Next Article in Journal
Power-Split Hydrostatic Transmissions for Wind Energy Systems
Next Article in Special Issue
Simulation-Based Evaluation and Optimization of Control Strategies in Buildings
Previous Article in Journal
Evaluation of a 1 MW, 250 kW-hr Battery Energy Storage System for Grid Services for the Island of Hawaii
Previous Article in Special Issue
Cross-Border Energy Exchange and Renewable Premiums: The Case of the Iberian System
 
 
Review

A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting

1
Petroleum Engineering Department, Texas A&M University, College Station, TX 77843-3116, USA
2
Chemical and Petroleum Engineering Department, University of Calgary, Calgary, AB T2N-1N4, Canada
3
Department of Petroleum and Geosystems Engineering, University of Texas, Austin, TX 78712-1585, USA
4
Department of Petroleum Engineering, University of Houston, Houston, TX 77204-0945, USA
*
Author to whom correspondence should be addressed.
Current address: Petrobras America Inc., 10350 Richmond Ave, Houston, TX 77042, USA.
Energies 2018, 11(12), 3368; https://doi.org/10.3390/en11123368
Received: 24 September 2018 / Revised: 8 October 2018 / Accepted: 27 November 2018 / Published: 1 December 2018
(This article belongs to the Special Issue 10 Years Energies - Horizon 2028)
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. View Full-Text
Keywords: capacitance-resistance model; reservoir modeling; material balance; waterflooding; enhanced oil recovery capacitance-resistance model; reservoir modeling; material balance; waterflooding; enhanced oil recovery
Show Figures

Figure 1

MDPI and ACS Style

Holanda, R.W.d.; Gildin, E.; Jensen, J.L.; Lake, L.W.; Kabir, C.S. A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting. Energies 2018, 11, 3368. https://doi.org/10.3390/en11123368

AMA Style

Holanda RWd, Gildin E, Jensen JL, Lake LW, Kabir CS. A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting. Energies. 2018; 11(12):3368. https://doi.org/10.3390/en11123368

Chicago/Turabian Style

Holanda, Rafael Wanderley de, Eduardo Gildin, Jerry L. Jensen, Larry W. Lake, and C. Shah Kabir. 2018. "A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting" Energies 11, no. 12: 3368. https://doi.org/10.3390/en11123368

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop