By P.J. Lee
This booklet describes tactics for picking out the entire hydrocarbon (petroleum) source or source power in a sector. Statistical suggestions and techniques hired in petroleum source review are the topic of the manuscript, greatly illustrated by way of a number of genuine case experiences. Prof. Lee's computer-aided Petroleum info administration and source evaluate process (PETRIMES) method has been followed by way of governments all over the world and by means of significant multinational oil businesses to accomplish source review and to foretell destiny oil and fuel construction. although this system is so regularly occurring, there isn't any "user's advisor" to it, and this publication would be the definitive source for PETRIMES clients.
Read or Download Statistical Methods for Estimating Petroleum Resources (International Association for Mathematical Geology: Studies in Mathematical Geology) PDF
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Extra info for Statistical Methods for Estimating Petroleum Resources (International Association for Mathematical Geology: Studies in Mathematical Geology)
Sample text
Outliers An outlier is a member of a population with either a relatively small or large value in comparison with other members of the same population. Outlier characteristics were described by Neyman and Scott (1971), who defined outlier and outlier proneness and demonstrated that distributions can be classified according to properties of their tails. , a large variance), then there is a higher probability of there being one or more outliers contained in the population. Both large and small outliers are observable in many geological populations, but only large outliers are discussed here.
7), there are two statistical approaches that can be applied to estimate the sizes of the remaining undiscovered pools. , 1977; Cochran, 1939), is used to estimate the continuous pool-size distribution and the discrete number-of-pools distribution. The superpopulation approach views a play (the finite population) as one of the possible cases from the geological model (the infinite population or superpopulation), and has been described by Kaufman et al. (1975). The second approach is to estimate the play (upper right-hand corner of Fig.
Both large and small outliers are observable in many geological populations, but only large outliers are discussed here. Outliers can be recognized by plotting a variable on a box plot with a logarithmic scale. Box plots show where the median of a sample lies, and how the outliers relate to the median (Velleman and Hoaglin, 1981). 10 displays the box plots for the in-place pool size of several plays in the Western Canada Sedimentary Basin. In the box plot, the box covers the middle (50%) of the data.