Estimation of interwell connectivity in the case of unmeasured fluctuating bottomhole pressures

Kaviani, Danial; Jensen, Jerry L.; Lake, Larry W.

doi:10.1016/j.petrol.2012.04.008

Cited by 71 publications

(34 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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%

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

Olsen¹,

Kabir

2014

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

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

Olsen¹,

Kabir

2014

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

“…By changing BHP of any producer, the production rates of the rest wells will be changed. When the producer BHP changes, we just shift the expected production rates by a constant rate [17]. Therefore, the modified MLR model can be rewritten as:…”

Section: Interwell Dynamic Connectivity Modelmentioning

confidence: 99%

Research on carbonate reservoir interwell connectivity based on a modified diffusivity filter model

Wang

et al. 2017

Open Physics

View full text Add to dashboard Cite

According to the solution of dual-porosity model, a diffusivity filter model of carbonate reservoir was established, which can effectively illustrate the injection signal attenuation and lag characteristic. The interwell dynamic connectivity inversion model combines a multivariate linear regression (MLR) analysis with a correction coefficient to eliminate the effect of fluctuating bottom-hole pressure (BHP). The modified MLR model was validated by synthetic field with fluctuating BHP. The method was applied to Tahe oilfield which showed that the inversion result was reliable. The interwell dynamic connectivity coefficients could reflect the real interwell connectivity of reservoir. The method is easy to use and proved to be effective in field applications.

show abstract

“…This well geometry has made it possible to interpret the CM connectivity values and relate them to the geological factors controlling fluid flow (e.g., Kaviani et al, 2012;Soroush et al, 2014;and Salazar et al, 2012). Even though the CM is a zero dimensional model, i.e., based on material balance, there has not been inter-horizontal well (HW) connectivity estimation using the CM.…”

Section: Figure 1-diagram and Rate Plots Showing The Masking Effect Omentioning

confidence: 99%

“…Since then, modified versions of the CM have emerged to estimate more stable and physical parameters when well operating conditions are changing. Kaviani et al (2012) modified the CM to be more tolerant to cases where BHPs are changing but unmeasured and the number of producers is not constant during the time window. They proposed the segmented CM for the absence of BHPs and the compensated CM for cases with producer shut-in periods.…”

Section: Introductionmentioning

confidence: 99%

Determining Well-to-Well Connectivity in Tight Reservoirs

Mirzayev

Riazi

Cronkwright

et al. 2015

Day 1 Tue, October 20, 2015

Self Cite

View full text Add to dashboard Cite

Drilling and fracture stimulating horizontal wells in economically marginal fields, such as tight oil reservoirs, is a common practice. Estimating the connectivity between these wells (IWC) is important for the design and management of a field when waterflood recovery is applied. For example, IWC affects the determination of fracture conductivity and length and can help identify favorable locations for infill drilling and optimize injection rates.Numerical simulators, such as streamline simulation need a geological model to determine IWC. Constructing the geological model, however, may take months. In this paper, we show how an alternative method, developed for and successfully applied in conventional reservoirs to determine IWC, can be modified to estimate tight formation IWC using solely production-and injection-rate fluctuations. The model is based on the Capacitance Model, or CM, and is modified to include a pseudo well (CM-PW).The CM-PW is tested with various heterogeneous simulation cases and field data. The CM-PW can identify inter-well heterogeneities and differentiate them spatially. We observed that in some cases the CM-PW performs better than streamline simulation results while calculating production allocation factors. The CM-PW detects whether all the injected fluid volume goes to producers. The model accuracy is based on the match to production data and, for all simulation cases, the model accuracy R 2 Ն 0.83. The field application, from a tight oil waterflood in the Bakken Formation, shows that the CM-PW results agree with tracer test results and field reports showing fracture hits between wells. Seismic interpretations also strongly support the CM-PW evaluations.The IWCs evaluated by the CM-PW during unsteady state flow periods provide key information to make a favorable decision at the early stage of water flooding in tight oil formations. Integrating the connectivity analysis, with tracer tests, seismic, and the geology enabled us to determine the reasons for the connectivity observed, identifying whether injected fluid flows through geological bodies or fractures between an injector-producer pair.

show abstract

Estimation of interwell connectivity in the case of unmeasured fluctuating bottomhole pressures

Cited by 71 publications

References 16 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

Research on carbonate reservoir interwell connectivity based on a modified diffusivity filter model

Determining Well-to-Well Connectivity in Tight Reservoirs

Contact Info

Product

Resources

About