DRILLING HYDRAULICS OPTIMIZATION SOFTWARE

Hopefully, this work can be included in a software system which can be used in drilling planning and real-time operation of oil and gas wells in the related field that can result in decreasing Non Productive Time. Therefore, the result of this work shows the potential of a neural network approach to model the hydraulic behavior in a well. The drilling performance prediction and optimization methods based on MSE technologies could be effectively used to maximize ROP and allow operators to drill longer and avoid unnecessary trips, and is worthy to be applied and promoted with highly diagnostic accuracy, effective optimizing and simple operation. The Drilling Hydraulics provides to driller, tool pushers, engineers, chemists, students and other professionals in the petroleum industry a productivity. Following the determination of the optimum model the sensitivity analysis of input parameters on the created model was investigated, an overall ranking of sensitivity degree was then provided to show the impact of each individual input parameter on this model. Under the drilling fluid formulation optimization design model, the AV, PV, FLAPI, and R of the drilling fluid (40 mPa s, 37.0 mPa s, 4.2 mL, and 85.0, respectively) are treated as the target performance parameters of this drilling fluid.

This model can accurately predict pump pressure versus depth in similar formations. The Drilling Hydraulics provides the driller, tool pushers, drilling engineers, chemists, students and other professionals in the petroleum industry a productivity tool helpful in drilling of oil wells for hydraulics calculations, optimization of the penetration rate and can help on the decision on selection of bit nozzles. Throughout this particular study, an Artificial Neural Network model was implemented through the fitting tool of MATLAB. Job Description - Drilling Supervisor Drilling Rig on Pre-Installed Piles and Modules for shallow water depth Example Calculation 9. Reliable prediction of pump pressure provides an early warning of circulation problems, washout, underground blowout, and kicks helping the driller to make corrections and to safely avoid major problems. Recent studies observe drilling optimization in real-time, however, among the investigated references, there is no practice working with pump pressure prediction by considering formation variables such as depth and independent parameters like Revolutions Per Minute (RPM), Hook Load.

Drilling hydraulics optimization