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Apr 26, 2016 - *Phone: (509) 371-7145; fax: (509) 371-7174; e-mail: Chris. ... The apparatus consists of a titanium reactor with quartz windows, near-...
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Determination of Organic Partitioning Coefficients in Water-Supercritical CO2 Systems by Simultaneous In Situ UV and Near-Infrared Spectroscopies David A. Bryce, Hongbo Shao, Kirk J. Cantrell, and Christopher J. Thompson Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.6b00641 • Publication Date (Web): 26 Apr 2016 Downloaded from http://pubs.acs.org on May 9, 2016

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Determination of Organic Partitioning Coefficients in Water-Supercritical CO2 Systems by Simultaneous In Situ UV and Near-Infrared Spectroscopies David A. Bryce,† Hongbo Shao,‡ Kirk J. Cantrell, and Christopher J. Thompson* Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA

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ABSTRACT

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CO2 injected into depleted oil or gas reservoirs for long-term storage has the potential to

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mobilize organic compounds and distribute them between sediments and reservoir brines.

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Understanding this process is important when considering health and environmental risks, but

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little quantitative data currently exists on the partitioning of organics between supercritical CO2

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and water. In this work, a high-pressure, in situ measurement capability was developed to assess

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the distribution of organics between CO2 and water at conditions relevant to deep underground

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storage of CO2. The apparatus consists of a titanium reactor with quartz windows, near-infrared

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and UV spectroscopic detectors, and switching valves that facilitate quantitative injection of

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organic reagents into the pressurized reactor. To demonstrate the utility of the system,

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partitioning coefficients were determined for benzene in water/supercritical CO2 over the range

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35-65 °C and approximately 25-150 bar. Density changes in the CO2 phase with increasing

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pressure were shown to have dramatic impacts on benzene's partitioning behavior. Our

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partitioning coefficients were approximately 5-15 times lower than values previously determined

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by ex situ techniques that are prone to sampling losses. The in situ methodology reported here

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could be applied to quantify the distribution behavior of a wide range of organic compounds that

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may be present in geologic CO2 storage scenarios.

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INTRODUCTION

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Growing energy demands due to expanding global population and prosperity have resulted in

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increased CO2 emissions into the atmosphere. Several methods, including energy conservation,

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use of alternative energy sources, and long-term storage of CO2 have been suggested to reduce

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emissions of greenhouse gasses, and it is generally accepted that some combination of these

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methods will be employed to control growing atmospheric CO2 levels.1 One promising approach

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that is gaining public acceptance is geologic carbon sequestration (GCS).2-4 In GCS, CO2 is

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captured from a large point source such as a power plant or factory, liquefied, and injected into

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subsurface geologic features such as deep saline aquifers, depleted oil and natural gas reservoirs,

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and un-mineable coal seams.4 Use of CO2 in enhanced oil recovery (EOR) applications is well

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documented;1, 5, 6 however, much of the utilized CO2 is recovered. Many of the same reservoirs

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where EOR is practiced could be used for storage of CO2 collected from power plants.4, 7

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At typical GCS storage depths (>800 m), CO2 will be held at pressures and temperatures

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above the critical point (73.8 bar, 31.1˚C).8 In the supercritical phase, CO2 is an effective solvent

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for non-polar organic compounds and other contaminants, a trait that has been well documented

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and employed in industry for many years.9-12 This poses unique contamination risks for a

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supercritical CO2 (scCO2) storage program where residual organic matter is present such as in

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depleted oil reservoirs. Many of the compounds found in crude oil are toxic or carcinogenic,

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including benzene and various benzene derivatives such as toluene, ethyl benzene and xylene

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(BTEX), as well as polycyclic-aromatic hydrocarbons (PAHs). In the event of a leak, stored CO2

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could potentially escape into overlying groundwater aquifers,1, 13 carrying organics extracted

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from the storage reservoir.14

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To better assess the risks of contaminant mobilization, it is necessary to develop a

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fundamental understanding of pertinent organic contaminant behavior at conditions (temperature,

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pressure and ionic strength of brine solutions) similar to those found in possible storage sites.15

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By understanding how organic contaminants behave in binary systems of scCO2 and water/brine,

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predictions may be made regarding contamination risks associated with leak scenarios. The

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distribution of an organic contaminant in each of these two phases is described by the

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partitioning coefficient (K).

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Timko et. al. provides a summary of available data for organic contaminant partitioning

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coefficients in water-CO2 systems.16 There are several limitations in the available data set. First,

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partitioning coefficients have been measured for a relatively small number of compounds.

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Notably absent are ethyl benzene and the xylene isomers, as well as any representative long-

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chain saturated hydrocarbons, such as dodecane. Additionally, the scope of conditions

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investigated show considerable variation, resulting in gaps in the data. Moreover, the impact of

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ionic strength effects on K values does not appear to have been investigated. Finally, the

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available data for benzene exhibits considerable uncertainty.17, 18 Some of this uncertainty may

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be due to the use of ex-situ measurement techniques in one or both phases. For relatively non-

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volatile compounds, errors caused by the escape of organic vapors during sampling may be

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small; but for highly volatile compounds such as benzene, such errors could be significant.

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In this work, our objectives were to 1) develop a fully in situ measurement platform for

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measuring organic partitioning coefficients in scCO2-water systems, 2) demonstrate the use of

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the apparatus by measuring K for benzene in scCO2-water over a range of temperatures and

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pressures, 3) compare our results with previous studies and address uncertainties in the benzene

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data set, and 4) explore the limitations of the system and its application to other organic

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compounds. We constructed a unique apparatus that utilizes two spectroscopic detectors to

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quantify organic concentrations. Measurements in the CO2-rich phase are made in a custom

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reactor by near-infrared spectroscopy (NIRS), while simultaneous aqueous-phase concentrations

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are determined by circulating the aqueous fluid past an in-line UV detector. The system employs

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a high-pressure titration capability that allows quantitative additions of a contaminant of interest

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to the pressurized reactor. This enables real-time observation of the contaminant’s partitioning

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behavior. Additionally, due to the high precision of the injection volume, reliable mass-balance

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checks may be performed to validate measured concentrations and ensure that a third, non-

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aqueous phase has not formed. We initially applied the system to quantify the partitioning

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behavior of benzene due to inconsistencies in previous measurements and benzene’s low EPA

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drinking water standards and associated health risks.20-23 We also conducted some scoping

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measurements with toluene that demonstrate some of the limitations of our approach.

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EXPERIMENTAL SECTION

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Theory. The partitioning coefficient at a given temperature and pressure, Kt,p, is defined as the

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ratio of mole fraction in the CO2 phase (yi) to that in the water phase (xi).18, 24 These mole

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fractions can be determined using the concentrations of organic measured in each phase and the

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fluid densities. When expressed as a function of measured concentrations, Kt,p may be found

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using:

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Kt,p =

CCO2 ቆCH2 O +

ρH O 2 ቇ MWH O 2 ρCO 2 ቇ CH2 O ቆCCO2 + MWCO 2

(1)

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where CCO2 and CH2O represent the organic concentration in the carbon dioxide and water phases

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respectively, ρCO and ρH 2

2O

represent densities of the solvent (CO2 or water) at the experimental

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temperature and pressure, and MWCO2 and MWH2 O are the molecular weights of the solvents,

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CO2 and water respectively. This equation assumes that the organic concentrations are low, and

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the pure-component densities are a good approximation for the actual solution densities.

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Apparatus. Partitioning coefficient measurements were made using a custom-built apparatus

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that consists of a high-pressure reactor, near infrared and UV spectroscopic detectors, and a high-

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pressure reagent injection system (Figure 1). The reactor (Parr Instrument Company) was

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machined from grade 3 titanium with a pressure rating of 200 bar at 75 °C and an internal

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volume of approximately 104 mL. Two 0.5" thick, 1" diameter quartz windows were installed on

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opposite sides of the reactor for in situ spectral measurements of the reactor's contents. A third

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quartz window with the same dimensions was installed flush with the internal floor of the reactor

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to allow visual inspection of a glass-coated magnetic stir bar during experiments. Protection from

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over pressurization was provided by a rupture disc rated for 193 bar that was mounted on a port

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at the head of the reactor. Internal temperature monitoring along the vertical dimension was

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facilitated by a linear array of 5 T-type thermocouples mounted in a 1/8" OD titanium sheath that

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was fed through a port at the top of the reactor. Pressure monitoring was performed by a pressure

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transducer (Druck model PTX 500) that was also mounted at the head of the reactor. The

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thermocouples, pressure sensor, and the UV detector (discussed below) were interfaced to a 24-

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bit USB data acquisition board (Measurement Computing Corporation model USB-2416-4AO).

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Pressure, temperature, and UV absorbance data were acquired, displayed graphically, and logged

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by custom software written using Embarcadero C++ Builder Professional. Heat was supplied to

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the reactor by two cartridge heaters that were mounted in recessed sockets in the reactor's

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bottom. Regulation of the heaters was performed by a proportional-integral-derivative controller

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(Omega CNi32 series), based on the temperature input of a T-type thermocouple mounted in the

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wall of the reactor 2.75" from the bottom. The reactor was seated in a custom-built, aluminum

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stand that was attached to the base of the near-infrared spectrometer's sample compartment. A

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motor-driven, magnetic stirring assembly was installed underneath the reactor in the base of the

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stand for mixing the reactor's contents.

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The reagent-injection system is comprised of a syringe pump, SS tubing, switching valves, an

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HPLC pump, and reagent and waste reservoirs (components are shown to the left of the reactor

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in Figure 1). The syringe pump (Teledyne Isco model 260D) was operated in constant-pressure

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mode to deliver pressurized CO2 to the reactor and provide a driving-force for organic injections

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as described below. Two 6-port, 2-position switching valves (Rheodyne model 7000) direct fluid

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flow through the system. The first valve was plumbed with a 1/16" OD PEEK tubing loop for

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reproducible, fixed-volume additions of organic reagents into the reactor. For experiments with

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benzene, the tubing had an ID of 0.010" and an internal volume of approximately 11 µL. A

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LabAlliance Series I HPLC pump was plumbed in-line with the valve and a glass reservoir

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containing an organic reagent of interest. To fill the tubing loop, the valves were switched to

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direct flow from the HPLC pump through the loop and to the waste reservoir, and the pump was

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operated long enough to thoroughly purge and fill the loop. Injections into the reactor were

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performed by first switching the first valve to place the tubing loop in-line with the syringe

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pump, and switching the second valve to direct flow into the reactor. Next, the pressure of the

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syringe pump was set to approximately 100 psi above the current reactor pressure, causing CO2

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to push the tubing loop's contents into the reactor. Due to changes in the viscosities of organics

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such as benzene and CO2, it was possible to determine when the injection was complete by a

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small, but distinct increase in the slope of the pressure curve (e.g.,