A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting
Capacitance resistance models (CRMs) comprise a family of material balance reservoir models that have been applied to primary, secondary and tertiary recovery processes. CRMs predict well flow rates based solely on previously observed production and injection rates, and producers’ bottomho...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/11/12/3368 |
| _version_ | 1798038619445788672 |
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| author | Rafael Wanderley de Holanda Eduardo Gildin Jerry L. Jensen Larry W. Lake C. Shah Kabir |
| author_facet | Rafael Wanderley de Holanda Eduardo Gildin Jerry L. Jensen Larry W. Lake C. Shah Kabir |
| author_sort | Rafael Wanderley de Holanda |
| collection | DOAJ |
| description | Capacitance resistance models (CRMs) comprise a family of material balance reservoir models that have been applied to primary, secondary and tertiary recovery processes. CRMs predict well flow rates based solely on previously observed production and injection rates, and producers’ bottomhole pressures (BHPs); i.e., a geological model and rock/fluid properties are not required. CRMs can accelerate the learning curve of the geological analysis by providing interwell connectivity maps to corroborate features such as sealing faults and channels, as well as diagnostic plots to determine sweep efficiency and reservoir compartmentalization. Additionally, it is possible to compute oil and water rates by coupling a fractional flow model to CRMs which enables, for example, optimization of injected fluids allocation in mature fields. This literature review covers the spectrum of the CRM theory and conventional reservoir field applications, critically discussing their advantages and limitations, and recommending potential improvements. This review is timely because over the last decade there has been a significant increase in the number of publications in this subject; however, a paper dedicated to summarize them has not yet been presented. |
| first_indexed | 2024-04-11T21:42:56Z |
| format | Article |
| id | doaj.art-4d1ffb2a05cd491d9193b73789853b55 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T21:42:56Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4d1ffb2a05cd491d9193b73789853b552022-12-22T04:01:32ZengMDPI AGEnergies1996-10732018-12-011112336810.3390/en11123368en11123368A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance ForecastingRafael Wanderley de Holanda0Eduardo Gildin1Jerry L. Jensen2Larry W. Lake3C. Shah Kabir4Petroleum Engineering Department, Texas A&M University, College Station, TX 77843-3116, USAPetroleum Engineering Department, Texas A&M University, College Station, TX 77843-3116, USAChemical and Petroleum Engineering Department, University of Calgary, Calgary, AB T2N-1N4, CanadaDepartment of Petroleum and Geosystems Engineering, University of Texas, Austin, TX 78712-1585, USADepartment of Petroleum Engineering, University of Houston, Houston, TX 77204-0945, USACapacitance resistance models (CRMs) comprise a family of material balance reservoir models that have been applied to primary, secondary and tertiary recovery processes. CRMs predict well flow rates based solely on previously observed production and injection rates, and producers’ bottomhole pressures (BHPs); i.e., a geological model and rock/fluid properties are not required. CRMs can accelerate the learning curve of the geological analysis by providing interwell connectivity maps to corroborate features such as sealing faults and channels, as well as diagnostic plots to determine sweep efficiency and reservoir compartmentalization. Additionally, it is possible to compute oil and water rates by coupling a fractional flow model to CRMs which enables, for example, optimization of injected fluids allocation in mature fields. This literature review covers the spectrum of the CRM theory and conventional reservoir field applications, critically discussing their advantages and limitations, and recommending potential improvements. This review is timely because over the last decade there has been a significant increase in the number of publications in this subject; however, a paper dedicated to summarize them has not yet been presented.https://www.mdpi.com/1996-1073/11/12/3368capacitance-resistance modelreservoir modelingmaterial balancewaterfloodingenhanced oil recovery |
| spellingShingle | Rafael Wanderley de Holanda Eduardo Gildin Jerry L. Jensen Larry W. Lake C. Shah Kabir A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting Energies capacitance-resistance model reservoir modeling material balance waterflooding enhanced oil recovery |
| title | A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting |
| title_full | A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting |
| title_fullStr | A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting |
| title_full_unstemmed | A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting |
| title_short | A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting |
| title_sort | state of the art literature review on capacitance resistance models for reservoir characterization and performance forecasting |
| topic | capacitance-resistance model reservoir modeling material balance waterflooding enhanced oil recovery |
| url | https://www.mdpi.com/1996-1073/11/12/3368 |
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