Abstract

A recent study by the Wall Street Journal reveals that the hydrofractured horizontal wells in shales have been producing less than the industrial forecasts with the empirical hyperbolic decline curve analysis (DCA). As an alternative to DCA, we introduce a simple, fast and accurate method of estimating ultimate recovery in oil shales. We adopt a physics-based scaling approach to analyze oil rates and ultimate recovery from 14,888 active horizontal oil wells in the Bakken shale. To predict the Estimated Ultimate Recovery (EUR), we collapse production records from individual horizontal shale oil wells onto two segments of a master curve: (1) We find that cumulative oil production from 4845 wells is still growing linearly with the square root of time; and (2) 6401 wells are already in exponential decline after approximately seven years on production. In addition, 2363 wells have discontinuous production records, because of refracturing or changes in downhole flowing pressure, and are matched with a linear combination of scaling curves superposed in time. The remaining 1279 new wells with less than 12 months on production have too few production records to allow for robust matches. These wells are scaled with the slopes of other comparable wells in the square-root-of-time flow regime. In the end, we predict that total ultimate recovery from all existing horizontal wells in Bakken will be some 4.5 billion barrels of oil. We also find that wells completed in the Middle Bakken formation, in general, produce more oil than those completed in the Upper Three Forks formation. The newly completed longer wells with larger hydrofractures have higher initial production rates, but they decline faster and have EURs similar to the cheaper old wells. There is little correlation among EUR, lateral length, and the number and size of hydrofractures. Therefore, technology may not help much in boosting production of new wells completed in the poor immature areas along the edges of the Williston Basin. Operators and policymakers may use our findings to optimize the possible futures of the Bakken shale and other plays. More importantly, the petroleum industry may adopt our physics-based method as an alternative to the overly optimistic hyperbolic DCA that yields an ‘illusory picture’ of shale oil resources.

Highlights

  • In early 2019, seven major shale plays in the US produced nearly 70% of total US oil production.The Bakken shale is the second largest oil-producing play that in mid-2019 produced 1.45 million bbl of oil per day from 14,888 active horizontal hydrofractured wells

  • The most popular way of predicting estimated ultimate recovery (EUR) from a shale well is the traditional decline curve analysis (DCA) proposed by Arps [3] 75 years ago. This method is favored by the industry, because it only requires production data to forecast future performance of each well and it is easy to implement for many wells

  • We have delivered a comprehensive physics-based scaling of all horizontal hydrofractured wells completed in the Middle Bakken and Upper Three Forks between 1 January 2000, and 1 May 2019

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Summary

Introduction

In early 2019, seven major shale plays in the US produced nearly 70% of total US oil production.The Bakken shale is the second largest oil-producing play that in mid-2019 produced 1.45 million bbl of oil per day from 14,888 active horizontal hydrofractured wells. It is important to have a reliable predictive model of oil production and ultimate recovery in the Bakken and other shale plays. Energies 2020, 13, 2052 the estimated ultimate recovery (EUR) per well is the key indicator used to assess fieldwide production potential. The most popular way of predicting EUR from a shale well is the traditional decline curve analysis (DCA) proposed by Arps [3] 75 years ago. This method is favored by the industry, because it only requires production data to forecast future performance of each well and it is easy to implement for many wells. Good examples are the Bakken predictions by the US Geological Survey [4,5] and US DOE Energy Information Administration [6]

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