fracture network, proppant particles will accumulate at the fracture intersection, and the proppant concentration is higher than other parts of the fracture network. The height of proppant settlement dune in the secondary fracture is 25%–50% lower than that in the main fracture, and the communication of secondary fractures has enhanced the proppant settlement degree. Moreover, factors like injection velocity, proppant materials and proppant size are proved to have a strong relation to the average conductivity of fracture network, which could impact the fracture design considerably. Furthermore, the uneven distribution of proppant in fracture network has a great influence on the simulation results. When the reservoir permeability reaches 0.05 mD, the calculation results show that the height, without considering the uneven distribution, of proppant settlement is 41.7% higher than the actual value. Therefore, the uneven distribution of proppant cannot be ignored in the simulation of low permeability reservoir. However, when the matrix permeability is 5 mD, the difference between the actual and simulated result will be within 5%. Thus, it is reasonable to neglect the uneven distribution of proppant in estimations.

     

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