Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells

Abstract Capacitance–resistance model (CRM) is a nonlinear signal processing approach that provides information about interwell communication and reservoir heterogeneity. Several forms of CRM have been introduced; however, they would deliver erroneous model parameters if production history involves...

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Main Authors: Mohammad Salehian, Murat Çınar
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Online Access:http://link.springer.com/article/10.1007/s13202-019-0655-4
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author Mohammad Salehian
Murat Çınar
author_facet Mohammad Salehian
Murat Çınar
author_sort Mohammad Salehian
collection DOAJ
description Abstract Capacitance–resistance model (CRM) is a nonlinear signal processing approach that provides information about interwell communication and reservoir heterogeneity. Several forms of CRM have been introduced; however, they would deliver erroneous model parameters if production history involves shut-in period. To address this issue, this study presents a dynamic capacitance–resistance model (D-CRMP), a comprehensive formulation that is capable of handling multiple shut-in periods in different producers. CRM model parameters are representative of the geological information. Accordingly, two geologically identical synthetic examples are used to validate D-CRMP; one including shut-in periods in historical production data of some producers and the other one with all continuously operating wells. Obtaining the same model parameters and the high quality of fitting in both cases proved the reliability of D-CRMP, which allows the utilization of historical data to characterize the reservoir behavior in real cases. Investigation of uncertainty on the fitted model parameters was also performed to demonstrate that confidence intervals are affected mostly by two aspects; permeability distribution and interwell distance. It is shown that though the confidence intervals in the heterogeneous fields are relatively higher than the homogeneous examples, higher permeability and lower producer–injector distance reduce the uncertainty of model parameters in both cases. This study also applies the proposed model in reservoirs with horizontal wells and further examines the impact of well direction and length of the productive interval on the connectivities between wells.
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spelling doaj.art-ebf00d5c3fcb4f0eaa0eb78e722f1e822022-12-22T04:28:55ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662019-04-01942811283010.1007/s13202-019-0655-4Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wellsMohammad Salehian0Murat Çınar1Department of Petroleum and Natural Gas Engineering, Istanbul Technical UniversityDepartment of Petroleum and Natural Gas Engineering, Istanbul Technical UniversityAbstract Capacitance–resistance model (CRM) is a nonlinear signal processing approach that provides information about interwell communication and reservoir heterogeneity. Several forms of CRM have been introduced; however, they would deliver erroneous model parameters if production history involves shut-in period. To address this issue, this study presents a dynamic capacitance–resistance model (D-CRMP), a comprehensive formulation that is capable of handling multiple shut-in periods in different producers. CRM model parameters are representative of the geological information. Accordingly, two geologically identical synthetic examples are used to validate D-CRMP; one including shut-in periods in historical production data of some producers and the other one with all continuously operating wells. Obtaining the same model parameters and the high quality of fitting in both cases proved the reliability of D-CRMP, which allows the utilization of historical data to characterize the reservoir behavior in real cases. Investigation of uncertainty on the fitted model parameters was also performed to demonstrate that confidence intervals are affected mostly by two aspects; permeability distribution and interwell distance. It is shown that though the confidence intervals in the heterogeneous fields are relatively higher than the homogeneous examples, higher permeability and lower producer–injector distance reduce the uncertainty of model parameters in both cases. This study also applies the proposed model in reservoirs with horizontal wells and further examines the impact of well direction and length of the productive interval on the connectivities between wells.http://link.springer.com/article/10.1007/s13202-019-0655-4Capacitance-resistance modelReservoir characterizationHistory matchingWaterfloodShut-in wellHorizontal well
spellingShingle Mohammad Salehian
Murat Çınar
Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells
Journal of Petroleum Exploration and Production Technology
Capacitance-resistance model
Reservoir characterization
History matching
Waterflood
Shut-in well
Horizontal well
title Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells
title_full Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells
title_fullStr Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells
title_full_unstemmed Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells
title_short Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells
title_sort reservoir characterization using dynamic capacitance resistance model with application to shut in and horizontal wells
topic Capacitance-resistance model
Reservoir characterization
History matching
Waterflood
Shut-in well
Horizontal well
url http://link.springer.com/article/10.1007/s13202-019-0655-4
work_keys_str_mv AT mohammadsalehian reservoircharacterizationusingdynamiccapacitanceresistancemodelwithapplicationtoshutinandhorizontalwells
AT muratcınar reservoircharacterizationusingdynamiccapacitanceresistancemodelwithapplicationtoshutinandhorizontalwells