Abstract

One of the criteria in the operational efficiency of drilling is the rate of penetration of the drill bit. Numerous factors affect the rate of penetration. Identification of the effective factors on rate of penetration may lead to a more accurate assessment of drilling time, and as a result, the controlling of operational costs. The concurrent effect of the entire influential factors as well as the differing significance of each of them on the rate of penetration makes the study and optimization of drilling operations much more complicated and difficult. Using the rock engineering systems (RES), the impact of effective operational and geomechanical factors on the rate of penetration has been assessed in this article and a model has been proposed for the prediction of the rate of penetration. Data from one of the wells within the Azadegan oilfield have been used in order to study the impact of effective factors on the rate of penetration. To this end, the effective factors on rate of penetration are initially identified and then an index called “the rate of penetration index (ROPi)” is proposed through the application of the rock engineering systems approach. This index has been calculated at four different depths along the aforementioned well. The results suggested the compliance of penetration rate predictions with field observations. Moreover, porosity and uniaxial compressive strength are the most effective factors on the rate of penetration whereas the weight of drilling fluid has the smallest impact. Finally, a classification for the penetration rate index is presented.

Highlights

  • Hydrocarbon reservoirs are considered one of the main energy generating resources in the world

  • The results showed that feed, rotation, rock mass index and iron oxide percent have an important effect on penetration rate

  • It is necessary to identify the entire effective factors derived from various drillings in order to predict the rate of penetration

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Summary

Introduction

Hydrocarbon reservoirs are considered one of the main energy generating resources in the world. Rock properties such as the uniaxial compressive strength, the rock quality designation, and the equipment operational parameters like bit load and rotation are considered They stated that through the use of the models, the ­penetration rate of diamond drilling can be predicted ­effectively. Deng et al 2016 developed a new prediction model of the rate of penetration considering the combined effect of the main drilling parameters and rock dynamic compressive strength. They claimed that the introduced model is different from others because it replaces the rock static strength with rock dynamic strength and can imitate the real process of rock dynamic crushing by a roller cone bit. Focusing on one of the wells in Iran’s Azadegan oilfield as a case study, a model for ­estimating the penetration rate using RES method is ­presented

Rock engineering systems approach
Case study
Estimation of the rate of penetration index
Conclusions
Full Text
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