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Speaker: Nay wells are affected by a well
skin, a low permeability layer that
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surrounds the well and causes the drawdown
in the skin to be less than- er to be
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greater than the drawdown that
would be expected otherwise.
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So, we can see this in the, in the sketch.
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This line here is the expected drawdown
using, uh, the Jacob analysis, or
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perhaps some other analysis, but as we
get right in the vicinity of the well, we
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see that there's a low permeability zone
here, and the head goes like so, follows
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this dashed line.
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And as a result, this is the expected
drawdown based on our theoretical analysis.
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It is using the properties of the aquifer,
uh, out here away from the well
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[stammering] in this region, but in fact
we observe that the drawdown at the well
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is here, so the drawdown is greater, um,
and that results from the extra headloss
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due to the well skin.
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So we want to characterize this, and one
way to characterize it is to use the well
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efficiency, which is the ratio of the
expected drawdown from our theoretical
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analysis to the observed drawdown,
what actually occurs in the field.
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So we need a way to calculate what the
expected drawdown is, and we can do
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this with the Jacob analysis.
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What I'm showing here is a version of the
Jacob analysis that's set up to calculate
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the head- er I guess this is the drawdown
here, um, as a- at a particular time.
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So, the important thing to recognize is
right here.
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The radial distance that we're using here
is the radius of the well.
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What we used in the previous analysis
was the radial distance of the monitering
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well, where our data were made.
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In this case, we need to use the radial-
the radius of the well itself.
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This time here, that's the time, the
elapsed time, for a data point that we're
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gonna use to determine the observed
drawdown.
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The calculation goes like so: we put in
the observed time and the radius
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of the well, and everything else is pretty
much the same, the s and the t we've
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calculated using a monitoring well out
here in the formation.
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The performance here of the monitoring
well, the head in the monitoring well, is
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not effected by the skin, so when we
calculate TNS from the monitoring well
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data, we're getting something that's
really just affected by the, um,
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formation properties.
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And there is the same T and this is
Q, which we already know, so we can
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go and calculate what this is, this gives
us an expected drawdown, which we then
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take the ratio of, that calculated value
to the reserve drawdown at that time.
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That gives us the well efficiency.
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Note also that it's possible, under some
circumstances, for the well efficiency
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to be greater than one.
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In many cases, and in the one that I'm
showing here, there's a low
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permeability region around the well, and
that often occurs as a result of drilling
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or perhaps bacterial fouling, uh, during
operation of the well.
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But if possible that the well has a, uh,
higher permeability region around
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it, um, for example, here's our screen,
and if it, if the well has been
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hydraulically fractured, for example, or
if the well intersects a region at its
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higher permeability than the formation,
then, uh, the drawdown that's expected
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might be greater than the observed
drawdown.
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So, if this is a more permeable region,
then we might have something that
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looks like this, then goes like that.
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And so the gradient here is less than
what's expected.
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The specific capacity of a well is the
pumping rate, Q, divided by
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the drawdown.
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So during a transient test, this is going
to be constantly changing.
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If we hold the pumping rate constant, the
drawdown will be increasing, and so this
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will be decreasing.
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This ratio.
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But, if we have a shallow well, and we
pump it for a while, then the drawdown
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tends to stabilize, and the well goes to
steady state, in which case, the
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specific capacity reaches a constant
value.
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And this is a very important value to
know because for a reasonable
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range of drawdowns, in many cases,
this constant, or this, this uh, specific
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capacity is constant.
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So if we know what it is, then we can
tell what the drawdown will be for
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a specific pumping rate.
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And this is really, probably the best way
to characterize the performance of
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a well, at least if you're interested in
how much rate you could get, how much
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water you could get to come out of
this well.
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For a specific, if you know the specific
capacity, then you can tell what the
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drawdown will be if you pump it at
a certain rate.
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So for example, if there is a certain
amount of drawdown that you can't
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exceed, that'll be the maximum drawdown
that you could tolerate, then you can
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determine what the pumping rate would
be when you reach that, if you were to
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hold that, um, that drawdown to be
constant.
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Okay, so, for shallow wells, the way that
they go to steady state is by interacting
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with the stream.
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And the way that you analyze this is to
take a well over here, let me back up a
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second, so this is what we're thinking is
going on, here's the well, over here this
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red circle, and we're pumping out, and
there's a stream over here, shown by
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this blue band.
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And when a well goes to steady state, it's
interacting with that stream, and that
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interaction is what allows it to go to
steady state.
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So to analyze this situation, the way that
you do it is to use what's called an
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image well.
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So, if we have a well here, and if we use
just the Jacob Analysis, and we're
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pumping out of this well, and we assume
in the Jacob Analysis that the aquifer
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is infinite, so it's an infinite lateral
extent, and there is no boundary.
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But what we do then is we say, well
I'm gonna put in another well.
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This is just an artificial well.
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It doesn't really exist, but I'm gonna
put it in there because if I, if I take
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that well and then I inject into it, and
if I inject into it at a rate that's
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equal to the pumping rate that I'm
doing over here, then this injection
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offsets the pumping over on the
left side, and as a result, the zone,
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the line that's halfway between these
two has no drawdown.
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And so it's, it's the head along that
line is maintained at constant value.
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Alright, and as a result, this, uh,
analysis, it's only valid for this
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region over here, it's not really valid
over here because this pumping
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well doesn't really exist.
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So it's a way of taking a, a simple
analysis for an infinite la-aquifer, and
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turning it into an analysis that will
allow us to evaluate the effects of
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a constant head boundary that represents
a string.
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So that's what I'm showing here, that the,
the drawdown will equal the actual
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drawdown from the pumping well, plus
the drawdown from this image well
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that's over here.
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Here's how you do it.
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This is the Jacob Analysis that we've
seen before.
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What we're gonna need to do is to
write this now, in terms of
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X and Y coordinates.
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So there's X, and there's Y, and the
origin of coordinates is at the, uh,
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pumping well.
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So, in order to do that, to make the
switch, what we have to do is go in
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here, and recognize that when we
first did Jacob, we wrote it in terms of
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radial distance away from the pumping
well, that's because it was exactly
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symmetric, and what we can do then is
recognize that R squared is equal to
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X squared plus Y squared.
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That's the Pythagorean theorem.
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So we just do that substitution, and we
get this version of the equation, so
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that's Jacob Analysis right there, we see
this guy here, that's the, that's the
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substitution that we've done.
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So this is just the pumping well, and we
can repeat this for the image well, and
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here's what it looks like.
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This is the image well, and we're gonna be
injecting instead of pumping out, so the
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sign changes right there.
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And the image well is, is here.
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It's at X equals 2L.
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So L is the distance the distance to
the stream, and this distance here
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is 2L.
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So the way that we write this image well
is to replace X here with X minus 2L.
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That's right there.
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That kind of slides this image well over
here to the origin of coordinates.
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Otherwise, this is just the same as the
pumping well.
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So the image well, with just two small
changes, we can, we can determine what
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the drawdown is over here at the
image well.
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And now what we do is add them together,
so this is another superposition problem,
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we saw earlier that we did the analysis or
recovery by superimposing two
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solutions from different times, here we're
superimposing two solutions from
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different locations.
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This is the pumping well, and this is the
image well that we just drew out here.
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And what we see is that this term here can
be factored out, and then we have log,
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log of this stuff here, minus the log of
this stuff there.
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And so we can combine those logs using
the rule of logs when we have log of A
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minus log of B, that equals the log of
A divided by B.
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So we do that, we combine them and
we get this.
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Um, these terms, this stuff here, it's
just gonna cancel, when we do this
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division and we end up with the stuff
that I'm showing here.
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Okay, so that's the total drawdown, this
would give us the drawdown throughout
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this region here.
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Alright, so let's go to the next page, and
here's the thing that we just developed.
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So, what we do is say, well, we're really
just interested in, for this specific
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capacity calculation, and what the
drawdown is at the well.
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What we have here is X and Y, so, the
solution that we have here is really
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valid over the whole aquifer, but if we
just say that the particular point we're
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interested in, we say that Y is equal to
zero, so that would be right here.
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Well, it'd be right here.
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And X equals RW, so that's gonna be
right at that point there.
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Um, and if we also assume that two
times L is much, much greater than
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RW, so that's, I think makes sense, so
2L is, um, is, is, 2 times the distance to
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the stream, and that's got to be much,
much greater than the radius of the well.
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So that'll be okay, unless the well is
right next to the stream.
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This'll be fine.
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And if we make those assumptions, then,
um, we're saying that R squared is, that's
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just equal to zero.
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And if we make, uh, we, we, this guy
here, this X is equal to RW.
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That's RW.
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And that allows us to simplify this down
to, to this, so pretty straightforward.
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And then the next step is to recognize if
we take the log of this stuff, squared,
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that the two can come down, two can come
down there, and that'll cancel out with
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that guy and give us two there.
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Okay, so here's the result.
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For the drawdown at that point on the
well.
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And then to get specific capacity, we just
take the Q over here and this is one over
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the specific capacity, so we do one over
all of this stuff, and we get this
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analysis here, or this formula in the
yellow box.
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So this gives us a way to calculate this
specific capacity at steady state,
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assuming that the aquifer is going to
steady state by interacting with
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this stream.
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And it's really a pretty straightforward
calculation, we've already calculated T,
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and we determined L, that's the distance
to the nearest stream, so we'll
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presumably have a, a map of the sight,
the radius of the well, we'll know that
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from the well completion, and so we can
do this analysis out, and see what this
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steady state specific capacity is.
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And so what we're expecting is to have
something, let's see, let's take a look at
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the units, well this guy down here, uh,
is, it's a log, so it has no units, and so
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this has units of, uh, transmissivity, has
units of length squared per time, so
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the specific capacity has units of length
squared per time, that's the basic units,
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but if we think about it, Q over Delta P,
this is telling us the, the flow rate per
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unit of drawdown.
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So, it's really the flowrate here.
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Length cubed per time, per unit of
drawdown is the length.
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So, we can give the specific capacity
at, in units of length squared per time,
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that's correct, but what you see is that
in some cases, it's also-it's given as
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length cubed per time, the volumetric
flow rate per unit of drawdown.
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So, specific capacity sometimes is given
as like, gallons per minute per foot of
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drawdown, um, so, even though you could
go and, and reduce it down to this kind
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of unit, uh, because it's a, a flow rate
per unit of drawdown, it's given as a,
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as units that, that support that concept.