Theoretical Definition of Formation Damage Zone With Applications to Well Stimulation

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M. Nunes North Fluminense State University, Lenep, Brazil; Halliburton P. Bedrikovetsky B. Nebery Australian School of Petroleum, University of Adelaide R. Paiva North Fluminense State University, Lenep, Brazil C. Furtado A. L. de Souza Theoretical Definition of Formation Damage Zone With Applications to Well Stimulation Flo of particulate suspension in porous media ith particle retention and consequent permeability reduction is discussed. Using analytical model for suspension injection via single ell, the permeability damage zone size as defined and expressed by transcendental equation. Analysis of field data shos that usually the size of damaged zone does not extend more than m beyond the injector. The definition of damage zone size is used for design of ell stimulation via deposition removal. DOI: 0.5/.400800 Keyords: formation damage, injectivity, ell stimulation, analytical model, acidizing Petrobras, Brazil Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received November 6, 008; final manuscript received March, 00; published online June 3, 00. Assoc. Editor: Faruk Civan. Introduction Deposition of solid phase and retention of particles from the moving fluids during flo in porous media result in permeability decline. In the petroleum industry, it happens in almost all processes of oil production: injection of sea or produced ater ith solid or liquid particles causes decline of injectivity, invasion of drilling fluid into formation rock yields decreased return permeability, and precipitation of salts in the near ell region causes ell index decline,3. The above mentioned phenomena, called formation damage, can seriously impact on the economics of field development. The retention and deposition phenomenon occurs also in disposal of industrial astes, geothermal poer production, and in several environmental and chemical engineering processes 4,5. Different ell stimulation technologies are used for damage removal and mitigation: acidizing, perforation, solvent, or inhibitor injection. Optimal planning of ell stimulation requires knoledge of the deposit proximity relative to the ellbore,. Area of solid phase retention and deposition can be found from mathematical modeling, field data, or laboratory tests. Yet, a theoretical definition of the size of the formation damage zone, to the best of our knoledge, is not available in the literature. In the current ork, e concentrate on ell index decline during injection of seaater or produced ater, hich is a idespread phenomenon in aterflooding field projects. Solid and oily particles are captured by rock from the injected fluid resulting in permeability decline. The traditional model for particulate suspension in porous media consists of mass balance for suspended and retained particles, equation of particle capture kinetics, and modified Darcy s la accounting for permeability decline due to particle retention 5 0. The problem of axisymmetric injection into clean bed allos for analytical solution,. The model contains to phenomenological parameters filtration and formation damage coefficients. The parameters can be found from either laboratory coreflood tests or ell injectivity history by solving the inverse problems 5. Several micromodels for injectivity decline have been derived for pore scale: population balance equations 6,7, random alk models 8 0, and numerical netork models,4. The traditional model for deep bed filtration can be derived from microscale only for the case of monodispersed suspensions 7. In the current ork, e define size of formation damage zone using an analytical model for axisymmetric suspension flo in porous media. This size can be found from transcendental equation. It as shon that the formation damage size has an order of magnitude of the mean distance of deposition from the ell. Calculations sho that, ith the exception of very lo filtration coefficient cases, the damaged size almost alays does not exceed m. The defined damaged zone size is proposed for application in the design of ell acidizing and perforation. Some field cases presented sho that in successful applications, the amount of injected acid has the same order of magnitude as that calculated by the proposed method. The structure of this paper is as follos. The formulation of the problem for defining the formation damage zone size for the purposes of ell stimulation design is presented in Sec.. Section 3 contains basic equations for suspension flo in porous media folloed by Sec. 4 ith the analytical solution for axisymmetric flo. The derivation of formation damage zone radius and the calculation results are presented in Sec. 5. Section 6 discusses applications of the damage size definition in ell stimulation design. Formulation of the Problem Well efficiency is expressed by ell index, hich is defined as the ratio beteen the rate and pressure drop beteen the ell and surrounding contour. For the case of axisymmetric flo around injection ell, the ell injectivity index can be determined from the steady state solution of flo equation,. Journal of Energy Resources Technology Copyright 00 by ASME SEPTEMBER 00, Vol. 3 / 0330-

Fig. Retention of particles in rock during suspension injection q II = = k p p c ln R. c r The normalized reciprocal to injectivity index is called impedance, II t = o q t = op t J t = = II t p t =0 q t, p = p p c. and is also used for formation damage description,5. Decrease of injectivity index. corresponds to an increase in impedance. Consider the injection of sea, produced, or any poor quality ater into oil reservoir. The injected ater contains suspended solid and liquid particles. The particles are captured in rock during the injected ater flo. Figure shos the particle retention in porous space. The retention is caused by different physics mechanisms: size exclusion, molecular and electric attraction, gravity segregation, and diffusion Fig.. The cross sectional area perpendicular to the fluid flo is proportional to r Fig. 3 a; therefore, remote deposition results in less ell damage than that near to the ellbore. The retained particle concentration gradually decreases from injection sand face deep into the reservoir Fig. because the probability for particle to be captured is proportional to its trajectory length. Therefore, the effect of particle retention on ell index decreases ith radius. So, beyond some radius, the influence of any retained particles on ell index is negligibly small. This radius is defined as the size of formation damage zone. Consider the injection of acid or solvent in order to remove deposition. Assume that the applied chemical reacts ith the particle matter and results in a complete removal of a particle. Generally speaking, full restoration of the initial injectivity is achieved under the removal of all retained particles. Yet, deposition takes place throughout the overall sept zone. Thus, the problem is to determine penetration radius such that particle removal from this zone ill lead to restoration of the bulk of injectivity. Fig. media Different particle retention mechanisms in porous Fig. 3 Propagation of suspended and retained concentration profiles from injection to producing ell. a Location of injector and producer; ell, damaged, and contour radii. b Profiles of suspended and retained concentrations. Similarly, damaged open-hole injector can be stimulated through perforation. The problem is to determine a hole length such that perforation bypasses the damaged zone and restores the initial ell injectivity. 3 Mathematical Model for Axisymmetric Flo of Suspensions in Porous Media The system of governing equations for radial transport of suspensions in porous media consists of equations of mass balance for suspended and deposited particles, kinetics of particle captured by matrix, and modified Darcy s la momentum balance equation 6,7. Assuming incompressibility of carrier ater and additive volumetric la of particle mixing ith ater yields to the folloing form of continuity equation for axisymmetric flo c t + q c r r = 3. t here c and are the concentrations of suspended and retained particles, respectively, is the porosity, and q is the volumetric ater flo rate. Particle capture rate is proportional to advective particle flux cu ith coefficient of proportionality, t = Uc 3. here U=q/ r is the linear velocity of carrier ater and is the filtration coefficient. The filtration coefficient is equal to the probability of a particle being captured by the matrix per unit of the particle trajectory 7,7. Since the only characteristic of the capture mechanism, used in the analysis, is the capture probability, formula 3. is valid for any combination of capture mechanisms. Modified Darcy s la accounts for permeability decrease due to retained particles and residual oil near the injection ell, U = k 0k ror p 3.3 + r here is the viscosity of injected aqueous suspension, p is the pressure, and k 0 is the initial permeability of retained-particle-free porous media. Permeability decrease due to retained particles depends on the captured particle concentration and on the formation 0330- / Vol. 3, SEPTEMBER 00 Transactions of the ASME

damage coefficient. Decrease of absolute permeability for ater under the presence of residual oil yields the multiplier k ror. Let us introduce dimensionless radial coordinate, time, suspended and captured concentrations, pressure, and filtration coefficient: = r R c, =, T = S = c 0, R c 0 = R c t q d, C = c c 0, 3.4 here c 0 is the concentration of particles in the injected suspension, and R c is the contour radius, hich is equal to the halfdistance beteen injection and production ells Fig. 3. Through substitution of dimensionless variables 3.4 into the system, the governing equations 3. 3.3 for dimensionless coordinates and parameters take the forms C T + C = S T S T = C 3.5 = P +c 0 S The assumption that the capture rate is independent of pressure yields to the separation of the first and second equations from the third equation, i.e., the system of to equations ith unknon suspended and retained concentrations can be solved separately from the equation for pressure P,T. Injection of ater ith constant particle concentration c 0 into a clean bed results in the folloing initial and boundary conditions: T =0:C = S =0, = :C = 3.6 Here the constant concentration boundary condition is set on the sand face of the injection ell, here corresponds to ell radius r. 4 Analytical Solution for Injection Into a Single Well The system of first and second equations of Eq. 3.5 subject to initial and boundary conditions 3.6 can be solved using method of characteristics, alloing for explicit expressions for suspended and retained concentrations,,5, C,T = e, + T 0, + T 4. =e T +, + T 0, + T 4. Figure 3 b shos the profiles of both concentrations for a fixed time. The suspended and retained concentrations equal zero ahead of the injected ater front = +T. The suspended concentration decreases from c 0 at the injection ell don to some positive value on the ater front. The retained concentration decreases from some positive value at the injector don to zero at the injected ater front. Figure 4 shos the trajectory of the front = +T. Coordinates = and = corresponds to injection ell and contour, respectively. Fig. 4 Propagation of concentration front in plane of dimensionless distance and time, T Let us calculate the pressure drop beteen the injection ell and the contour. Expressing pressure gradient from Eq. 3.5 results in P = P +c 0 d = d = ln + c0 d 4.3 Substitution of formula for retained particle concentration into the previous expression yields P = ln + c0 +T e T + d 4.4 Let us substitute a ne variable y= into the integral in +T d = Tey ei y e y ei T e y e T T + e y e y y + e y e T 4.5 Expression 4.5 contains six terms. Let us evaluate them. We consider volumes of injected ater that highly exceed the ell volume, so y T, ei y ei T 4.6 alloing the second term in brackets of the right hand side of Eq. 4.5 to be neglected hen compared ith the first term. For the same reason, the folloing inequality holds: e T e y T y 4.7 So, the third term in brackets of Eq. 4.5 can be neglected if compared ith the fourth term. The fourth term is equal to T /y. For the typical values r =0. m, R c =00 m, T=, and = /m it is equal to 07, alloing the sixth term in Eq. 4.5 unity to be neglected hen compared ith the fourth term. Using the same values, y T= 00 leading to the folloing inequality: e y e T 4.8 The fifth term in Eq. 4.5 can be neglected if compared ith unity. Finally, integral in Eq. 4.5 takes the form Journal of Energy Resources Technology SEPTEMBER 00, Vol. 3 / 0330-3

Fig. 5 Comparison beteen formation damage zone size and mean distance to particle deposit +T d = T e y ei y + T y 4.9 resulting in the final expression for pressure drop beteen the injector and the contour +T d d d T d 5. P = ln + T c 0 e r ei r + r 4.0 The first term in Eq. 4.0 corresponds to the case here deposition is yet to take place T=0. The second term is entirely responsible for permeability damage and is called the skin factor,, P = ln + Sk 4. From Eq. 4.3 accounting for Eqs. 4.4 and 4.0 follos a formula for the skin factor, Sk T = c0 +T d = T c 0 e r ei r + r 4. here is a small number representing the proportion of skin to remain. The number is a small parameter shoing the accuracy of the assumption, that particle retention outside the damaged zone does not cause the injectivity impairment. From Eq. 5. it follos that the skin factor, caused by particles retained outside the neighborhood of r d, is negligibly small. Formula 5. can be simplified d +T d T d 5. Calculation of the integral in numerator of Eq. 5. repeats derivations 4.3 4.5, 5 The Damaged Zone Radius In this section, e define size of formation damage zone ith injection of suspended particles and compare it ith the mean distance to the deposited particles. 5. Definition of the Damaged Zone Radius. Let us define the formation damage zone ith a radius r d such that if all particles from the r d neighborhood of the ell are removed, the skin factor ill almost vanish. From Eq. 4. follos the definition of damaged zone size, d +T d = T e r ei r d ei R c e Rc T T R c T + e r d r d + e r e R c T e r e r d 5.3 Estimates 4.6 4.8 remain the same, i.e., first and fourth terms in Eq. 4.5 remain significantly larger than the other four terms. Finally, inequality 5. takes the form 0330-4 / Vol. 3, SEPTEMBER 00 Transactions of the ASME

Fig. 6 Schema of perforation of damaged open-hole ell and estimation of the hole length ei r d + e r d r d 5.4 ei r + e r r For a given, the formation damage zone size r d can be determined from equality 5.4 by numerically solving the transcendental equation. 5. Estimates of Damaged Zone Radius. The results of calculation of damaged zone size have been performed for =0. and =0.0. Figure 5 presents plots of r d versus dimensionless filtration coefficient for both cases. Here it as assumed that the ell radius r =0. m. Abscissa axis has a logarithmic scale. The plots sho that values of the damaged zone size for =0. and =0.0 almost coincide for large values of filtration coefficient, 0 /m. The values of r d vary significantly for lo values of filtration coefficient, /m. The reference value of mean particle penetration during deep bed filtration is / 7,. The curve r=r +/ is labeled in Fig. 5 by r d. The curve almost coincides ith r d -curve for =0. for large values of filtration coefficient,.6 /m. The case of 0 /m covers almost all cases of laboratory coreflood tests. For these cases, formula r d =/ can be used to estimate the damaged zone radius. The case of.6 /m covers almost all field cases of ell injectivity,5. For these cases, formula r d =/ can be used to estimate the damaged zone radius for =0.. If for some reasons 99% of initial injectivity must be restored by ell stimulation, equality 5.4 must be applied for =0.0. Yet, a fe cases of lo filtration coefficient, /m, have been reported for high-rate injection ells,3. In these cases, equality 5.4 must be applied for =0. and =0.0. 6 Applications of Damaged Zone Size Definition The proposed definition of formation damage zone radius can be used for estimates of perforation length and in design of ell acidification. 6. Sizing of Perforation Holes. Consider an open-hole injector damaged by sea or produced ater injection. One of the ell stimulation options is perforation of the ell Fig. 6. The perforation hole must bypass the damaged zone in order to restore the initial value of ell injectivity index or even to increase it. Therefore, the perforation hole depth must exceed the damaged zone radius r d. This estimate can be also useful in situation here the injectors ith open-hole completion ere used at the beginning of aterflooding, and subsequent injectors ere perforated. The filtration coefficient can be determined from injectivity history of other open-hole ells and applied for design of perforated ells in the same reservoir. Bedrikovetsky et al. 5 presented the filtration coefficient value as calculated from the injectivity decline history =0 / m. The corresponding perforation length is equal to /=0. m. For another value =.6 /m reported in Ref. 3, the perforation length is /=0.6 m. 6. Estimate of Acid Volume for Well Stimulation. The costs associated ith the acidification treatment are very high for long horizontal ells due to both the volume of acid required and long shut-in time during acid injection. Thus, it is important to accurately determine the necessary volume of injected acid in order to remove the damage. The optimal amount of injected acid depends on reactivity beteen the acid and retained particles and beteen the acid and the reservoir rock, by the cost of ell shut-don period, by economic evaluation of acid treatment efficiency, etc. So, different criteria for acid treatment design do exist. To the best of our knoledge, the mathematical model accounting for the above mentioned factors and alloing optimization of the process by economic criterion is not available from the literature. Yet the proposed criterion of damaged zone radius for estimation of the necessary acid volume may give a correct order of magnitude for an optimal acidification. In the case here the acid composition as already selected, it may be used for acid volume determination. Therefore, in order to validate the proposed criterion, belo e compare the damaged zone size ith acid seep radius for the case of successful acid treatments. Consider the injection of acid volume V, V = r d 6. per unit of ell length, here r d is determined by skin removal criterion 5.4. Using =0. in Eq. 5.4 results in the removal of 90% of the skin factor, and using =0.0 causes the removal of 99% of the damage. So, the proposed criterion for acid volume 6. assumes the damaged zone seep by acid. Let us validate the proposed criterion by comparison ith the field cases. Figure 7 presents the impedance groth during ater injection into giant Brazilian high permeability deep-ater sandstone reservoir Campos basin and the impedance fall after the acidizing. Impedance groth corresponds to injectivity index decline see Eq... In this field, ell injectivity decreased 0 5 times during 5 years of aterflooding. As is presented in Fig. 7, acidizing in the late 998 completely restored the initial injectivity index. The amount of injected acid as 50 gal/ft, hich corresponds to a penetration radius of.5 m for porosity =0.3. The filtration coefficient as calculated from impedance groth curve is 0.6 /m. The lo value of filtration coefficient is explained by high rock permeability and high injection rates in this field. The value =0.6 /m corresponds to r d =0.7 m and r d =.6 m for =0. and 0.0, respectively. So, the successful acidizing took place under seeping of damaged zone by injected acid, hich validates the proposed criterion. Figure 8 shos the injectivity index decline at the ell from the aterflooded shallo sandstone field Brazil, Campos basin ; it shos that the injectivity index increases after the acidizing. The applied acidizing as considered to be successful injectivity after the second ell treatment as even higher than that after the first treatment. The filtration coefficient as calculated from the injectivity decline curve after first acidizing: the filtration coefficient =6.5 /m. The damage radii are r d =0.3 m and r d =0.4 m for =0. and 0.0, respectively. The amount of injected acid as 70 gal/ft, hich corresponds to a penetration radius of.4 m; i.e., the acid penetration depth exceeds the radius r d of the damaged zone. Again, the seep area radius exceeded the damaged zone size, hich validates the criterion 6.. Journal of Energy Resources Technology SEPTEMBER 00, Vol. 3 / 0330-5

Fig. 7 Impedance increase during aterflooding and full restoration of initial injectivity after acidizing 7 Summary and Discussion Analytical model for suspension transport in porous media for axisymmetric flo allos defining the radius of formation damage zone. An implicit formula for damaged zone size has been derived. The damaged zone radius is a function of filtration coefficient. Since the filtration coefficient can be calculated from the ell injectivity history, the damaged radius can be also estimated. The definition of the radius of formation damage zone can be used for estimation of perforation length for damaged open-hole injection ells. Using the proposed criteria to estimate the acid volume is in agreement ith several field cases here the successful treatment used higher acid volumes than that calculated from damaged zone radius. The proposed method for determining the formation damage zone size ith criterion for ell stimulation design can be applied for other formation damage areas here either analytical or numerical models for permeability reduction process have been developed: sulfate scaling in production ells, carbonate scaling in injection ells, fine migration during either production of heavy Fig. 8 The case of successful damaged ell acidizing 0330-6 / Vol. 3, SEPTEMBER 00 Transactions of the ASME

oils or exploitation of poorly consolidated reservoirs, drilling mud invasion into oil bearing formations, ater disposal into aquifers, potable ater production from artesian ells, and damage removal during geothermal energy production 5,3. References Civan, F., 006, Reservoir Formation Damage (Fundamentals, Modeling, Assessment, and Mitigation), nd ed., Gulf, Houston, T, p. 74. Schechter, R. S., 99, Oil Well Stimulation, Prentice-Hall, Engleood Cliffs, NJ, p. 60. 3 Tiab, D., and Donaldson, E. C., 996, Petrophysics Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties, Gulf, Houston, T, p. 706. 4 Khilar, K., and Fogler, S., 998, Migration of Fines in Porous Media, Kluer, Dordrecht, p. 7. 5 Logan, J. D., 000, Transport Modeling in Hydrogeochemical Systems, Springer-Verlag, Ne York, p. 83. 6 Civan, F., 007, Formation Damage Mechanisms and Their Phenomenological Modeling An Overvie, European Formation Damage Conference, Sheveningen, The Netherlands, May 30 Jun., Paper No. SPE-07857. 7 Herzig, J. P., Leclerc, D. M., and le Goff, P., 970, Flo of Suspensions Through Porous Media Application to Deep Filtration, Ind. Eng. Chem., 6 5, pp. 8 35. 8 Wojtanoicz, A. K., Krilov, Z., and Langlinais, J. P., 987, Study on the Effect of Pore Blocking Mechanisms on Formation Damage, SPE Production Operations Symposium, Oklahoma City, OK, Mar. 8 0, Paper No. 633. 9 Nabzar, L., Chauveteau, G., and Roque, C., 996, A Ne Model for Formation Damage by Particle Retention, SPE Formation Damage Control Conference, Lafayette, LA, Feb. 4 5, Paper No. SPE-390. 0 Chauveteau, N. L., and Coste, J.-P., 998, Physics and Modeling of Permeability Damage Induced by Particle Deposition, SPE Formation Damage Control Conference, Lafayette, LA, Feb. 8 9, Paper No. SPE-39463. Pang, S., and Sharma, M. M., 997, A Model for Predicting Injectivity Decline in Water-Injection Wells, Sept., Paper No. SPEFE-8489, Vol., No. 3, pp. 94 0. Ochi, J., Detienne, J.-L., Rivet, P., and Lacourie, Y., 999, External Filter Cake Properties During Injection of Produced Waters, SPE European Formation Damage Conference, The Hague, The Netherlands, May 3 Jun., SPE Paper No. 54773. 3 Wennberg, K. E., and Sharma, M. M., 997, Determination of the Filtration Coefficient and the Transition Time for Water Injection Wells, SPE European Formation Damage Conference, The Hague, The Netherlands, Jun. 3, Paper No. SPE-388. 4 Alvarez, A. C., Bedrikovetsky, P., Hime, G., Marchesin, D., and Rodríguez, J. R., 006, A Fast Inverse Solver for the Filtration Function for Flo of Water With Particles in Porous Media, Journal of Inverse Problems,, pp. 69 88. 5 Bedrikovetsky, P., da Silva, M. J., da Silva, M. F., Siqueira, A. G., de Souza, A. L. S., and Furtado, C., 005, Well-History-Based Prediction of Injectivity Decline During Seaater Flooding, SPE Sixth European Formation Damage Conference, Scheveningen, The Netherlands, May 5 7, Paper No. SPE- 93886. 6 Sharma, M. M., and Yortsos, Y. C., 987, Transport of Particulate Suspensions in Porous Media: Model Formulation, AIChE J., 33 0, pp. 636 643. 7 Bedrikovetsky, P., 008, Upscaling of Stochastic Micro Model for Suspension Transport in Porous Media, Journal of Transport in Porous Media, 75 3, pp. 335 369. 8 Boano, F., Packman, A. I., Cortis, A., Revelli, R., and Ridolfi, L., 007, A Continuous Time Random Walk Approach to the Stream Transport of Solutes, Water Resour. Res., 43, p. W045. 9 Cortis, A., 007, Péclet-Dependent Memory Kernels for Transport in Heterogeneous Media, Phys. Rev. E, 76, p. 0300. 0 Shapiro, A., and Bedrikovetsky, P., 008, Elliptic Random-Walk Equation for Suspension and Tracer Transport in Porous Media, Physica A, 387 4, pp. 5963 5978. Bedrikovetsky, P. G., Marchesin, D., Checaira, F., Serra, A. L., and Resende, E., 00, Characterization of Deep Bed Filtration System from Laboratory Pressure Drop Measurements, J. Pet. Sci. Eng., 3 4, pp. 67 77. Souza, A. L. S., Figueiredo, M. W., Kuchpil, C., Bezerra, M. C., Siqueira, A. G., and Furtado, C. A., 005, Water Management in Petrobras: Developments and Challenges, 005 Offshore Technology Conference, Houston, T, May, Paper No. OTC 758. 3 Mackay, E. J., and Jordan, M. M., 005, Impact of Brine Flo and Mixing in the Reservoir on Scale Control Risk Assessment and Subsurface Treatment Options: Case Histories, ASME J. Energy Resour. Technol., 7, pp. 0 3. Journal of Energy Resources Technology SEPTEMBER 00, Vol. 3 / 0330-7