Estimation of drilling rate of diamond driller using rock properties and driller specifications

A. Yazitova; S. Yagiz

Estimation of drilling rate of diamond driller using rock properties and driller specifications

A. Yazitova
, S. Yagiz

Nazarbayev University

Nazarbayev University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The aim of this paper is to evaluation of the rock properties and driller specifications to estimate the rate of drilling (DR) for diamond drillers. To estimate the DR, raw data from 63 diamond drilling cases were collected and evaluated to obtain the dataset for the aim. Dataset has two parts; rock properties include uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), density (D) and brittleness (BI). Also driller specifications that is composed of thrust (Th), rotational speed rate (RPM) and bit diameter (BitD) herein. After dataset was constructed, simple, multiple linear and non-linear regression analyses were carried out to predict the DR. Concluding remark is that the estimation of DR are multiple nonlinear regression task to achieve the best model to predict the drilling rate of diamond driller. It is found that BI, D, Th, RPM and BitD have a great effect on the DR that can be estimated as a function of rock properties and driller specifications with correlation coefficient (r) of 0.89.

Original language	English
Title of host publication	ISRM International Symposium - EUROCK 2020
Editors	C.C. Li, H. Odegaard, A.H. Hoien, J. Macias
Publisher	International Society for Rock Mechanics
ISBN (Electronic)	9788282080729
Publication status	Published - Jun 2020
Event	ISRM International Symposium - EUROCK 2020 - Trondheim, Virtual, Norway Duration: Jun 14 2020 → Jun 19 2020

Publication series

Name	ISRM International Symposium - EUROCK 2020

Conference

Conference	ISRM International Symposium - EUROCK 2020
Country/Territory	Norway
City	Trondheim, Virtual
Period	6/14/20 → 6/19/20

Funding

The paper is produced from MSc thesis of first author. Authors are appreciated to Nazarbayev University for financial support via social policy grant of second author.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 17 Partnerships for the Goals

Keywords

Brittleness
Diamond drilling
Driller specification
Drilling rate
Rock properties

ASJC Scopus subject areas

Geochemistry and Petrology

Cite this

Estimation of drilling rate of diamond driller using rock properties and driller specifications. / Yazitova, A.; Yagiz, S.
ISRM International Symposium - EUROCK 2020. ed. / C.C. Li; H. Odegaard; A.H. Hoien; J. Macias. International Society for Rock Mechanics, 2020. (ISRM International Symposium - EUROCK 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yazitova, A & Yagiz, S 2020, Estimation of drilling rate of diamond driller using rock properties and driller specifications. in CC Li, H Odegaard, AH Hoien & J Macias (eds), ISRM International Symposium - EUROCK 2020. ISRM International Symposium - EUROCK 2020, International Society for Rock Mechanics, ISRM International Symposium - EUROCK 2020, Trondheim, Virtual, Norway, 6/14/20.

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title = "Estimation of drilling rate of diamond driller using rock properties and driller specifications",

abstract = "The aim of this paper is to evaluation of the rock properties and driller specifications to estimate the rate of drilling (DR) for diamond drillers. To estimate the DR, raw data from 63 diamond drilling cases were collected and evaluated to obtain the dataset for the aim. Dataset has two parts; rock properties include uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), density (D) and brittleness (BI). Also driller specifications that is composed of thrust (Th), rotational speed rate (RPM) and bit diameter (BitD) herein. After dataset was constructed, simple, multiple linear and non-linear regression analyses were carried out to predict the DR. Concluding remark is that the estimation of DR are multiple nonlinear regression task to achieve the best model to predict the drilling rate of diamond driller. It is found that BI, D, Th, RPM and BitD have a great effect on the DR that can be estimated as a function of rock properties and driller specifications with correlation coefficient (r) of 0.89.",

keywords = "Brittleness, Diamond drilling, Driller specification, Drilling rate, Rock properties",

author = "A. Yazitova and S. Yagiz",

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PY - 2020/6

Y1 - 2020/6

N2 - The aim of this paper is to evaluation of the rock properties and driller specifications to estimate the rate of drilling (DR) for diamond drillers. To estimate the DR, raw data from 63 diamond drilling cases were collected and evaluated to obtain the dataset for the aim. Dataset has two parts; rock properties include uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), density (D) and brittleness (BI). Also driller specifications that is composed of thrust (Th), rotational speed rate (RPM) and bit diameter (BitD) herein. After dataset was constructed, simple, multiple linear and non-linear regression analyses were carried out to predict the DR. Concluding remark is that the estimation of DR are multiple nonlinear regression task to achieve the best model to predict the drilling rate of diamond driller. It is found that BI, D, Th, RPM and BitD have a great effect on the DR that can be estimated as a function of rock properties and driller specifications with correlation coefficient (r) of 0.89.

AB - The aim of this paper is to evaluation of the rock properties and driller specifications to estimate the rate of drilling (DR) for diamond drillers. To estimate the DR, raw data from 63 diamond drilling cases were collected and evaluated to obtain the dataset for the aim. Dataset has two parts; rock properties include uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), density (D) and brittleness (BI). Also driller specifications that is composed of thrust (Th), rotational speed rate (RPM) and bit diameter (BitD) herein. After dataset was constructed, simple, multiple linear and non-linear regression analyses were carried out to predict the DR. Concluding remark is that the estimation of DR are multiple nonlinear regression task to achieve the best model to predict the drilling rate of diamond driller. It is found that BI, D, Th, RPM and BitD have a great effect on the DR that can be estimated as a function of rock properties and driller specifications with correlation coefficient (r) of 0.89.

KW - Brittleness

KW - Diamond drilling

KW - Driller specification

KW - Drilling rate

KW - Rock properties

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M3 - Conference contribution

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T3 - ISRM International Symposium - EUROCK 2020

BT - ISRM International Symposium - EUROCK 2020

A2 - Li, C.C.

A2 - Odegaard, H.

A2 - Hoien, A.H.

A2 - Macias, J.

PB - International Society for Rock Mechanics

T2 - ISRM International Symposium - EUROCK 2020

Y2 - 14 June 2020 through 19 June 2020

ER -

Estimation of drilling rate of diamond driller using rock properties and driller specifications

Abstract

Publication series

Conference

Funding

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this