Estimating Oil Production with Simpson's Rule

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Discussion Overview

The discussion centers around estimating oil production using Simpson's rule based on a graph of production rates. Participants explore the application of numerical integration techniques over a specified time period, addressing the number of intervals and the interpretation of the graph.

Discussion Character

  • Mathematical reasoning
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant calculates an estimate of total oil production using Simpson's rule with a specific formula, yielding approximately 44.17.
  • Another participant suggests using 20 intervals by extrapolating the data, questioning the interpretation of the graph and the number of intervals needed.
  • A different participant expresses confusion about the number of intervals, suggesting that the integration should only consider up to the fourth day, leading to a different interpretation of the intervals.
  • One participant clarifies that no extrapolation is needed and agrees with the original ending value, indicating a preference for using 16 sub-intervals for accuracy.
  • Another participant questions the necessity of using 16 sub-intervals, arguing that using fewer intervals yielded a similar result, prompting a discussion about the significance of accuracy in approximations.
  • Some participants discuss personal preferences for approximation methods, with one stating that using more intervals generally leads to better accuracy.
  • A later reply confirms that while the original method is not wrong, it may not be as accurate, depending on the desired precision of the estimate.

Areas of Agreement / Disagreement

Participants express differing views on the number of intervals to use and the interpretation of the graph. There is no consensus on the best approach, with multiple competing views remaining regarding the application of Simpson's rule in this context.

Contextual Notes

Some participants note potential confusion regarding the definition of intervals and the interpretation of the graph, which may affect the calculations. The discussion reflects varying assumptions about the integration limits and the number of sub-intervals.

Who May Find This Useful

Readers interested in numerical methods for integration, particularly in the context of estimating production rates or similar applications in engineering and mathematics.

shamieh
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The graph below gives the rate of production of oil in thousands of barrels per day by a large refinery. Use Simpson's rule to estimate the total amount of oil produced through the end of the fourth day.so I got

$$\frac{1}{3} [ 10 + 4(12) + 2(14) + 4(9) + 10.5)] \approx 44.1666666667$$
 

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There appear to be 19 intervals, so I though I would extrapolate and say:

$$P(5.0)=P(4.5)$$ so that we have 20 intervals, and then use 10 parabolic arcs rather than just 2 (unless you were instructed to do otherwise).

And be careful reading the graph...notice $P(4.75)\approx12.5$. :D
 
MarkFL said:
There appear to be 19 intervals, so I though I would extrapolate and say:

$$P(5.0)=P(4.5)$$ so that we have 20 intervals, and then use 10 parabolic arcs rather than just 2 (unless you were instructed to do otherwise).

And be careful reading the graph...notice $P(4.75)\approx12.5$. :D
19 intervals? But isn't the function something like $$\int^4_0 f(x)$$ and it says to just go to the 4th day. So wouldn't i have n = 4 since i have 5 subscripts?

Then $$\Delta x =(4/4) / 3 = \frac{1}{3}$$
then $$\frac{1}{3}[f(0) + 4f(1) + 2f(2) + 4f(3) + f(4)]$$ ?

Are you saying i need to split up into 19 pieces?

- - - Updated - - -

Also what does P(5.0) =P(4.5) mean?

- - - Updated - - -

I also don't understand why we are going past 4? It just says go to the end of the 4th day? Now we would be in the end of the 5th day from what you're saying wouldn't we?

Because from 0 to 1 that's the end of the first day isn't it? There can't be a 0th day? so then from 1 to 2 that's the end of the 2nd day etc etc? Or am I way wrong lol
 
It looks like each day is split up into 4 sub-intervals, however, I was reading the graph incorrectly. :o There is no extrapolation required and your ending value ($P(4)$) is correct. I was using $P(t)$ to represent the function being plotted (P for production). So, if I was working this problem, I would want 16 sub-intervals ($n$=16) or 8 parabolic arcs.
 
So I can't do this right? Because wouldn't this be way easier then splitting it into 16 pieces? Plus n is even so why wouldn't this approach work?

$$\Delta x = b-a/n$$
$$\Delta x = 4 - 0/ 4 $$
$$\Delta x = 1$$

Cut into n pieces, so cut into 1 piece. (0 to 1, 1 to 2, etc up to 4.
Applying Simpsons

$$\frac{\Delta x}{3} = \frac{1}{3}[f(0) + 4f(1) + 2f(2) + 4f(3) + f(4)] $$
 
So should I get:

$$\Delta x = \frac{4}{16} = \frac{1}{4}$$

then $$\frac{\Delta x}{3} = \frac{1}{12}$$

$$\frac{1}{12}[10 + 4(8.75) + 2(8.75) + 4(9.50) + 2(12) + 4(14.5) + 2(15.75) + 4(15.75) + 2(14) + 4(12.75) + 2(11) + 4(10) + 2(9) + 4(8.50) + 2(8.50) + 4(9.50) + 10.75]$$so
$$1/12 * 535.75 \approx 44.6458333333$$

Is this correct?:eek:
 
What in the world? If that is correct then wouldn't it be pointless to split them up into $$16$$ sub intervals when I just split them in $$4$$ pieces before and got the same answer essentially? I mean it only differed by $$0.4791666666$$.. Is that a big deal?
 
I guess it boils down to your personal preference. My own would be to use the better approximation. :D
 
MarkFL said:
I guess it boils down to your personal preference. My own would be to use the better approximation. :D

So would you say that it would be wrong to approximate it my way? As in, incorrect. Or would you basically be doing the same thing? I mean because I guess an approximation is just that exactly right? An approximation?
 
  • #10
No, what you have done is not wrong, it is just not as accurate. It just depends on whether you want to make the extra computations. To me the graph seems to indicate using 4 sub-intervals per day.
 

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