
3-D design calculation of
soil vapor extraction/injection cleanup, in layered materials. The geologic layering
is reflected in the initial contaminant distribution at the left, with dark zones
indicating the greatest gasoline impacts up to 25,000 mg/kg. At the right is the
benzene "cleanup" zone around the central injection well and 2 lateral
extraction wells after 1 year. Notice the "outside-in" cleanup effect and
the high effectiveness of central injection at this particular site.
Cleanup design is predicated on a very
simple principle: delivery of the cleanup mechanism must be consistent with the
distribution of physical and chemical controls and meet the desired time and concentration
goals. While this is simple to state, it is less simple to implement. One
difficulty is that many industry cleanup design standards, such as radius of influence,
have little or no relevance to this simple principle. While some may argue the
effectiveness of nonscientific industry standards as useful and the best that can be done,
it is clear from a scientific perspective that the accurate and representative methods of
calculating flow and mass transfer have been available for many decades. The
environmental groundwater industry, by in large, is simply unaware of this fact and has
therefore wasted billions of dollars in cleanup attempts that by scientific definition
were destined to fail. No question, just scientific fact. What's worse is that
the defensible science is really more cost effective in the long term in that quantified
expectations, limitations, and uncertainties are defined up front. Do what's
necessary, no more, no less. If nothing is necessary, do nothing.
Many of our worst contamination spills are
oily substances such as fuels and solvents, and many of our most successful cleanup
techniques are based on manipulation of more than one fluid phase (combinations of oil,
air, and water). This by definition means that most remediation is
multiphase. That is, essential attributes of many cleanup systems are based on
multiphase flow. Yet, environmental industry standard sampling protocols almost
never include the parameters fundamental to the cleanup. Parameters such as
capillarity, interfacial and surface tensions, relative permeability, just to name a
few. Needless to say, the reason these parameters are not collected is because the
industry at large is generally, though not always, ignorant of their critical control over
cleanup. Petroleum engineers collect these parameters because they earn a living by
recovering oil, but most environmental practitioners are not judged by the harsh real
world meter of cause & effect. Too bad..
At AVI, we understand and apply multiphase
hydraulics and multicomponent chemistry to result in sound, physically based cleanup
system design. Uncertainties and limitations are identified up front so that
remediation data itself can serve as a reflection of the underlying principles and allow
quantifiable identification of areas of success or failure. Industry measures of
"success" such as asymptotic and rebound evaluations, like ROI, have little
relevance to real cleanup success or failure without the hydrogeologic and multiphase
context. AVI has reviewed data from sites that pass regulatory muster and have
gained closure on the asymptotic principle but have no demonstrable reduction in risk or
liability. The irony, from a liability standpoint, is that failed cleanup is very
easy to demonstrate.
Benefits of Multiphase/Multicomponent Remediation
- Remediation is specifically designed toward
source zones
- Risk-specific compounds are targeted for
cleanup
- Optimization of recovery strategies, time
minimization
- Identification & demonstration of
physical and chemical limitations
- Accurate sizing and costing of cleanup
systems
- Quantified remediation milestones &
diagnostics
- Just the facts ma'am, no B.S.; science
describes reality
Browse through the remediation specific
pages on the left to get a specific flavor for various remediation methods, the multiphase
and multicomponent aspects, and the dollar value of a rigorous scientific approach. |