Confined compressive strength model of rock for drilling optimization

Xiangchao Shi , Yingfeng Meng , Gao Li , Jiaxue Li , Zuwen Tao , Shandong Wei

Petroleum ›› 2015, Vol. 1 ›› Issue (1) : 40 -45.

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Petroleum ›› 2015, Vol. 1 ›› Issue (1) :40 -45. DOI: 10.1016/j.petlm.2015.03.002
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Confined compressive strength model of rock for drilling optimization
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Abstract

The confined compressive strength (CCS) plays a vital role in drilling optimization. On the basis of Jizba's experimental results, a new CCS model considering the effects of the porosity and nonlinear characteristics with increasing confining pressure has been developed. Because the confining pressure plays a Fundamental role in determining the CCS of bottom-hole rock and because the theory of Terzaghi's effective stress principle is founded upon soil mechanics, which is not suitable for calculating the confining pressure in rock mechanics, the double effective stress theory, which treats the porosity as a weighting factor of the formation pore pressure, is adopted in this study. The new CCS model combined with the mechanical specific energy equation is employed to optimize the drilling parameters in two practical wells located in Sichuan basin, China, and the calculated results show that they can be used to identify the inefficient drilling situations of underbalanced drilling (UBD) and overbalanced drilling (OBD).

Keywords

Confined compressive strength / Drilling optimization / Rate of penetration / Mechanical specific energy

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Xiangchao Shi, Yingfeng Meng, Gao Li, Jiaxue Li, Zuwen Tao, Shandong Wei. Confined compressive strength model of rock for drilling optimization. Petroleum, 2015, 1(1): 40-45 DOI:10.1016/j.petlm.2015.03.002

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Acknowledgments

The work is Supported by the Open Fund (Number: PLN1421) of State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University, SWPU Science & Technology Fund (Number: 2013XJZ029), Sichuan Youth Science & Technology foundation (Number: 2014JQ0045), and Natural Science foundation of China (Number: 51134004).

References

[1]

A.T. Bourgoyne, F.S. Young, A multiple regression approach to optimal drilling and abnormal pressure detection, Soc. Pet. Eng. J. 14 (4) (1974) 371-384.

[2]

T.M. Warren, Penetration rate performance of roller cone bits, SPE Drill. Eng. 2 (1) (1987) 9-18.

[3]

R.A. Cunningham, An empirical approach for relating drilling parameters, J. Pet. Technol. 30 (7) (1978) 987-991.

[4]

R. Teale, The concept of specific energy in rock drilling, Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 2 (1) (1965) 57-73.

[5]

M. Armenta,Identifying inefficient drilling conditions using drilling-specific energy, in:Paper SPE-116667 Presented at SPE Annual Technical Conference and Exhibition, 21e24 September 2008 (Denver, Colorado, USA).

[6]

H. Caicedo, W. Calhoun, R. Ewy,Unique ROP predictor using bit-specific coefficient of sliding friction and mechanical efficiency as a function of confined compressive strength impacts drilling performance, in:Paper SPE-SPE-92576 Presented at SPE/IADC Drilling Conference, 23e25 February 2005 (Amsterdam, Netherlands).

[7]

F. Dupriest, W. Koederitz,Maximizing drill rates with real-time surveillance of mechanical specific energy, in: Paper SPE 92194 Presented at 2005 SPE Drilling Conference, 23e25 February 2005 (Amsterdam, The Netherlands).

[8]

S. Edalatkhah, R. Rasoul, A. Hashemi, Bit selection optimization using Artificial Intelligence Systems, Pet. Sci. Technol. 28 (18) (2010) 1946-1956.

[9]

R.C. Pessier, M.J. Fear,Quantifying Common drilling problems with mechanical specific energy and bit-specific coefficient of sliding friction, in: Paper SPE 24584 Presented at the 67th Annual Technical Conference and Exhibition, October 4, 1992 (Washington, DC).

[10]

R. Waughman, J. Kenner, R. Moore,Real-time specific energy monitoring reveals drilling inefficiency and enhances the understanding of when to pull worn PDC bits, in:Paper SPE-74520 Presented at the IADC/SPE Drilling Conference, 26e28 February 2002 (Dallas, Texas).

[11]

P.R. Rampersad, G. Hareland, P. Boonyapaluk,Drilling optimization using drilling data and available technology, in:Paper SPE-27034 Presented at the SPE Latin America/Caribbean Petroleum Engineering Conference, 27e29 April 1994 (Buenos Aires, Argentina).

[12]

J.R. Spaar, L.W. Ledgerwood, H. Goodman, R.L. Graff, T.J. Moo,Formation compressive strength estimates for predicting drillability and PDC bit selection, in:Paper SPE-29397 Presented at SPE/IADC Drilling Conference, 28 February-2 March 1995 (Amsterdam, Netherlands).

[13]

W. Calhoun, New Confined Compressive Strength Calculation Improves Bit Selection and Bit Performance, In:Paper AADE-05-NTCE-61 Presented at AADE 2005 National Technical Conference and Exhibition, 5-7, Houston Texas).

[14]

R.A. Cunningham, J.G. Eenink, Laboratory study of effect of overburden, formation and mud column pressures on drilling rate of permeable formations, in: Paper SPE-1094-g Presented at AIME, 217, 1959, pp. 9e17.

[15]

A.J. Gamier, N.H. Van Lingen, Phenomena affecting drilling rates at depth, in: Paper SPE-1094-g Presented at AIME, 216, 1959, p. 232.

[16]

W. Maurer, Bit-tooth penetration under simulated borehole conditions, J. Petroleum Technol. 17 (12) (1965) 1433-1442.

[17]

D.J. Vidrine, E.J. Benit, Field verification of the effect of differential pressure on drilling rate, J. Pet. Technol. 20 (7) (1968) 676-682.

[18]

T.M.Warren, M.B. Smith, Bottomhole stress factors affecting drilling rate at depth, J. Pet. Technol. 37 (8) (1985) 1523-1533.

[19]

M. You, Comparison of the accuracy of some conventional triaxial strength criteria for intact rock, Int. J. Rock Mech. Min. Sci. 48 (5) (2011) 852-863.

[20]

Nur A M, Mavko G M, Dvorkin J M, Gal D M. Critical porosity: The key to relating physical properties to porosity in rocks[C]. Paper SEG-1995- 0878 Presented at 1995 SEG Annual Meeting, 8-13 October, Houston, Texas.

[21]

D.L. Jizba, Mechanical and Acoustical Properties of Sandstones and Shales, Stanford University, Department of Geophysics, School of Earth Sciences, 1991.

[22]

M. Schwaab, E.C. Biscaia Jr. J. L. Monteiro, J.C. Pinto, Nonlinear parameter estimation through particle swarm optimization, Chem. Eng. Sci. 63 (6) (2008) 1542-1552.

[23]

K. Terzaghi, Theoretical Soil Mechanics, 1943.

[24]

R.E. Goodman, Introduction to Rock Mechanics, John Wiley& Sons, 1980.

[25]

L. Chuanliang, Double effective stresses of porous media, Chines J. Nat. 21 (5) (1999) 288-292.

[26]

A.B. Eaton, Graphical method predicts geopressures worldwide, World Oil 183 (1976) 51-56.

[27]

V.C. Kelessidis, Rock drillability prediction from in situ determined unconfined compressive strength of rock, J. South. Afr. Inst. Min. Met. 111 (6) (2011) 429-436.

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