IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i8p2052-d347921.html
   My bibliography  Save this article

Physical Scaling of Oil Production Rates and Ultimate Recovery from All Horizontal Wells in the Bakken Shale

Author

Listed:
  • Wardana Saputra

    (The Ali I. Al-Naimi Petroleum Engineering Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia)

  • Wissem Kirati

    (The Ali I. Al-Naimi Petroleum Engineering Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia)

  • Tadeusz Patzek

    (The Ali I. Al-Naimi Petroleum Engineering Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia)

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.

Suggested Citation

  • Wardana Saputra & Wissem Kirati & Tadeusz Patzek, 2020. "Physical Scaling of Oil Production Rates and Ultimate Recovery from All Horizontal Wells in the Bakken Shale," Energies, MDPI, vol. 13(8), pages 1-29, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:2052-:d:347921
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/8/2052/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/8/2052/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wardana Saputra & Wissem Kirati & Tadeusz Patzek, 2019. "Generalized Extreme Value Statistics, Physical Scaling and Forecasts of Oil Production in the Bakken Shale," Energies, MDPI, vol. 12(19), pages 1-24, September.
    2. Lei Tan & Lihua Zuo & Binbin Wang, 2018. "Methods of Decline Curve Analysis for Shale Gas Reservoirs," Energies, MDPI, vol. 11(3), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tadeusz W. Patzek & Ahmed M. Saad & Ahmed Hassan, 2022. "Multimodal Carbonates: Distribution of Oil Saturation in the Microporous Regions of Arab Formations," Energies, MDPI, vol. 15(3), pages 1-13, February.
    2. Ksenia M. Kaprielova & Maxim P. Yutkin & Mahmoud Mowafi & Ahmed Gmira & Subhash Ayirala & Ali Yousef & Clayton J. Radke & Tadeusz W. Patzek, 2024. "Improved Amott Method to Determine Oil Recovery Dynamics from Water-Wet Limestone Using GEV Statistics," Energies, MDPI, vol. 17(14), pages 1-20, July.
    3. Guangjuan Fan & Ting Dong & Yuejun Zhao & Yalou Zhou & Wentong Zhao & Jie Wang & Yilong Wang, 2023. "Establishment and Application of a Pattern for Identifying Sedimentary Microfacies of a Single Horizontal Well: An Example from the Eastern Transition Block in the Daqing Oilfield, Songliao Basin, Chi," Energies, MDPI, vol. 16(20), pages 1-19, October.
    4. Syed Haider & Wardana Saputra & Tadeusz Patzek, 2020. "The Key Factors That Determine the Economically Viable, Horizontal Hydrofractured Gas Wells in Mudrocks," Energies, MDPI, vol. 13(9), pages 1-22, May.
    5. Timofey Eltsov & Maxim Yutkin & Tadeusz W. Patzek, 2020. "Text Analysis Reveals Major Trends in Exploration Geophysics," Energies, MDPI, vol. 13(17), pages 1-15, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wardana Saputra & Wissem Kirati & Tadeusz Patzek, 2021. "Forecast of Economic Tight Oil and Gas Production in Permian Basin," Energies, MDPI, vol. 15(1), pages 1-22, December.
    2. Jia Liu & Jianguo Wang & Chunfai Leung & Feng Gao, 2018. "A Fully Coupled Numerical Model for Microwave Heating Enhanced Shale Gas Recovery," Energies, MDPI, vol. 11(6), pages 1-28, June.
    3. Xuechen Li & Xinfang Ma & Fengchao Xiao & Fei Wang & Shicheng Zhang, 2020. "Application of Gated Recurrent Unit (GRU) Neural Network for Smart Batch Production Prediction," Energies, MDPI, vol. 13(22), pages 1-22, November.
    4. Zhang, Xian-min & Chen, Bai-yan-yue & Zheng, Zhuang-zhuang & Feng, Qi-hong & Fan, Bin, 2023. "New methods of coalbed methane production analysis based on the generalized gamma distribution and field applications," Applied Energy, Elsevier, vol. 350(C).
    5. Prinisha Manda & Diakanua Bavon Nkazi, 2020. "The Evaluation and Sensitivity of Decline Curve Modelling," Energies, MDPI, vol. 13(11), pages 1-16, June.
    6. Timofey Eltsov & Maxim Yutkin & Tadeusz W. Patzek, 2020. "Text Analysis Reveals Major Trends in Exploration Geophysics," Energies, MDPI, vol. 13(17), pages 1-15, September.
    7. Louis Delannoy & Pierre-Yves Longaretti & David. J. Murphy & Emmanuel Prados, 2021. "Assessing Global Long-Term EROI of Gas: A Net-Energy Perspective on the Energy Transition," Energies, MDPI, vol. 14(16), pages 1-16, August.
    8. Daniela A. Arias Ortiz & Lukasz Klimkowski & Thomas Finkbeiner & Tadeusz W. Patzek, 2021. "The Effect of Hydraulic Fracture Geometry on Well Productivity in Shale Oil Plays with High Pore Pressure," Energies, MDPI, vol. 14(22), pages 1-19, November.
    9. Syed Haider & Wardana Saputra & Tadeusz Patzek, 2020. "The Key Factors That Determine the Economically Viable, Horizontal Hydrofractured Gas Wells in Mudrocks," Energies, MDPI, vol. 13(9), pages 1-22, May.
    10. Tadeusz W. Patzek & Ahmed M. Saad & Ahmed Hassan, 2022. "Multimodal Carbonates: Distribution of Oil Saturation in the Microporous Regions of Arab Formations," Energies, MDPI, vol. 15(3), pages 1-13, February.
    11. Maojun Cao & Yu Dai & Ling Zhao & Yuele Jia & Yueru Jia, 2018. "Hybrid Coupled Multifracture and Multicontinuum Models for Shale Gas Simulation by Use of Semi-Analytical Approach," Energies, MDPI, vol. 11(5), pages 1-20, May.
    12. Na Wei & Wantong Sun & Yingfeng Meng & Jinzhou Zhao & Bjørn Kvamme & Shouwei Zhou & Liehui Zhang & Qingping Li & Yao Zhang & Lin Jiang & Haitao Li & Jun Pei, 2020. "Hydrate Formation and Decomposition Regularities in Offshore Gas Reservoir Production Pipelines," Energies, MDPI, vol. 13(1), pages 1-22, January.
    13. Catalin Popescu & Sorin Alexandru Gheorghiu, 2021. "Economic Analysis and Generic Algorithm for Optimizing the Investments Decision-Making Process in Oil Field Development," Energies, MDPI, vol. 14(19), pages 1-24, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:2052-:d:347921. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.