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 We present the results of four experiments investigating the ultrasonic properties of granular materials partially saturated with trichloroethylene (TCE), a dense non-aqueous contaminant. P-wave velocity measurements were made under in situ effective stress conditions using a pulse transmission cell at ≈250 kHz. Two synthetic samples and two natural aquifer cores were fully saturated with water and then subjected to an axial injection of TCE. The resulting measurements show reductions in P-wave velocity of up to 15% due to contaminant saturation. A theoretical model combining Gassmann fluid substitution and Hill's equation was used to estimate the effects of DNAPL saturation; this model underpredicted observed reductions in velocity at high TCE saturations. A linear relationship, expressed in terms of volumetric contaminant fraction, provided an excellent empirical fit to the laboratory measurements.
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 The in situ detection and delineation of toxic contaminants is an on-going challenge for scientists responsible for environmental site remediation. Dense non-aqueous phase liquids or DNAPLs are a class of fluids which include several problematic industrial contaminants including the chlorinated solvent trichloroethylene (TCE) [Pankow and Cherry, 1996]. Multiple geophysical techniques have been proposed for DNAPL detection in shallow subsurface environments [Romig, 2000]. However, most methods lack the spatial resolution and/or sensitivity for the characterization of small DNAPL lenses or pools. High-resolution borehole seismic methods may have sufficient resolution in some geological scenarios when appropriate source frequencies and experiment geometries are used. While previous seismic imaging experiments have targeted regions of DNAPL contamination [Temples et al., 2001], to date no core-scale ultrasonic measurements have been performed on DNAPL-saturated aquifer materials, a prerequisite for the calibration of relevant rock-physics models.
 We present the results of four experiments investigating the ultrasonic properties of granular materials partially saturated with TCE. These measurements provide constraints on the seismic signature of partial DNAPL saturation. Two natural aquifer samples and two synthetic glass bead packs of differing porosities were examined. All samples were initially water saturated before being subjected to an axial injection of TCE. TCE is a colorless fluid with a high density (1464 kg/m3), a low P-wave velocity (1050 m/s [Nath and Saini, 1990]), and a low viscosity (0.56 × 10−3 Poise [Mercer and Cohen, 1990]) with respect to water at 20°C. TCE has a low aqueous solubility (1100 mg/L [Montgomery, 1991]) but is tightly regulated by the EPA with a maximum allowable concentration of 0.005 mg/L in drinking water.
 Ultrasonic pulse transmission measurements were acquired during the injection of TCE into the granular samples allowing determination of P-wave velocity as a function of DNAPL saturation. Maximum TCE saturation varied between 22% and 59% for the four samples. Since only water and TCE were used as saturating fluids, our results are most relevant to characterization of DNAPLs in the saturated zone. The resulting velocity estimates show a reduction in P-wave velocity as a function of DNAPL saturation. The largest observed velocity decrease was 15% at a TCE saturation of 59%. A combination of Gassmann fluid substitution and Hill's equation was used to estimate the effects of DNAPL saturation but underpredicted the observed decrease in velocity at high TCE levels. A linear model, expressed in terms of volumetric contaminant fraction, provided an excellent empirical fit to our measurements across all samples.
 The key parameters for determining the seismic signature of fluid saturation are the fluid's compressional wave velocity and density (ρfl) which can be directly related to fluid bulk modulus (Kfl = Fluids with a high bulk modulus stiffen porous materials; at higher frequencies viscous losses can be generated due to motion of the saturating fluid with respect to the porous matrix. Biot-Gassmann theory [Biot, 1956] describes the effects of pore fluids on the bulk elastic properties of porous materials. The theory does not attempt to predict rock properties from ab initio information concerning phase properties and geometric distribution but limits itself to the effect of fluids. For this investigation, we use a simplified conceptual model where the sample is treated as a three phase composite consisting of grain material, water, and TCE. The saturated composite can be described by three parameters, compressional wave velocity shear wave velocity and bulk density (ρsat) or equivalently as ρsat and wet shear and bulk moduli (μsat and Ksat).
1.2. Previous Laboratory Investigations
 Several experimental studies have examined the impact of NAPL saturation on ultrasonic properties of synthetic soils. Geller and Myer  investigated the relationship between NAPL saturation, P-wave velocity, and attenuation at effective pressures of 140 kPa using 1,1,2-trichloro-1,2,2-trifluro-ethane (freon-113), n-dodecane, and iso-octane as model contaminants using a pulse-transmission apparatus operating at 500 kHz. Reductions in Vp of up to 40.3% were observed for sands fully saturated with freon-113. Seifert et al.  performed a similar set of measurements with a focus on varying fluid viscosity and wetting properties. Vp and Qp were measured while saturating samples with two different grades of silicone oil (10 and 100 cs), castor oil, and n-dodecane at effective pressures of 690 kPa. Both sets of experiments were performed with ultrasonic pulse transmission systems operating between 500 and 1000 kHz. Both Geller and Myer  and Seifert et al.  made measurements on synthetic samples consisting of medium sub-rounded quartz sand (212-250 microns) with porosities between 35% and 42%.
1.3. A Model For Fluid Substitution
 Past efforts to develop rock-physics models for NAPL saturation have met mixed success; methods considered include the Kuster-Toksoz scattering model [Geller and Myer, 1995] and the dynamic composite elastic medium model (DYCEM) [Seifert et al., 1999]. Carcione et al.  proposed a model for the seismic properties of contaminated sediments based on an extension of Biot-Gassmann theory with the addition of patchy saturation and viscodynamic effects related to clay content.
 We adopt a model which combines Gassmann fluid substitution [Gassmann, 1951; Mavko et al., 1998] and Hill's equation [Hill, 1963] to estimate the seismic signature of TCE injection into water saturated granular media. This approach, sometimes referred to as the Biot-Gassmann-Hill model (BGH) [Johnson, 2001], assumes a macroscopic patchy distribution of fluids in contrast to formulations requiring fluid mixing on the pore scale. Although the BGH model neglects dynamic Biot effects, numerical tests indicate that such processes, while present, are small yielding a maximum difference in Vp of 1.2%.
 We follow the BGH formulation described by Dvorkin et al.  and Johnson . We calculate the bulk and shear moduli of the water saturated fluid/solid composite using measured and values and a literature estimate of the wet Vp/Vs ratio at a similar pressure; we use a value of 5 obtained from measurements on clean sands carried out by Zimmer et al.  at low pressure (<1 MPa). We then estimate the frame bulk modulus (Kfr) using the Gassmann model. The Gassmann model assumes that fluids do not effect rock shear properties i.e. μfr = These frame properties, derived from the water-saturated case, serve as a starting point for our model predictions.
 Hill's equation [Hill, 1963] provides an exact formulation for the properties of a multi-phase composite where all components have identical shear moduli but possibly different bulk moduli. The general form of Hill's equation, which is independent of the geometry of the constituent phases, can be expressed as,
where xi and Ki are the volume fraction and bulk modulus of the ith phase respectively. In our case, the phases chosen are not the pure fluid or mineral components but different regions where Gassmann's model holds for a single fluid; phase 1 is a fully water saturated composite while phase 2 is fully saturated with TCE. The fraction of phase 1 and 2 are controlled by the measured TCE saturation. The properties of the water/TCE/mineral composite are then estimated by computing the phase 1 and 2 properties using the Gassmann model and the previously estimated frame properties, followed by application of equation 1.
2. Experimental Methods
 We measure seismic P-wave velocity using the ultrasonic pulse-transmission method. This well-developed technique [Wyllie et al., 1956] has found broad application in characterizing the seismic properties of granular materials including unconsolidated sediments [Zimmer et al., 2002]. The pulse transmission method measures the time-of-flight of an acoustic pulse traveling across a sample of known length to estimate seismic propagation velocity. Since the pulse traverses the entire sample, the measurement yields a length-averaged velocity in cases where the sample is not uniform.
2.1. Ultrasonic Measurement System
Figure 1 shows a schematic of the pulse measurement system and the triaxial confining cell. The soil sample is jacketed in an impermeable viton elastomer sleeve situated within a containment vessel allowing for application of confining stress. The top and bottom surfaces of the sample are in contact with endcaps constructed from compression molded polyphenylene sulfide (PPS/ryton), a compound with both superior chemical resistance to TCE and a high coupling coefficient with soft granular materials. Each endcap has two injection ports connected to fluid distribution grooves on the cap face. Mounted within the endcaps are a matching pair of 500 kHz contact transducers (Part # V101, Panametrics, Waltham, MA) used to generate the ultrasonic pulse. The transducers are driven by a high-voltage pulse generator (IRCO, model M1K-20) set to produce a square wave (0.8 μs width, 400 V amplitude). For each measurement, 100 waveforms were stacked and recorded using a digital oscilloscope (Lecroy 9310A). Axial and confining loads were maintained by syringe pumps (model 500 D, Isco Inc.) that operate in constant pressure mode. TCE is injected into the sample using a transfer cylinder driven by a third syringe pump. Changes in sample length are monitored by a deformation gauge mounted on the load frame.
2.2. Sample Acquisition and Preparation
 The natural aquifer samples were acquired from the DOE Pinellas site using a rotary sonic drilling system and split into 5 ft. sections (≈1.5 m) before being transported off-site. The cores were initially drained of free water and then split into smaller 7 cm sections followed by sub-coring to a 7 cm diameter. The resulting samples were frozen and placed in a viton jacket before being loaded into the confining cell. Water for saturating the aquifer samples was prepared by equilibrating vacuum deaired DI water with the annulus remaining from the sub-coring process. Although efforts were made to preserve core integrity, disruption of the internal granular framework might have occurred during the acquisition, transport, sub-coring, or freezing processes; the resulting samples should be viewed as representative of the site but are probably not identical to in situ materials.
 The synthetic samples were composed of glass beads (Potters Ballotini GB8) sieved between standard 60 and 70 meshes (grain diameter ≈212 to 250 μm). The beads were rinsed in DI water followed by drainage and air drying. After drying, 250 g of beads were separated, rewetted, and then slowly poured into a water-filled Teflon sleeve pre-mounted on the bottom end cap. The water used for saturating the synthetic samples was pre-equilibrated with the same type of glass beads.
 The natural samples, after being loaded into the confining cell as described above, were slowly flooded with equilibrated water. Injection pore pressure was incrementally increased to a maximum of 350 kPa while adjusting axial and confining pressures to maintain relatively constant effective stress conditions. During the water saturation process, the amplitude of the P-wave first arrival gradually increased; the sample was considered fully water saturated when the waveform achieved a steady state.
 TCE, dyed red (Oil Red O Dye, Sigma Aldrich) for visibility, was then slowly injected from the bottom of the sample to minimize density-driven flow instabilities. Flow rates were estimated from both the injection pump indicator and the mass changes of the collected effluent column. When flow rates decreased to near zero, the injection pressure was increased followed by a corresponding increase in confining pressure to maintain near-constant effective stress conditions. Ultrasonic waveforms were acquired during the injection process. Injection continued until injection pressures exceeded 280 kPa, indicating difficulty in displacing the remaining pore water. P-wave first arrival times were determined by picking the first zero-crossing. De-aired DI water was used as the calibration fluid.
 Following the experiments, the samples were excavated to qualitatively ascertain TCE distribution and oven-dried at 105°C to determine the dry samples mass. Mean grain density was determined on small sub-samples using a pycnometer-type measurement. Total porosity was calculated from dry sample mass, the measured grain density of the solid, and the sample volume while in the measurement apparatus. For the natural samples, sand/silt/clay fractions were determined through hydrometer sedimentation analysis of 100g samples.
3. Results and Discussion
Table 1 summarizes the basic sample properties including porosity and sand/silt/clay fraction in addition to the effective stress state and the maximum departure in Vp observed during the injection process. All four of the samples had high porosities (0.34 ≤ ϕ ≤ 0.465). Vp values in the initial state were typical for unconsolidated sands at these effective stress levels (1740 m/s ≤ Vp ≤ 1880 m/s) and were not strongly correlated with either porosity or texture. Among the natural aquifer samples, sample # 1 was a clean sand while sample # 2 was a sandy loam. The maximum TCE saturation achieved before break-through varied between 0.22% and 0.59%.
Table 1. Summary of Sample Characteristics
Vp, Water Saturated, m/s
Maximum TCE Saturation, Fraction
Synthetic Granular Samples
Natural Aquifer Samples
Figure 2 (see Tables S1–S4 of the auxiliary material) shows Vp as a function of TCE saturation for both the natural aquifer (Figure 2a) and the synthetic (Figure 2b) samples. All four experiments observed an approximately linear decrease in Vp during saturation with maximum reductions of between 4.79 and 15.65% from water saturated values. Although the transducers had a resonant frequency of 500 kHz, spectral analysis of recorded waveforms indicated a central frequency closer to 250 kHz for transmitted arrivals.
 The measurements for all samples were compared to the BGH model predictions, shown as solid lines on Figure 2. In the absence of quantitative grain mineralogy measurements, we assumed that natural aquifer grains had the properties of quartz (ρg = 2650 kg/m3, Kg = 36 × 109 Pa, μg = 45 × 109 Pa) as compiled by Mavko et al. ; visual examination of the sand fraction suggests that quartz is indeed the dominant component. For the experiments on synthetic bead samples, the properties of soda lime glass were used for the required grain parameters (ρg = 2530 kg/m3, Kg = 43 × 109 Pa, μg = 30 × 109 Pa). Since frame properties are computed from the water saturated end-points, all BGH curves are “anchored” to these values. While the BGH predictions provided a qualitative match to the data, they systematically underestimated the decrease in Vp due to TCE saturation for both types of samples. These discrepancies were particularly visible at the high saturations achieved during the 1st natural and 2nd synthetic experiments. Considering the simplicity of the BGH model, this disagreement is not entirely surprising and could be due to non-Gassmann behavior such as changes in frame shear properties induced by TCE saturation. Small uncompensated perturbations in pore pressure might also result in frame property modifications during injection. Simultaneous measurement of Vs, although not possible using our apparatus, would allow calculation of changes in wet frame properties and quantification of shear modulus variations.
 One alternative to plotting Vp in terms of saturation is to convert measured values to TCE volume fractions, the ratio of TCE volume to total sample volume, and relative changes in velocity, a step which normalizes for differences in porosity and baseline frame properties. Figure 3 shows the % change in Vp as a function of TCE volume fraction (FTCE) with a linear fit to all measurements shown in cyan. In this case, the fit takes the form ΔVp% = 0.4519 − 56.87 FTCE and, although empirical, provides an excellent match with the complete dataset.
 In addition to the measured variations in ultrasonic arrival time, decreases in signal amplitude and frequency content were also observed during TCE injection. A detailed analysis of these attenuation phenomena will be the focus of future research.
 The ultrasonic properties we have measured provide a starting point for estimating the seismic signature of TCE pools or similar dense contaminants in situ. Recent CPT-based sampling of DNAPL contaminant pools by Parker et al.  observed layers with peak saturations near 50%, levels sufficient to yield reductions in Vp on the order of 150 m/s assuming the validity of our empirical model. Unfortunately, the same study estimated the thickness of the high saturation region to be between 5 and 15 cm, suggesting that spatial resolution rather than sensitivity will constrain the seismic delineation of DNAPL regions. Equally problematic for characterization efforts are issues of non-uniqueness; a similar reduction in Vp could be generated by a variety of other subsurface processes including biogenic gas production tied to zones of residual contamination. One approach to resolving issues of non-uniqueness is the introduction of auxiliary datasets, either secondary parameters extracted from the seismic waveform such as attenuation, or unrelated geophysical measurements with sensitivity to the presence of DNAPLs with ground penetrating radar [Ajo-Franklin et al., 2004] being a likely candidate.
 The first and second authors contributed equally to this work. The first author would like to thank M.N. Toksöz, the Founding Members Consortium of the Earth Resources Laboratory, and the EPA's STAR Fellowship program for their generous support and guidance. Elements of this research were supported by DOE grant DE-AC-03-76F0098 under the Subsurface Contamination Focus Area of the Environmental Management Program. We would also like to thank the DOE Pinellas staff and Ken Williams for project assistance.