Interacting length scales in the reactive-infiltration instability



[1] The reactive-infiltration instability, which develops when a porous matrix is dissolved by a flowing fluid, contains two important length scales. Here we outline a linear stability analysis that simultaneously incorporates both scales. We show that the commonly used “thin-front” model is a limiting case of a more general theory, which also includes convection-dominated dissolution as another special case. The wavelength of the instability is bounded from below and lies in the range 1 mm to 1 km for physically reasonable flow rates and reaction rates. We obtain a closed form for the growth rate when the change in porosity is small.

1 Introduction

[2] The reactive-infiltration instability [Ortoleva, 1994] is an important mechanism for pattern development in geology, with a range of morphologies (see Figure 1) and scales, from cave systems running for hundreds of miles [Ford and Williams, 2007] to laboratory acidization on the scale of centimeters [Daccord, 1987]. In this paper we show that the instability is characterized by two length scales: an upstream length where the material is fully dissolved and a downstream length over which it transitions to the undissolved state. Previous work [Chadam et al., 1986; Ortoleva et al., 1987a; Sherwood, 1987; Hinch and Bhatt, 1990] considered one or the other of these lengths to be dominant, which limits the applicability of their results. In particular, we show that the thin-front limit [Chadam et al., 1986; Ortoleva et al., 1987a] is only valid when a particular combination of reaction rate (r), fluid velocity (v0), and diffusion constant (D), math formula is large. Here we develop a general theory of the reactive-infiltration instability, valid for all flow rates and reaction rates; in addition, we obtain closed-form solutions in the limit where the change in permeability is small.

Figure 1.

Examples of patterns produced by the reactive-infiltration instability: (a) wormholes (30 cm long) produced during carbonate acidization [McDuff et al., 2010], (b) holes formed by limestone dissolution (5–10 cm across) [Ortoleva et al., 1987a], (c) a uranium roll (∼1 m), and (d) terra rossa fingers (∼10 m). Images are reproduced by permission (see acknowledgments).

2 Dissolution of Porous Media

[3] When a porous matrix is infiltrated by a reactive fluid, a front develops once all the soluble material at the inlet has dissolved. This front propagates into the matrix as illustrated in the inset of Figure 2, which shows its position (solid line) at a later time. A planar front develops perturbations because of the feedback between flow and dissolution [Chadam et al., 1986; Sherwood, 1987; Hinch and Bhatt, 1990]. Upstream of the front, all the soluble material has dissolved and the porosity is constant, φ=φ1. Ahead of the front, the porosity gradually decays to its value in the undisturbed matrix, φ=φ0.

Figure 2.

Concentration and porosity profiles in the moving front frame x=xUt; the position of the front is indicated by the dashed vertical line. The concentration profile decays with different length scales, lu and ld, in the upstream (x<0) and downstream (x>0) regions.

[4] Dissolution of a porous matrix can be modeled by coupled equations describing flow, reactant transport, and dissolution:

display math(1)
display math(2)
display math(3)

where θ is the Heaviside step function, v is the superficial velocity, and csol is the concentration of soluble material. In the upstream region, where all the soluble material has dissolved (φ=φ1), the reaction terms vanish and the transport equation reduces to a convection-diffusion equation. We assume a constant diffusivity D=D1 and reaction rate r, which captures the essential characteristics of the reactive-infiltration instability. A complete description of solute dispersion and reaction in porous media is complex [Golfier et al., 2002; Panga et al., 2005], but more general dispersion D(φ,v) and reaction r(φ) coefficients can be incorporated within the same framework.

[5] The rate of increase in porosity (tφ) is much smaller than the reaction rate (r) because the molar concentration of solid (csol) is typically orders of magnitude larger than the reactant concentration (c). This time scale separation can be quantified by introducing the acid capacity number, γa=cin/csol(φ1φ0), which corresponds to the volume of porous matrix dissolved by a unit volume of reactant. In typical geophysical systems, the reactant is dilute cincsol and therefore γa≪1; for example, when calcite is dissolved by aqueous CO2, γa∼10−4. This allows us to drop the time derivatives in the flow and transport equations (1) and (2) and treat the velocity and concentration fields as stationary, slaved to the porosity field by means of the erosion equation (3).

[6] The resulting equations are closed by auxiliary conditions far from the front:

display math(4)
display math(5)
display math(6)

where ex is a unit vector in the direction of the flow (x). Far upstream (x→−), the fluid velocity (v0) and reactant concentration (cin) are uniform, and the matrix is fully dissolved. Far downstream (x), the reactant has been entirely consumed, the matrix is undisturbed, and the pressure is uniform across the sample (yp=0).

[7] Equations (1)(3) have steady one-dimensional solutions, cb(x) and φb(x), in a frame x=xUt moving with a constant velocity U:

display math(7)
display math(8)

The fluid velocity v0 is constant throughout the domain (in one dimension), and a mass balance on the reactant consumption requires that U=γav0. By taking the limit of small acid capacity (γa→0), the term proportional to U can be dropped from equation (7) but not from (8) where it sets the dissolution time scale td=ld/U.

[8] Upstream of the front, indicated by the dashed line in Figure 2, all the soluble material has dissolved and the porosity is constant, φ=φ1. Nevertheless, because of the diffusive flux, the concentration profile is not uniform in this region but decays from its inlet value cin over a characteristic length lu=D/v0. Convection-dominated theories [Sherwood, 1987; Hinch and Bhatt, 1990] neglect this scale, setting the concentration at the front to cin, but our analysis shows that this is a singular limit (see equation (15)) and that even small diffusive contributions to the reactant flux make a large difference to the growth rate.

[9] Downstream from the front, material is still being dissolved and here the concentration decays with a different length scale, math formula; the porosity returns to its initial value φ0 on the same scale. If the thickness of the downstream front is neglected, then the reactive-infiltration instability can be mapped to a thin-front problem [Chadam et al., 1986; Ortoleva et al., 1987a], with an r-independent growth rate (see equation (16)). These results have been widely used to draw inferences about the mechanisms and growth rates for morphological changes in rocks, but the range of validity of this limit is more restricted than is generally realized.

[10] Chadam et al. [1986] and Ortoleva et al. [1987a] proposed that the front thickness can be neglected whenever the acid capacity is small (γa≪1), a condition that is widely applicable in nature and which is implicit in equation (7). By including the acid capacity in their definition of reaction rate, r=r/γa, they necessarily take the fast-reaction limit r as γa→0 (keeping r finite) [Ortoleva et al., 1987b]. Missing from this analysis is what physical quantity r must be large with respect to; equation (7) suggests that a sharp front, meaning ldlu (Figure 2), will only occur when rv02/D. Thus, there is no general reduction of the reactive-infiltration instability to a thin-front problem; it is only appropriate as a limiting case when the dimensionless combination of reaction rate, flow rate, and diffusion, math formula.

[11] The importance of the interplay between reaction, diffusion, and convection in a dissolving rock matrix was first noted by Lichtner [1988] and Phillips [1990], while the relevance of the parameter H to wormhole growth was recognized by Steefel and Lasaga [1990]; nevertheless, they did not incorporate their insights into a stability analysis. However, Aharonov et al. [1995] discussed a similar interaction of length scales in the related problem of melt flow in the mantle; here the interplay of matrix compaction and solubility gradient leads to an instability in an otherwise steady, nonpropagating porosity profile. Fracture dissolution is also characterized by an instability in a nonpropagating (but time-dependent) front [Szymczak and Ladd, 2012]. However, the impact of diffusion in systems with propagating versus nonpropagating fronts is fundamentally different: In moving front problems, diffusion can completely stabilize the growth [Chadam et al., 1986], whereas in the case of nonpropagating profiles, it weakens the growth but does not make it stable [Aharonov et al., 1995; Szymczak and Ladd, 2011a]. In this paper we present a new analysis of the instability in a steadily propagating dissolution front, which includes both upstream (where the material is fully dissolved) and downstream regions; we recover previous results [Chadam et al., 1986; Sherwood, 1987; Hinch and Bhatt, 1990] as limiting cases.

3 Linear Stability Analysis

[12] Stationary one-dimensional solutions of equation (1) form the base state for the linear stability analysis:

display math(9)
display math(10)

The Péclet number is defined on the scale of the downstream length, Pe=v0ld/D, and is equal to the ratio of upstream and downstream length scales, ld/lu; it is a function of the dimensionless parameter math formula; math formula. Although Pe is usually based on pore size or sample size, geophysical systems are typically unbounded; then the reactant penetration length is the largest and most important length scale.

[13] Perturbations to the porosity, velocity, and concentration fields are determined by linearizing about the base state, e.g.,

display math(11)

The result of the stability analysis is a fifth-order differential equation for the downstream porosity perturbation δφ, with solutions that depend on Pe, u, ω, and K(φ). Here we take a φ3 relation for the permeability,

display math(12)

and solve for the downstream δφ using a spectral method [Boyd, 1987]. Boundary conditions at the front were constructed by matching to analytic solutions for the upstream perturbations in velocity and concentration. Two boundary conditions suffice to determine δφ for a given ω, and the remaining boundary condition is used to determine the growth rate ω(u,Pe,Δ), where

display math(13)

is the porosity contrast. Details of the linear stability analysis are given in the supporting information.

[14] The connection between the various limiting cases Pe≫1, Pe∼1, and Pe≪1 can be made explicit by developing a perturbation expansion in the porosity contrast Δ. The final result for the growth rate is

display math(14)

where the time scale td=ld/γav0, and ω1(uld,Pe) is a simple but lengthy algebraic function (see the supporting information). Characteristic dispersion curves for convection-dominated dissolution (Pe≫1) are shown in Figure 3 (top) for a small porosity contrast Δ=0.1. For large Péclet numbers, equation (14) can be replaced by a simpler expression:

display math(15)

with results that are indistinguishable from equation (14) on the scale in Figure 3 (top).

Figure 3.

Instability growth rates for a small porosity contrast, Δ=0.1. (top) The dispersion curves in the downstream scaling for large values of Péclet number: Pe= (solid), Pe=104 (dashed), Pe=103 (dotted), and Pe=102 (dash-dotted). (bottom) The dispersion curves in the upstream scaling for small values of Péclet number: Pe=0 (solid), Pe=1 (dashed), Pe=10 (dotted), and Pe=100 (dash-dotted).

[15] In the convective limit (Pe), ω rises monotonically with increasing wave vector, reaching an asymptotic value ωtd=3Δ/2 as in Hinch and Bhatt [1990]. However, even a small diffusivity cuts off the short wavelengths (uld>1), leading to a pronounced maximum in the growth rate. This implies that there will be a strong wavelength selection even in highly convective flows and that short wavelength perturbations will not grow. Thus, the convective limit is singular; unstable terms saturate for large values of uld and are eventually overwhelmed by the diffusive stabilization.

[16] As the Péclet number decreases, diffusional stabilization reduces the growth rate and pushes the range of unstable wavelengths toward u=0. When Pe≪1, the dispersion relation (14) takes a particularly simple form in variables scaled by the upstream length and time, ulu and ωtu, where the upstream time scale tu=lu/γav0. Physically, this rescaling is associated with the change in length scale from convection-dominated infiltration, ld=v0/rlu, to diffusion-dominated infiltration, ldlu=D/v0. Figure 3 (bottom) shows that the dispersion relation in this scaling reaches a limiting form for small Pe,

display math(16)

shown by the solid line; this is the thin-front limit (ld/lu→0) considered in Ortoleva et al. [1987a], with Δ≪1.

[17] The most important result from an analysis of the reactive-infiltration instability is the wavelength of the fastest-growing mode, λmax(Pe,Δ)=2π/umax. Natural patterns are expected to develop on this scale [Ortoleva et al., 1987a], at least initially, since this particular wavelength grows exponentially faster than neighboring ones, with a time scale tmax=1/ωmax=1/ω(λmax). The fastest-growing length and time scales are shown in Figure 4 over a range of Darcy velocities, from 10−8 to 10−1cms−1. The lower end of the scale covers the range of naturally occurring flow rates, while much higher velocities (up to 0.1cms−1) are found in reservoir acidization. Results are shown for three different reaction time scales: r−1=108s, which is characteristic of slowly dissolving minerals such as quartz and certain redox reactions, r−1=104s, which is typical of the dissolution of clays, and r−1=1s which is characteristic of fast-dissolving minerals such as calcite or gypsum; we will consider some specific examples in section 4. Throughout we will assume a constant diffusion coefficient, D=10−5cm2s−1.

Figure 4.

The (top) maximally unstable wavelength λmax=2π/umax and (bottom) time scale, tmax=1/ωmax are shown for different reaction rates: r=10−8 s−1 (black), r=10−4 s−1 (blue), and r=1 s−1 (red). For each reaction rate, results are shown at three different porosity contrasts: Δ=0.1 (solid line), Δ=1 (dashed line and circles), and Δ=10 (squares). Analytic results from (14) are shown by lines, and numerical results from the spectral code are shown by the solid symbols. The acid capacity γa is needed to determine the actual dissolution time scale for a specific mineral.

[18] Figure 4 shows there is a lower bound to the wavelength and time scale with respect to the flow velocity, which occurs around Pe=10 in each case. Starting in the thin-front limit (v0∼10−8cms−1), an increasing velocity reduces the wavelength by decreasing the upstream penetration length lu=D/v; in this region (Pe<1), the downstream penetration length is small. However, as v0 increases further, the downstream length begins to grow and when Pe>1 takes over as the dominant scale; in this case, an increase in velocity increases the penetration length and so the scale of the instability grows. Interestingly, the plot suggests that instability wavelengths will fall in a range between millimeters and a few hundred meters, since the highest flow rates are typically associated with reservoir acidization, where reaction rates are high (red curves). Similarly, there is a lower bound to the time scale; once the downstream penetration length starts to take over, the growth rate of the instability becomes independent of velocity. It should be noted that in order to obtain universal curves, we have plotted γatmax in Figure 4; the dissolution time for a particular mineral can be found by dividing by the acid capacity (typically γa∼10−6−10−4).

[19] The most unstable wavelength λmax decreases with increasing porosity contrast up to Δ∼1. In the diffusive regime it then saturates, but in the convective regime λmax increases sharply with velocity, as shown by the solid squares in Figure 4 (top). This results from the appearance of a long wavelength maximum in the dispersion curve at high porosity contrasts (Δ∼10), which persists from Pe≈10 to the convective limit [Szymczak and Ladd, 2011b]. The analytic theory (14) remains valid up to Δ=1 (dashed lines) as can be seen by the comparison with numerical results (solid circles).

4 Discussion

[20] A reactive-infiltration instability can occur in almost any system in which chemical dissolution is coupled with fluid flow. Variations in reaction rate (r) and flow rate (v0) give rise to a wide range of length scales, from centimeter scale redox fronts in siltstones [Ortoleva, 1994] to kilometer-long scalloping of a dolomitization front [Merino and Canals, 2011]. The span of timescales is also large; acidized plaster [Daccord, 1987] and limestone cores [Hoefner and Fogler, 1988] or salt flushed with water [Kelemen et al., 1995; Golfier et al., 2002] finger in minutes, while geological structures evolve over hundreds of thousands of years. Groundwater velocities are usually small, v0≈10−8−10−5cms−1, while the timescale for dissolution (r−1) varies from seconds to years; thus, both diffusion-dominated (math formula) and convection-dominated (math formula) dissolution can occur.

[21] The formation of salt sinkholes is an example of diffusion-dominated dissolution; here r≈2×10−4 s−1 and v0 is in the range 3×10−7−3×10−6cms−1 [Shalev et al., 2006], which means it is in the diffusive regime (H>1). For the large porosity contrast typical of salt dissolution (Δ≈10), the maximum unstable wavelength (Figure 4) is then λmax≈0.7−7m, which is in the range of the results reported in Shalev et al. [2006]. The associated timescales are of the order of 1.5−150 years (with γa≈0.18); thus, sinkholes would be expected to develop over tens of years, which is comparable with experimental observations [Shalev et al., 2006].

[22] Even though the natural flow rates in most rock formations are small, convection-dominated dissolution can still occur, particularly if only a small fraction of the grains are reactive. Relevant examples include uranium deposition, in which a solution containing soluble uranium salts reacts with pyrites (FeS) embedded in a sandstone matrix; this alters the redox potential and causes uranium to precipitate as uraninite (uranium oxide) [Lake et al., 2002]. Since the pyrites constitute only about 2% of the total rock matrix [Dewynne et al., 1993], the rate of uranium precipitation is small, r≈10−8 s−1 [Lichtner and Waber, 1992]. Oxidation of pyrites produces sulfuric acid, which dissolves some of the rock matrix; the increase in porosity (Δ≈4, Dewynne et al. [1993]) causes a reactive-infiltration instability in the uraninite front. Within the typical range of sandstone permeability, dissolution can be either convection-dominated or diffusion-dominated. The thin-front limit applies when the flow velocity is less than 10−7cms−1; here the scale of the front is predicted to be about 20 m, varying as math formula. However, at higher flow velocities, the scale decreases more slowly because of the transition to convection-dominated dissolution, with a minimum wavelength of about 6m (at v0=10−6cms−1). At v0=10−5cms−1, the scale is again about 20 m, whereas the thin-front prediction would be more than an order of magnitude smaller. Field observations indicate spacings between uraninite fingers in the range of 1mto1km [Dahlkamp, 2009]; in the latter case, since the fingers are very prominent the observed spacing most likely reflects a non-linear selection process, which eliminates many smaller channels (see below).

[23] Fluid velocities during acidization of carbonate reservoirs are larger than in naturally occurring groundwater flows, v0≈10−3cms−1−0.1cms−1 [Economides and Nolte, 2000], and it is frequently assumed that acidization is convection-dominated [Sherwood, 1987; Hoefner and Fogler, 1988]. However, rapid dissolution of calcite by concentrated hydrochloric acid (frequently used in acidization), combined with the large reactive surface area of calcite, can lead to reaction rates as high as 10 s−1 [Cohen et al., 2008], although weaker acids, such as acetic or formic acid, have dissolution rates that are 100 times slower. Thus, acidization spans the range from convection-dominated (H∼10−4) to diffusion-dominated dissolution (H∼100), but the predicted length scales are always in the subcentimeter range. At the smallest flow rates (v0≈10−3cms−1), dissolution tends to be diffusion-dominated, with a typical length scale of the order of λmax≈0.1cm, independent of reaction rate. At the highest flow rates (v0≈0.1cms−1), the reactant penetrates downstream, leading to significantly larger scales (∼ 0.1cm) than would be predicted from the thin-front limit (∼ 0.001 cm). Intriguingly, there may be a connection between the minimum scale of the instability (Figure 4) and the optimization of reactant consumption during acidization [Fredd and Fogler, 1998; Golfier et al., 2002; Panga et al., 2005]. Although the dynamics of wormhole formation are highly nonlinear, the interaction of convective, reactive, and diffusive length scales may be similar.

[24] In this work we have presented the results of an analysis of the reactive-infiltration instability, which takes account of the two length scales that characterize the concentration field; previous analysis [Chadam et al., 1986; Ortoleva et al., 1987a; Sherwood, 1987; Hinch and Bhatt, 1990; Szymczak and Ladd, 2011b] assumed that one length or the other was dominant, corresponding to the limiting cases H [Chadam et al., 1986; Ortoleva et al., 1987a] or H→0 [Sherwood, 1987; Hinch and Bhatt, 1990; Szymczak and Ladd, 2011b]. We have explained the connection between these apparently disparate theories and determined their range of validity; in particular, we have shown that the thin-front limit only holds when H≫1 and the convective limit when H≪1. We have given examples of reactive infiltration systems—in nature, laboratory experiments, and engineered systems—which span a wide range of H, from H∼10−4 to H∼103.

[25] Finally, we note that there are significant limitations to the use of a linear stability analysis to interpret geological morphologies. First, reaction rates at the Darcy scale are not well understood; field measurements are frequently orders of magnitude smaller than those inferred from laboratory experiments. Moreover, as the instability develops nonlinear couplings lead to a coarsening of the pattern, with an increasing wavelength between the fingers [Szymczak and Ladd, 2006]. The competition between different fingers causes the shorter ones to be arrested, which can be clearly seen in the terra rossa fingers in Figure 1 and also in maps of uraninite formations [Dahlkamp, 2009].


[26] This work was supported by the US Department of Energy, Chemical Sciences, Geosciences and Biosciences Division, Office of Basic Energy Sciences (DE-FG02-98ER14853). We thank the following individuals for permission to reproduce the images in Figure 1: (a) Darren McDuff (ExxonMobil Upstream Research), (b) Enrique Merino (University of Indiana), (c) Dr. Robert Gregory (Wyoming State Geological Survey), (d) photograph by C. L. Van Alstine (U. S. Atomic Energy Commission), and (e) Les Sampson (Claremont Wines, South Australia).

[27] The Editor thanks Ruben Juanes and an anonymous reviewer for their assistance in evaluating this paper.