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Geomechanics-Reservoir Coupled Simulation for Well Spacing Optimization in Eddy County in Delaware Basin, New Mexico.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Geomechanics-Reservoir Coupled Simulation for Well Spacing Optimization in Eddy County in Delaware Basin, New Mexico./
作者:	Bui, Dung.
面頁冊數:	1 online resource (172 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
Contained By:	Dissertations Abstracts International85-02B.
標題:	Petroleum engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30568890click for full text (PQDT)
ISBN:	9798380111997

Geomechanics-Reservoir Coupled Simulation for Well Spacing Optimization in Eddy County in Delaware Basin, New Mexico.
Bui, Dung.

Geomechanics-Reservoir Coupled Simulation for Well Spacing Optimization in Eddy County in Delaware Basin, New Mexico. - 1 online resource (172 pages)

Source: Dissertations Abstracts International, Volume: 85-02, Section: B.

Thesis (Ph.D.)--New Mexico Institute of Mining and Technology, 2023.

Includes bibliographical references

Well spacing optimization is one of the most important topics in the development of unconventional reservoirs in the U.S. Thousands of wells were drilled in the Wolfcamp formation in the Delaware Basin, but the optimal well spacing in Eddy County remains unclear. Several approaches were presented to address this problem, including reviewing case studies, introducing multiple advanced monitoring techniques for hydraulic fracturing, developing analytical solutions, applying big data, and simulation studies. Among them, the numerical simulation approach exhibits numerous advantages in deploying and understanding the results. This research presents a new approach to utilizing the geomechanics-reservoir coupled model in estimating hydraulic fracture propagations and well spacing optimization in the Wolfcamp A-XY formation in Eddy County in the Delaware Basin, New Mexico. The field data of four adjacent fractured horizontal wells in the studied formation were examined. A complete integrated workflow was provided, including building the coupled model, history matching, well spacing analysis, additional analyses, forecasting, and applying matching learning in the oil recovery prediction.The proposed approach combined geomechanics properties with a dual permeability reservoir simulation in a two-way coupled model, which can simulate fracture propagations of multiple wells in the formation of interest. The geomechanical properties were estimated by a 1D mechanical earth model using log data of a pilot well in the same formation. The fractures simulation of the investigated wells was validated by history matching (1) injection bottom hole pressure during the hydraulic fracturing and (2) production and flowing bottom hole pressure during the production phase. Then, the matched model was used to perform well spacing, number of fracture stages, and fracture timing analysis for an infill well in the Wolfcamp A-XY formation. Furthermore, three proxy models were trained to effectively represent the high-fidelity numerical simulation in forecasting oil production.The results of the 1D geomechanical earth model showed a normal faulting regime in the formation with the minimum, maximum, and overburden stress gradients of 0.78, 0.86, and 1.09 psi/ft, respectively. The coupled model successfully simulated fracture propagations of four adjacent multi-fractured wells in 3D using fracture data from the field. The fracture results were validated by satisfactorily matching injection and production historical data. The estimated fracture geometry of the parent well varies from 75 to 1200 ft halflength and 150 to 318 ft height for each stage. The findings demonstrate that the fracture geometry complies with variations in stress conditions during fracture fluid injection. The validated model provided insight into well communications, the effect of parent wells' production and depletion on child wells' fracture propagations, proppant permeability under closure stress, and stress shadowing effect on fracture reorientation. Well-spacing analysis between parent and child wells was conducted from 850 to 1650 ft with a 100 ft increment. The optimal well spacing in the formation of interest was specified at 1050 ft, corresponding with the highest cumulative production. The number of fracture stages analysis also suggested the optimal values to minimize the operational costs and maintain the entire field performance at the same time. Moreover, the depletion zones created by long-time production of the parent wells are the most sensitive factor that could detrimentally affect the child well's fracture propagation. Therefore, the ideal timeframe for child well hydraulic fracturing was analyzed to optimize the entire process. In addition, three proxy models representing the full physic numerical simulation were trained using multiple linear regression, nonparametric transformation technique, and Artificial Neural Network algorithm. The proposed surrogate models expressed strong correlations between estimated ultimate recovery (EUR) and selected predictors comprising well spacing, number of fracture stages, injection rate while fracturing, and flowing bottom hole pressure during the production phase. Using proxy models, one can conveniently forecast total oil recovery considering different operating conditions in the studied field. The novelties of this research are in the ability to effectively estimate the optimal well spacing, number of fracture stages, and timing of fracturing child well in the Wolfcamp A formation in the Delaware Basin using a 3D coupled model. Following the proposed workflow, one can optimize the hydraulic fracturing process in other formations. A number of future works can be done based on the findings of this research, including but not limited to examining various field development scenarios, changing fracture designs and proppant types, and expanding predictors in the proxy model to better predict total oil recovery.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798380111997Subjects--Topical Terms:

566616
Petroleum engineering.
Subjects--Index Terms:

Applied machine learning workflowIndex Terms--Genre/Form:

542853
Electronic books.

Geomechanics-Reservoir Coupled Simulation for Well Spacing Optimization in Eddy County in Delaware Basin, New Mexico.
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504 $a Includes bibliographical references
520 $a Well spacing optimization is one of the most important topics in the development of unconventional reservoirs in the U.S. Thousands of wells were drilled in the Wolfcamp formation in the Delaware Basin, but the optimal well spacing in Eddy County remains unclear. Several approaches were presented to address this problem, including reviewing case studies, introducing multiple advanced monitoring techniques for hydraulic fracturing, developing analytical solutions, applying big data, and simulation studies. Among them, the numerical simulation approach exhibits numerous advantages in deploying and understanding the results. This research presents a new approach to utilizing the geomechanics-reservoir coupled model in estimating hydraulic fracture propagations and well spacing optimization in the Wolfcamp A-XY formation in Eddy County in the Delaware Basin, New Mexico. The field data of four adjacent fractured horizontal wells in the studied formation were examined. A complete integrated workflow was provided, including building the coupled model, history matching, well spacing analysis, additional analyses, forecasting, and applying matching learning in the oil recovery prediction.The proposed approach combined geomechanics properties with a dual permeability reservoir simulation in a two-way coupled model, which can simulate fracture propagations of multiple wells in the formation of interest. The geomechanical properties were estimated by a 1D mechanical earth model using log data of a pilot well in the same formation. The fractures simulation of the investigated wells was validated by history matching (1) injection bottom hole pressure during the hydraulic fracturing and (2) production and flowing bottom hole pressure during the production phase. Then, the matched model was used to perform well spacing, number of fracture stages, and fracture timing analysis for an infill well in the Wolfcamp A-XY formation. Furthermore, three proxy models were trained to effectively represent the high-fidelity numerical simulation in forecasting oil production.The results of the 1D geomechanical earth model showed a normal faulting regime in the formation with the minimum, maximum, and overburden stress gradients of 0.78, 0.86, and 1.09 psi/ft, respectively. The coupled model successfully simulated fracture propagations of four adjacent multi-fractured wells in 3D using fracture data from the field. The fracture results were validated by satisfactorily matching injection and production historical data. The estimated fracture geometry of the parent well varies from 75 to 1200 ft halflength and 150 to 318 ft height for each stage. The findings demonstrate that the fracture geometry complies with variations in stress conditions during fracture fluid injection. The validated model provided insight into well communications, the effect of parent wells' production and depletion on child wells' fracture propagations, proppant permeability under closure stress, and stress shadowing effect on fracture reorientation. Well-spacing analysis between parent and child wells was conducted from 850 to 1650 ft with a 100 ft increment. The optimal well spacing in the formation of interest was specified at 1050 ft, corresponding with the highest cumulative production. The number of fracture stages analysis also suggested the optimal values to minimize the operational costs and maintain the entire field performance at the same time. Moreover, the depletion zones created by long-time production of the parent wells are the most sensitive factor that could detrimentally affect the child well's fracture propagation. Therefore, the ideal timeframe for child well hydraulic fracturing was analyzed to optimize the entire process. In addition, three proxy models representing the full physic numerical simulation were trained using multiple linear regression, nonparametric transformation technique, and Artificial Neural Network algorithm. The proposed surrogate models expressed strong correlations between estimated ultimate recovery (EUR) and selected predictors comprising well spacing, number of fracture stages, injection rate while fracturing, and flowing bottom hole pressure during the production phase. Using proxy models, one can conveniently forecast total oil recovery considering different operating conditions in the studied field. The novelties of this research are in the ability to effectively estimate the optimal well spacing, number of fracture stages, and timing of fracturing child well in the Wolfcamp A formation in the Delaware Basin using a 3D coupled model. Following the proposed workflow, one can optimize the hydraulic fracturing process in other formations. A number of future works can be done based on the findings of this research, including but not limited to examining various field development scenarios, changing fracture designs and proppant types, and expanding predictors in the proxy model to better predict total oil recovery.
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