Presented at the 46th Annual meeting of the INMM, Phoenix, AZ, July 10-14, 2005 |
Robert D. McElroy, Jr., Stephen Croft, Brian M. Young
Canberra Industries,
800 Research Parkway, Meriden CT 06450, USA
ABSTRACT
Many long established US DOE facilities are in possession of poorly documented
wastes in a variety of forms spanning a broad range of waste containers, waste
matrices and isotopic mixtures. Existing assay technologies such as the SuperHENC
can address many of the expected waste configurations. However, there are also
expected waste items that fall outside the normal operating range of these
exceptional but “standard” systems. Given the inherent difficulties
and high costs associated with repackaging even a small number of these containers,
an assay solution combining multiple techniques has been studied with the objective
of maximizing the likelihood of successfully assaying waste for eventual shipment
to WIPP or low level waste disposal.
The Integrated Crate Interrogation System (ICIS) is comprised of a Box Segmented
Gamma Scanner (BSGS) and a passive/active neutron counting system called the
Super IWAS. These are two physically independent assay systems mounted within
separate ISO Containers but connected via Ethernet to allow automated integration
of the assay results from the two systems. In operation, the waste containers
will first be assayed within the BSGS system to obtain both quantitative gamma-ray
assay results and relative isotopic data using well-known algorithms such as
the MGA or FRAM. In addition to scanning in front of an array of HRGSs the
item is also stepped past a 60Co transmission station on the same line. The
operator will then move the container to the neutron assay system. The Super-IWAS
concept considered, based on the successful IWAS installations at the AMWTP,
provides both high-efficiency passive neutron coincidence analysis and active
neutron interrogation using the Differential Die-Away technique (DDA). The
prospect of combining all three complementary assay modes to provide a reliable
assay result is discussed for realistic waste forms along with the extensive
modeling results. Our objective was to devise an NDA solution to this pressing
problem that stretched the current state of the practice but which could be
implemented with low technical risk using a reasonably sized resource allocation
in a predictable and timely fashion. At the conclusion of the study, a design
without the DDA capability was selected for construction.
INTRODUCTION
A feasibility study for an integrated waste assay system for the characterization
of suspect transuranic (TRU) waste was undertaken by Canberra Industries as
part of the U.S. D.O.E. Program Research and Development Announcement (PRDA)
No. DE-RA09-03SR22278 1. The ICIS represents one of several system types examined
in that study. The following sections of this paper discuss the performance
of the Super-IWAS system for the characterization of wastes within large containers
such as the Solid Waste Liner Box (SLB-2) and the Ten Drum Over Pack (TDOP).
The assay of large waste containers is not a new application 2,3,4,5,6,7,8.
The currently deployed box counter technologies have been used with varying
degrees of success for a variety of matrix types and measurement conditions.
However, they all share important limitations. First, all existing box counter
measurements, whether gamma or neutron based, are dependent on waste matrix
composition and source distribution. Matrix composition parameters that affect
measurements include elemental form, bulk density, presence and distribution
of multiple matrix materials, and the concentration of interfering materials
(such as neutron moderators and absorbers) in the matrix. Although matrix effects
are generally smaller for passive neutron measurements than for gamma-ray or
active neutron instruments, all of the existing techniques are susceptible
to some extent. Self shielding is another effect that has (provided the moderator
content is not excessive) the potential for increasing the bias in active neutron
and gamma-ray measurements. Although passive neutron analysis is also less
vulnerable to this effect, it suffers from poorer sensitivity and significantly
higher background effects. All existing systems are affected by non-uniform
distributions of radioactive sources. Non-uniform source distribution, including
non-uniform plutonium composition, can bias NDA measurements either high or
low.
Several attempts have been made in the recent past to correct biases due
to matrix composition uncertainty, self shielding, source distribution effects,
and background irregularities in nondestructive measurements. Some of these
attempts include random triggering of the accidentals gate to reduce backgrounds
in passive neutron measurements; matrix non-uniformity correction algorithms
for gamma-ray analysis; neutron imaging and tomography for neutron and gamma-ray
analysis, respectively; the ‘add-a-source’ technique to compensate
for matrix effects, etc. In addition, there have been attempts to provide matrix-specific
calibrations for each different matrix form that the system is intended to
measure. To some extent, all of these approaches have led to improvement in
measurement accuracy. However, the improvements have generally been over a
limited range of matrix types, under a limited set of conditions, or have required
great effort to implement. Most of the correction approaches have also been
applied to drum-sized, or smaller, containers. Their usefulness for analysis
of boxed waste has not yet been validated.
The ICIS concept attempts to improve the likelihood of successfully characterizing
radioactive wastes by integrating the assay results from three distinct assay
modes, high efficiency passive neutron counting, active neutron interrogation,
and box segmented gamma scanning. The ICIS would consist of two physically
separate counters, the Super-IWAS passive active neutron system and the Box
Gamma Segmented Gamma Scanner (BSGS). These systems would be based on modifications
to existing counter designs and techniques with an automated data integration
technique tailored to these large systems.