Drilling Down on Shale Depletion Rates

The Shale Revolution has substantially increased America’s output of oil, natural gas and natural gas liquids. We often use the chart below to highlight this exponential growth.

Those exponential curves are going to flatten, not only because nothing can rise that fast indefinitely, but also because of the high initial depletion rates of fracked wells.

The chart above from Goldman Sachs provides a useful picture of shale oil production, which shows a gently flattening growth curve. It can be helpful to examine more closely how the lifecycles of cumulative wells combine to render growth ever harder to achieve.

The chart below is a theoretical model, showing a shale oil play in which production drops at 50% annually from previously drilled wells, while at the same time new wells are fracked each year with initial production of 1.6 million barrels per day (MMB/D).

It’s a busy chart but worth a moment to examine carefully.

Year 1 production of 1.6 MMB/D experiences 50% depletion in Year 2, of 0.8 MMB/D. But new production of another 1.6 MMB/D raises Year 2 total productioln to 2.4 MMB/D, a 50% jump.

Follow the successive depletion arrows from Year 1 production through Years 3-5, and you’ll see that they’re joined by depletion from later years of production. By Year 5, depletion from the four prior years totals 1.5 MMB/D, almost negating that year’s new production.

This illustrates a fundamental advantage of “tight” oil over conventional production. Output can rise very quickly and capital is invested over time in successive wells. This creates the short-cycle feature since capital is recycled very quickly (see Shale Cycles Faster, Boosting Returns). Moreover, if prices drop in, say, Year 3 the E&P company in this example can simply stop drilling. Production quickly plummets, since New Production is at least half of Total Production.

The model is intended to provide a couple of insights. One is that after an initial ramp up, production has to flatten. The other is that production can quickly fall, and following an initial sharp recovery starts to plateau again. This is visible on the Goldman chart during the 2014-16 oil collapse.

Our model is simplistic to illustrate a point. Productivity continues to improve, technology enhancements are regularly found, and the most productive areas are often drilled first. These and other factors will all obscure the depletion effect illustrated.

The chart above is an estimate of what we expect U.S. shale oil production growth to be from now until 2025.

A final interesting note is that this depletion effect is much more pronounced with oil wells versus natural gas. Crude wells experience faster initial depletion. This tends to shift the Oil-Gas ratio in favor of the latter, and also means that the inexorable drag on total output caused by depletion is less pronounced for natural gas wells compared with crude oil. The pair of charts above illustrate this. It’s partly why natural gas output is likely to continue growing, keeping prices depressed. By contrast, growth in U.S. crude output is likely to moderate. This is net bearish for natural gas prices and bullish for oil.

If you missed our webinar last week, titled “Volumes, Cashflow and ESG”, here’s a link to a replay.

SL Advisors is the sub-advisor to the Catalyst MLP & Infrastructure Fund. To learn more about the Fund, please click here.

SL Advisors is also the advisor to an ETF (USAIETF.com).

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3 replies
  1. Elliot Miller
    Elliot Miller says:

    The slower rate of depletion of natural gas as compared to oil may be bearish for natural gas prices but it’s bullish for entities that gather, process, compress, store, fractionate and transport gas.

    • Don McGill
      Don McGill says:

      That was my first thought as I finished reading.

      Also, the analysis is interesting as far as it goes, however bills aren’t paid with barrels but with dollars, and oil prices are highly sensitive to the supply/demand balance. It would be interesting to see what total revenue dollars do under various situational models.


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