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320   RESOURCE ESTIMATION FOR SHALE GAS RESERVOIRS

            (other than to hold acreage) was occurring in the gas conden-  uncertainty in these properties. For example, the OGIP var-
            sate window or the oil window in the Eagle Ford.  The   ies from county to county because of differences in net
            addition of liquids production to the natural gas production   thickness and other properties across the field. The distribu-
            significantly improves the average product price and the   tion of net thickness they used in the Barnett study covered
            economic profitability of these Eagle Ford wells. In addition,   the greater net thickness in Tarrant County and the lower net
            the gas condensate and oil portions of the Eagle Ford are   thickness in the southwestern Barnett shale. Another limita-
            shallower than the dry gas portion; thus, drilling costs are   tion of the high‐level assessments is related to vertical vari-
            lower in the shallower portion of the play.          ability in properties. They did not consider vertical variations
              The Marcellus Shale has the highest recovery (Fig. 14.22).   in  properties,  such  as  fracturability,  throughout  the  zones
            With a typical F&DC of US$6 million for the Marcellus   evaluated. In some areas the net thickness of the shale gas
            Shale wells and a gas price of US$4.0/Mcf, 38% of the   plays are so thick that the entire pay zone cannot be com-
            Marcellus Shale gas  TRR is economically recoverable   pleted and produced. However, they used the same
            (Fig.  14.26), which is as economic recoverable as the   distributions of net pay for the OGIP calculation and TRR
            Haynesville shale.                                   prediction for the four shale gas plays in this study.
              The value of ERR will be a function of the average gas   They also acknowledged the uncertainty in the produc-
            price in the future. If we increase the gas price, we will   tion forecasts generated by the probabilistic analytical simu-
            increase the fraction of TRR that is economically recover-  lator.  The input parameters used to generate production
            able. In 2013, the natural gas price was about US$4/Mcf or   forecasts for four shale gas plays were obtained from the
            less, which means many of these wells are not economic.   literature and well data. The parameter values and forecasts
            However, the industry is working to increase  natural gas   were reviewed by operators and reserves evaluators in these
            demand, which may increase the natural gas price after the   plays to verify their reasonableness. For instance, the proba-
            year 2013. Therefore, much of the TRR will be recovered   bilistic forecasts for the Barnett Shale were calibrated against
            whenever the natural gas price increases to a point where   actual 5‐year cumulative production data (Fig.  14.2),
            more drilling will occur.                            although this, of course, does not guarantee the accuracy of
                                                                 25‐year forecasts. Little performance data exists for the
                                                                 Eagle Ford and Marcellus Shale—only one year production
            14.4  DISCUSSION                                     history was available at the time of the Dong et al. (2012)
                                                                 study. Even though they calibrated the Eagle Ford and
            The technology and tools described in this chapter can be   Marcellus dry gas forecasts against actual production data,
            useful in assessing technically and ERR in shale gas plays.   there is uncertainty in these forecasts.
            However, it is important to acknowledge the assumptions   Table 14.15 lists opportunities for increasing ERR in
            and uncertainties inherent in the results presented in this   the Barnett, Haynesville, Eagle Ford gas window, and
            chapter, particularly in the work of Dong et al (2013). First,   Marcellus shales by increasing gas prices and/or decreasing
            they assumed a 25‐year well life for calculation of TRR and   F&DC. For instance, if F&DC were decreased to 2 MM$/
            economic hurdles of IRR >20% and payout time <5 years   well, 50% of  TRR could be economically recoverable
            for calculation of ERR. These are reasonable criteria, and   from the Barnett Shale at a gas price of US$4.0/Mcf. If gas
            similar values are used by many smaller companies and   price increased to US$6.0/Mcf, 25% of  TRR could be
            investors that have tended to take the lead in developing   recovered economically in the Eagle Ford gas window at a
            shale gas plays, with larger companies, which often use dif-  F&DC of 9 MM$/well.
            ferent investment evaluation yardsticks, tending to enter the   Dong et al. (2013) calculated the ratio ERR/TRR on an
            plays later. Dong et al. (2013) chose a 25‐year production   individual‐well basis. That is, ERR/TRR is the TRR from
            history rather than 30 or 50 years. In the 2013 economic   wells that individually meet the economic hurdles at a
            environment,  many  independent  operators  invest  on  the   particular gas price and F&DC divided by the TRR from all
            basis of payout time and internal rate of return. Therefore,   wells. This does not account for the practice of budgeting
            production during the first 5–10 years is critically important   and drilling “packages” of wells in statistical shale gas plays.
            to many independent operators. Other operators may use dif-  Because there is a lot of variability in individual shale gas
            ferent criteria, some with a longer‐term focus and, thus, may   well performance, a package of wells may meet the economic
            obtain different results.                            hurdles overall while some wells will individually meet the
              The Dong et al. (2013) resource assessments are of high   economic hurdles and some will not. Once drilled, wells will
            level. Although they estimated resources for entire plays,   be allowed to continue producing to a net‐cash‐flow
            they did not model reservoir and well properties on a well‐  economic limit even if they do not meet the economic hur-
            by‐well basis. Instead, they modeled each play as a whole,   dles specified earlier. Thus, actual ERR/TRR ratios for the
            using probability distributions that encompassed the vari-  Barnett and Eagle Ford gas window are potentially greater
            ability in reservoir properties across the field as well as the   than the ERR/TRR ratios presented in this chapter.
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