Petroleum. Confined compressive strength model of rock for drilling optimization

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1 Petroleum 1 (2015) 40e45 Contents lists available at ScienceDirect Petroleum journal homepage: Original article Confined compressive strength model of rock for drilling optimization Xiangchao Shi a, *, Yingfeng Meng a, Gao Li a, Jiaxue Li b, Zuwen Tao a, Shandong Wei a a State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, China b Tarim Oilfield CNPC, Korla, Xinjiang, China article info abstract Article history: Received 29 January 2015 Received in revised form 15 March 2015 Accepted 16 March 2015 Keywords: Confined compressive strength Drilling optimization Rate of penetration Mechanical specific energy 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). Copyright 2015, Southwest Petroleum University. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license ( 1. Introduction The confined compressive strength (CCS) is one of the most important parameters for drilling optimization, bit selection, and prediction for the rate of penetration (ROP). A large number of ROP models presented in the literature have considered the effect of the rock strength on ROP such as Bourgoyne and Young's model [1], the roller-cone-bit model presented by Warren [2], and Cunningham's ROP model [3]. In addition, Teale [4] introduced the concept of the minimum specific energy and derived the specific energy equation for rotary drilling. He concluded that drilling attains the highest performance when the specific energy approaches, or is approximately equal to, the compressive strength of the rock to be drilled. Then, the concept of the * Corresponding author. address: sxcdream@163.com (X. Shi). Peer review under responsibility of Southwest Petroleum University. Production and Hosting by Elsevier on behalf of KeAi CCS of rock and the specific energy are employed extensively to optimize the drilling parameters and to assess the bit performance [5e10]. The uniaxial compressive strength (UCS) has been used widely for drilling optimization and ROP prediction for a long time before some drill-bit experts realized that the use of UCS is somewhat problematic because the apparent strength of the rock in the downhole is apparently different from Ref. UCS [6,11e13]. Some researchers discovered that the bit performance is greatly influenced by the differential pressure which is defined as the difference between the borehole and pore pressures. After conducting a laboratory test, they found that the rock strength increases as the differential pressure increases, and ROP decreases as the borehole pressure increases [14e18]. Considering the factors above, Rampersad [11] employed a power function in his CCS model to describe the relationship between the rock strength and the confining pressure, and Caicedo [6,13] proposed a CCS model based on the Terzaghi effective stress principle and MohreCoulomb strength theory. The models proposed by the scholars above have a significant effect on engineering, but the lack of consideration of the influence of the porosity on the rock strength and the inapplicability of the Terzaghi effective stress principle to rock limit the utility of these models /Copyright 2015, Southwest Petroleum University. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (

2 X. Shi et al. / Petroleum 1 (2015) 40e45 41 Fig. 1. Fitting curves of the strength and confining pressure for different rock types. In this paper, a new CCS model is proposed that considers the effects of the porosity and the nonlinear characteristics of the compressive strength as the confining pressure is increased. Moreover, the double effective stress theory is suggested to calculate the confining pressure of the bottom hole. 2. Review of classical CCS models for drilling optimization The most widely used CCS model is based on the linear rock strength criterion expressed as follows: s 1 ¼ Q þ Ks 3 (1) where K and Q are the parameters of the material, s 1 is the CCS, and s 3 is the minimum principal stress. On the basis of this criterion, Caicedo [6] proposed a model to calculate the rock strength at the bottom of a well, which is expressed as s 1 ¼ UCS þ 4 P h P p þ 2 Ph P p sin (2) 1 sin 4 where 4 is the rock angle of internal friction, Pp is the pore pressure, and P h is the mud column pressure. The linear relationship between the maximum and minimum principal stresses of rock has been widely used in engineering, but it cannot be applied to describe the nonlinear behavior detected by many researchers. As shown in Fig. 1 [19], the fitting results indicate that the strength growth rate decreases as the confining pressure increases; thus, a nonlinear model is available to describe the relationship between the rock strength and the confining pressure. 3. A new CCS model The porosity of rock not only has a significant influence on the elasticity parameters but also plays an important role in the rock strength. The load-bearing capacity of a rock sample changes as the porosity changes. Nur et al. [20] presented the concept of critical porosity and found that the skeleton barely has any significant carrying capacity when the porosity is greater than the critical porosity, and the fluid is responsible for load bearing. When the porosity is less than the critical porosity, load bearing shifts to skeleton. The test results for sandstone data adopted from Jizba [21] for different porosities are shown in Fig. 2, which clearly shows the nonlinearity in the rock strength for different porosities of sandstone. The value of s 1 s 3 decreases nonlinearly as the porosity of sandstone increases. The relationship between the porosity and the stress deviator of sandstone at different confining pressures can be expressed as s 1 s 3 ¼ CCS 0 expð f mþ (3) where m is a material parameter, f is the porosity, and CCS 0 confined compressive strength when the porosity is zero. The fitting results of the stress deviator versus porosity are summarized in Table 1, and the exponential equation in Eq. (3) can describe this relationship quite well because R 2 is relatively high. Considering the influence of the porosity, an empirical CCS model is proposed for rock subjected to triaxial loads and is expressed as s 1 s 3 ¼ UCS 0 1 þ as b 3 expð f cþ (4) where UCS 0 is the uniaxial compressive strength when the porosity is zero, and a, b, and c are material parameters. A particle swarm optimization algorithm [22] was used to obtain a, b, and c, and the results are a ¼ 0.21, b ¼ 0.49, and c ¼ Fig. 3 presents the calculated results using Eq. (4) and the strength measured in situ. One can see that the predicted results exhibit great agreement with the measured results. 4. Calculation of the confining pressure at the bottom hole A laboratory study on the drilling rate of a permeable formation was carried out by Cunningham et al. [14], and a phenomenon in which the drilling rate decreases as the mud column pressure increases was observed. They explained that the Table 1 Fitting results of the porosity and differential stress using Eq. (3). s 3 (MPa) Fitting results R 2 Fig. 2. Porosity versus peak stress at different confining pressures. 0 s 1 s 3 ¼ exp( 10.19f) s 1 s 3 ¼655exp( 9.702f) s 1 s 3 ¼ 890exp( 7.742f) s 1 s 3 ¼ 924exp(-6.52f) 0.73

3 42 X. Shi et al. / Petroleum 1 (2015) 40e45 Fig. 3. CCS predicted using Eq. (4) versus the measured differential stress for a variety of sandstones (s 1c is calculated). assumption. He concluded that the cater volume decreases by approximately 50% when the borehole pressure is nearly equal to the formation pore pressure from 0 psi to 5000 psi. In other words, the effective stress theory is problematic for calculating the confining pressure of the bottom hole. Practical data from a well located in the Lianhuashan structure of the Sichuan basin also refutes the assumption. In this case, air drilling was applied to a depth from 2500 to 2800 m, and the pore and bottom-hole pressures are 30e32 MPa and 2 MPa, respectively. As a consequence, the differential pressure is 28 to 30 MPa using Eq. (6), which greatly surpasses the tensile strength of sandstone (the tensile strength of most sandstones is less than 20 MPa [24]). Considering above examples, it can be concluded that the assumption cannot be directly used in underbalanced drilling (UBD) and air drilling. The effective stress of saturated soil calculated by Terzaghi's expression has enough precision, but it is not suitable in rock mechanics. As shown in Fig. 4, the structure of soil is greatly different from the structure of rock, and the effective stress acting upon the skeleton of soil can be described by Eq. (7). However, for rock material, the total force on an area A is expressed by As, and the force of the pore fluid is fap p because the area to which the pore pressure is applied is fa. Then, the effective stress acting on the rock material can be calculated as follows [25]: Fig. 4. (a) Soils with contact points and (b) rock with interconnected pores. increasing mud column pressure leads to an increase in the rock strength. They also pointed out that the formation pressure (or the pore pressure) was another main factor that influences the drilling rate. As a result, many researchers employed the effective stress theory proposed by Terzaghi [23] to describe the effect of the confining pressure on rock the strength, written as s eff ¼ s P p (5) where s is the total stress. On the basis of the principle, the difference in the mud column pressure and the formation pressure constitutes the main influencing factor on the drilling rate, and this difference is called the differential pressure P d ¼ P h P p (6) The differential pressure is usually assumed to be approximately equal to the confining pressure of the triaxial strength test by many scholars [6], [12], [13]; however, the bit-tooth penetration test conducted by Maurer [16] challenged this s P eff ¼ As AfP p A ¼ s fp p (7) According to the double effective stress developed by Chuanliang [25], porous media have two types of deformation mechanisms: (1) the deformation of the skeleton grains leads to medium deformation called primary deformation [Fig. 5(a)], and (2) the change in the spatial structure leads to medium deformation called structural deformation [Fig. 5(b)]. Primary deformation can be described by Eq. (7), and the calculated results are called the primary effective stress. As for structural deformation, one can use structural effective stress s s eff ¼ s f c P p (8) where f c is the rock contacts porosity, which depends on the degree of cementation. The contact porosity is greater than the primary porosity and smaller than one, i.e., f < f c < 1. For a loose medium, f c / 1, and for dense rock, f c / f. The boundary between the permeability and the impenetrability of rock is invalid when the double effective stress theory is adopted because the porosity of rock contributes to the effective stress in Eq. (7) and Eq. (8). Thus, it is more reasonable to calculate the confining pressure of the bottom hole by the double effective stress than Eq. (6). For example, the results calculated from Eq. (6) and Eq. (7) are shown in Fig. 6 when the depth of a well is 3000 m, the porosity is 10%, the density of the formation fluid is 1.0 g/ mm 3, and the densities of the drilling fluid (r) are assumed to be Fig. 5. Deformation of rock.

4 X. Shi et al. / Petroleum 1 (2015) 40e45 43 Fig. 6. Calculated results using Eq. (6) and Eq. (7). Fig. 8. Founder point of the bit weight. 1.6 g/mm 3, 1.4 g/mm 3, 1.2 g/mm 3, 1.0 g/mm 3, 0.6 g/mm 3, and 0.4 g/mm 3. It can be concluded that the differential pressure is negative according to Terzaghi's expression when the density of the formation fluid is less than that of the drilling fluid; when the density of the drilling fluid is 0.4 g/mm 3, the differential pressure is 18 MPa, in other words, the rock of the bottom hole was loaded with an e18 MPa tensile load. In contrast, the calculated result using the primary effective stress is compressive and equal to 9 MPa. According to the experimental values, the uniaxial compressive strength of rock is 10e15 times its tensile strength, and an e18 MPa tension stress does not obviously exist. The double effective stress theory is highly recommended to calculate the confining pressure of the bottom hole for both UBD and overbalanced drilling (OBD), as it can better explain the test data [16]. The value of the differential pressure P d can be less than zero when the drilling-fluid density is extremely low, such as in air drilling, but it has no significant effect on the rock strength because the value of s fp p is small. As a result, UCS can be used in air drilling. Considering all of the observations and explanations above, the final model for calculating the rock strength of the bottom hole can be written as s 1 ¼ UCS 0 1 þ a b P h fp p expð f cþ (9) E s ¼ W A b þ 120$p$N$T A b $ROP (10) where W is the weight on the bit, A b is the borehole area, N is the rotary speed, and T is the bit torque. He found that the minimum specific energy is reached when the specific energy approaches, or is roughly equal to, the compressive strength of the rock to be drilled: E s ¼ E smin zs 1 (11) After the concept of the mechanical specific energy was proposed, it has been used to evaluate the drilling efficiency and bit performance [7,9]. According the theory, E s is equal to the rock's compressive strength at perfect efficiency, but the energy for crushing rock is not sufficient when E s is much greater than s 1. The main reasons for this phenomenon are improper drilling operation parameters or drilling problems such as bit balling, vibrations, bit bulling, and bottom-hole balling. In order to calculate T easily, a bit-specific coefficient of sliding friction m was introduced to express T as a function of W by Pessier et al. [9]: T ¼ m d bw 36 (12) 5. Application Teale [4] presented an equation to calculate the mechanical specific energy for rotary drilling in 1965, expressed as where d b is the bit size. The substitution of Eq. (12) into Eq. (10) yields 1 E s ¼ W þ 13:33$m$N A b d b $ROP (13) Fig. 7. E s, N, ROP, and W as a function of the depth in the well.

5 44 X. Shi et al. / Petroleum 1 (2015) 40e45 Fig. 9. E s, N, ROP, and W as a function of the depth in well 2. The field operation and logging data of a well in the western Sichuan basin are employed to calculate s 1 and E s by using Eq. (9) and Eq. (13). The porosity of rock as function of increasing depth was provided by the logging engineer. The pore pressure data were predicted according to Eaton [26]: 3 Dtn P p ¼ P obs ðp obs P h Þ (14) Dt o where P obs is the overburden pressure (rocks and fluids), Dt n is the normal sonic travel time, and Dt o is the observed sonic travel time (log data). UCS is estimated from Ref. [27]. UCS ¼ 0:00069$V 1:385 p (15) where V p is the sonic velocity. E s, s 1, ROP, N, and W as a function of the depth from 3100 m to 3900 m for rock mainly consisting of sandstones are shown in Fig. 7. The results indicate that both E s and s 1 increase as the depth increases, and E s is less than s 1 when the drilling depth is less than 3460 m. In other words, drilling is efficient. However, E s is greater than s 1 when the drilling depth is greater than 3460 m. This also illustrates that ROP does not always increase as the bit weight increases. When the bit weight increases within region A in Fig. 7, ROP decreases, and E s increases, which means the energy added by increasing the bit weight is inefficient. The point at which ROP stops increasing as the bit weight increases is referred as the founder point [7]. From Fig. 8, the founder point of the well field test is approximately 250 KN. It can be concluded that the CCS model presented in this article can be used to optimize the drilling parameters. The values of E s, s 1, ROP, N, and W as a function of the depth of another well also located in the Sichuan basin are plotted in Fig. 9. The drilling model is UBD, which differs from previous one, and the coefficient of formation and the mud density are 1.1e1.3 g/cm 3 and 1.0 g/cm 3, respectively. As shown in Fig. 9, s 1 has very little significant variation as a function of depth, mainly owing to the limited depth obtained from field, and the phenomena of decreasing ROP and increasing E s as the depth increases indicate bit wear or bit balling. E s is much less than s 1 between 2100 m and 2340 m, which means that UBD is very efficient in this formation. However, ROP is comparatively low, and E s is very high in regions A and B compared to other drilling parameters. Therefore, one can conclude that this phenomenon was mainly caused by the increase in the bit weight and the decrease in the rotary speed. After these parameters were adjusted, the efficiency of drilling greatly improved. 6. Conclusion 1. According to Jizba's experimental data, a new CCS model considering the influence of the porosity is proposed. The nonlinear feature of the rock strength as the confining pressure increases is accurately described by the model. 2. The double effective stress theory, which treats the porosity as a weighting factor of the formation pore pressure, is introduced to calculate the confining pressure. 3. Combined with the mechanical specific energy equation, the new CCS model can be used to indicate the inefficiency of a drilling situation and optimize the drilling parameters. 4. The proposed model is suitable for both OBD and UBD, and UCS is recommended for use under air-drilling conditions. 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: ). Nomenclature a, b, c material parameters A area of action force A b borehole area CCS confined compressive strength CCS 0 confined compressive strength when the porosity is zero d b bit size E s mechanical specific energy

6 X. Shi et al. / Petroleum 1 (2015) 40e45 45 m material parameter N rotary speed K, Q parameters of the material Pp pore pressure P d differential pressure P h mud column pressure. P obs overburden pressure (rocks and fluids) ROP rate of penetration T bit torque UCS uniaxial compressive strength UCS 0 uniaxial compressive strength when the porosity is zero V p sonic velocity W weight on the bit s total stress. s 1 maximum principal stress s 3 minimum principal stress s eff effective stress 4 rock angle of internal friction f porosity f c rock contacts porosity, s P eff primary effective stress s s structural effective stress eff m bit-specific coefficient of sliding friction Dt n normal sonic travel time Dt o observed sonic travel time (log data). 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) 371e384. [2] T.M. Warren, Penetration rate performance of roller cone bits, SPE Drill. Eng. 2 (1) (1987) 9e18. [3] R.A. Cunningham, An empirical approach for relating drilling parameters, J. Pet. Technol. 30 (7) (1978) 987e991. [4] R. Teale, The concept of specific energy in rock drilling, Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 2 (1) (1965) 57e73. [5] M. Armenta, Identifying inefficient drilling conditions using drilling-specific energy, in: Paper SPE 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 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 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) 1946e1956. [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 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 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 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 Presented at SPE/IADC Drilling Conference, 28 Februarye2 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, 5e7, April 2005 (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 [16] W. Maurer, Bit-tooth penetration under simulated borehole conditions, J. Petroleum Technol. 17 (12) (1965) 1433e1442. [17] D.J. Vidrine, E.J. Benit, Field verification of the effect of differential pressure on drilling rate, J. Pet. Technol. 20 (7) (1968) 676e682. [18] T.M. Warren, M.B. Smith, Bottomhole stress factors affecting drilling rate at depth, J. Pet. Technol. 37 (8) (1985) 1523e1533. [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) 852e863. [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 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, [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) 1542e1552. [23] K. Terzaghi, Theoretical Soil Mechanics, [24] R.E. Goodman, Introduction to Rock Mechanics, John Wiley& Sons, [25] L. Chuanliang, Double effective stresses of porous media, Chines J. Nat. 21 (5) (1999) 288e292. [26] A.B. Eaton, Graphical method predicts geopressures worldwide, World Oil 183 (1976) 51e56. [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) 429e436.

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