Rapid productivity prediction method for frac hits affected wells based on gas reservoir numerical simulation and probability method
Abstract: As an important unconventional resource, shale gas can alleviate energy shortage, and its efficient development ensures the long-term growth of oil and gas. The prediction of production levels and estimated ultimate recovery with high accuracy is necessary for shale gas development. Conventional methods are widely applied in the oil and gas industry owing to their simplicity and effectiveness; however, none of them can accurately predict the results for frac hits affected wells. In this work, a probability method based on the numerical model of shale gas reservoir has been formed. In view of the impact of frac hits on the productivity of production wells during the development of shale gas reservoirs, an embedded discrete fractured numerical simulation method for gas reservoirs is proposed to simulate the geological engineering parameter range of wells before frac. And aiming at the established numerical model of shale gas reservoir, this method adopts the ensemble smoother with multiple data assimilation automatic history matching technology to carry out the history matching process of the model. Based on the probability theory and numerical simulation results, this study analyses the influence of different distribution functions of parameters on the calculation results of reserves, and obtains the expected curve of reserves through combination calculation. Besides, the effectiveness of this method was verified by comparing with other traditional predicted method.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Rapid productivity prediction method for frac hits affected wells based on gas reservoir numerical simulation and probability method ; volume:21 ; number:1 ; year:2023 ; extent:12
Open physics ; 21, Heft 1 (2023) (gesamt 12)
- Urheber
-
Nie, Jie
Wang, Hao
Hao, Yuexiang
- DOI
-
10.1515/phys-2022-0233
- URN
-
urn:nbn:de:101:1-2023030414281658864067
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:03 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Nie, Jie
- Wang, Hao
- Hao, Yuexiang
Ähnliche Objekte (12)
Multivariate Dichteschätzung in der explorativen Datenanalyse
A Reliability Allocation Method of CNC Lathes Based on Copula Failure Correlation Model
Research on the location decision-making method of emergency medical facilities based on WSR
A multivariable optical remote sensing image feature discretization method applied to marine vessel targets recognition
"A study on the development of China's laser & optoelectronic technology and industry" : with city cases of Wuhan, Shanghai and Changchun
Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency
A study on the development of China's laser & optoelectronic technology and industry : with city cases of Wuhan, Shanghai and Changchun
Why Should We Care About the Manipulative Power of Algorithmic Transparency?
The Study of Spray-Freeze-Drying Technique for Development of Novel Combination pMDIs, Part I: Study on the Preparation Method
A fungal phylogeny based on 82 complete genomes using the composition vector method
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method
RaiseAuth: a novel bio-behavioral authentication method based on ultra-low-complexity movement
Multivariate Dichteschätzung in der explorativen Datenanalyse
A Reliability Allocation Method of CNC Lathes Based on Copula Failure Correlation Model
Research on the location decision-making method of emergency medical facilities based on WSR
A multivariable optical remote sensing image feature discretization method applied to marine vessel targets recognition
"A study on the development of China's laser & optoelectronic technology and industry" : with city cases of Wuhan, Shanghai and Changchun
Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency
A study on the development of China's laser & optoelectronic technology and industry : with city cases of Wuhan, Shanghai and Changchun
Why Should We Care About the Manipulative Power of Algorithmic Transparency?
The Study of Spray-Freeze-Drying Technique for Development of Novel Combination pMDIs, Part I: Study on the Preparation Method
A fungal phylogeny based on 82 complete genomes using the composition vector method
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method
RaiseAuth: a novel bio-behavioral authentication method based on ultra-low-complexity movement
Multivariate Dichteschätzung in der explorativen Datenanalyse
A Reliability Allocation Method of CNC Lathes Based on Copula Failure Correlation Model
Research on the location decision-making method of emergency medical facilities based on WSR
A multivariable optical remote sensing image feature discretization method applied to marine vessel targets recognition
"A study on the development of China's laser & optoelectronic technology and industry" : with city cases of Wuhan, Shanghai and Changchun
Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency
A study on the development of China's laser & optoelectronic technology and industry : with city cases of Wuhan, Shanghai and Changchun
Why Should We Care About the Manipulative Power of Algorithmic Transparency?
The Study of Spray-Freeze-Drying Technique for Development of Novel Combination pMDIs, Part I: Study on the Preparation Method
A fungal phylogeny based on 82 complete genomes using the composition vector method
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method