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Technical Note: An inversion algorithm to estimate maximum and minimum horizontal stress based on field test data for sleeve fracturing

机译:技术说明:基于袖削压裂现场测试数据估计最大和最小水平应力的反演算法

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摘要

An algorithm is developed to estimate maximum and minimum horizontal stress using experimental data from sleeve fracturing experiments. The algorithm is developed by analyzing the crack initiation, propagation and interaction behavior between primary and secondary cracks based on the Finite Element Method with Cohesive Zone elements. Five key quantities can be obtained from data curves and comprise the basis of the algorithm in a manner consistent with an approximate model based on stress analysis around the borehole. The algorithm has been validated by 100 synthetic data cases covering various parameter combinations. Moreover, quantifying the degree of uncertainty in the stress prediction indicates strongest dependence on detecting when the borehole deformation from the first fracture(s) is impacted by growth of secondary fracture(s). Validity based on simulated data motivates new methods for high resolution strain sensing during sleeve fracturing especially for the purpose of accurately detecting secondary fracture initiation.
机译:开发了一种算法来估计来自袖压裂实验的实验数据的最大和最小水平应力。通过基于具有粘性区元件的有限元法分析初级和次级裂缝之间的裂缝启动,传播和相互作用行为来开发该算法。可以从数据曲线获得五个键量,并以与基于钻孔周围的应力分析的近似模型一致的方式基于算法。该算法已通过涵盖各种参数组合的100个合成数据案例验证。此外,量化应力预测中的不确定性程度表明,当来自第一裂缝的钻孔变形时受到二次骨折的生长时,对检测的最强依赖性是最强的。基于模拟数据的有效性使套筒压裂期间的高分辨率应变感测的新方法尤其是准确检测二次骨折启动的目的。

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