Forecast of economic gas production in the Marcellus Shale
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作者:
Saputra, Wardana
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King Abdullah Univ Sci & Technol KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi Arabia
Univ Texas Austin, Hildebrand Dept Petr & Geosyst Engn, Austin, TX 78712 USAKing Abdullah Univ Sci & Technol KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi Arabia
Saputra, Wardana
[1
,2
]
Kirati, Wissem
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KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi ArabiaKing Abdullah Univ Sci & Technol KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi Arabia
Kirati, Wissem
[3
]
Hughes, David
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Global Sustainabil Res, Calgary, AB, CanadaKing Abdullah Univ Sci & Technol KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi Arabia
Hughes, David
[4
]
Patzek, Tadeusz W.
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KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi ArabiaKing Abdullah Univ Sci & Technol KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi Arabia
Patzek, Tadeusz W.
[3
]
机构:
[1] King Abdullah Univ Sci & Technol KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi Arabia
[2] Univ Texas Austin, Hildebrand Dept Petr & Geosyst Engn, Austin, TX 78712 USA
[3] KAUST, Ali I Al Naimi Petr Engn Res Ctr, Thuwal, Saudi Arabia
INCREMENTAL PRODUCTION;
EFFECTIVE PERMEABILITY;
DRAINAGE AREA;
FIELD DATA;
IMPACT;
MODEL;
D O I:
10.1306/10242221078
中图分类号:
P [天文学、地球科学];
学科分类号:
07 ;
摘要:
We apply a hybrid data -driven and physics -based method to predict the most likely futures of gas production from the largest mudrock formation in North America, the Marcellus Shale play. We first divide the >= 100,000 mi(2) of the Marcellus Shale into four regions with different reservoir qualities: the northeastern and southwestern cores and the noncore and outer areas. Second, we define four temporal well cohorts per region, with the well completion dates that reflect modern completion methods. Third, for each cohort, we use generalized extreme value statistics to obtain historical well prototypes of average gas production. Fourth, cumulative production from each well prototype is matched with a physics -based scaling model and extrapolated for two more decades. The resulting well prototypes are exceptionally robust. If we replace production rates from all of the wells in a given cohort with their corresponding well prototype, time shift the prototype well according to the date of first production from each well, and sum up the production, then this summation matches rather remarkably the historical gas field rate. The summation of production from the existing wells yields a base or do-nothing forecast. Fifth, we schedule the likely future drilling programs to forecast infill scenarios. The Marcellus Shale is predicted to produce 85 trillion SCF (TSCF) of gas from 12,406 existing wells. By drilling similar to 3700 and similar to 7800 new wells in the core and noncore areas, the estimated ultimate recovery is poised to increase to similar to 180 TSCF. In contrast to data from the Energy Information Administration, we show that drilling in the Marcellus outer area is uneconomic.
机构:
King Abdullah Univ Sci & Technol, Ali I Al Naimi Petr Engn Res Ctr, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Ali I Al Naimi Petr Engn Res Ctr, Thuwal 239556900, Saudi Arabia
Saputra, Wardana
Kirati, Wissem
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King Abdullah Univ Sci & Technol, Ali I Al Naimi Petr Engn Res Ctr, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Ali I Al Naimi Petr Engn Res Ctr, Thuwal 239556900, Saudi Arabia
Kirati, Wissem
Patzek, Tadeusz
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机构:
King Abdullah Univ Sci & Technol, Ali I Al Naimi Petr Engn Res Ctr, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Ali I Al Naimi Petr Engn Res Ctr, Thuwal 239556900, Saudi Arabia
机构:
US DOE, Natl Energy Technol Lab, Morgantown, WV 26505 USA
W Virginia Univ, Div Plant & Soil Sci, Morgantown, WV 26505 USAUS DOE, Natl Energy Technol Lab, Morgantown, WV 26505 USA
Tucker, Yael Tarlovsky
Kotcon, James
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W Virginia Univ, Div Plant & Soil Sci, Morgantown, WV 26505 USAUS DOE, Natl Energy Technol Lab, Morgantown, WV 26505 USA
Kotcon, James
Mroz, Thomas
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机构:
US DOE, Natl Energy Technol Lab, Morgantown, WV 26505 USAUS DOE, Natl Energy Technol Lab, Morgantown, WV 26505 USA
机构:
Department of Civil and Environmental Engineering, Stanford University, Stanford,CA, United StatesDepartment of Civil and Environmental Engineering, Stanford University, Stanford,CA, United States
Zanocco, Chad
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Boudet, Hilary
Clarke, Christopher E.
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机构:
Department of Communication, George Mason University, Fairfax,VA, United StatesDepartment of Civil and Environmental Engineering, Stanford University, Stanford,CA, United States
Clarke, Christopher E.
Stedman, Richard
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Department of Natural Resources, Cornell University, Ithaca,NY, United StatesDepartment of Civil and Environmental Engineering, Stanford University, Stanford,CA, United States
Stedman, Richard
Evensen, Darrick
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机构:
Department of Politics and International Relations, University of Edinburgh, Edinburgh, United KingdomDepartment of Civil and Environmental Engineering, Stanford University, Stanford,CA, United States