Improving Oil-Rate Estimate in Capacitance/Resistance Modeling Using the Y-Function Method for Reservoirs Under Waterflood

Temizel, Cenk
Artun, Emre
Yang, Zhengming
Capacitance/resistance modeling (CRM) is an empirical waterflood modeling technique based on the signal correlations between injection rates and gross production rates. CRM can satisfactorily estimate the gross (liquid) production rate. The oil-production-rate forecast is based on fitting the empirical oil fractional-flow model, the Leverett (1941) oil fractional-flow model, or the Koval (1963) model to the historical production data. We observed that the oil-production-rate forecast in this approach is less satisfactory.


Determination of three-phase relative permeabilty values by using an artificial neural network model
Karaman, T; Demiral, BMR (Informa UK Limited, 2004-08-01)
In this study, an artificial neural network (ANN) tool, which uses the data obtained from a pore network (PN) model, was developed in order to obtain three-phase relative permeability values. During the development of this ANN tool, four different stages were implemented in which ANN structures were changed in order to find the best architecture that would predict the oil isoperms correctly. By using the data obtained from the PN model, training was implemented and the prediction power of that tool was test...
Determination of two and three phase relative permeabilty values by using a pore network model
Karaman, T; Demiral, BMR (Informa UK Limited, 2004-06-01)
In this study, a Pore Network (PN) tool was developed in order to obtain two and three phase relative permeability values. It has been found that the observed results agree with published data. It has also been found that as contact angle increased, irreducible water saturation decreased, and oil relative permeability increased for two phase oil-water imbibition simulations. During the three phase displacement simulation by pore network simulation it was observed that water and gas relative permeabilities a...
A stochastic approach in reserve estimation
Kök, Mustafa Verşan (Informa UK Limited, 2006-12-01)
Geostatistics and more especially stochastic modeling of reservoir heterogeneities are being increasingly considered by reservoir analysts and engineers for their potential in generating more accurate reservoir models together with usable measures of spatial uncertainty. Geostatistics provides a probabilistic framework and a toolbox for data analysis with an early integration of information. The uncertainty about the spatial distribution of critical reservoir parameters is modeled and transferred all the wa...
Integrated nonlinear regression analysis of tracer and well test data
Akın, Serhat (Elsevier BV, 2003-08-01)
One frequent observation from conventional pressure transient test analysis is that field data match mathematical models derived for homogeneous systems. This observation suggests that pressure data as presently interpreted may not contain details concerning certain reservoir heterogeneities. On the other hand, tracer tests may be more sensitive to heterogeneous elements present in the reservoir because of the convective nature of the flow test. In this study, a possible improvement of conventional pressure...
Integrated analysis of pressure response using pressure-rate convolution and deconvolution techniques for varied flow rate production in fractured formations
Al-Rbeawi, Salam (Elsevier BV, 2018-03-01)
This paper introduces an integrated analysis for pressure transient behavior of conventional and unconventional multi-porous media reservoirs considering varied flow rate conditions. It focuses on the applications of pressure-rate convolution and deconvolution techniques for analyzing pressure records of homogenous single porous media, double porous media, and triple porous media reservoirs. The tasks covered in this paper are: Deconvloving pressure response, characterizing and developing analytical models ...
Citation Formats
C. Temizel, E. Artun, and Z. Yang, “Improving Oil-Rate Estimate in Capacitance/Resistance Modeling Using the Y-Function Method for Reservoirs Under Waterflood,” SPE RESERVOIR EVALUATION & ENGINEERING, pp. 1161–1171, 2019, Accessed: 00, 2020. [Online]. Available: