A case study of improved understanding of reservoir connectivity in an evolving waterflood with surveillance data

Parekh, Bimal; Kabir, C.S.

doi:10.1016/j.petrol.2013.01.004

Cited by 24 publications

(10 citation statements)

References 25 publications

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“…Premised in material-balance and signal analysis, the CRM has been used for about a decade in the context of injector/producer connectivity for understanding waterflood performance. Yousef et al (2006), Sayarpour et al (2009a), and Weber et al (2009) have provided foundation to this CRM tool, whereas other authors have shown practical applications in various settings for waterfloods (Kaviani et al, 2012;Izgec, 2012, Parekh andKabir, 2013), CO 2 floods (Sayarpour et al, 2009b(Sayarpour et al, , 2011, and beyond (Izgec and Kabir 2010), among others. For a pattern of N i number of injectors and N p number of producers, the governing differential equation for this capacitance model is written as (Sayarpour et al, 2009a:…”

Section: Discussionmentioning

confidence: 99%

“…Many studies have reported CRM's successful application in a wide array of reservoirs of different degrees of complexity. Some of these examples include horizontal wells in a naturally fractured sandstone reservoir (Kabir and Boundy, 2011), water and CO 2 floods in carbonate reservoirs (Sayarpour et al, 2009b), interand intra-reservoir connectivity in a complex sets of reservoirs (Parekh and Kabir, 2013) and strong aquifer influx in a sandstone reservoir (Izgec and Kabir, 2010), among others. Here, the study's main objective was to obtain a connectivity map or fractional flow between the injectors and producers and corroborate the results with tracer and other measurements.…”

Section: Capacitance-resistance Modelingmentioning

confidence: 99%

“…When performances of different producers are plotted together, this tool readily provides clues about the degree of pressure support received at each producer. This tool has been used with good degree of success in understanding waterfloods, such as that discussed by Parekh and Kabir (2013), among others. Given its analytical roots, it appears quite robust and no known limitations have been encountered so long the bottomhole pressure is available.…”

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confidence: 99%

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Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

Olsen¹,

Kabir

2014

Journal of Petroleum Science and Engineering

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Section: Discussionmentioning

confidence: 99%

Section: Capacitance-resistance Modelingmentioning

confidence: 99%

mentioning

confidence: 99%

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Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

Olsen¹,

Kabir

2014

Journal of Petroleum Science and Engineering

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“…The field studies developed by Parekh and Kabir [49] are useful to illustrate the concepts of interwell and inter-reservoir connectivities and their application to reservoir management. The CRM derived f ij 's corroborated tracer testing results.…”

Section: Connectivity Interpretation Within a Flood Management Perspementioning

confidence: 99%

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

et al. 2018

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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.

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“…Sayarpour et al [2] further developed the CRM equations to several types of reservoir control volumes: tank model (CRMT), producer-based model (CRMP), and injector-producer pair based model (CRMIP). The CRM has also been integrated with other analytical tools (e.g., rate-transient analysis, (RTA)) for screening or monitoring the performance of various enhanced oil recovery (EOR) processes [10][11][12][13][14][15]. Recently, Mamghaderi and Pourafshary [16] established an improved CRM to investigate the effect of layers using data from production logging tools (PLTs).…”

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confidence: 99%

Improved CRM Model for Inter-Well Connectivity Estimation and Production Optimization: Case Study for Karst Reservoirs

Wang

Zhang

et al. 2019

Energies

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Due to the coexistence of multiple types of reservoir bodies and widely distributed aquifer support in karst carbonate reservoirs, it remains a great challenge to understand the reservoir flow dynamics based on traditional capacitance–resistance (CRM) models and Darcy’s percolation theory. To solve this issue, an improved injector–producer-pair-based CRM model coupling the effect of active aquifer support was first developed and combined with the newly-developed Stochastic Simplex Approximate Gradient (StoSAG) optimization algorithm for accurate inter-well connectivity estimation in a waterflood operation. The improved CRM–StoSAG workflow was further applied for real-time production optimization to find the optimal water injection rate at each control step by maximizing the net present value of production. The case study conducted for a typical karst reservoir indicated that the proposed workflow can provide good insight into complex multi-phase flow behaviors in karst carbonate reservoirs. Low connectivity coefficient and time delay constant most likely refer to active aquifer support through a high-permeable flow channel. Moreover, the injector–producer pair may be interconnected by complex fissure zones when both the connectivity coefficient and time delay constant are relatively large.

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A case study of improved understanding of reservoir connectivity in an evolving waterflood with surveillance data

Cited by 24 publications

References 25 publications

Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

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

Improved CRM Model for Inter-Well Connectivity Estimation and Production Optimization: Case Study for Karst Reservoirs

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