Impact of Drilling Parameters on Cost of Oil Well in Monitoring and Control System

Abstract

In the past, several methods have been proposed and used in evaluating drilling cost and complexity because of the numerous number of factors and events that affect drilling performance, which makes it precarious to construct predictive models. Ascertaining the cost of drilling and complexity is challenging sequel to restrictions on data collection and availability, constraint related to modelling or combination of these factors. In most cases, drill rates are often not recorded and constrained by factors that are not within the control of drilling personals are made primary by oil companies. Different specialized skills and talents are essential to drilling an oil well safely and economically. The simulator used for the purpose of this work has a voltage input of between 220v to 230v with an output of zero to five volts with various channels that can either increases or decreases pulses received from the sensors for onward transmission to the Data Acquisition System. The Simulator has embedded sensors for HOOKLOAD, SPP, RPM, MD, ROP, WOB, ECD and MSE. This paper aims at studying and analysing the associated drilling parameters with respect to time, and to run a comparative analysis of simulated events and regression model software values by adopting mathematical model of multiple regression that transform into programming techniques for predicting the total cost drilling oil well. Visual Basic Net programming language (front-end) and Microsoft Access Database relational database management (back-end) were used in the research work for the experimental study. The implemented software has a performance accuracy of 92%. The data base series explained that higher the drill depth there exist high cost of drilling due to impact of drilling parameters associated with the oil well