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您的检索式：作者名="VELAYATI Arian"
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| 1 | 胶质气体泡沫基泡沫水泥体系显示文摘为了解决常规泡沫水泥存在的密度高、泡沫不稳定、抗压强度低、孔隙度高、有效期短等缺点,研发了一种新型的胶质气体泡沫(CGA)基泡沫水泥体系并进行性能评价。将CGA作为泡沫组分加入基浆,从优化粒度分布的角度考虑加入空心球和微硅石继续优化配方。通过孔隙度、渗透率、强度、脆性、弹性、自由水含量、泡沫稳定性和密度测试等评价CGA基泡沫水泥体系性能,实验结果表明:泡沫占比为10%时,水泥密度降到1040 kg/m3;水泥体系中形成了稳定的微泡网络结构且不受高温高压影响;最优CGA基泡沫水泥自由水含量为零,孔隙度为24%,渗透率为0.7×103μm^2,弹性模量低、泊松比高,抗压强度合理,表现出韧性特征,具有更强的弹性和柔性,可承受区域地应力。 | VELAYATI Arian ROOSTAEI Morteza RASOOLIMANESH Rasool SOLEYMANI Mohammad FATTAHPOUR Vahidoddin | 2019 | 石油勘探与开发2019，46，6： | 3 |
| 2 | Numerical investigation of the hydraulic fracturing mechanisms in oil sands显示文摘This paper presents a numerical investigation of hydraulic fracturing in oil sands during cold water injection by considering the aspects of both geomechanics and reservoir fluid flow.According to previous studies,the low shear strengths of unconsolidated or weakly consolidated sandstone reservoirs significantly influence the hydraulic fracturing process.Therefore,classical hydraulic fracture models cannot simulate the fracturing process in weak sandstone reservoirs.In the current numerical models,the direction of a tensile fracture is predetermined based on in situ stress conditions.Additionally,the potential transformation of a shear fracture into a tensile fracture and the potential reorientation of a tensile fracture owing to shear banding at the fracture tip have not yet been addressed in the literature.In this study,a smeared fracture technique is employed to simulate tensile and shear fractures in oil sands.The model used combines many important fracture features,which include the matrix flow,poroelasticity and plasticity modeling,saturation-dependent permeability,gradual degradation of the oil sands as a result of dilative shear deformation,and the tensile fracturing and shear failure that occur with the simultaneous enhancement of permeability.Furthermore,sensitivity analyses are also performed with respect to the reservoir and geomechanical parameters,including the apparent tensile strength and cohesion of the oil sands,magnitude of the minimum and maximum principal stress,absolute permeability and elastic modulus of the oil sands and ramp-up time.All these analyses are performed to clarify the influences of these parameters on the fracturing response of the oil sands. | Siavash Taghipoor Morteza Roostaei Arian Velayati Atena Sharbatian Dave Chan Alireza Nouri | 2021 | Underground Space2021，6，2： | 0 |
| 3 | Prediction of permeability from well logs using a new hybrid machine learning algorithm显示文摘Permeability is a measure of fluid transmissibility in the rock and is a crucial concept in the evaluation of formations and the production of hydrocarbon from the reservoirs.Various techniques such as intelligent methods have been introduced to estimate the permeability from other petrophysical features.The efficiency and convergence issues associated with artificial neural networks have motivated researchers to use hybrid techniques for the optimization of the networks,where the artificial neural network is combined with heuristic algorithms.This research combines social ski-driver(SSD)algorithm with the multilayer perception(MLP)neural network and presents a new hybrid algorithm to predict the value of rock permeability.The performance of this novel technique is compared with two previously used hybrid methods(genetic algorithm-MLP and particle swarm optimization-MLP)to examine the effectiveness of these hybrid methods in predicting the permeability of the rock.The results indicate that the hybrid models can predict rock permeability with excellent accuracy.MLP-SSD method yields the highest coefficient of determination(0.9928)among all other methods in predicting the permeability values of the test data set,followed by MLP-PSO and MLP-GA,respectively.However,the MLP-GA converged faster than the other two methods and is computationally less expensive. | Morteza Matinkia Romina Hashami Mohammad Mehrad Mohammad Reza Hajsaeedi Arian Velayati | 2023 | Petroleum2023，9，1： | 0 |
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