WEBVTT 99:59:59.999 --> 99:59:59.999 Speaker: Nay wells are affected by a well skin, a low permeability layer that 99:59:59.999 --> 99:59:59.999 surrounds the well and causes the drawdown in the skin to be less than- er to be 99:59:59.999 --> 99:59:59.999 greater than the drawdown that would be expected otherwise. 99:59:59.999 --> 99:59:59.999 So, we can see this in the, in the sketch. 99:59:59.999 --> 99:59:59.999 This line here is the expected drawdown using, uh, the Jacob analysis, or 99:59:59.999 --> 99:59:59.999 perhaps some other analysis, but as we get right in the vicinity of the well, we 99:59:59.999 --> 99:59:59.999 see that there's a low permeability zone here, and the head goes like so, follows 99:59:59.999 --> 99:59:59.999 this dashed line. 99:59:59.999 --> 99:59:59.999 And as a result, this is the expected drawdown based on our theoretical analysis. 99:59:59.999 --> 99:59:59.999 It is using the properties of the aquifer, uh, out here away from the well 99:59:59.999 --> 99:59:59.999 [stammering] in this region, but in fact we observe that the drawdown at the well 99:59:59.999 --> 99:59:59.999 is here, so the drawdown is greater, um, and that results from the extra headloss 99:59:59.999 --> 99:59:59.999 due to the well skin. 99:59:59.999 --> 99:59:59.999 So we want to characterize this, and one way to characterize it is to use the well 99:59:59.999 --> 99:59:59.999 efficiency, which is the ratio of the expected drawdown from our theoretical 99:59:59.999 --> 99:59:59.999 analysis to the observed drawdown, what actually occurs in the field. 99:59:59.999 --> 99:59:59.999 So we need a way to calculate what the expected drawdown is, and we can do 99:59:59.999 --> 99:59:59.999 this with the Jacob analysis. 99:59:59.999 --> 99:59:59.999 What I'm showing here is a version of the Jacob analysis that's set up to calculate 99:59:59.999 --> 99:59:59.999 the head- er I guess this is the drawdown here, um, as a- at a particular time. 99:59:59.999 --> 99:59:59.999 So, the important thing to recognize is right here. 99:59:59.999 --> 99:59:59.999 The radial distance that we're using here is the radius of the well. 99:59:59.999 --> 99:59:59.999 What we used in the previous analysis was the radial distance of the monitering 99:59:59.999 --> 99:59:59.999 well, where our data were made. 99:59:59.999 --> 99:59:59.999 In this case, we need to use the radial- the radius of the well itself. 99:59:59.999 --> 99:59:59.999 This time here, that's the time, the elapsed time, for a data point that we're 99:59:59.999 --> 99:59:59.999 gonna use to determine the observed drawdown. 99:59:59.999 --> 99:59:59.999 The calculation goes like so: we put in the observed time and the radius 99:59:59.999 --> 99:59:59.999 of the well, and everything else is pretty much the same, the s and the t we've 99:59:59.999 --> 99:59:59.999 calculated using a monitoring well out here in the formation. 99:59:59.999 --> 99:59:59.999 The performance here of the monitoring well, the head in the monitoring well, is 99:59:59.999 --> 99:59:59.999 not effected by the skin, so when we calculate TNS from the monitoring well 99:59:59.999 --> 99:59:59.999 data, we're getting something that's really just affected by the, um, 99:59:59.999 --> 99:59:59.999 formation properties.