1. Implementation Drilling with Casing ROP Optimization with Multi Regression Mathematical Model in KHALDA co. Fields in the Western Desert, Egypt.
- Author
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Ibrahim, Mostafa, El Fakharany, Taher, Farhat, Mohamed S., and Maher, Mohamed
- Subjects
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CASING drilling , *OIL well drilling , *GAS well drilling , *DRILL stem , *MATHEMATICAL models - Abstract
Casing While Drilling (CWD) technique allows the operator to simultaneously drill and case a wellbore section in only one run without the necessity to pull the drill string out of the hole. This innovative technology comes into play in a time when oil and gas well drilling faces a lot of challenges such as excessive lost circulation, formation fluid influx, formation instability, etc. CWD is implemented into today's drilling activities in order to safely and economically deal with these obstructive challenges. In addition to eliminating/minimizing the effects of these challenges, it remarkably improves the entire economics of the drilling project. Researches and developments are continuously on their way to further improve the performance of the technique in order to minimize its limitations. A lot of case studies all over the world have been analyzed and their related practical lessons have been stated. Based on this paper is about evaluating the drilling with casing ROP optimization model of the drilling parameters to surface hole section drilling of vertical wells by a statistical-regression model using the linear equation analysis technique. The model will be evaluated by deriving the unknown proportionality constant and five exponents utilizing the statistical - regression curve of the least-squares fitting method. The prepared field data used from (ASCII) drilling parameters to three drilled wells in two fields (X, Y) in KHALDA Company. Then, the model's equation will be a regression with respect to five of the independent parameters which are a weight on bit (WOB), drill string rotation (RPM), standpipe pressure (SPP), torque, impact force (IF) and rate of penetration (ROP). Then it will be evaluated over a range of values for these parameters. The parametric study presents KHALDA two field data based on ROP model development and testing with near and far way field wells. Two different modeling approaches have been implemented, and their application and limitations have been tested. ROP optimization procedures are also developed with the objective of increasing ROP, reducing drilling time and hence reducing drilling costs. By Integrated model for the field data, we can compromise with a new well in the different location taking into account any deviation in geological lithology or depth, etc. will make a change in the predicted data then we can predicate the percentage of success according to the optimization of the drilling parameters and best practices to drilling team. Finally, it is recommended that the model can be applied in the oil well drilling industry in different oil wells fields rather than the vertical wells used in this paper. [ABSTRACT FROM AUTHOR]
- Published
- 2020