Pinned Repositories
deeplearning
Deep Learning class projects from Kagle. All projects are individual projects conducted by me using pyhton (keras, tensor-flow, matplotlib and other libraries). Different Deep Neural Network (DNN) methods were used and results were compared based one efficiency and accuracy. Results and conclusions based on results were reported.
Onshore-Condensate-Well-Network-Deisgn
This is advanced production design class project conducted by team of Azad Almasov (me), Tasansu Ozdogan, Cristian Nunez about well network design of the onshore gas condensate reservoirs to optimize flow assurance.
Solving_linear_differential_equation_as_inverse_problem_using_numerical_optimization
In this project, inverse problem was solved to find parameters of first derivative equation using numerical optimization methods. Matlab is used for coding.
Wellbore_Stability
This is class project I conducted as team leader. I developed Matlab code to calculate the wellbore stability considering Mohr-Columb failure criteria in gemomechanical calculations. Example cases was studied using the code and based on results conclusions about wellbore stability during drilling was reached.
almasovAzad's Repositories
almasovAzad/Wellbore_Stability
This is class project I conducted as team leader. I developed Matlab code to calculate the wellbore stability considering Mohr-Columb failure criteria in gemomechanical calculations. Example cases was studied using the code and based on results conclusions about wellbore stability during drilling was reached.
almasovAzad/Onshore-Condensate-Well-Network-Deisgn
This is advanced production design class project conducted by team of Azad Almasov (me), Tasansu Ozdogan, Cristian Nunez about well network design of the onshore gas condensate reservoirs to optimize flow assurance.
almasovAzad/deeplearning
Deep Learning class projects from Kagle. All projects are individual projects conducted by me using pyhton (keras, tensor-flow, matplotlib and other libraries). Different Deep Neural Network (DNN) methods were used and results were compared based one efficiency and accuracy. Results and conclusions based on results were reported.
almasovAzad/Solving_linear_differential_equation_as_inverse_problem_using_numerical_optimization
In this project, inverse problem was solved to find parameters of first derivative equation using numerical optimization methods. Matlab is used for coding.