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

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 tech...

全面介紹

Saved in:
書目詳細資料
主要作者: Ahmed Sheriff Nasser, Pervez
格式: Thesis
語言:English
出版: 2012
在線閱讀:http://utpedia.utp.edu.my/3484/1/Pervez_Ahmed_Sheriff_Nasser.pdf
http://utpedia.utp.edu.my/3484/
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結: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.