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B. Akbari, S. Miska, M. Yu, M. Ozbayoglu (2014)
Experimental Investigations of the Effect of the Pore Pressure on the MSE and Drilling Strength of a PDC Bit
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A. Bourgoyne, M. Chenevert, K. Millheim, K. Millheim, A. Bourgoyne, M. Chenevert (1986)
Applied Drilling Engineering
F. Shirkavand, G. Hareland, B. Aadnøy (2009)
Rock Mechanical Modelling For A Underbalanced Drilling Rate Of Penetration Prediction
Hai Ma (2011)
Formation drillability prediction based on multi-source information fusionJournal of Petroleum Science and Engineering, 78
H. Rahimzadeh, M. Mostofi, A. Hashemi, K. Salahshoor (2010)
Comparison of the Penetration Rate Models Using Field Data for One of the Gas Fields in Persian Gulf Area
A. Paiaman, M. Al-Askari, Barat Salmani, B. Al-Anazi, M. Masihi (2009)
Effect of Drilling Fluid Properties on Rate of Penetration, 60
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Introduction to neural networks using MATLAB 6.0
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askari Effect of Drilling Fluid Properties on Rate of Penetration Nafta ScientificJournal
W. Winters, T. Warren, E. Onyia (1987)
Roller Bit Model With Rock Ductility and Cone OffsetSoftware - Practice and Experience
S. Kahraman, C. Balci, S. Yazici, N. Bilgin (2000)
Prediction of the penetration rate of rotary blast hole drills using a new drillability indexInternational Journal of Rock Mechanics and Mining Sciences, 37
D. Tiab, E. Donaldson (1996)
Petrophysics: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties
W. Somerton, F. Esfandiari, A. Singhal (1969)
Further Studies of the Relation of Physical Properties of Rock to Rock Drillability
M. Ameen, B. Smart, J. Somerville, Sally Hammilton, N. Naji (2007)
Predicting rock mechanical properties of carbonates from wireline logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia)Marine and Petroleum Geology, 26
B. Eaton (1975)
The Equation for Geopressure Prediction from Well Logs
B. Walker, A. Black, W. Klauber, T. Little, M. Khodaverdian (1986)
Roller-Bit Penetration Rate Response as a Function of Rock Properties and Well DepthSoftware - Practice and Experience
Mohannad Al-Muhailan, Iqbal Hussain, H. Maliekkal, O. Ghoneim, P. Nair, M. Fayed (2013)
New HTHP Cutter Technology Coupled with FEA-Based Bit Selection System Improves ROP by 60% in Abrasive Zubair Formation
F. Fernandez-ibanez, Felipe Cardona, M. Holland, E. Araujo, M. Brudy, J. Alvarellos, L. Ordonez, D. Mateus (2010)
3D Geomechanical Modeling for the Apiay and Suria Oil Fields (Llanos Orientales Basin, Colombia): Insights on the Stability of Reservoir-Bounding Faults
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Further Studies of the to Relation of Physical Properties of Rock to Rock Drillability In Drilling and RockMechanics Symposium
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Correlating sound velocity with the density, compressive strength and Young's modulus of carbonate rocksInternational Journal of Rock Mechanics and Mining Sciences, 41
Babatunde (2011)
Investigation of the Effects of Vibration Frequency on Rotary Drilling Penetration Rate Using Diamond Drag Bit In th Geomechanics SymposiumRock Mechanics
D. Howarth (1987)
The effect of pre-existing microcavities on mechanical rock performance in sedimentary and crystalline rocksInternational Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 24
R. Cunningham, J. Eenink (1959)
Laboratory Study of Effect of Overburden, Formation and Mud Column Pressures on Drilling Rate of Permeable FormationsTransactions of the AIME, 217
E. Onyia (1988)
Relationships Between Formation Strength, Drilling Strength, and Electric Log PropertiesSoftware - Practice and Experience
M. Afsari, M. Ghafoori, M. Roostaeian, A. Haghshenas, A. Ataei, R. Masoudi (2009)
Mechanical Earth Model (MEM): An Effective Tool for Borehole Stability Analysis and Managed Pressure Drilling (Case Study)
J. Pallant (2007)
SPSS survival manual : a step-by-step guide to data analysis using SPSS version 15
Y. Babatunde, S. Butt, J. Mølgaard, F. Arvani (2011)
Investigation of the Effects of Vibration Frequency On Rotary Drilling Penetration Rate Using Diamond Drag Bit
Prasad (2009)
Drillability of a Rock in Terms of its Physico - Mechanical and Micro - Structural Properties In rd th Canada RockRock Mechanics Symposium Mechanics Symposium, 4
A. Bourgoyne, F. Young (1974)
A Multiple Regression Approach to Optimal Drilling and Abnormal Pressure DetectionSociety of Petroleum Engineers Journal, 14
K. Qiu, N. Cheng, Xiangui Ke, Yang Liu, Lirong Wang, Yingru Chen, Yong Wang, Pi Xiong (2013)
3D Reservoir Geomechanics Workflow and Its Application to a Tight Gas Reservoir in Western China
S. Haykin (1998)
Neural Networks: A Comprehensive Foundation
Rong Li, Yu Chengjin, Zhou Yunzhang, Liang Zhiping (2012)
An Integrated Approach to Improve Drilling Performance and Save Cost in North Azadegan Field
U. Prasad (2009)
Drillability of a Rock In Terms of Its Physico-Mechanical And Micro-Structural Properties
(1950)
Factors Affecting the Rate of Penetration of Rock Bits
G. Hareland, A. Wu, B. Rashidi (2010)
A Drilling Rate Model for Roller Cone Bits and Its Application
B. Tiryaki (2008)
Application of artificial neural networks for predicting the cuttability of rocks by drag toolsTunnelling and Underground Space Technology, 23
G. Famini, C. Penski, L. Wilson (1992)
Using theoretical descriptors in quantitative structure activity relationships: Some physicochemical propertiesJournal of Physical Organic Chemistry, 5
T. Warren, M. Smith (1985)
Bottomhole stress factors affecting drilling rate at depthJournal of Petroleum Technology, 37
Shirkavand (2009)
Rock Mechanical Modelling for a Underbalanced Drilling Rate of Penetration Prediction In rd th Canada RockRock Mechanics Symposium Mechanics Symposium, 4
Chandong Chang, M. Zoback, A. Khaksar (2006)
Empirical relations between rock strength and physical properties in sedimentary rocksJournal of Petroleum Science and Engineering, 51
J. Rodgers, W. Nicewander, David Blouin (1988)
Thirteen ways to look at the correlation coefficientThe American Statistician, 42
Clare Duklet, T. Bates (1980)
An Empirical Correlation To Predict Diamond Bit Drilling RatesSoftware - Practice and Experience
B. Elahifar, G. Thonhauser, R. Fruhwirth, A. Esmaeili (2012)
ROP Modeling using NeuralNetwork and Drill String Vibration Data
E. Hoover, J. Middleton (1981)
Laboratory evaluation of PDC drill bits under high speed and high wear conditions
J. Spaar, L. Ledgerwood, H. Goodman, R. Graff, T. Moo (1995)
Formation Compressive Strength Estimates for Predicting Drillability and PDC Bit SelectionDistributed Computing
H. Basarir, L. Tutluoglu, C. Karpuz (2014)
Penetration rate prediction for diamond bit drilling by adaptive neuro-fuzzy inference system and multiple regressionsEngineering Geology, 173
R. Andrews, G. Hareland, R. Nygaard, T. Engler, B. Virginillo (2007)
Methods of Using Logs to Quantify Drillability
P. Collins (2002)
Geomechanics And Wellbore Stability Design Of An Offshore Horizontal Well, North Sea
Gianluca Bontempi, H. Bersini, M. Birattari (2001)
The local paradigm for modeling and control: from neuro-fuzzy to lazy learningFuzzy Sets Syst., 121
Jeff Heaton (2008)
Introduction to neural networks for C
S. Gstalder, J. Raynal (1966)
Measurement of Some Mechanical Properties of Rocks And Their Relationship to Rock DrillabilityJournal of Petroleum Technology, 18
Fjaer (2008)
Petroleum Related Rock ndMechanics
M. Bataee, Seyed Mohseni (2011)
Application of Artificial Intelligent Systems in ROP Optimization: a Case Study
M. Bataee, M. Kamyab, Rahman Ashena (2010)
Investigation of Various ROP Models and Optimization of Drilling Parameters for PDC and Roller-cone Bits in Shadegan Oil Field
Jincai Zhang (2011)
Pore pressure prediction from well logs: Methods, modifications, and new approachesEarth-Science Reviews, 108
M. Villalobos, M. Frydman, Daniel Casalis, Alexander Ramirez, C. Leon, E. Villalba (2005)
3D Analysis for Wellbore Stability: Reducing Drilling Risks in Oriente Basin, Ecuador
R. Gholami, A. Moradzadeh, V. Rasouli, J. Hanachi (2014)
Practical application of failure criteria in determining safe mud weight windows in drilling operationsJournal of rock mechanics and geotechnical engineering, 6
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Archives of Mining Sciences – de Gruyter
Published: Mar 1, 2017
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