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BP has three potential sites where it can build a drilling rig

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BP has three potential sites where it can build a drilling rig. Due to its past experience, the CEO has instructed his management team to choose no more than one site.
The costs, the revenues and the estimated outcomes for each site are given in the table below.
Probabilities for the different outcomes
E3 (Dry)
Expected revenue:$0M E2 (Wet)
Expected revenue: $5M E1 (Overflowing)
Expected revenue: $30M Costs
(in million $) Site
0.2 0.8 0 2 A
0.2 0.5 0.3 8 B
0.4 0.4 0.2 6 C
For example, it costs $8M to build a drilling rig in site B. There's a 30% chance for E1 with potential revenue of $30M; 50% chance for E2 with potential revenue of $5M; and a 20% chance for E3 with zero revenue.
Provide decision trees for each question below along with answers
1) Calculate the EMV
2) How much would the company be willing to pay for perfect information on all three sites (together)? Note that after finding out the true nature of each site, the company can still choose no more than one site.
3) After a close vote, the company decided not to drill in sites A and B. It was also decided that site C would be chosen only if it were profitable to drill there.
In addition, a field survey determined that site C could not be overflowing (state E1).
The following question refers to this additional information.

How much would the company be willing to pay for perfect information on site C now?

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https://brainmass.com/math/probability/bp-three-potential-sites-build-drilling-rig-610015

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The response addresses the query posted in 283 words with APA reference

// BP has three potential sites with different situations in the form of overflow, wet, and dry. There are different outcomes for each situation. In the next paragraphs, there will be a discussion over the decision tree regarding finding the best possible site for drilling the rig to earn maximum ...

Solution Summary

The three potential sites of building a drilling rig, decision tree and EMV are determined. The response addresses the query posted in 283 words and decision trees with APA references.

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