A dry gas reservoir has produced as follows: Data Static Res. Pressure Cumulative production MM SCF psia 07-Jan-65 07-Jan-66 09 Jan-67 10-Jan-68 11-Jan-69 3,461 3,370 1,800 3,900 5,850 9,450 3,209 3,029 Data Reservoir Temperature T= 100°F Gas Gravity SG= 0.68 1. Determine the original pressure and original gas in place. 2. What will be the average reservoir pressure at the completion of a contract calling for delivery of 20 MM SCFD for 5 years (in addition to the 9,450 MM SCF produced to 11-Jan-69?)
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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