A Multiple Regression Approach to Optimal Drilling and Abnormal Pressure Detection

Abstract

The constant al primarily represents the effect of formation strength on penetration rate. It is inversely proportional to the natural logarithm of the square of the drillability strength parameter discussed by Maurer. 2 It also includes the effect on penetration rate of drilling parameters that have not yet been mathematically modeled; for example, the effect of drilled solids.

Hands-on approach to groundwater system investigation: suggestions for new use of existing characterization tools

“…It is defined in several ways, according to the manufacturing company concerned, and is commonly known in English as MWD (monitor while drilling) (Burgoyne, Young 1974;Borgia et al 1990;Sacchetto, Melander et al 2001).…”

A Model to Predict the Performance of Drilling Operation Using SVM Approach in One of the Iranian Oilfields

“…Thus, by analyzing field data, using the predictive model, and subsequently evaluating and correcting the useful parameters, a dramatic increase in the efficiency of the drilling operations and, reduction of costs can be achieved [1][2][3][4][5][6][7].The higher the penetration rate, the higher the speed of drilling a well, resulting in a time reduction, which ultimately leads to a reduction in the total cost of the operation. Therefore, to become the optimal drilling operation, there should be an assessment and proper prediction of drill penetration rate.…”

“…Thus, the structural properties and reservoir depth are the most influential factors in the rate of rock penetration; in respect of the way, as the depth increases, the formations become harder and the penetration rate decreases. Moreover, due to the depth of the wells in the oil fields of Iran, the assessment of the penetration rate is of importance [8][9][10][11][12][13][14][15].…”

Effect of Rock Properties on ROP Modeling Using Statistical and Intelligent Methods: A Case Study of an Oil Well in Southwest of Iran

“…In order to time management and drilling process optimization, obtaining a model which could accurately define the relationship between ROP and affecting environmental factors is very important. Various parameters have influence on ROP simultaneously which could be classified into operational and environmental parameters (Bourgoyne & Young, 1974). Operational or controllable factors are manipulated by human factors.…”

“…Since nearly five decades ago, the necessity of optimizing the drilling operations was felt and several ROP models have been proposed (Bourgoyne & Young, 1974;Hareland & Rashidi, 2010;Walker et al, 1986;Winters et al, 1987). This models were widely used, however, only some affecting factors have been considered in the mentioned models.…”