Proposing a modified mechanism for determination of hydrocarbons dynamic viscosity, using artificial neural network

Ahmadi, Shayan; Motie, Mohadeseh; Soltanmohammadi, Ramin

doi:10.1080/10916466.2020.1780256

Cited by 19 publications

(6 citation statements)

References 31 publications

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“…RBF neural network, as a three-layer feedforward artificial neural network, is widely used in function approximation, signal prediction and other fields [28][29][30][31] . Many experts and scholars compared it with BP neural network.…”

Section: Rbf Neural Networkmentioning

confidence: 99%

Failure analysis and prediction of roof instability in end face under repeated mining using early warning system

Kong

et al. 2023

Preprint

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The overlying strata of the lower coal seam is easy to be collapsed causing the roof caving accident at the end face of the mining working face under repeated mining in close-distance coal seams. In order to predict the roof instability of the end face, the mechanical model of the granular arch structure is established in this study to further analyze its main influencing factors. The results show that the mining height of the working face, the advancing speed, the distance of coal seams, the tip-to-face distance, the strength of the surrounding rock and the support setting the load of the support are the main influencing factors on the roof caving of the end face. Subsequently, the prediction model of roof instability in the end face under repeated mining is constructed through the radial basis function neural network (RBFNN) and the above main influencing factors are regarded as input layer indexes. Meanwhile, the roof subsidence, coal wall deformation and support load are determined as the output layer indexes. The predicted results are closer to the results of sample tests. Finally, the early warning system, including monitoring and early warning, data query, emergency management, user management, and system settings, is designed to monitor roof conditions of the end face and timely warn the roof accidents. The field application proves that the system has good practical value, which is of great significance to prevent the end face roof disaster under repeated mining.

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Section: Rbf Neural Networkmentioning

confidence: 99%

Failure analysis and prediction of roof instability in end face under repeated mining using early warning system

Kong

et al. 2023

Preprint

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“…Characterizing hydrate growth habits in fine-grained sediments is crucial for developing hydrate deposits. However, it is challenging to obtain high-saturation hydrates in fine-grained sedimentary sediments in the laboratory as those found in nature. In recent years, machine learning techniques (e.g., neural network, support vector machine, and Markov chain) have been widely used in the oil and gas industry to process geophysical data for pattern recognition or parameter prediction. − However, there are few applications in hydrate studies. Machine learning shows better generalization performance and compensates for gaps in researchers’ knowledge of physical laws.…”

Section: Challenges and Perspectivesmentioning

confidence: 99%

“…In recent years, machine learning techniques (e.g., neural network, support vector machine, and Markov chain) have been widely used in the oil and gas industry to process geophysical data for pattern recognition or parameter prediction. − However, there are few applications in hydrate studies. Machine learning shows better generalization performance and compensates for gaps in researchers’ knowledge of physical laws.…”

Section: Challenges and Perspectivesmentioning

confidence: 99%

Review and Outlook of Visual and Geophysical Detections for the Pore-Scale Morphology of Gas Hydrates

Liu,

Zhang,

2023

Energy Fuels

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“…To date, numerous researchers have performed true triaxial experiments on outcrops to investigate the behavior of hydraulic fracture propagation. Some studies [3][4][5][6][7][8][9][10] utilized outcrops consisting of sandstone and sand-coal inter-beds. The findings indicate that when the fracture propagation reaches the interface, the fracture either ceases growth, changes its propagation direction, bifurcates into multiple directions, or continues to propagate along the original path and penetrates the bedding interface.…”

Section: Introductionmentioning

confidence: 99%

Impact of Formation Dip Angle and Wellbore Azimuth on Fracture Propagation for Shale Reservoir

Yang

Wang

Ge³

et al. 2023

Processes

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The significant vertical heterogeneity, variations in ground stress directions, and irregular bedding interfaces make it extremely challenging to predict fracture propagation in continental shale reservoirs. In this article, we conducted a series of triaxial laboratory experiments on continental shale outcrop rocks to investigate the effects of formation dip angle and wellbore orientation on crack propagation under horizontal well conditions. Our study revealed that fracture propagation features can be categorized into four distinct types: (1) hydraulic fractures pass through the bedding interface without activating it; (2) fractures pass through and activate the bedding interface; (3) hydraulic fractures open and penetrate the bedding interface while also generating secondary fractures; and (4) hydraulic fractures open but do not penetrate the bedding interface. We found that as the dip angle decreases, the likelihood of fractures penetrating through the bedding interface increases. Conversely, as the dip angle increases, fractures are more likely to simply open the interface without penetrating it. Moreover, we observed that the well azimuth significantly affects the degree of fracture distortion. Specifically, higher azimuth angles corresponded to a higher degree of fracture distortion.

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Proposing a modified mechanism for determination of hydrocarbons dynamic viscosity, using artificial neural network

Cited by 19 publications

References 31 publications

Failure analysis and prediction of roof instability in end face under repeated mining using early warning system

Failure analysis and prediction of roof instability in end face under repeated mining using early warning system

Review and Outlook of Visual and Geophysical Detections for the Pore-Scale Morphology of Gas Hydrates

Impact of Formation Dip Angle and Wellbore Azimuth on Fracture Propagation for Shale Reservoir

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