2020
DOI: 10.1016/j.fuel.2020.117950
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Characterizing hydraulic and natural fractures properties in shale oil well in Permian basin using assisted history matching

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Cited by 21 publications
(12 citation statements)
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“…The secondary pores are formed after the formation of the shale. They are mainly fractures/microfractures formed as a result of the stress change during tectonic movement and uplift or dissolution by the underground fluid. , The factures formed by stress change are generally vertical, therefore, they can be easily distinguished from the interlaminar fractures . More details of the pore classification are included in Table , which is modified from Jiang et al by adding more information.…”
Section: Shale Mineralogy Pore Structure and Fluid Propertiesmentioning
confidence: 99%
“…The secondary pores are formed after the formation of the shale. They are mainly fractures/microfractures formed as a result of the stress change during tectonic movement and uplift or dissolution by the underground fluid. , The factures formed by stress change are generally vertical, therefore, they can be easily distinguished from the interlaminar fractures . More details of the pore classification are included in Table , which is modified from Jiang et al by adding more information.…”
Section: Shale Mineralogy Pore Structure and Fluid Propertiesmentioning
confidence: 99%
“…In addition, the longitudinal fluid flow inside the fracture channels follows the cubic law of parallel plates considering an initial fracture The proxy model of the KGD problem was built using several hydraulic fracturing numerical models based on the governing equations presented in Section 2. The Latin hypercube method generated 1000 sample points combining the geomechanical parameters investigated in the inverse analysis: Young's modulus 𝐸, tensile strength 𝜎 𝑡 , in situ compressive stress 𝜎 𝑜 , and rock permeability 𝑘. Tripoppoom et al [43][44][45][46] and Kohler et al 60 also employed this technique to build proxy models.…”
Section: Numerical Model and Dataset Generationmentioning
confidence: 99%
“…The Latin hypercube method generated 1000 sample points combining the geomechanical parameters investigated in the inverse analysis: Young's modulus E , tensile strength σt${\sigma _t}$, in situ compressive stress σo${\sigma _o}$, and rock permeability k . Tripoppoom et al 43–46 . and Kohler et al 60 .…”
Section: Parameter Identification Applicationmentioning
confidence: 99%
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“…In recent years, shale oil has become an essential source of energy. 1 Owing to their low porosity, compactness, and no natural productivity, 2 shale reservoirs are developed and increased production using technologies like horizontal wells and multi-stage fracturing. Currently, an oil field in eastern China is vigorously developing shale oil 3 and increasing well productivity through fracturing.…”
Section: Introductionmentioning
confidence: 99%