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RESOURCES AND RESERVES                                           27
            lower‐quality deposits at the lower part of the triangle. A resource deposit at the top of
            the triangle has a relatively large concentration of resource that is relatively inexpen-
            sive  to  extract. A  resource  deposit  at  the  lower  part  of  the  triangle  has  a  lower
            concentration of resource, so the extraction is more difficult or expensive. For example,
            a large, shallow, light oil reservoir that is onshore would be at the top of the triangle,
            while a small, deep, heavy oil reservoir in an offshore environment would be at the
            base of the triangle. The amount of resource that is both easy to extract and has a high
            concentration is expected to be small, while the amount of resource in a low‐
            concentration deposit is difficult or expensive to extract and is expected to be large.


            2.2.1  Reserves
            Resource size tells us how much of a resource is present in a deposit. The amount of
            the resource that can be extracted is discussed in terms of reserves. The definition of
            reserves is presented in the Petroleum Reservoir Management System maintained by
            the Society of Petroleum Engineers (SPE‐PRMS, 2011). Reserves classifications are
            summarized in Table 2.1.
              The probability distribution associated with the SPE‐PRMS reserves definitions
            recognizes that there is a statistical distribution of resource deposits in nature. For
            example, oil reservoirs vary in size from reservoirs with relatively small volumes of
            oil to reservoirs containing relatively large volumes of oil. If we plot the volume of
            oil in the reservoir versus the number of reservoirs with that volume, we can develop
            a distribution of reservoirs as a function of size. This distribution can be represented
            by a frequency distribution and can be interpreted as a probability distribution
            of  reservoir size. If we combine reservoir size and recovery factor, we can obtain
            a  probability distribution of reserves. As an illustration, suppose we assume the
              probability  distribution  of  reserves  is  a  normal  distribution.  Normal  distributions


            TABLE 2.1  SPE‐PRMS Reserves Definitions
            Proved reserves  Those quantities of petroleum, which by analysis of geoscience and
                             engineering data, can be estimated with reasonable certainty to be
                             commercially recoverable, from a given date forward, from known
                             reservoirs, and under defined economic conditions, operating
                             methods, and government regulations
                           There should be at least a 90% probability (P ) that the quantities
                                                           90
                             actually recovered will equal or exceed the low estimate
            Probable reserves  Those additional reserves which analysis of geoscience and engineering
                             data indicate are less likely to be recovered than proved reserves but
                             more certain to be recovered than possible reserves
                           There should be at least a 50% probability (P ) that the quantities
                                                           50
                             actually recovered will equal or exceed the best estimate
            Possible reserves  Those additional reserves which analysis of geoscience and engineering
                             data suggests are less likely to be recoverable than probable reserves
                           There should be at least a 10% probability (P ) that the quantities
                                                           10
                             actually recovered will equal or exceed the high estimate
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