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Field Drilling Data Cleaning And Preparation For Data Analytics Applications, Daniel Cardoso Braga
Field Drilling Data Cleaning And Preparation For Data Analytics Applications, Daniel Cardoso Braga
LSU Master's Theses
Throughout the history of oil well drilling, service providers have been continuously striving to improve performance and reduce total drilling costs to operating companies. Despite constant improvement in tools, products, and processes, data science has not played a large part in oil well drilling. With the implementation of data science in the energy sector, companies have come to see significant value in efficiently processing the massive amounts of data produced by the multitude of internet of thing (IOT) sensors at the rig. The scope of this project is to combine academia and industry experience to analyze data from 13 different …
The Development Of A Pore Pressure And Fracture Gradient Prediction Model For The Ewing Banks 910 Area In The Gulf Of Mexico, Jeffrey Steven Fooshee
The Development Of A Pore Pressure And Fracture Gradient Prediction Model For The Ewing Banks 910 Area In The Gulf Of Mexico, Jeffrey Steven Fooshee
LSU Master's Theses
The purpose of this project is to develop a pore pressure and fracture gradient prediction strategy for the Ewing Banks 910 (EW 910) area. Petrophysical and measured pressure data for eight wells previously drilled in the EW 910 area will be examined and reviewed. This strategy will help design future drilling and completion operations in the aforementioned area. Two pore pressure prediction strategies and one fracture gradient prediction strategy will be reviewed and applied to the available data. The first pore pressure prediction strategy reviewed was developed by W. R. Matthews. This strategy utilizes a geologic age specific overlay which …