REAL TIME RATE OF PENETRATION, PREDICTION AND OPTIMIZATION DURING DRILLING OPERATIONS

• Main Author: Ahmed Sheriff Nasser, Pervez
• Format: Thesis
• Language: English
• Published: 2012
• Online Access: http://utpedia.utp.edu.my/3484/1/Pervez_Ahmed_Sheriff_Nasser.pdf; http://utpedia.utp.edu.my/3484/

Real time rate of penetration, prediction, and optimization during drilling operations targets to optimize weight on bit, bit rotation speed and flow rate for achieving maximum drilling rate and minimizing the drilling cost. Drilling optimization process is done by multiple linear regression technique which is a statistical method. From the actual field data which are collected from the data recording systems and modern well monitoring, a model is developed to predict the rate of penetration as a function of available parameters. At each data point, for effective functions general rate of penetration equation is optimized. Computer network is needed to be established to optimize the parameters in the field, which directly from the data source keep the piped data, and also be collecting the new data continuously to be fed. Central computer has a database that will be calculating the developed model parameters by means of multiple regression technique and inform the team at the field. Real-time optimization process is carried out when the field engineer transmits the present drilling parameters to the central computer, the headquarters will determine the new model parameters as well as optimum drilling parameters with recently received information and send back to central computer in real time. In real-time environment, drilling rate of penetration can be modeled as a function of independent drilling variables such Weight on bit, rotation speed of the string, flow rate, and formation characteristics. The process is formation specific, and in real-time capability to have rate of penetration plotted against the depth with certain parameters can give a new vision to the nature drilling optimization studies. Also in real-time, any relevant difference between the actual rate of penetration trend and predicted rate of penetration can give valuable hint which will be recognized beforehand. From this study optimized independent drilling parameters are determined using non-linear regression analysis. This process is considered to use in future drilling activities on wide range as will be reducing the drilling costs and minimize of probability of encountering problems.